‘Two hands are a lot’ — we’re hiring data scientists, project managers, policy experts, assorted weirdos…

‘This is possibly the single largest design flaw contributing to the bad Nash equilibrium in which … many governments are stuck. Every individual high-functioning competent person knows they can’t make much difference by being one more face in that crowd.’ Eliezer Yudkowsky, AI expert, LessWrong etc.

‘[M]uch of our intellectual elite who think they have “the solutions” have actually cut themselves off from understanding the basis for much of the most important human progress.’ Michael Nielsen, physicist and one of the handful of most interesting people I’ve ever talked to.

‘People, ideas, machines — in that order.’ Colonel Boyd.

‘There isn’t one novel thought in all of how Berkshire [Hathaway] is run. It’s all about … exploiting unrecognized simplicities.’ Charlie Munger,Warren Buffett’s partner.

‘Two hands, it isn’t much considering how the world is infinite. Yet, all the same, two hands, they are a lot.’ Alexander Grothendieck, one of the great mathematicians.

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There are many brilliant people in the civil service and politics. Over the past five months the No10 political team has been lucky to work with some fantastic officials. But there are also some profound problems at the core of how the British state makes decisions. This was seen by pundit-world as a very eccentric view in 2014. It is no longer seen as eccentric. Dealing with these deep problems is supported by many great officials, particularly younger ones, though of course there will naturally be many fears — some reasonable, most unreasonable.

Now there is a confluence of: a) Brexit requires many large changes in policy and in the structure of decision-making, b) some people in government are prepared to take risks to change things a lot, and c) a new government with a significant majority and little need to worry about short-term unpopularity while trying to make rapid progress with long-term problems.

There is a huge amount of low hanging fruit — trillion dollar bills lying on the street — in the intersection of:

  • the selection, education and training of people for high performance
  • the frontiers of the science of prediction
  • data science, AI and cognitive technologies (e.g Seeing Rooms, ‘authoring tools designed for arguing from evidence’, Tetlock/IARPA prediction tournaments that could easily be extended to consider ‘clusters’ of issues around themes like Brexit to improve policy and project management)
  • communication (e.g Cialdini)
  • decision-making institutions at the apex of government.

We want to hire an unusual set of people with different skills and backgrounds to work in Downing Street with the best officials, some as spads and perhaps some as officials. If you are already an official and you read this blog and think you fit one of these categories, get in touch.

The categories are roughly:

  • Data scientists and software developers
  • Economists
  • Policy experts
  • Project managers
  • Communication experts
  • Junior researchers one of whom will also be my personal assistant
  • Weirdos and misfits with odd skills

We want to improve performance and make me much less important — and within a year largely redundant. At the moment I have to make decisions well outside what Charlie Munger calls my ‘circle of competence’ and we do not have the sort of expertise supporting the PM and ministers that is needed. This must change fast so we can properly serve the public.

A. Unusual mathematicians, physicists, computer scientists, data scientists

You must have exceptional academic qualifications from one of the world’s best universities or have done something that demonstrates equivalent (or greater) talents and skills. You do not need a PhD — as Alan Kay said, we are also interested in graduate students as ‘world-class researchers who don’t have PhDs yet’.

You should have the following:

  • PhD or MSc in maths or physics.
  • Outstanding mathematical skills are essential.
  • Experience of using analytical languages: e.g. Python, SQL, R.
  • Familiarity with data tools and technologies such as Postgres, Scikit Learn, NEO4J.

A few examples of papers that you will be considering:

You should be able to explain to other mathematicians, physicists and computer scientists the ideas in such papers, discuss what could be useful for our projects, synthesise ideas for other data scientists, and apply them to practical problems. You won’t be expert on the maths used in all these papers but you should be confident that you could study it and understand it.

We will be using machine learning and associated tools so it is important you can program. You do not need software development levels of programming but it would be an advantage.

Those applying must watch Bret Victor’s talks and study Dynamic Land. If this excites you, then apply; if not, then don’t. I and others interviewing will discuss this with anybody who comes for an interview. If you want a sense of the sort of things you’d be working on, then read my previous blog on Seeing Rooms, cognitive technologies etc.

B. Unusual software developers

We are looking for great software developers who would love to work on these ideas, build tools and work with some great people. You should also look at some of Victor’s technical talks on programming languages and the history of computing.

You will be working with data scientists, designers and others.

C. Unusual economists

We are looking to hire some recent graduates in economics. You should a) have an outstanding record at a great university, b) understand conventional economic theories, c) be interested in arguments on the edge of the field — for example, work by physicists on ‘agent-based models’ or by the hedge fund Bridgewater on the failures/limitations of conventional macro theories/prediction, and d) have very strong maths and be interested in working with mathematicians, physicists, and computer scientists.

The ideal candidate might, for example, have a degree in maths and economics, worked at the LHC in one summer, worked with a quant fund another summer, and written software for a YC startup in a third summer!

We’ve found one of these but want at least one more.

The sort of conversation you might have is discussing these two papers in Science (2015): Computational rationality: A converging paradigm for intelligence in brains, minds, and machines, Gershman et al and Economic reasoning and artificial intelligence, Parkes & Wellman

You will see in these papers an intersection of:

  • von Neumann’s foundation of game theory and ‘expected utility’,
  • mainstream economic theories,
  • modern theories about auctions,
  • theoretical computer science (including problems like the complexity of probabilistic inference in Bayesian networks, which is in the NP–hard complexity class),
  • ideas on ‘computational rationality’ and meta-reasoning from AI, cognitive science and so on.

If these sort of things are interesting, then you will find this project interesting.

It’s a bonus if you can code but it isn’t necessary.

D. Great project managers.

If you think you are one of the a small group of people in the world who are truly GREAT at project management, then we want to talk to you. Victoria Woodcock ran Vote Leave — she was a truly awesome project manager and without her Cameron would certainly have won. We need people like this who have a 1 in 10,000 or higher level of skill and temperament.

The Oxford Handbook on Megaprojects points out that it is possible to quantify lessons from the failures of projects like high speed rail projects because almost all fail so there is a large enough sample to make statistical comparisons, whereas there can be no statistical analysis of successes because they are so rare.

It is extremely interesting that the lessons of Manhattan (1940s), ICBMs (1950s) and Apollo (1960s) remain absolutely cutting edge because it is so hard to apply them and almost nobody has managed to do it. The Pentagon systematically de-programmed itself from more effective approaches to less effective approaches from the mid-1960s, in the name of ‘efficiency’. Is this just another way of saying that people like General Groves and George Mueller are rarer than Fields Medallists?

Anyway — it is obvious that improving government requires vast improvements in project management. The first project will be improving the people and skills already here.

If you want an example of the sort of people we need to find in Britain, look at this on CC Myers — the legendary builders. SPEED. We urgently need people with these sort of skills and attitude. (If you think you are such a company and you could dual carriageway the A1 north of Newcastle in record time, then get in touch!)

E. Junior researchers

In many aspects of government, as in the tech world and investing, brains and temperament smash experience and seniority out of the park.

We want to hire some VERY clever young people either straight out of university or recently out with with extreme curiosity and capacity for hard work.

One of you will be a sort of personal assistant to me for a year — this will involve a mix of very interesting work and lots of uninteresting trivia that makes my life easier which you won’t enjoy. You will not have weekday date nights, you will sacrifice many weekends — frankly it will hard having a boy/girlfriend at all. It will be exhausting but interesting and if you cut it you will be involved in things at the age of ~21 that most people never see.

I don’t want confident public school bluffers. I want people who are much brighter than me who can work in an extreme environment. If you play office politics, you will be discovered and immediately binned.

F. Communications

In SW1 communication is generally treated as almost synonymous with ‘talking to the lobby’. This is partly why so much punditry is ‘narrative from noise’.

With no election for years and huge changes in the digital world, there is a chance and a need to do things very differently.

We’re particularly interested in deep experts on TV and digital. We also are interested in people who have worked in movies or on advertising campaigns. There are some very interesting possibilities in the intersection of technology and story telling — if you’ve done something weird, this may be the place for you.

I noticed in the recent campaign that the world of digital advertising has changed very fast since I was last involved in 2016. This is partly why so many journalists wrongly looked at things like Corbyn’s Facebook stats and thought Labour was doing better than us — the ecosystem evolves rapidly while political journalists are still behind the 2016 tech, hence why so many fell for Carole’s conspiracy theories. The digital people involved in the last campaign really knew what they are doing, which is incredibly rare in this world of charlatans and clients who don’t know what they should be buying. If you are interested in being right at the very edge of this field, join.

We have some extremely able people but we also must upgrade skills across the spad network.

G. Policy experts

One of the problems with the civil service is the way in which people are shuffled such that they either do not acquire expertise or they are moved out of areas they really know to do something else. One Friday, X is in charge of special needs education, the next week X is in charge of budgets.

There are, of course, general skills. Managing a large organisation involves some general skills. Whether it is Coca Cola or Apple, some things are very similar — how to deal with people, how to build great teams and so on. Experience is often over-rated. When Warren Buffett needed someone to turn around his insurance business he did not hire someone with experience in insurance: ‘When Ajit entered Berkshire’s office on a Saturday in 1986, he did not have a day’s experience in the insurance business’ (Buffett).

Shuffling some people who are expected to be general managers is a natural thing but it is clear Whitehall does this too much while also not training general management skills properly. There are not enough people with deep expertise in specific fields.

If you want to work in the policy unit or a department and you really know your subject so that you could confidently argue about it with world-class experts, get in touch.

It’s also the case that wherever you are most of the best people are inevitably somewhere else. This means that governments must be much better at tapping distributed expertise. Of the top 20 people in the world who best understand the science of climate change and could advise us what to do with COP 2020, how many now work as a civil servant/spad or will become one in the next 5 years?

G. Super-talented weirdos

People in SW1 talk a lot about ‘diversity’ but they rarely mean ‘true cognitive diversity’. They are usually babbling about ‘gender identity diversity blah blah’. What SW1 needs is not more drivel about ‘identity’ and ‘diversity’ from Oxbridge humanities graduates but more genuine cognitive diversity.

We need some true wild cards, artists, people who never went to university and fought their way out of an appalling hell hole, weirdos from William Gibson novels like that girl hired by Bigend as a brand ‘diviner’ who feels sick at the sight of Tommy Hilfiger or that Chinese-Cuban free runner from a crime family hired by the KGB. If you want to figure out what characters around Putin might do, or how international criminal gangs might exploit holes in our border security, you don’t want more Oxbridge English graduates who chat about Lacan at dinner parties with TV producers and spread fake news about fake news.

By definition I don’t really know what I’m looking for but I want people around No10 to be on the lookout for such people.

We need to figure out how to use such people better without asking them to conform to the horrors of ‘Human Resources’ (which also obviously need a bonfire).

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Send a max 1 page letter plus CV to ideasfornumber10@gmail.com and put in the subject line ‘job/’ and add after the / one of: data, developer, econ, comms, projects, research, policy, misfit.

I’ll have to spend time helping you so don’t apply unless you can commit to at least 2 years.

I’ll bin you within weeks if you don’t fit — don’t complain later because I made it clear now. 

I will try to answer as many as possible but last time I publicly asked for job applications in 2015 I was swamped and could not, so I can’t promise an answer. If you think I’ve insanely ignored you, persist for a while.

I will use this blog to throw out ideas. It’s important when dealing with large organisations to dart around at different levels, not be stuck with formal hierarchies. It will seem chaotic and ‘not proper No10 process’ to some. But the point of this government is to do things differently and better and this always looks messy. We do not care about trying to ‘control the narrative’ and all that New Labour junk and this government will not be run by ‘comms grid’.

As Paul Graham and Peter Thiel say, most ideas that seem bad are bad but great ideas also seem at first like bad ideas — otherwise someone would have already done them. Incentives and culture push people in normal government systems away from encouraging ‘ideas that seem bad’. Part of the point of a small, odd No10 team is to find and exploit, without worrying about media noise, what Andy Grove called ‘very high leverage ideas’ and these will almost inevitably seem bad to most.

I will post some random things over the next few weeks and see what bounces back — it is all upside, there’s no downside if you don’t mind a bit of noise and it’s a fast cheap way to find good ideas…

#29 On the referendum & #4c on Expertise: On the ARPA/PARC ‘Dream Machine’, science funding, high performance, and UK national strategy

Post-Brexit Britain should be considering the intersection of 1) ARPA/PARC-style science research and ‘systems management’ for managing complex projects with 2) the reform of government institutions so that high performance teams — with different education/training (‘Tetlock processes’) and tools (including data science and visualisations of interactive models of complex systems) — can make ‘better decisions in a complex world’.  

This paper examines the ARPA/PARC vision for computing and the nature of the two organisations. In the 1960s visionaries such as Joseph Licklider, Robert Taylor and Doug Engelbart developed a vision of networked interactive computing that provided the foundation not just for new technologies but for whole new industries. Licklider, Sutherland, Taylor et al provided a model (ARPA) for how science funding can work. Taylor provided a model (PARC) of how to manage a team of extremely talented people who turned a profound vision into reality. The original motivation for the vision of networked interactive computing was to help humans make good decisions in a complex world.

This story suggests ideas about how to make big improvements in the world with very few resources if they are structured right. From a British perspective it also suggests ideas about what post-Brexit Britain should do to help itself and the world and how it might be possible to force some sort of ‘phase transition’ on the rotten Westminster/Whitehall system.

For the PDF of the paper click HERE. Please correct errors with page numbers below. I will update it after feedback.

Further Reading

The Dream Machine.

Dealers of Lightning.

‘Sketchpad: A man-machine graphical communication system’, Ivan Sutherland 1963.

Oral history interview with Sutherland, head of ARPA’s IPTO division 1963-5.

This link has these seminal papers:

  • Man-Computer Symbiosis, Licklider (1960)
  • The computer as a communications device, Licklider & Taylor (1968)

Watch Alan Kay explain how to invent the future to YCombinator classes HERE and HERE.  

HERE for Kay quotes from emails with Bret Victor.

HERE for Kay’s paper on PARC, The Power of the Context.

Kay’s Early History of Smalltalk.

HERE for a conversation between Kay and Engelbart.

Alan Kay’s tribute to Ted Nelson at “Intertwingled” Fest (an Alto using Smalltalk).

Personal Distributed Computing: The Alto and Ethernet Software1, Butler Lampson. 

You and Your Research, Richard Hamming.

AI nationalism, essay by Ian Hogarth. This concerns implications of AI for geopolitics.

Drones go to work, Chris Anderson (one of the pioneers of commercial drones). This explains the economics of the drone industry.

Meditations on Moloch, Scott Alexander. This is an extremely good essay in general about deep problems with our institutions.

Intelligence Explosion Microeconomics, Yudkowsky.

Autonomous technology and the greater human good. Omohundro.

Can intelligence explode? Hutter.

For the issue of IQ, genetics and the distribution of talent (and much much more), cf. Steve Hsu’s brilliant blog.

Bret Victor.

Michael Nielsen.

For some pre-history on computers, cf. The birth of computational thinking (some of the history of computing devices before the Turing/von Neumann revolution) and The crisis of mathematical paradoxes, Gödel, Turing and the basis of computing (some of the history of ideas about mathematical foundations and logic such as the famous papers by Gödel and Turing in the 1930s)

Part I of this series of blogs is HERE.

Part II on the emergence of ‘systems management’, how George Mueller used it to put man on the moon, and a checklist of how successful management of complex projects is systematically different to how Whitehall works is HERE.

Effective action #4b: ‘Expertise’, prediction and noise, from the NHS killing people to Brexit

In part A I looked at extreme sports as some background to the question of true expertise and the crucial nature of fast high quality feedback.

This blog looks at studies comparing expertise in many fields over decades, including work by Tetlock and Kahneman, and problems like — why people don’t learn to use even simple tools to stop children dying unnecessarily. There is a summary of some basic lessons at the end.

The reason for writing about this is that we will only improve the performance of government (at individual, team and institutional levels) if we reflect on:

  • what expertise really is and why do some very successful fields cultivate it effectively while others, like government, do not;
  • how to select much higher quality people (it’s insane people as ignorant and limited as me can have the influence we do in the way we do — us limited duffers can help in limited ways but why do we deliberately exclude ~100% of the most intelligent, talented, relentless, high performing people from fields with genuine expertise, why do we not have people like Fields Medallist Tim Gowers or Michael Nielsen as Chief Scientist  sitting ex officio in Cabinet?);
  • how to train people effectively to develop true expertise in skills relevant to government: it needs different intellectual content (PPE/economics are NOT good introductory degrees) and practice in practical skills (project management, making predictions and in general ‘thinking rationally’) with lots of fast, accurate feedback;
  • how to give them effective tools: e.g the Cabinet Room is worse in this respect than it was in July 1914 — at least then the clock and fireplace worked, and Lord Salisbury in the 1890s would walk round the Cabinet table gathering papers to burn in the grate — while today No10 is decades behind the state-of-the-art in old technologies like TV, doesn’t understand simple tools like checklists, and is nowhere with advanced technologies;
  • and how to ‘program’ institutions differently so that 1) people are more incentivised to optimise things we want them to optimise, like error-correction and predictive accuracy, and less incentivised to optimise bureaucratic process, prestige, and signalling as our institutions now do to a dangerous extent, and, connected, so that 2) institutions are much better at building high performance teams rather than continue normal rules that make this practically illegal, and so that 3) we have ‘immune systems’ to minimise the inevitable failures of even the best people and teams .

In SW1 now, those at the apex of power practically never think in a serious way about the reasons for the endemic dysfunctional decision-making that constitutes most of their daily experience or how to change it. What looks like omnishambles to the public and high performers in technology or business is seen by Insiders, always implicitly and often explicitly, as ‘normal performance’. ‘Crises’ such as the collapse of Carillion or our farcical multi-decade multi-billion ‘aircraft carrier’ project occasionally provoke a few days of headlines but it’s very rare anything important changes in the underlying structures and there is no real reflection on system failure.

This fact is why, for example, a startup created in a few months could win a referendum that should have been unwinnable. It was the systemic and consistent dysfunction of Establishment decision-making systems over a long period, with very poor mechanisms for good accurate feedback from reality, that created the space for a guerrilla operation to exploit.

This makes it particularly ironic that even after Westminster and Whitehall have allowed their internal consensus about UK national strategy to be shattered by the referendum, there is essentially no serious reflection on this system failure. It is much more psychologically appealing for Insiders to blame ‘lies’ (Blair and Osborne really say this without blushing), devilish use of technology to twist minds and so on. Perhaps the most profound aspect of broken systems is they cannot reflect on the reasons why they’re broken  — never mind take effective action. Instead of serious thought, we have high status Insiders like Campbell reduced to bathos with whining on social media about Brexit ‘impacting mental health’. This lack of reflection is why Remain-dominated Insiders lurched from failure over the referendum to failure over negotiations. OODA loops across SW1 are broken and this is very hard to fix — if you can’t orient to reality how do you even see your problem well? (NB. It should go without saying that there is a faction of pro-Brexit MPs, ‘campaigners’ and ‘pro-Brexit economists’ who are at least as disconnected from reality, often more, as the May/Hammond bunker.)

Screenshot 2018-06-05 10.05.19

In the commercial world, big companies mostly die within a few decades because they cannot maintain an internal system to keep them aligned to reality plus startups pop up. These two factors create learning at a system level — there is lots of micro failure but macro productivity/learning in which useful information is compressed and abstracted. In the political world, big established failing systems control the rules, suck in more and more resources rather than go bust, make it almost impossible for startups to contribute and so on. Even failures on the scale of the 2008 Crash or the 2016 referendum do not necessarily make broken systems face reality, at least quickly. Watching Parliament’s obsession with trivia in the face of the Cabinet’s and Whitehall’s contemptible failure to protect the interests of millions in the farcical Brexit negotiations is like watching the secretary to the Singapore Golf Club objecting to guns being placed on the links as the Japanese troops advanced.

Neither of the main parties has internalised the reality of these two crises. The Tories won’t face reality on things like corporate looting and the NHS, Labour won’t face reality on things like immigration and the limits of bureaucratic centralism. Neither can cope with the complexity of Brexit and both just look like I would look like in the ring with a professional fighter — baffled, terrified and desperate for a way to escape. There are so many simple ways to improve performance — and their own popularity! — but the system is stuck in such a closed loop it wilfully avoids seeing even the most obvious things and suppresses Insiders who want to do things differently…

But… there is a network of almost entirely younger people inside or close to the system thinking ‘we could do so much better than this’. Few senior Insiders are interested in these questions but that’s OK — few of them listened before the referendum either. It’s not the people now in power and running the parties and Whitehall who will determine whether we make Brexit a platform to contribute usefully to humanity’s biggest challenges but those that take over.

Doing better requires reflecting on what we know about real expertise…

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How to distinguish between fields dominated by real expertise and those dominated by confident ‘experts’ who make bad predictions?

We know a lot about the distinction between fields in which there is real expertise and fields dominated by bogus expertise. Daniel Kahneman, who has published some of the most important research about expertise and prediction, summarises the two fundamental tests to ask about a field: 1) is there enough informational structure in the environment to allow good predictions, and 2) is there timely and effective feedback that enables error-correction and learning.

‘To know whether you can trust a particular intuitive judgment, there are two questions you should ask: Is the environment in which the judgment is made sufficiently regular to enable predictions from the available evidence? The answer is yes for diagnosticians, no for stock pickers. Do the professionals have an adequate opportunity to learn the cues and the regularities? The answer here depends on the professionals’ experience and on the quality and speed with which they discover their mistakes. Anesthesiologists have a better chance to develop intuitions than radiologists do. Many of the professionals we encounter easily pass both tests, and their off-the-cuff judgments deserve to be taken seriously. In general, however, you should not take assertive and confident people at their own evaluation unless you have independent reason to believe that they know what they are talking about.’ (Emphasis added.)

In fields where these two elements are present there is genuine expertise and people build new knowledge on the reliable foundations of previous knowledge. Some fields make a transition from stories (e.g Icarus) and authority (e.g ‘witch doctor’) to quantitative models (e.g modern aircraft) and evidence/experiment (e.g some parts of modern medicine/surgery). As scientists have said since Newton, they stand on the shoulders of giants.

How do we assess predictions / judgement about the future?

‘Good judgment is often gauged against two gold standards – coherence and correspondence. Judgments are coherent if they demonstrate consistency with the axioms of probability theory or propositional logic. Judgments are correspondent if they agree with ground truth. When gold standards are unavailable, silver standards such as consistency and discrimination can be used to evaluate judgment quality. Individuals are consistent if they assign similar judgments to comparable stimuli, and they discriminate if they assign different judgments to dissimilar stimuli.

‘Coherence violations range from base rate neglect and confirmation bias to overconfidence and framing effects (Gilovich, Griffith & Kahneman, 2002; Kahneman, Slovic & Tversky, 1982). Experts are not immune. Statisticians (Christensen-Szalanski & Bushyhead, 1981), doctors (Eddy, 1982), and nurses (Bennett, 1980) neglect base rates. Physicians and intelligence professionals are susceptible to framing effects and financial investors are prone to overconfidence.

‘Research on correspondence tells a similar story. Numerous studies show that human predictions are frequently inaccurate and worse than simple linear models in many domains (e.g. Meehl, 1954; Dawes, Faust & Meehl, 1989). Once again, expertise doesn’t necessarily help. Inaccurate predictions have been found in parole officers, court judges, investment managers in the US and Taiwan, and politicians. However, expert predictions are better when the forecasting environment provides regular, clear feedback and there are repeated opportunities to learn (Kahneman & Klein, 2009; Shanteau, 1992). Examples include meteorologists, professional bridge players, and bookmakers at the racetrack, all of whom are well-calibrated in their own domains.‘ (Tetlock, How generalizable is good judgment?, 2017.)

In another 2017 piece Tetlock explored the studies furtherIn the 1920s researchers built simple models based on expert assessments of 500 ears of corn and the price they would fetch in the market. They found that ‘to everyone’s surprise, the models that mimicked the judges’ strategies nearly always performed better than the judges themselves’ (Tetlock, cf. ‘What Is in the Corn Judge’s Mind?’, Journal of American Society for Agronomy, 1923). Banks found the same when they introduced models for credit decisions.

‘In other fields, from predicting the performance of newly hired salespeople to the bankruptcy risks of companies to the life expectancies of terminally ill cancer patients, the experience has been essentially the same. Even though experts usually possess deep knowledge, they often do not make good predictions

When humans make predictions, wisdom gets mixed with “random noise.”… Bootstrapping, which incorporates expert judgment into a decision-making model, eliminates such inconsistencies while preserving the expert’s insights. But this does not occur when human judgment is employed on its own…

In fields ranging from medicine to finance, scores of studies have shown that replacing experts with models of experts produces superior judgments. In most cases, the bootstrapping model performed better than experts on their own. Nonetheless, bootstrapping models tend to be rather rudimentary in that human experts are usually needed to identify the factors that matter most in making predictions. Humans are also instrumental in assigning scores to the predictor variables (such as judging the strength of recommendation letters for college applications or the overall health of patients in medical cases). What’s more, humans are good at spotting when the model is getting out of date and needs updating…

Human experts typically provide signal, noise, and bias in unknown proportions, which makes it difficult to disentangle these three components in field settings. Whether humans or computers have the upper hand depends on many factors, including whether the tasks being undertaken are familiar or unique. When tasks are familiar and much data is available, computers will likely beat humans by being data-driven and highly consistent from one case to the next. But when tasks are unique (where creativity may matter more) and when data overload is not a problem for humans, humans will likely have an advantage…

One might think that humans have an advantage over models in understanding dynamically complex domains, with feedback loops, delays, and instability. But psychologists have examined how people learn about complex relationships in simulated dynamic environments (for example, a computer game modeling an airline’s strategic decisions or those of an electronics company managing a new product). Even after receiving extensive feedback after each round of play, the human subjects improved only slowly over time and failed to beat simple computer models. This raises questions about how much human expertise is desirable when building models for complex dynamic environments. The best way to find out is to compare how well humans and models do in specific domains and perhaps develop hybrid models that integrate different approaches.‘ (Tetlock)

Kahneman also recently published new work relevant to this.

Research has confirmed that in many tasks, experts’ decisions are highly variable: valuing stocks, appraising real estate, sentencing criminals, evaluating job performance, auditing financial statements, and more. The unavoidable conclusion is that professionals often make decisions that deviate significantly from those of their peers, from their own prior decisions, and from rules that they themselves claim to follow.’

In general organisations spend almost no effort figuring out how noisy the predictions made by senior staff are and how much this costs. Kahneman has done some ‘noise audits’ and shown companies that management make MUCH more variable predictions than people realise.

‘What prevents companies from recognizing that the judgments of their employees are noisy? The answer lies in two familiar phenomena: Experienced professionals tend to have high confidence in the accuracy of their own judgments, and they also have high regard for their colleagues’ intelligence. This combination inevitably leads to an overestimation of agreement. When asked about what their colleagues would say, professionals expect others’ judgments to be much closer to their own than they actually are. Most of the time, of course, experienced professionals are completely unconcerned with what others might think and simply assume that theirs is the best answer. One reason the problem of noise is invisible is that people do not go through life imagining plausible alternatives to every judgment they make.

‘High skill develops in chess and driving through years of practice in a predictable environment, in which actions are followed by feedback that is both immediate and clear. Unfortunately, few professionals operate in such a world. In most jobs people learn to make judgments by hearing managers and colleagues explain and criticize—a much less reliable source of knowledge than learning from one’s mistakes. Long experience on a job always increases people’s confidence in their judgments, but in the absence of rapid feedback, confidence is no guarantee of either accuracy or consensus.’

Reviewing the point that Tetlock makes about simple models beating experts in many fields, Kahneman summarises the evidence:

‘People have competed against algorithms in several hundred contests of accuracy over the past 60 years, in tasks ranging from predicting the life expectancy of cancer patients to predicting the success of graduate students. Algorithms were more accurate than human professionals in about half the studies, and approximately tied with the humans in the others. The ties should also count as victories for the algorithms, which are more cost-effective…

‘The common assumption is that algorithms require statistical analysis of large amounts of data. For example, most people we talk to believe that data on thousands of loan applications and their outcomes is needed to develop an equation that predicts commercial loan defaults. Very few know that adequate algorithms can be developed without any outcome data at all — and with input information on only a small number of cases. We call predictive formulas that are built without outcome data “reasoned rules,” because they draw on commonsense reasoning.

‘The construction of a reasoned rule starts with the selection of a few (perhaps six to eight) variables that are incontrovertibly related to the outcome being predicted. If the outcome is loan default, for example, assets and liabilities will surely be included in the list. The next step is to assign these variables equal weight in the prediction formula, setting their sign in the obvious direction (positive for assets, negative for liabilities). The rule can then be constructed by a few simple calculations.

The surprising result of much research is that in many contexts reasoned rules are about as accurate as statistical models built with outcome data. Standard statistical models combine a set of predictive variables, which are assigned weights based on their relationship to the predicted outcomes and to one another. In many situations, however, these weights are both statistically unstable and practically unimportant. A simple rule that assigns equal weights to the selected variables is likely to be just as valid. Algorithms that weight variables equally and don’t rely on outcome data have proved successful in personnel selection, election forecasting, predictions about football games, and other applications.

‘The bottom line here is that if you plan to use an algorithm to reduce noise, you need not wait for outcome data. You can reap most of the benefits by using common sense to select variables and the simplest possible rule to combine them…

‘Uncomfortable as people may be with the idea, studies have shown that while humans can provide useful input to formulas, algorithms do better in the role of final decision maker. If the avoidance of errors is the only criterion, managers should be strongly advised to overrule the algorithm only in exceptional circumstances.

Jim Simons is a mathematician and founder of the world’s most successful ‘quant fund’, Renaissance Technologies. While market prices appear close to random and are therefore extremely hard to predict, they are not quite random and the right models/technology can exploit these small and fleeting opportunities. One of the lessons he learned early was: Don’t turn off the model and go with your gut. At Renaissance, they trust models over instincts. The Bridgewater hedge fund led by Ray Dalio is similar. After near destruction early in his career, Dalio explicitly turned towards explicit model building as the basis for decisions combined with radical attempts to create an internal system that incentivises the optimisation of error-correction. It works.

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People fail to learn from even the great examples of success and the simplest lessons

One of the most interesting meta-lessons of studying high performance, though, is that simply demonstrating extreme success does NOT lead to much learning. For example:

  • ARPA and PARC created the internet and PC. The PARC research team was an extraordinary collection of about two dozen people who were managed in a very unusual way that created super-productive processes extremely different to normal bureaucracies. XEROX, which owned PARC, had the entire future of the computer industry in its own hands, paid for by its own budgets, and it simultaneously let Bill Gates and Steve Jobs steal everything and XEROX then shut down the research team that did it. And then, as Silicon Valley grew on the back of these efforts, almost nobody, including most of the billionaires who got rich from the dynamics created by ARPA-PARC, studied the nature of the organisation and processes and copied it. Even today, those trying to do edge-of-the-art research in a similar way to PARC right at the heart of the Valley ecosystem are struggling for long-term patient funding. As Alan Kay, one of the PARC team, said, ‘The most interesting thing has been the contrast between appreciation/exploitation of the inventions/contributions [of PARC] versus the almost complete lack of curiosity and interest in the processes that produced them. ARPA survived being abolished in the 1970s but it was significantly changed and is no longer the freewheeling place that it was in the 1960s when it funded the internet. In many ways DARPA’s approach now is explicitly different to the old ARPA (the addition of the ‘D’ was a sign of internal bureaucratic changes).

Screenshot 2018-06-05 14.55.00

  • ‘Systems management’ was invented in the 1950s and 1960s (partly based on wartime experience of large complex projects) to deal with the classified ICBM project and Apollo. It put man on the moon then NASA largely abandoned the approach and reverted to being (relative to 1963-9) a normal bureaucracy. Most of Washington has ignored the lessons ever since — look for example at the collapse of ObamaCare’s rollout, after which Insiders said ‘oh, looks like it was a system failure, wonder how we deal with this’, mostly unaware that America had developed a successful approach to such projects half a century earlier. This is particularly interesting given that China also studied Mueller’s approach to systems management in Apollo and as we speak is copying it in projects across China. The EU’s bureaucracy is, like Whitehall, an anti-checklist to high level systems management — i.e they violate almost every principle of effective action.
  • Buffett and Munger are the most successful investment partnership in world history. Every year for half a century they have explained some basic principles, particularly concerning incentives, behind organisational success. Practically no public companies take their advice and all around us in Britain we see vast corporate looting and politicians of all parties failing to act — they don’t even read the Buffett/Munger lessons and think about them. Even when given these lessons to read, they won’t read them (I know this because I’ve tried).

Perhaps you’re thinking — well, learning from these brilliant examples might be intrinsically really hard, much harder than Cummings thinks. I don’t think this is quite right. Why? Partly because millions of well-educated and normally-ethical people don’t learn even from much simpler things.

I will explore this separately soon but I’ll give just one example. The world of healthcare unnecessarily kills and injures people on a vast scale. Two aspects of this are 1) a deep resistance to learning from the success of very simple tools like checklists and 2) a deep resistance to face the fact that most medical experts do not understand statistics properly and their routine misjudgements cause vast suffering, plus warped incentives encourage widespread lies about statistics and irrational management. E.g People are constantly told things like ‘you’ve tested positive for X therefore you have X’ and they then kill themselves. We KNOW how to practically eliminate certain sorts of medical injury/death. We KNOW how to teach and communicate statistics better. (Cf. Professor Gigerenzer for details. He was the motivation for including things like conditional probabilities in the new National Curriculum.) These are MUCH simpler than building ICBMs, putting man on the moon, creating the internet and PC, or being great investors. Yet our societies don’t do them.

Why?

Because we do not incentivise error-correction and predictive accuracy. People are not incentivised to consider the cost of their noisy judgements. Where incentives and culture are changed, performance magically changes. It is the nature of the systems, not (mostly) the nature of the people, that is the crucial ingredient in learning from proven simple success. In healthcare like in government generally, people are incentivised to engage in wasteful/dangerous signalling to a terrifying degree — not rigorous thinking and not solving problems.

I have experienced the problem with checklists first hand in the Department for Education when trying to get the social worker bureaucracy to think about checklists in the context of avoiding child killings like Baby P. Professionals tend to see them as undermining their status and bureaucracies fight against learning, even when some great officials try really hard (as some in the DfE did such as Pamela Dow and Victoria Woodcock). ‘Social work is not the same as an airline Dominic’. No shit. Airlines can handle millions of people without killing one of them because they align incentives with predictive accuracy and error-correction.

Some appalling killings are inevitable but the social work bureaucracy will keep allowing unnecessary killings because they will not align incentives with error-correction. Undoing flawed incentives threatens the system so they’ll keep killing children instead — and they’re not particularly bad people, they’re normal people in a normal bureaucracy. The pilot dies with the passengers. The ‘CEO’ on over £150,000 a year presiding over another unnecessary death despite constantly increasing taxpayers money pouring in? Issue a statement that ‘this must never happen again’, tell the lawyers to redact embarrassing cockups on the grounds of ‘protecting someone’s anonymity’ (the ECHR is a great tool to cover up death by incompetence), fuck off to the golf course, and wait for the media circus to move on.

Why do so many things go wrong? Because usually nobody is incentivised to work relentlessly to suppress entropy, never mind come up with something new.

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We can see some reasonably clear conclusions from decades of study on expertise and prediction in many fields.

  • Some fields are like extreme sport or physics: genuine expertise emerges because of fast effective feedback on errors.
  • Abstracting human wisdom into models often works better than relying on human experts as models are often more consistent and less noisy.
  • Models are also often cheaper and simpler to use.
  • Models do not have to be complex to be highly effective — quite the opposite, often simpler models outperform more sophisticated and expensive ones.
  • In many fields (which I’ve explored before but won’t go into again here) low tech very simple checklists have been extremely effective: e.g flying aircraft or surgery.
  • Successful individuals like Warren Buffett and Ray Dalio also create cognitive checklists to trap and correct normal cognitive biases that degrade individual and team performance.
  • Fields make progress towards genuine expertise when they make a transition from stories (e.g Icarus) and authority (e.g ‘witch doctor’) to quantitative models (e.g modern aircraft) and evidence/experiment (e.g some parts of modern medicine/surgery).
  • In the intellectual realm, maths and physics are fields dominated by genuine expertise and provide a useful benchmark to compare others against. They are also hierarchical. Social sciences have little in common with this.
  • Even when we have great examples of learning and progress, and we can see the principles behind them are relatively simple and do not require high intelligence to understand, they are so psychologically hard and run so counter to the dynamics of normal big organisations, that almost nobody learns from them. Extreme success is ‘easy to learn from’ in one sense and ‘the hardest thing in the world to learn from’ in another sense.

It is fascinating how remarkably little interest there is in the world of politics/government, and social sciences analysing politics/government, about all this evidence. This is partly because politics/government is an anti-learning and anti-expertise field, partly because the social sciences are swamped by what Feynman called ‘cargo cult science’ with very noisy predictions, little good feedback and learning, and a lot of chippiness at criticism whether it’s from statistics experts or the ‘ignorant masses’. Fields like ‘education research’ and ‘political science’ are particularly dreadful and packed with charlatans but much of economics is not much better (much pro- and anti-Brexit mainstream economics is classic ‘cargo cult’).

I have found there is overwhelmingly more interest in high technology circles than in government circles, but in high technology circles there is also a lot of incredulity and naivety about how government works — many assume politicians are trying and failing to achieve high performance and don’t realise that in fact nobody is actually trying. This illusion extends to many well-connected businessmen who just can’t internalise the reality of the apex of power. I find that uneducated people on 20k living hundreds of miles from SW1 generally have a more accurate picture of daily No10 work than extremely well-connected billionaires.

This is all sobering and is another reason to be pessimistic about the chances of changing government from ‘normal’ to ‘high performance’ — but, pessimism of the intellect, optimism of the will…

If you are in Whitehall now watching the Brexit farce or abroad looking at similar, you will see from page 26 HERE a checklist for how to manage complex government projects at world class levels (if you find this interesting then read the whole paper). I will elaborate on this. I am also thinking about a project to look at the intersection of (roughly) five fields in order to make large improvements in the quality of people, ideas, tools, and institutions that determine political/government decisions and performance:

  • the science of prediction across different fields (e.g early warning systems, the Tetlock/IARPA project showing dramatic performance improvements),
  • what we know about high performance (individual/team/organisation) in different fields (e.g China’s application of ‘systems management’ to government),
  • technology and tools (e.g Bret Victor’s work, Michael Nielsen’s work on cognitive technologies, work on human-AI ‘minotaur’ teams),
  • political/government decision making affecting millions of people and trillions of dollars (e.g WMD, health), and
  • communication (e.g crisis management, applied psychology).

Progress requires attacking the ‘system of systems’ problem at the right ‘level’. Attacking the problems directly — let’s improve policy X and Y, let’s swap ‘incompetent’ A for ‘competent’ B — cannot touch the core problems, particularly the hardest meta-problem that government systems bitterly fight improvement. Solving the explicit surface problems of politics and government is best approached by a more general focus on applying abstract principles of effective action. We need to surround relatively specific problems with a more general approach. Attack at the right level will see specific solutions automatically ‘pop out’ of the system. One of the most powerful simplicities in all conflict (almost always unrecognised) is: ‘winning without fighting is the highest form of war’. If we approach the problem of government performance at the right level of generality then we have a chance to solve specific problems ‘without fighting’ — or, rather, without fighting nearly so much and the fighting will be more fruitful.

This is not a theoretical argument. If you look carefully at ancient texts and modern case studies, you see that applying a small number of very simple, powerful, but largely unrecognised principles (that are very hard for organisations to operationalise) can produce extremely surprising results.

How to jump from the Idea to Reality? More soon…


Ps. Just as I was about to hit publish on this, the DCMS Select Committee released their report on me. The sentence about the Singapore golf club at the top comes to mind.

The unrecognised simplicities of effective action #3: lessons on ‘capturing the heavens’ from the ARPA/PARC project that created the internet & PC

Below is a short summary of some basic principles of the ARPA/PARC project that created the internet and the personal computer. I wrote it originally as part of an anniversary blog on the referendum but it is also really part of this series on effective action.

One of the most interesting aspects of this project, like Mueller’s reforms of NASA, is the contrast between 1) extreme effectiveness, changing the world in a profound way, and 2) the general reaction to the methods was not only a failure to learn but a widespread hostility inside established bureaucracies (public and private) to the successful approach: NASA dropped Mueller’s approach when he left and has never been the same, and XEROX closed PARC and fired Bob Taylor. Changing the world in a profound and beneficial way is not enough to put a dint in bureaucracies which operate on their own dynamics.

Warren Buffet explained decades ago how institutions actively fight against learning and fight to stay in a closed and vicious feedback loop:

‘My most surprising discovery: the overwhelming importance in business of an unseen force that we might call “the institutional imperative”. In business school, I was given no hint of the imperative’s existence and I did not intuitively understand it when I entered the business world. I thought then that decent, intelligence, and experienced managers would automatically make rational business decisions. But I learned the hard way that isn’t so. Instead rationality frequently wilts when the institutional imperative comes into play.

‘For example, 1) As if governed by Newton’s First Law, any institution will resist any change in its current direction. 2) … Corporate projects will materialise to soak up available funds. 3) Any business craving of the leader, however foolish, will quickly be supported by … his troops. 4) The behaviour of peer companies … will be mindlessly imitated.’

Many of the principles behind ARPA/PARC could be applied to politics and government but they will not be learned from ‘naturally’ inside the system. Dramatic improvements will only happen if a group of people force ‘system’ changes on how government works so it is open to learning.

I have modified the below very slightly and added some references.

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ARPA/PARC and ‘capturing the heavens’: The best way to predict the future is to invent it

The panic over Sputnik brought many good things such as a huge increase in science funding. America also created the Advanced Research Projects Agency (ARPA, which later added ‘Defense’ and became DARPA). Its job was to fund high risk / high payoff technology development. In the 1960s and 1970s, a combination of unusual people and unusually wise funding from ARPA created a community that in turn invented the internet, or ‘the intergalactic network’ as Licklider originally called it, and the personal computer. One of the elements of this community was PARC, a research centre working for Xerox. As Bill Gates said, he and Steve Jobs essentially broke into PARC, stole their ideas, and created Microsoft and Apple.

The ARPA/PARC project is an example of how if something is set up properly then a tiny number of people can do extraordinary things.

  • PARC had about 25 people and about $12 million per year in today’s money.
  • The breakthroughs from the ARPA/PARC project  created over 35 TRILLION DOLLARS of value for society and counting.
  • The internet architecture they built, based on decentralisation and distributed control, has scaled up over ten orders of magnitude (1010) without ever breaking and without ever being taken down for maintenance since 1969.

The whole story is fascinating in many ways. I won’t go into the technological aspects. I just want to say something about the process.

What does a process that produces ideas that change the world look like?

One of the central figures was Alan Kay. One of the most interesting things about the project is that not only has almost nobody tried to repeat this sort of research but the business world has even gone out of its way to spread mis-information about it because it was seen as so threatening to business-as-usual.

I will sketch a few lessons from one of Kay’s pieces but I urge you to read the whole thing.

‘This is what I call “The power of the context” or “Point of view is worth 80 IQ points”. Science and engineering themselves are famous examples, but there are even more striking processes within these large disciplines. One of the greatest works of art from that fruitful period of ARPA/PARC research in the 60s and 70s was the almost invisible context and community that catalysed so many researchers to be incredibly better dreamers and thinkers. That it was a great work of art is confirmed by the world-changing results that appeared so swiftly, and almost easily. That it was almost invisible, in spite of its tremendous success, is revealed by the disheartening fact today that, as far as I’m aware, no governments and no companies do edge-of-the-art research using these principles.’

‘[W]hen I think of ARPA/PARC, I think first of good will, even before brilliant people… Good will and great interest in graduate students as “world-class researchers who didn’t have PhDs yet” was the general rule across the ARPA community.

‘[I]t is no exaggeration to say that ARPA/PARC had “visions rather than goals” and “funded people, not projects”. The vision was “interactive computing as a complementary intellectual partner for people pervasively networked world-wide”. By not trying to derive specific goals from this at the funding side, ARPA/PARC was able to fund rather different and sometimes opposing points of view.

‘The pursuit of Art always sets off plans and goals, but plans and goals don’t always give rise to Art. If “visions not goals” opens the heavens, it is important to find artistic people to conceive the projects.

‘Thus the “people not projects” principle was the other cornerstone of ARPA/PARC’s success. Because of the normal distribution of talents and drive in the world, a depressingly large percentage of organizational processes have been designed to deal with people of moderate ability, motivation, and trust. We can easily see this in most walks of life today, but also astoundingly in corporate, university, and government research. ARPA/PARC had two main thresholds: self-motivation and ability. They cultivated people who “had to do, paid or not” and “whose doings were likely to be highly interesting and important”. Thus conventional oversight was not only not needed, but was not really possible. “Peer review” wasn’t easily done even with actual peers. The situation was “out of control”, yet extremely productive and not at all anarchic.

‘”Out of control” because artists have to do what they have to do. “Extremely productive” because a great vision acts like a magnetic field from the future that aligns all the little iron particle artists to point to “North” without having to see it. They then make their own paths to the future. Xerox often was shocked at the PARC process and declared it out of control, but they didn’t understand that the context was so powerful and compelling and the good will so abundant, that the artists worked happily at their version of the vision. The results were an enormous collection of breakthroughs.

‘Our game is more like art and sports than accounting, in that high percentages of failure are quite OK as long as enough larger processes succeed… [I]n most processes today — and sadly in most important areas of technology research — the administrators seem to prefer to be completely in control of mediocre processes to being “out of control” with superproductive processes. They are trying to “avoid failure” rather than trying to “capture the heavens”.

‘All of these principles came together a little over 30 years ago to eventually give rise to 1500 Altos, Ethernetworked to: each other, Laserprinters, file servers and the ARPAnet, distributed to many kinds of end-users to be heavily used in real situations. This anticipated the commercial availability of this genre by 10-15 years. The best way to predict the future is to invent it.

‘[W]e should realize that many of the most important ARPA/PARC ideas haven’t yet been adopted by the mainstream. For example, it is amazing to me that most of Doug Engelbart’s big ideas about “augmenting the collective intelligence of groups working together” have still not taken hold in commercial systems. What looked like a real revolution twice for end-users, first with spreadsheets and then with Hypercard, didn’t evolve into what will be commonplace 25 years from now, even though it could have. Most things done by most people today are still “automating paper, records and film” rather than “simulating the future”. More discouraging is that most computing is still aimed at adults in business, and that aimed at nonbusiness and children is mainly for entertainment and apes the worst of television. We see almost no use in education of what is great and unique about computer modeling and computer thinking. These are not technological problems but a lack of perspective. Must we hope that the open-source software movements will put things right?

‘The ARPA/PARC history shows that a combination of vision, a modest amount of funding, with a felicitous context and process can almost magically give rise to new technologies that not only amplify civilization, but also produce tremendous wealth for the society. Isn’t it time to do this again by Reason, even with no Cold War to use as an excuse? How about helping children of the world grow up to think much better than most adults do today? This would truly create “The Power of the Context”.’

Note how this story runs contrary to how free market think tanks and pundits describe technological development. The impetus for most of this development came from government funding, not markets.

Also note that every attempt since the 1950s to copy ARPA and JASON (the semi-classified group that partly gave ARPA its direction) in the UK has been blocked by Whitehall. The latest attempt was in 2014 when the Cabinet Office swatted aside the idea. Hilariously its argument was ‘DARPA has had a lot of failures’ thus demonstrating extreme ignorance about the basic idea — the whole point is you must have failures and if you don’t have lots of failures then you are failing!

People later claimed that while PARC may have changed the world it never made any money for XEROX. This is ‘absolute bullshit’ (Kay). It made billions from the laser printer alone and overall Xerox made 250 times what they invested in PARC before they went bust. In 1983 they fired Bob Taylor, the manager of PARC and the guy who made it all happen.

‘They hated [Taylor] for the very reason that most companies hate people who are doing something different, because it makes middle and upper management extremely uncomfortable. The last thing they want to do is make trillions, they want to make a few millions in a comfortable way’ (Kay).

Someone finally listened to Kay recently. ‘YC Research’, the research arm of the world’s most successful (by far) technology incubator, is starting to fund people in this way. I am not aware of any similar UK projects though I know that a small network of people are thinking again about how something like this could be done here. If you can help them, take a risk and help them! Someone talk to science minister Jo Johnson but be prepared for the Treasury’s usual ignorant bullshit — ‘what are we buying for our money, and how can we put in place appropriate oversight and compliance?’ they will say!

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As we ponder the future of the UK-EU relationship shaped amid the farce of modern Whitehall, we should think hard about the ARPA/PARC example: how a small group of people can make a huge breakthrough with little money but the right structure, the right ways of thinking, and the right motives.

Those of us outside the political system thinking ‘we know we can do so much better than this but HOW can we break through the bullshit?’ need to change our perspective and gain 80 IQ points.

This real picture is a metaphor for the political culture: ad hoc solutions that are either bad or don’t scale.

Screenshot 2017-06-14 16.58.14.png

ARPA said ‘Let’s get rid of all the wires’. How do we ‘get rid of all the wires’ and build something different that breaks open the closed and failing political cultures? Winning the referendum was just one step that helps clear away dead wood but we now need to build new things.

The ARPA vision that aligned the artists ‘like little iron filings’ was:

‘Computers are destined to become interactive intellectual amplifiers for everyone in the world universally networked worldwide’ (Licklider).

We need a motivating vision aimed not at tomorrow but at changing the basic wiring of  the whole system, a vision that can align ‘the little iron filings’, and then start building for the long-term.

I will go into what I think this vision could be and how to do it another day. I think it is possible to create something new that could scale very fast and enable us to do politics and government extremely differently, as different to today as the internet and PC were to the post-war mainframes. This would enable us to build huge long-term value for humanity in a relatively short time (less than 20 years). To create it we need a process as well suited to the goal as the ARPA/PARC project was and incorporating many of its principles.

We must try to escape the current system with its periodic meltdowns and international crises. These crises move 500-1,000 times faster than that of summer 1914. Our destructive potential is at least a million-fold greater than it was in 1914. Yet we have essentially the same hierarchical command-and-control decision-making systems in place now that could not even cope with 1914 technology and pace. We have dodged nuclear wars by fluke because individuals made snap judgements in minutes. Nobody who reads the history of these episodes can think that this is viable long-term, and we will soon have another wave of innovation to worry about with autonomous robots and genetic engineering. Technology gives us no option but to try to overcome evolved instincts like destroying out-group competitors.

Watch Alan Kay explain how to invent the future HERE and HERE.

This link has these seminal papers:

  • Man-Computer Symbiosis, Licklider (1960)
  • The computer as a communications device, Licklider & Taylor (1968)

Part I of this series is HERE.

Part II on the emergence of ‘systems management’, how George Mueller used it to put man on the moon, and a checklist of how successful management of complex projects is systematically different to how Whitehall (and other state bureaucracies) work HERE.


Ps. Kay also points out that the real computer revolution won’t happen until people fulfil the original vision of enabling children to use this powerful way of thinking:

‘The real printing revolution was a qualitative change in thought and argument that lagged the hardware inventions by almost two centuries. The special quality of computers is their ability to rapidly simulate arbitrary descriptions, and the real computer revolution won’t happen until children can learn to read, write, argue and think in this powerful new way. We should all try to make this happen much sooner than 200 or even 20 more years!’

Almost nobody in education policy is aware of the educational context for the ARPA/PARC project which also speaks volumes about the abysmal field of ‘education research/policy’. People rightly say ‘education tech has largely failed’ but very few are aware that many of the original ideas from Licklider, Engelbart et al have never been tried and the Apple and MS versions are not the original vision.

 

Unrecognised simplicities of effective action #1: expertise and a quadrillion dollar business

‘The combination of physics and politics could render the surface of the earth uninhabitable.’ John von Neumann.

Introduction

This series of blogs considers:

  • the difference between fields with genuine expertise, such as fighting and physics, and fields dominated by bogus expertise, such as politics and economic forecasting;
  • the big big problem we face – the world is ‘undersized and underorganised’ because of a collision between four forces: 1) our technological civilisation is inherently fragile and vulnerable to shocks, 2) the knowledge it generates is inherently dangerous, 3) our evolved instincts predispose us to aggression and misunderstanding, and 4) there is a profound mismatch between the scale and speed of destruction our knowledge can cause and the quality of individual and institutional decision-making in ‘mission critical’ institutions – our institutions are similar to those that failed so spectacularly in summer 1914 yet they face crises moving at least ~103 times faster and involving ~106 times more destructive power able to kill ~1010 people;
  • what classic texts and case studies suggest about the unrecognised simplicities of effective action to improve the selection, education, training, and management of vital decision-makers to improve dramatically, reliably, and quantifiably the quality of individual and institutional decisions (particularly 1) the ability to make accurate predictions and b) the quality of feedback);
  • how we can change incentives to aim a much bigger fraction of the most able people at the most important problems;
  • what tools and technologies can help decision-makers cope with complexity.

[I’ve tweaked a couple of things in response to this blog by physicist Steve Hsu.]

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Summary of the big big problem

The investor Peter Thiel (founder of PayPal and Palantir, early investor in Facebook) asks people in job interviews: what billion (109) dollar business is nobody building? The most successful investor in world history, Warren Buffett, illustrated what a quadrillion (1015) dollar business might look like in his 50th anniversary letter to Berkshire Hathaway investors.

‘There is, however, one clear, present and enduring danger to Berkshire against which Charlie and I are powerless. That threat to Berkshire is also the major threat our citizenry faces: a “successful” … cyber, biological, nuclear or chemical attack on the United States… The probability of such mass destruction in any given year is likely very small… Nevertheless, what’s a small probability in a short period approaches certainty in the longer run. (If there is only one chance in thirty of an event occurring in a given year, the likelihood of it occurring at least once in a century is 96.6%.) The added bad news is that there will forever be people and organizations and perhaps even nations that would like to inflict maximum damage on our country. Their means of doing so have increased exponentially during my lifetime. “Innovation” has its dark side.

‘There is no way for American corporations or their investors to shed this risk. If an event occurs in the U.S. that leads to mass devastation, the value of all equity investments will almost certainly be decimated.

‘No one knows what “the day after” will look like. I think, however, that Einstein’s 1949 appraisal remains apt: “I know not with what weapons World War III will be fought, but World War IV will be fought with sticks and stones.”’

Politics is profoundly nonlinear. (I have written a series of blogs about complexity and prediction HERE which are useful background for those interested.) Changing the course of European history via the referendum only involved about 10 crucial people controlling ~£107  while its effects over ten years could be on the scale of ~108 – 10people and ~£1012: like many episodes in history the resources put into it are extremely nonlinear in relation to the potential branching histories it creates. Errors dealing with Germany in 1914 and 1939 were costly on the scale of ~100,000,000 (108) lives. If we carry on with normal human history – that is, international relations defined as out-groups competing violently – and combine this with modern technology then it is extremely likely that we will have a disaster on the scale of billions (109) or even all humans (~1010). The ultimate disaster would kill about 100 times more people than our failure with Germany. Our destructive power is already much more than 100 times greater than it was then: nuclear weapons increased destructiveness by roughly a factor of a million.

Even if we dodge this particular bullet there are many others lurking. New genetic engineering techniques such as CRISPR allow radical possibilities for re-engineering organisms including humans in ways thought of as science fiction only a decade ago. We will soon be able to remake human nature itself. CRISPR-enabled ‘gene drives’ enable us to make changes to the germ-line of organisms permanent such that changes spread through the entire wild population, including making species extinct on demand. Unlike nuclear weapons such technologies are not complex, expensive, and able to be kept secret for a long time. The world’s leading experts predict that people will be making them cheaply at home soon – perhaps they already are. These developments have been driven by exponential progress much faster than Moore’s Law reducing the cost of DNA sequencing per genome from ~$108 to ~$10in roughly 15 years.

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It is already practically possible to deploy a cheap, autonomous, and anonymous drone with facial-recognition software and a one gram shaped-charge to identify a relevant face and blow it up. Military logic is driving autonomy. For example, 1) the explosion in the volume of drone surveillance video (from 71 hours in 2004 to 300,000 hours in 2011 to millions of hours now) requires automated analysis, and 2) jamming and spoofing of drones strongly incentivise a push for autonomy. It is unlikely that promises to ‘keep humans in the loop’ will be kept. It is likely that state and non-state actors will deploy low-cost drone swarms using machine learning to automate the ‘find-fix-finish’ cycle now controlled by humans. (See HERE for a video just released for one such program and imagine the capability when they carry their own communication and logistics network with them.)

In the medium-term, many billions are being spent on finding the secrets of general intelligence. We know this secret is encoded somewhere in the roughly 125 million ‘bits’ of information that is the rough difference between the genome that produces the human brain and the genome that produces the chimp brain. This search space is remarkably small – the equivalent of just 25 million English words or 30 copies of the King James Bible. There is no fundamental barrier to decoding this information and it is possible that the ultimate secret could be described relatively simply (cf. this great essay by physicist Michael Nielsen). One of the world’s leading experts has told me they think a large proportion of this problem could be solved in about a decade with a few tens of billions and something like an Apollo programme level of determination.

Not only is our destructive and disruptive power still getting bigger quickly – it is also getting cheaper and faster every year. The change in speed adds another dimension to the problem. In the period between the Archduke’s murder and the outbreak of World War I a month later it is striking how general failures of individuals and institutions were compounded by the way in which events moved much faster than the ‘mission critical’ institutions could cope with such that soon everyone was behind the pace, telegrams were read in the wrong order and so on. The crisis leading to World War I was about 30 days from the assassination to the start of general war – about 700 hours. The timescale for deciding what to do between receiving a warning of nuclear missile launch and deciding to launch yourself is less than half an hour and the President’s decision time is less than this, maybe just minutes. This is a speedup factor of at least 103.

Economic crises already occur far faster than human brains can cope with. The financial system has made a transition from people shouting at each other to a a system dominated by high frequency ‘algorithmic trading’ (HFT), i.e. machine intelligence applied to robot trading with vast volumes traded on a global spatial scale and a microsecond (10-6) temporal scale far beyond the monitoring, understanding, or control of regulators and politicians. There is even competition for computer trading bases in specific locations based on calculations of Special Relativity as the speed of light becomes a factor in minimising trade delays (cf. Relativistic statistical arbitrage, Wissner-Gross). ‘The Flash Crash’ of 9 May 2010 saw the Dow lose hundreds of points in minutes. Mini ‘flash crashes’ now blow up and die out faster than humans can notice. Given our institutions cannot cope with economic decisions made at ‘human speed’, a fortiori they cannot cope with decisions made at ‘robot speed’. There is scope for worse disasters than 2008 which would further damage the moral credibility of decentralised markets and provide huge chances for extremist political entrepreneurs to exploit. (* See endnote.)

What about the individuals and institutions that are supposed to cope with all this?

Our brains have not evolved much in thousands of years and are subject to all sorts of constraints including evolved heuristics that lead to misunderstanding, delusion, and violence particularly under pressure. There is a terrible mismatch between the sort of people that routinely dominate mission critical political institutions and the sort of people we need: high-ish IQ (we need more people >145 (+3SD) while almost everybody important is between 115-130 (+1 or 2SD)), a robust toolkit for not fooling yourself including quantitative problem-solving (almost totally absent at the apex of relevant institutions), determination, management skills, relevant experience, and ethics. While our ancestor chiefs at least had some intuitive feel for important variables like agriculture and cavalry our contemporary chiefs (and those in the media responsible for scrutiny of decisions) generally do not understand their equivalents, and are often less experienced in managing complex organisations than their predecessors.

The national institutions we have to deal with such crises are pretty similar to those that failed so spectacularly in summer 1914 yet they face crises moving at least ~103 times faster and involving ~106 times more destructive power able to kill ~1010 people. The international institutions developed post-1945 (UN, EU etc) contribute little to solving the biggest problems and in many ways make them worse. These institutions fail constantly and do not  – cannot – learn much.

If we keep having crises like we have experienced over the past century then this combination of problems pushes the probability of catastrophe towards ‘overwhelmingly likely’.

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What Is To be Done? There’s plenty of room at the top

‘In a knowledge-rich world, progress does not lie in the direction of reading information faster, writing it faster, and storing more of it. Progress lies in the direction of extracting and exploiting the patterns of the world… And that progress will depend on … our ability to devise better and more powerful thinking programs for man and machine.’ Herbert Simon, Designing Organizations for an Information-rich World, 1969.

‘Fascinating that the same problems recur time after time, in almost every program, and that the management of the program, whether it happened to be government or industry, continues to avoid reality.’ George Mueller, pioneer of ‘systems engineering’ and ‘systems management’ and the man most responsible for the success of the 1969 moon landing.

Somehow the world has to make a series of extremely traumatic and dangerous transitions over the next 20 years. The main transition needed is:

Embed reliably the unrecognised simplicities of high performance teams (HPTs), including personnel selection and training, in ‘mission critical’ institutions while simultaneously developing a focused project that radically improves the prospects for international cooperation and new forms of political organisation beyond competing nation states.

Big progress on this problem would automatically and for free bring big progress on other big problems. It could improve (even save) billions of lives and save a quadrillion dollars (~$1015). If we avoid disasters then the error-correcting institutions of markets and science will, patchily, spread peace, prosperity, and learning. We will make big improvements with public services and other aspects of ‘normal’ government. We will have a healthier political culture in which representative institutions, markets serving the public (not looters), and international cooperation are stronger.

Can a big jump in performance – ‘better and more powerful thinking programs for man and machine’ – somehow be systematised?

Feynman once gave a talk titled ‘There’s plenty of room at the bottom’ about the huge performance improvements possible if we could learn to do engineering at the atomic scale – what is now called nanotechnology. There is also ‘plenty of room at the top’ of political structures for huge improvements in performance. As I explained recently, the victory of the Leave campaign owed more to the fundamental dysfunction of the British Establishment than it did to any brilliance from Vote Leave. Despite having the support of practically every force with power and money in the world (including the main broadcasters) and controlling the timing and legal regulation of the referendum, they blew it. This was good if you support Leave but just how easily the whole system could be taken down should be frightening for everybody .

Creating high performance teams is obviously hard but in what ways is it really hard? It is not hard in the same sense that some things are hard like discovering profound new mathematical knowledge. HPTs do not require profound new knowledge. We have been able to read the basic lessons in classics for over two thousand years. We can see relevant examples all around us of individuals and teams showing huge gains in effectiveness.

The real obstacle is not financial. The financial resources needed are remarkably low and the return on small investments could be incalculably vast. We could significantly improve the decisions of the most powerful 100 people in the UK or the world for less than a million dollars (~£106) and a decade-long project on a scale of just ~£107 could have dramatic effects.

The real obstacle is not a huge task of public persuasion – quite the opposite. A government that tried in a disciplined way to do this would attract huge public support. (I’ve polled some ideas and am confident about this.) Political parties are locked in a game that in trying to win in conventional ways leads to the public despising them. Ironically if a party (established or new) forgets this game and makes the public the target of extreme intelligent focus then it would not only make the world better but would trounce their opponents.

The real obstacle is not a need for breakthrough technologies though technology could help. As Colonel Boyd used to shout, ‘People, ideas, machines – in that order!’

The real obstacle is that although we can all learn and study HPTs it is extremely hard to put this learning to practical use and sustain it against all the forces of entropy that constantly operate to degrade high performance once the original people have gone. HPTs are episodic. They seem to come out of nowhere, shock people, then vanish with the rare individuals. People write about them and many talk about learning from them but in fact almost nobody ever learns from them – apart, perhaps, from those very rare people who did not need to learn – and nobody has found a method to embed this learning reliably and systematically in institutions that can maintain it. The Prussian General Staff remained operationally brilliant but in other ways went badly wrong after the death of the elder Moltke. When George Mueller left NASA it reverted to what it had been before he arrived – management chaos. All the best companies quickly go downhill after the departure of people like Bill Gates – even when such very able people have tried very very hard to avoid exactly this problem.

Charlie Munger, half of the most successful investment team in world history, has a great phrase he uses to explain their success that gets to the heart of this problem:

‘There isn’t one novel thought in all of how Berkshire [Hathaway] is run. It’s all about … exploiting unrecognized simplicities… It’s a community of like-minded people, and that makes most decisions into no-brainers. Warren [Buffett] and I aren’t prodigies. We can’t play chess blindfolded or be concert pianists. But the results are prodigious, because we have a temperamental advantage that more than compensates for a lack of IQ points.’

The simplicities that bring high performance in general, not just in investing, are largely unrecognised because they conflict with many evolved instincts and are therefore psychologically very hard to implement. The principles of the Buffett-Munger success are clear – they have even gone to great pains to explain them and what the rest of us should do – and the results are clear yet still almost nobody really listens to them and above average intelligence people instead constantly put their money into active fund management that is proved to destroy wealth every year!

Most people think they are already implementing these lessons and usually strongly reject the idea that they are not. This means that just explaining things is very unlikely to work:

‘I’d say the history that Charlie [Munger] and I have had of persuading decent, intelligent people who we thought were doing unintelligent things to change their course of action has been poor.’ Buffett.

Even more worrying, it is extremely hard to take over organisations that are not run right and make them excellent.

‘We really don’t believe in buying into organisations to change them.’ Buffett.

If people won’t listen to the world’s most successful investor in history on his own subject, and even he finds it too hard to take over failing businesses and turn them around, how likely is it that politicians and officials incentivised to keep things as they are will listen to ideas about how to do things better? How likely is it that a team can take over broken government institutions and make them dramatically better in a way that outlasts the people who do it? Bureaucracies are extraordinarily resistant to learning. Even after the debacles of 9/11 and the Iraq War, costing many lives and trillions of dollars, and even after the 2008 Crash, the security and financial bureaucracies in America and Europe are essentially the same and operate on the same principles.

Buffett’s success is partly due to his discipline in sticking within what he and Munger call their ‘circle of competence’. Within this circle they have proved the wisdom of avoiding trying to persuade people to change their minds and avoiding trying to fix broken institutions.

This option is not available in politics. The Enlightenment and the scientific revolution give us no choice but to try to persuade people and try to fix or replace broken institutions. In general ‘it is better to undertake revolution than undergo it’. How might we go about it? What can people who do not have any significant power inside the system do? What international projects are most likely to spark the sort of big changes in attitude we urgently need?

This is the first of a series. I will keep it separate from the series on the EU referendum though it is connected in the sense that I spent a year on the referendum in the belief that winning it was a necessary though not sufficient condition for Britain to play a part in improving the quality of government dramatically and improving the probability of avoiding the disasters that will happen if politics follows a normal path. I intended to implement some of these ideas in Downing Street if the Boris-Gove team had not blown up. The more I study this issue the more confident I am that dramatic improvements are possible and the more pessimistic I am that they will happen soon enough.

Please leave comments and corrections…

* A new transatlantic cable recently opened for financial trading. Its cost? £300 million. Its advantage? It shaves 2.6 milliseconds off the latency of financial trades. Innovative groups are discussing the application of military laser technology, unmanned drones circling the earth acting as routers, and even the use of neutrino communication (because neutrinos can go straight through the earth just as zillions pass through your body every second without colliding with its atoms) – cf. this recent survey in Nature.

On the referendum #21: Branching histories of the 2016 referendum and ‘the frogs before the storm’

‘Politics is gambling for high stakes with other people’s money… Politics is a job that can be compared with navigation in uncharted waters. One has no idea how the weather or the currents will be or what storms one is in for. In politics, there is the added fact that one is largely dependent on the decisions of others, decisions on which one was counting and which then do not materialise; one’s actions are never completely one’s own. And if the friends on whose support one is relying change their minds, which is something that one cannot vouch for, the whole plan miscarries… One’s enemies one can count on – but one’s friends!’ Bismarck.

‘The most important thing is not to fool yourself and you are the easiest person to fool.’ Feynman. 

‘He lies like an eyewitness.’ Russian proverb.

In January 2014 I left the Department for Education and spent the next 18 months away from politics. A few days after the 2015 election I wrote a blog about Michael Gove’s new job touching on the referendum. When I wrote it I assumed I would carry on studying and would not be involved in it. About ten days later I was asked by an assortment of MPs, rich businessmen, and campaigners including Matthew Elliott to help put together an organisation that could fight the referendum. I was very reluctant and prevaricated but ended up agreeing. I left my happy life away from SW1 and spent eight weeks biking around London persuading people to take what was likely to be a car crash career decision – to quit their jobs and join a low probability proposition: hacking the political system to win a referendum against almost every force with power and money in politics. In September we had an office, in October ‘Vote Leave’ went public, in April we were designated the official campaign, 10 weeks later we won.

Why and how? The first draft of history was written in the days and weeks after the 23 June and the second draft has appeared over the past few weeks in the form of a handful of books. There is no competition between them. Shipman’s is by far the best and he is the only one to have spoken to key people. I will review it soon. One of his few errors is to give me the credit for things that were done by others, often people in their twenties like Oliver Lewis, Jonny Suart, and Cleo Watson who, unknown outside the office, made extreme efforts and ran rings around supposed ‘experts’. His book has encouraged people to exaggerate greatly my importance.

I have been urged by some of those who worked on the campaign to write about it. I have avoided it, and interviews, for a few reasons (though I had to write one blog to explain that with the formal closing of VL we had made the first online canvassing software that really works in the UK freely available HERE). For months I couldn’t face it. The idea of writing about the referendum made me feel sick. It still does but a bit less.

For about a year I worked on this project every day often for 18 hours and sometimes awake almost constantly. Most of the ‘debate’ was moronic as political debate always is. Many hours of life I’m never getting back were spent dealing with abysmal infighting among dysfunctional egomaniacs while trying to build a ~£10 million startup in 10 months when very few powerful people thought the probability of victory was worth the risk of helping us. (Two rare heroes who put up a lot of their own money and supported the team were Peter Cruddas and Stuart Wheeler.) Many of those involved regarded their TV appearances as by far the most important aspect of the campaign. Many regarded Vote Leave as ‘the real enemy’.

It is hard to explain the depth of TV derangement that gobbles up SW1 souls. Much of politics involves very similar tragi-comic scenes re-created by some of the basic atoms of human nature – fear, self-interest and vanity. The years, characters, and contexts change, the atoms shuffle, but the stories are the same year after year, century after century. Delusions and vanity dominate ‘rationality’ and ‘public service’. Progress, when it comes, is driven by the error-correcting institutions of science and markets when political institutions limit the damage done by decision makers at the apex of centralised hierarchies. It rarely comes from those people, and, when it does, it is usually accidental or incidental to their motives.

Discussions about things like ‘why did X win/lose?’ are structured to be misleading and I could not face trying to untangle everything. There are strong psychological pressures that lead people to create post facto stories that seem to add up to ‘I always said X and X happened.’ Even if people do not think this at the start they rapidly construct psychologically appealing stories that overwrite memories. Many involved with this extraordinary episode feel the need to justify themselves and this means a lot of rewriting of history. I also kept no diary so I have no clear source for what I really thought other than some notes here and there. I already know from talking to people that my lousy memory has conflated episodes, tried to impose patterns that did not actually exist and so on – all the usual psychological issues. To counter all this in detail would require going through big databases of emails, printouts of appointment diaries, notebooks and so on, and even then I would rarely be able to reconstruct reliably what I thought. Life’s too short.

I’ve learned over the years that ‘rational discussion’ accomplishes almost nothing in politics, particularly with people better educated than average. Most educated people are not set up to listen or change their minds about politics, however sensible they are in other fields. But I have also learned that when you say or write something, although it has roughly zero effect on powerful/prestigious people or the immediate course of any ‘debate’, you are throwing seeds into a wind and are often happily surprised. A few years ago I wrote something that was almost entirely ignored in SW1 but someone at Harvard I’d never met read it. This ended up having a decisive effect on the referendum.

A warning. Politics is not a field which meets the two basic criteria for true expertise (see below). An effect of this is that arguments made by people who win are taken too seriously. People in my position often see victory as confirmation of ideas they had before victory but people often win for reasons they never understand or even despite their own efforts. Cameron’s win in 2015 was like this – he fooled himself about some of the reasons why he’d won and this error contributed to his errors on the referendum. Maybe Leave won regardless of or even despite my ideas. Maybe I’m fooling myself like  Cameron. Some of my arguments below have as good an empirical support as is possible in politics (i.e. not very good objectively) but most of them do not even have that. Also, it is clear that almost nobody agrees with me about some of my general ideas. It is more likely that I am wrong than 99% of people who work in this field professionally. Still, cognitive diversity is inherently good for political analysis so I’ll say what I think and others will judge if there’s anything to learn.

Apologies for the length but I didn’t have time to make it shorter. The next ones will be short.

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Reality has branching histories, not ‘a big why’

Much political analysis revolves around competing simple stories based on one big factor such that, in retrospect, ‘it was always clear that immigration would trump economic interest / Cameron’s negotiation was never going to be enough / there is an unstoppable populist tide’, and so on. Alternatives are quickly thought to have been impossible (even if X argued the exact opposite repeatedly). The big event must have had an equally big single cause. Confirmation bias kicks in and evidence seeming to suggest that what actually happened would happen looms larger. People who are quite wrong quickly persuade themselves they were ‘mostly right’ and ‘had a strong feeling’ unlike, of course, the blind fools around them. Soon our actual history seems like the only way things could have played out. Brexit had to happen. Trump had to win.

You see these dynamics all the time in historical accounts. History tends to present the 1866 war between Prussia and Austria as almost inevitable but historians spend much less time on why Bismarck pulled back from war in 1865 and how he might have done the same in 1866 (actually he prepared the ground so he could do this and he kept the option open until the last minute). The same is true about 1870. When some generals tried to bounce him into a quick preventive war against Russia in the late 1880s he squashed them flat warning against tying the probability of a Great Power war to ‘the passions of sheep stealers’ in the Balkans (a lesson even more important today than then). If he had wanted a war, students would now be writing essays on why the Russo-German War of 1888 was ‘inevitable’. Many portray the war that broke out in August 1914 as ‘inevitable’ but many decisions in the preceding month could have derailed it, just as decisions derailed general war in previous Balkan crises. Few realise how lucky we were to avoid nuclear war during the Cuban Missile crisis (cf. Vasili Arkhipov) and other terrifying near-miss nuclear wars. The whole 20th Century history of two world wars and a nuclear Cold War might have been avoided if one of the assassination attempts on Bismarck had succeeded. If Cohen-Blind’s aim had been very slightly different in May 1866 when he fired five bullets at Bismarck, then the German states would certainly have evolved in a different way and it is quite plausible that there would have been no unified German army with its fearsome General Staff, no World War I, no Lenin and Hitler, and so on. The branching histories are forgotten and the actual branch taken, often because of some relatively trivial event casting a huge shadow (perhaps as small as a half-second delay by Cohen-Blind), seems overwhelmingly probable. This ought to, but does not, make us apply extreme intelligent focus to those areas that can go catastrophically wrong, like accidental nuclear war, to try to narrow the range of possible histories but instead most people in politics spend almost all their time on trivia.

We evolved to make sense of this nonlinear and unpredictable world with stories. These stories are often very powerful. On one hand the work of Kahneman et al on ‘irrationality’ has given an exaggerated impression. The fact that we did not evolve to think as natural Bayesians does not make us as ‘irrational’ as some argue. We evolved to avoid disasters where the probability of disaster X happening was unknowable but the outcome was fatal. Rationality is more than ‘Bayesian updating’. On the other hand our stories do often obscure the branching histories of reality and they remain the primary way in which history is told. The mathematical models that illuminate complex reality in the physical sciences do not help us much with history yet. Only recently has reliable data science begun to play an important role in politics.

Andrew Marr wrote recently about the referendum with a classic post facto ‘big event must be caused by one big factor’ story:

‘Connected to this is the big “why?”. I don’t think we voted to leave the EU because of clever tacticians or not-quite-clever-enough pollsters, or even because Johnson decided that one of his columns was better than another. I think we voted to leave because so many British people had been left behind economically and culturally for so long, and were furious about it; and because, from the 2008 financial crisis onwards, they had accumulated so much contempt for the political elites. In these circumstances any referendum narrows down to a single question: “Are you happy with the way things are?” The answer was “no”.’ Andrew Marr, October 2016.

‘The big why?’ is psychologically appealing but it is a mistake. In general terms it is the wrong way to look at history and it is specifically wrong about the referendum. If it were accurate we would have won by much more than we did given millions who were not ‘happy with the way things are’ and would like to be out of the EU reluctantly voted IN out of fear. Such stories oversimplify and limit thinking about the much richer reality of branching histories.

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Branching histories in 2016: three powerful forces, many possible campaigns

Sometimes the outcome of a vote is clear before a campaign starts such that it is reasonable to say ‘the campaign didn’t matter’ other than in the negative sense that, provided it avoids huge disasters, the twists and turns, the exact messages and adverts, thousands of decisions taken and so on very likely had no impact on the binary outcome. For example, Reagan’s re-election campaign in 1984 or Blair’s re-election campaign in 2001 were campaigns like this. Both won by so much and were clearly predicted by very large and historically very unusual poll leads well in advance. It is not plausible to say that the weeks of campaigning affected who won. At most the campaigns affected the scale of victory.

The referendum was not like this. Throughout the second half of 2015 and the beginning of 2016 the averages of polls – the only sensible way to look at polls – showed clear IN leads. All polls showed significant shifts towards Leave in the last five weeks (then a shift towards Remain at the end but this was at least partly because London-based pollsters changed their methodology thinking that they were making them more accurate – they fooled themselves). Polls tracking deeper attitudes that had been consistent for years suddenly changed in the last few months in ways that were significant given the close outcome. Recent claims that the polls ‘really’ showed Leave ahead all the time should be taken with very large pinches of salt given their dodgy statistical claims, charlatan authors like Matt Goodwin (who treats data dishonestly), and the inherent impossibility of discovering the truth of such a question.

One example from our private ICM polls (I will post the data tables for all these): Vote Leave asked people to choose between these options regularly to probe attitudes to the EU that are more informative than just the referendum question. The 11 point gain for ‘strong out’ is much bigger than the margin of error, is supported by other data, and is clearly significant.

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The cold reality of the referendum is no clear story, no ‘one big causal factor’, and no inevitability – it was ‘men going at it blind’. The result was an emergent property of many individual actions playing out amid a combination of three big forces (see below). Many of these actions were profoundly nonlinear and interdependent and the result that we actually witnessed was very close. If about 600,000 people – just over 1% of registered voters – had decided differently, IN would have won. This is a small enough margin that it could easily have happened if quite a few specific events and decisions had turned out differently. If just one person had behaved differently the dominant story now would be ‘the economy was always going to trump a revolt against the elites, the status quo and “the economy stupid” always win’ – which is what the overwhelming majority of pundits said before 23 June and in some cases had drafted for their columns after the vote.

For example, if Michael Gove had stayed out of the campaign then Vote Leave would almost certainly have either collapsed (which it nearly did anyway) or been forced into fighting the campaign on a losing message like ‘Go Global’, a firm favourite for many years among a subset of MPs and Farage’s inner circle (Leave.EU adopted this as its first slogan) and a total loser with the public. (Therefore another counterfactual: why did Cameron and Osborne not try very hard to get a clear commitment from Gove that all he would do is issue a statement but would carry on with his day job and would not campaign? I hope he would have refused but it was worth a shot and they didn’t try very hard.)

Without Boris, Farage would have been a much more prominent face on TV during the crucial final weeks, probably the most prominent face. (We had to use Boris as leverage with the BBC to keep Farage off and even then they nearly screwed us as ITV did.) It is extremely plausible that this would have lost us over 600,000 vital middle class votes.

Without Victoria Woodcock, an absolutely phenomenal manager and by far the single most important person in the management of Vote Leave (and who would have been running Downing Street now but for the Gove-Boris debacle – more branching histories), we would not have been able to build anything like the structure we did and this could easily have cost us the winning margin of votes.

Anybody who says ‘I always knew X would win’ is fooling themselves. What actually happened was one of many branching histories and in many other branches of this network – branches that almost happened and still seem almost real to me – we lost.

Problems with Vote Leave

This is not a claim that ‘we won because of the Vote Leave campaign’. Our campaign failed to do much that we should have done. There were powerful connections between:

  • infighting over who appeared on broadcast and strategy,
  • the lack of resources (many kept clear because of the infighting and many used infighting as an excuse to keep clear of something they thought was doomed),
  • the extreme difficulty of finding a governance system that could work,
  • four crucial posts held by the wrong people (including the disastrous John Mills as first Chairman),
  • the fundamental structure of how the media works (see below),
  • the extreme difficulty of getting prominent people to say on TV what research showed was necessary to win, and
  • the lack of anything resembling a well-organised mass movement.

Despite many years to prepare, the eurosceptic community had built remarkably little to prepare for the battle. On the ground were many small ineffective and often warring little groups and essentially no serious machinery (though Business for Britain had begun to build a business network). All this had to be built almost entirely from scratch in an environment in which many of those in charge of the small groups were sure we would lose, were less interested in winning than they were in ‘preserving our group’s identity Dominic’, and were keen to get their hands on cash being handed out by Leave.EU on condition that they not contribute to the campaign with Vote Leave. At various points UKIP HQ sent out emails to UKIP activists telling them not to work with Vote Leave and some senior activists were told by Farage’s gang that they would lose their UKIP jobs if they helped our ground campaign (luckily most of those out on the ground ignored these instructions but they were disruptive).

The office implemented the winning message in ~125 million leaflets and nearly a billion targeted digital adverts regardless of all complaints. We recruited more active volunteers (~12,000) in 10 months than UKIP in 25 years (~7,000 according to Farage). Our GOTV effort targeted crucial voters identified by traditional polling, a new type of experimental polling, the ground campaign, and the social media campaign, all overseen by the data science team. But until the last 4-5 weeks we had a big problem getting those going on TV to give the same message. The office could only do so much. If Boris, Gove, and Gisela had not supported us and picked up the baseball bat marked ‘Turkey/NHS/£350 million’ with five weeks to go, then 650,000 votes might have been lost. In the awful weekly campaign committee meetings, there were constant complaints and arguments for variations on ‘Go Global’ (until all the polls swung our way and people remembered ‘I’ve always said stick with 350 million’.) The Big Three knocked this back despite great pressure.

Some people had spent a quarter of a century talking about things that appealed to about 10% of the population and they would not pay attention to what millions of normal people actually knew and thought (‘I’ve spent years trying to ignore the NHS in elections Dominic and I’m not going to change now’ said many like Peter Bone). Media planning was extremely hard. Paul Stephenson’s media team of half a dozen, massively outnumbered by hundreds of officials, did a fantastic job but we could have done so much more if more MPs had been more determined and more supportive.

It should be remembered that the net effect of Conservative MPs was strongly supportive of IN. We won despite the net effort of Conservative Party MPs, not because of them, though the support from a small fraction was vital. Although Leave voters were more enthusiastic and determined than Remain voters, Cameron and Osborne were more focused on winning than most Leave MPs were. (Almost all Labour MPs seemed to be in a parallel universe until they got intelligence from their constituencies about postal votes after which they panicked ineffectually.)

Most of the MPs we dealt with were not highly motivated to win and lacked extreme focus, even those who had been boring everybody about this for decades. They sort of wanted to win but they had other priorities. They were very happy having dinner parties and gossiping. They were very happy coming to meetings with people they thought were important. This wasted enormous amounts of time as we had to create a string of Potemkin committees for people to attend while the core team actually did the campaign, then reinvent them as people became convinced that there were other secret meetings that they were being excluded from. They were very happy to be on the Today Programme. But they didn’t want to win that much. Not enough to work weekends. Not enough to stop having all their usual skiing holidays and winter beach holidays. Not enough to get out on the streets day after day.  Not enough to miss a great shooting weekend. Not enough, most of them, to risk annoying a Prime Minister who they thought would still control their next job after 23 June.

This lack of motivation is connected to another important psychology – the willingness to fail conventionally. Most people in politics are, whether they know it or not, much more comfortable with failing conventionally than risking the social stigma of behaving unconventionally. They did not mind losing so much as being embarrassed, as standing out from the crowd. (The same phenomenon explains why the vast majority of active fund management destroys wealth and nobody learns from this fact repeated every year.)

Our core campaign team were not like this. They sacrificed weekends, holidays, and family events. They worked like dogs week in week out for little money often treated with appalling rudeness by people calling from their beach loungers (Boris, Gisela and Gove were three notable exceptions and all three were liked by junior staff partly because of their good, therefore rare, manners). We were happy to risk looking stupid to win. We knew that almost nobody in SW1 understood or agreed with what we were doing. We also knew we had more chance of winning if we did not explain a lot of it – most importantly the entire digital and data science element which (combined with the ground campaign and GOTV) gave us a chance to exploit strong network effects  (and which we hid from the Board and MPs, see HERE).

Example… We were urged by everyone to hire a big advertising agency and do traditional posters. ‘When can we discuss our posters?’ I was asked constantly by people who would then try to explain to me their creative ideas (‘we need another Labour Isn’t Working, Dominic, I’ve got an idea for a picture of the globe and arrows…’). One of the few reliable things we know about advertising amid the all-pervasive charlatanry is that, unsurprisingly, adverts are more effective the closer to the decision moment they hit the brain. Instead of spending a fortune on an expensive agency (with 15% going to them out of ‘controlled expenditure’) and putting up posters to be ‘part of the national conversation’ weeks or months before the vote, we decided to 1) hire extremely smart physicists to consider everything from first principles, 2) put almost all our money into digital (~98%), 3) hold the vast majority of our budget back and drop it all right at the end with money spent on those adverts that experiments had shown were most effective (internal code name ‘Waterloo’). When things are digital you can be more empirical and control the timing. The world of advertising agencies and PR companies were sure we had screwed up because they did not see what we were doing. (Tim Bell told everybody we were doomed because we hadn’t hired one of his companies.) This points to another important issue – it is actually hard even for very competent and determined people to track digital communication accurately, and it is important that the political media is not set up to do this. There was not a single report anywhere (and very little curiosity) on how the official Leave campaign spent 98% of its marketing budget. There was a lot of coverage of a few tactical posters.

There were some MP heroes.

Example… Steve Baker often disagreed with me, sometimes very strongly, but he was a rare person in the campaign – an honest man. Not only did Steve win some important Parliamentary battles he also played a vital role during the attempted coup of 25 January. If he had thrown in his lot with the coup, it might have proved fatal. Instead he spoke honestly about the situation. We did not agree and we were both under pressure from a set of people who thought that ‘if they [HQ/MPs] control the campaign we will lose, we [HQ/MPs] must control it’. We came to an agreement that we both stuck to. With five weeks to go, there was an attempt to revive the coup by a couple of VL Board members working with players from the January coup like Malcolm Pearson. The demand was to replace the Big Three (Boris, Gisela, Gove) and the core campaign team with Farage, and replace £350 million / NHS with ‘go global’ trade babble. This didn’t get past the usual weekend boozy chats partly because of Steve Baker telling them he thought it a mad plan. This also shows how volatile the situation was right until the end and how few prominent eurosceptics even then understood that a) the £350 million / NHS argument was necessary to win and b) their ‘go global’ message was a total loser.

Other MPs also made significant personal sacrifices – backbenchers like Anne Marie Trevelyan and Graham Stringer, and ministers like George Eustice and Dominic Raab.

Rough balance of forces

The IN side started with huge structural advantages.

  1. IN started in 2015 well ahead in the polls and had the advantage of having the status quo on its side which is intrinsically easier to explain than change is, as lots of historical data around the world shows. Usually the ‘change’ campaign has to start considerably ahead in order to win as it loses support as the campaign goes on. This argument was even stronger with something so much bigger and more complex like the EU. VL had to persuade millions of people to risk a profound change. Those on the IN side made this point repeatedly for many months. They were right then. After 23 June many of them say the exact opposite – it’s so complex to explain all the wonders of the EU, they say, and so easy to argue for change. This is laughable.
  2. IN had the government at its heart including the Downing Street machine, the Cabinet Office, and Government departments and agencies all of which added up to thousands of people including hundreds of press officers. Cameron and Heywood also instructed Permanent Secretaries not to share EU material with Secretaries of State supporting Vote Leave in order that they did not have access to new information about all the ways in which EU law affected policy. (In general Whitehall has made great efforts to hide the scope of EU control. It also preserves, Potemkin-style, old processes like circulating Cabinet papers ‘for approval’ where the only acceptable response is ‘approve’ – it is not actually legally possible not to ‘approve’ but still the papers are sent round via the absurd red box system daily.) VL had a few dozen effective people and no access to the official machine other than some leaks. We had a research team of about five. MPs proved largely useless in helping this team.
  3. IN controlled one side of the renegotiation and its timing. VL was at the mercy of events and could not get any ministers supporting us until the process ended.
  4. IN controlled the timing of the referendum. VL had to plan resources on the basis of many scenarios.
  5. IN controlled the Cabinet and junior ministers – bribes for support and threats to deter. They had the chance to set the terms for how ministers engaged in the campaign (though they partly blew this). VL had to meet ministers in secret, could guarantee them no jobs, and (as was pointed out to me by many) could not dodge the basic truth that purely from a personal career perspective it was usually better to support the PM.
  6. IN controlled the governing party and the Parliamentary timetable and procedures. VL had to work with a small number of MPs many of whom had spent many years in constant opposition to their own leadership and were unused to any sort of discipline or collective action.
  7. IN set the legal rules. VL faced a huge imbalance in how these worked. For example, Cameron even during the official campaign could do huge events at places like the British Museum and the IN campaign did not have to account for such events as part of their £7 million. Meanwhile VL was told by the Electoral Commission that if people we did not even know put up huge signs that appeared on TV we might get billed for them. There were many other consequences of the imbalance. E.g. the Government’s legal timetable meant we had to commit before the official start of the campaign to a load of activity that would occur after the official start of the campaign without knowing if we would be the official campaign and therefore legally entitled to spend this money. We therefore had to choose between either a) not do various things, be sure we would not break the law, and lower the chances of winning or b) do the right thing for the campaign and riski being judged to have broken the law. Obviously we did (b) though we had to hide this choice from some of those on our Board as this was exactly the sort of thing some of them were very weak about.
  8. IN had access to huge resources – financial, personnel etc. IN had the support of almost every entity with power in Britain, Europe, and the world from the senior civil service to the CBI to the big investment banks, to Obama and the world bureaucracy (G20, UN, IMF etc).  Very few senior people were prepared to risk supporting us. Those who did mostly did so in a small way and on their own terms without getting involved in our campaign. While IN could send out name after name to deliver their message, we could depend on very few names who would deliver our message. The Government machine, the Commission, and the Cabinet Office were effective in scaring off prominent people from supporting us; many of them told us (some embarrassed) about the phone calls they’d had and their ‘duty to shareholders’ and so on. Advanced media planning was almost impossible and we had to shuffle things around at short notice constantly. IN had millions more than us before the campaign ever started and used this money for direct voter communication. We could not afford this. We sent out one 10 million voter mailing to people identified by the physicists just before the spending limits started and we could only do this by tricking some of those on our Board about the numbers. (I was also  helped by Peter Cruddas saying, ‘Don’t worry about the fundraising situation, don’t listen to everybody panicking, just do whatever it takes to do the campaign, if the money doesn’t come I guarantee I’ll put in whatever you need’. I knew I could trust him. This gave us vital flexibility and also meant we could ignore some of those on the Board who were more focused on whether they may be liable for a bill post-23/6 than they were on winning.)
  9. IN had the support of most journalists and senior management in the main broadcasters. The broadcasters let the Government set the agenda on TV for almost the entire campaign, apart from ten crucial days after the immigration numbers on 26 May. VL had the support of some powerful papers but we were overwhelmed on TV news. (Two broadcast journalists who were conspicuous by their unusual professionalism and determination to act fairly despite the behaviour of some of their management were Laura K and Allegra Stratton.)
  10. IN started with legal access to vast amounts of electoral data from at least three political parties, unofficial / illegal access to vast amounts of data from things like CCHQ data and the Crosby/Messina models built during the campaign, and vast amounts of commercial data. (CCHQ laughably claimed that there were ‘Chinese walls’ that prevented any abuse of Party data.) VL had none of these things. We could not even afford to buy standard commercial datasets (though the physicists found ingenious ways around this). We had no way even to acquire the electoral roll until the official process allowed us in early 2016, after which we had to wait a couple of months for LAs to fulfil their legal obligations to provide us with the data (which they did patchily and often late).
  11. IN had a great boost to its fortunes in the form of a network linking Nigel Farage, Aaron Banks, assorted peers (e.g. Malcolm Pearson), MPs (e.g. Bill Cash), businessmen (e.g. Richard Smith), and a handful of Vote Leave Board members (including the one-time Chairman John Mills) and some staff foisted on us (one of whom won the title of the most repellent person I’ve met in politics – Nigel Griffiths, an ex-MP who some female staff refused to be in the same room with). Farage put off millions of (middle class in particular) voters who wanted to leave the EU but who were very clear in market research that a major obstacle to voting Leave was ‘I don’t want to vote for Farage, I’m not like that’. He also put off many prominent business people from supporting us. Over and over they would say ‘I agree with you the EU is a disaster and we should get out but I just cannot be on the same side as a guy who makes comments about people with HIV’.

On 25 January 2016 a network of these characters launched a coup. But for the actions of Stephen Parkinson, Paul Stephenson,  and Victoria Woodcock (supported by most but not all of the office) it would have succeeded. This would have given control of the official campaign to the Farage crowd. They ran with vapid slogans like ‘Be in the know’. Ironically for a group of people who claim to be anti-SW1 they rehashed the classic losing SW1 eurosceptic trope for 25 years – ‘Go Global’ – showing how little they understood the electorate and mass communication. They rejected the connection between immigration, £350 million and the NHS, which was absolutely vital, as the IN side has said after 23 June (see below). They published dumb offensive videos. They talked about privatising the NHS. They built little grassroots organisation and their claims about social media were (and remain ) laughable. Farage himself admitted after 23 June that they did not have the organisation to run the campaign if they had won designation: ‘quite what we would have done if we had got it I’m not really sure!’, which sums them up (Shipman, Location 4,150). The media would have covered this gang’s official campaign as a version of their own book – a bunch of childish dodgy boozers on an ego trip.

Before the 2015 election Farage said to me at Stuart Wheeler’s that he knew he could not be the leading face of the campaign – ‘I’m one of the generals but I can’t lead the army’ he said, to my relief. When I next saw him in the summer, I was amazed at how his tune had changed, his obsession with the debates, and his pessimism. One can only understand some of the behaviour from those around Farage if you realise that much of their operation was about positioning Farage for what they assumed would be defeat.

One of the biggest problems during the campaign and biggest misconceptions after concerns this issue. Those who argued ‘we need one campaign’ were wrong. Those who argue now ‘we would have won by more if there’d been one campaign’ are wrong. One campaign would have meant total bedlam and 60-40 defeat.

If MPs had had extreme focus on winning then they would not have used Farage as leverage against us viz official designation and therefore much of the infighting could have been avoided as Farage would have done a sensible deal with us early, realising much earlier that we would not compromise over him running the campaign under any circumstances. By encouraging Farage to think that he could get a much more prominent position, people like Bill Cash nearly destroyed everything.

Given all these huge advantages, if their campaign had been of equal effectiveness to Vote Leave then, all else remaining equal, Cameron would almost certainly (>95% likely) have won.

Why did all these forces not add up to overwhelming and devastating firepower? If you want to understand the combination of things that gives us largely dysfunctional government and therefore undermined the IN campaign – a mix of selecting and promoting the wrong people, wrong education and training, bad incentives, anti-adaptive institutions and so on – then read this in which I explain in detail why Whitehall does not and cannot work properly.

The approximate truth

The closest approximation to the truth that we can get is that Leave won because of a combination of 1) three big, powerful forces with global impact: the immigration crisis, the financial crisis, and the euro crisis which created conditions in which the referendum could be competitive; 2) Vote Leave implemented some unrecognised simplicities in its operations that focused attention more effectively than the other side on a simple and psychologically compelling story, thus taking advantage of those three big forces; and 3) Cameron and Osborne operated with a flawed model of what constitutes effective political action and had bad judgement about key people (particularly his chief of staff and director of communications) therefore they made critical errors. Even if (1) and (2) had played out the same, I think that if that duo had made one of a few crucial decisions differently they would very likely have won.

When I started to research opinion in 2014-15 and compared it to my experience of the euro campaign (1999-2002), it was clear three forces had changed opinion on the EU.

1) The immigration crisis. 15 years of immigration and, recently, a few years of the migration crisis from the East and Africa, dramatically portrayed on TV and social media, had a big effect. In 2000, focus groups were already unhappy with immigration but did not regard it as a problem caused by the EU. By 2015, the EU was blamed substantially for the immigration/asylum crisis and this was entangled with years of news stories about ‘European courts’ limiting action against terrorists and criminals. Actually often these stories concerned the Strasbourg court of the ECHR (not the ECJ) though, ironically, the EU’s adoption of its Charter of Fundamental Rights meant that many issues concerning the ECHR became relevant to the EU debate, something that almost nobody in SW1 realised and we tried and largely failed to explain (one of the very few who did understand this was Boris’s wife, an accomplished lawyer, who I discussed this with in autumn 2015).

2) The 2008 financial crisis. This undermined confidence in Government, politicians, big business, banks, and almost any entity thought to be speaking for those with power and money. Contra many pundits, Miliband was right that the centre of gravity has swung against free markets. Even among the world of Thatcherite small businesses and entrepreneurs opinion is deeply hostile to the way in which banks and  public company executive pay work. Over and over again outside London people would rant about how they had not/barely recovered from this recession ‘while the politicians and bankers and businessmen in London all keep raking in the money and us mugs on PAYE are paying for the bailouts, now they’re saying we’ve just got to put up with the EU being crap or else we’ll be unemployed, I don’t buy it, they’ve been wrong about everything else…’ All those amazed at why so little attention was paid to ‘the experts’ did not, and still do not, appreciate that these ‘experts’ are seen by most people of all political views as having botched financial regulation, made a load of rubbish predictions, then forced everybody else outside London to pay for the mess while they got richer and dodged responsibility. They are right. This is exactly what happened.

Many Tory MPs and ‘free market’ pundits / think tankers are living in a fantasy world in which they want hostility to big business to end even though everybody can see that those who failed largely escaped responsibility and have even gone back to doing the same things. (I’ve argued since 2001 for big changes on executive pay to almost zero effect. SW1 is full of people who think they’re ‘defending markets’ but are actually defending the opposite – corporate looting. In the 1930s Britain put people in jail because of what happened in the 1920s. We should have done the same after 2008.)

3) The euro crisis. Britain joined the EEC because it was a basket case in the 1970s and ‘Europe’ was seen as a modernising force that could help us recover and improve the economy and living standards. As the euro crisis hit, millions saw Greece in chaos, even flames, for month after month. This undermined confidence in the EU as a modern successful force – ‘it’s so bad even Germany’s in trouble now because of the euro’, ‘not even Germany can afford to sort this out’, people would say.

Together these three big forces undermined confidence in the EU project as a modern force for progress that brings prosperity and solves problems and pushed it into about 30-35% of the population (younger, richer, better educated) which increasingly saw the EU in terms of ‘are you racist / supporter of Farage?’ This feeling was central in 1975. It diminished gradually but was still partly there 1999-2002 when I was doing focus groups on the euro. (It is why I had so many arguments at the time with eurosceptics explaining to them that if we accepted Blair’s framing of the euro debate as IN/OUT of the EU, we would lose. Our two slogans were therefore ‘Europe yes, euro no’ and ‘Keep the pound, keep control’.)

Second, they undermined confidence in those in charge. There had been strong anti-Westminster feelings growing for over a decade. In 2004 with James Frayne and my uncle I set up the campaign to fight the referendum on the North East Regional Assembly as a training exercise for an EU referendum (then envisaged after Blair’s 2005 victory). We came from behind and won 80-20 (not a misprint) despite having almost no money, no support, and the entire North East establishment against us because we exploited this feeling (‘politicians talk, we pay‘ was our slogan). SW1 ignored the result. It did not appreciate the scale of this growing force even after the financial crash and expenses scandal. Normal electoral politics and the structural grip of established political parties fooled insiders about the extent of support for people like Cameron. Cameron won negatively – because he was not Brown or Miliband. There was very little positive feeling for him. They fought the referendum with him and Osborne at the front as if they were fighting Brown or Miliband and asking people to make a choice: this is not how most people saw it.

These three big forces and the failure of the parties to cope, combined with the daily resentment of paying taxes for the bill of the 2008 Crash, meant that in a vote like 2016 where people did not have to vote to stop Brown or Miliband ‘stealing my money’, millions who were unpersuaded by Cameron/Osborne felt free to vote positively for something (‘take back control’) and against a duo they disliked, distrusted, and saw as representative of politicians’ failure over many years.

These three big forces had global impact and had much more effect on people who pay a normal amount of attention to politics than every speech, article, pamphlet and ‘campaign’ about the EU over 15 years, the sum total of which had almost no discernible effect.

Those who think I am exaggerating the relative lack of influence of conscious SW1 activity could consider another example – the Gove education reforms 2010-14 (which I was closely involved with). These reforms were one of the most prominent stories of the 2010-15 Government with thousands of stories and broadcast discussions. I researched public attitudes to these reforms after I resigned from government in January 2014 (contrary to widespread belief the Cameron operation spent very little time and resources before 2014 on researching public opinion, they were focused on the media rather than the public). Approximately nothing of our arguments  – including the years of speeches by Blair too – had got through to the public.The entire SW1 media debate had approximately no impact on public opinion. People had some idea of some changes if they had kids in school but knew almost nothing of the arguments. Consider how much more motivated people were to learn about this than they were about the EU. (Part of the reason is that the language that Cameron and SW1 generally used was about ‘choice, competition’ and so on. I was almost totally unsuccessful in persuading people to talk about the issue in a different way which is one of the reasons I spent so little time on communication and almost all my time on management in the DfE. Gove knew the problem but also knew that there was no chance of getting Cameron to do things differently.)

This is relevant to the immigration argument in particular. Many pundits who described themselves as ‘modernisers’ wrote columns over the years arguing that immigration was an issue because Cameron was making foolish promises about it and the media therefore paid more attention to it. This is wrong. Cameron’s foolish promises certainly made his situation worse but it is wrong to think that public interest in an issue is proportional to the attention paid by politicians and newspapers in SW1. The public only pays attention to a tiny subset of issues that politicians and the media bang on about. It is largely impossible to predict which things will catch fire and which will not, though process stories and ‘scandals’ almost always have zero effect and insiders repeatedly get this wrong. Long before there was any prominent media discussion of ‘the Australian points system’ you could hear it being discussed in focus group after focus group to an extent that was very surprising to me and was very surprising to every single person I discussed it with, including Farage (who adopted the policy because of focus groups, the causal chain was not – Farage talks >> focus groups respond).

Making these three forces even more powerful was the nature of the reaction from those in charge in the EU and Britain – a general failure not only to grip the problems but even to show that they understood what the problems were. There was clearly no sensible movement for reform of the EU. As it lurched from crisis to crisis, its only response was ‘the EU needs more power’ (this is, of course, the founding logic of the Monnet-Delors system). The British Government clearly had no sensible plan for dealing with the EU’s crises and dysfunction. Worse, their responses were often obviously rubbish, such as the ‘tens of thousands’ immigration promise that people could see had no chance of being met yet politicians just kept repeating it. People naturally concluded – these guys in London don’t grasp the seriousness of the problems, they haven’t a clue what to do, and are treating us like idiots. Cameron’s renegotiation did not change this view. The Government therefore entered the campaign in a very different state to Wilson in 1975.

These three forces meant that by summer 2015 only about a third of the electorate positively wanted to be inside the EU. Another third strongly wanted to leave and were not worried about the economy. Another fifth had roughly the view that – the EU is rubbish, I’d like to be outside, but I’m worried about the short-term effects on jobs and living standards so maybe I’ll vote IN (see the ICM table above). Further, our research showed that the strong Leave third was significantly more enthusiastic about the referendum than the strong Remain third and the swing fifth, and therefore more likely to vote.

Vote Leave exploited these forces

I will go into this in much more detail and I will ignore all management/operational issues here.

Our story rested on five simple foundations that came from listening very hard to what people really knew, thought, and said:

1. ‘Let’s take back control’. The overall theme. When I researched opinion on the euro the best slogan we could come up with was ‘keep control’. I therefore played with variations of this. A lot of people have given me a lot of credit for coming up with it but all I really did was listen. (NB. ‘back’ plays into a strong evolved instinct – we hate losing things, especially control.)

2. ‘The official bill of EU membership is £350 million per week – let’s spend our money on our priorities like the NHS instead.’ (Sometimes we said ‘we send the EU £350m’ to provoke people into argument. This worked much better than I thought it would. There is no single definitive figure because there are different sets of official figures but the Treasury gross figure is slightly more than £350m of which we get back roughly half, though some of this is spent in absurd ways like subsidies for very rich landowners to do stupid things.)

Pundits and MPs kept saying ‘why isn’t Leave arguing about the economy and living standards’. They did not realise that for millions of people, £350m/NHS was about the economy and living standards – that’s why it was so effective. It was clearly the most effective argument not only with the crucial swing fifth but with almost every demographic. Even with UKIP voters it was level-pegging with immigration. Would we have won without immigration? No. Would we have won without £350m/NHS? All our research and the close result strongly suggests No. Would we have won by spending our time talking about trade and the Single Market? No way (see below).

NB. Unlike most of those on our side the IN campaign realised the effectiveness of this, as Cooper, Coetze and others said after 23 June. E.g. ‘The power of their £350 million a week can’t be overstated.’ Andrew Cooper, director of strategy for the IN campaign.

Some people now claim this was cynical and we never intended to spend more on the NHS. Wrong. Boris and Gove were agreed and determined to do exactly this. On the morning of 24 June they both came into HQ. In the tiny ‘operations room’ amid beer cans, champagne bottles, and general bedlam I said to Boris – on day one of being PM you should immediately announce the extra £100 million per week for the NHS [the specific pledge we’d made] is starting today and more will be coming – you should start off by being unusual, a political who actually delivers what they promise. ‘Absolutely. ABSOLUTELY. We MUST do this, no question, we’ll park our tanks EVERYWHERE’ he said. Gove strongly agreed. If they had not blown up this would have happened. The opposite impression was created because many Tories who did not like us talking about the NHS reverted to type within seconds of victory and immediately distanced themselves from it and the winning campaign. Unlike Gove and Boris they did not learn from the campaign, they did not listen to the public. Until people trust that the NHS is a financial priority for Tories, they will have no moral authority to discuss management issues. This obvious fact is psychologically hard to absorb because of the strength of gang feelings in politics.

(There are already myths about some of these events. The press conference of 24 June is now written up as the two of them ‘terrified of what they had done’ but this is completely wrong. They were subdued partly because they were genuinely sad about Cameron and partly because they did not want to be seen as dancing on his grave. Some of the media created the psychologically compelling story that they were regretful / frightened about victory but this was not at all their mood in HQ on the morning of 24 June. Boris came in punching the air like Maradona after a great goal, hugging staff and clearly euphoric. It is completely wrong to portray him as regretful.)

3. ‘Vote Leave to take back control of immigration policy. If we stay there will be more new countries like Turkey joining and you won’t get a vote. Cameron says he wants to “pave the road” from Turkey to here. That’s dangerous. If we leave we can have democratic control and a system like Australia’s. It’s safer to take back control.’

I was surprised at what a shock it was to IN when we hit them with Turkey. By the time this happened they were in an almost impossible position. I wanted them to announce a veto. It would not have been believed and would have had the opposite effect – people would have taken the danger of Turkey joining more seriously. If your life depended on winning for IN, the answer is clear: they should have said long before the campaign started as part of the renegotiation process that they would veto any accession.

4. ‘The euro is a nightmare, the EU is failing, unemployment is a disaster, their debts and pensions are a disaster, if we stay YOU will be paying the bills. It’s safer to take back control and have a new relationship based on free trade and friendly cooperation instead of the European Court being in charge of everything…’ (This is not an official text, just a summary of the notion off the top of my head.)

5. Anti-Establishment. E.g. We aligned our campaign with those who were furious with executive pay / corporate looting (about 99% of the country). We aligned ourselves with the public who had been let down by the system.

Mandelson regarded this as ‘sheer nerve, sheer chutzpah’. It was obvious. The hard thing was sticking to it despite the sensibilities of many of our own supporters. One of the most effective TV performances of the campaign was the day Boris hit the theme of corporate looting in a market square. No10 were rightly panicked and in response pushed out Heseltine a few hours later to make a very personal attack on Boris. This made sense tactically but was a strategic error. All such personal attacks helped persuade Boris to up the ante. This was vital with a month to go when the immigration figures came out. Rudd and others argue that Cameron should have attacked Boris and others more. Wrong. They should have played it Zen publicly and had a much better black ops team.

Cameron/Osborne mistakes

I’ll go into this separately but just to give a few examples…

1. Cameron never had to offer the referendum in the first place. His sudden U-turn was a classic example of how his Downing Street operation lurched without serious thought in response to media pressure, not because of junior people but because of Cameron himself and his terrible choice of two main advisers (Llewellyn and Oliver). This happened many times and I wrote about all the damage it caused on other issues after I left government (HERE). This was the biggest example. It was a product of a deeper error – a combination of his failure of party management (misleading them about the best way to handle the party) and failure to understand how swing voters really think and therefore the dangers of a vote (see below).

2. If Cameron/Osborne had had a top notch person like David Plouffe running their campaign and they did as they were told then they would have won (>95% confidence), all else being equal. They were warned many times by their closest friends about Oliver and Llewellyn, including by Gove, but would not listen.

3. Their renegotiation was flawed from the start and badly undermined their central message. They compounded their errors in 2015 by accepting the pathetic deal in 2016.  If they had walked away in February then Vote Leave would quickly have imploded and the flying monkeys would have taken over the campaign.

4. They made themselves too prominent in the campaign and were too crude. Lacking a feel for psychology they gradually undermined their own message. Oliver thought Obama’s ‘back of the queue’ was brilliant. It was counterproductive. They thought ratcheting up the warnings to DEFCON 1 was effective. It was counterproductive.

5. They doubled down on ‘tens of thousands’. They thought they would lose credibility if they didn’t. The opposite was true. They should have dropped this in 2015 – for example, in an exclusive to the Independent on a Saturday in early August 2015 – and gone into the campaign without it. Every time they defended it they were helping us.

6. They suckered themselves into over-prioritising their coalition versus message. Blair’s campaign against us in the North East did the same. When you do this you lose focus and clarity which is usually fatal. The error was perhaps most visible the day Cameron unveiled an absurd poster that effectively listed all the ‘serious people’ on their side and – creative genius! – a blank page for us. A total waste of valuable time. The fact of being the Government meant the broadcasters let them lead the news almost all the time but they often wasted it like this. (I would bet that that ad was never put in focus groups or if it was the results were ignored.)

7. One of my basic criticisms of Cameron/Osborne from the start was the way they steered by pundit. During the 2015 election Crosby partly corrected this and they partly learned the lesson. But left to their own devices in the referendum when under pressure they defaulted to their instincts at a crucial moment. The reaction to the dreadful murder was an example of how the media and SW1 can live effectively in a parallel universe. Somehow they convinced themselves that this event might undo over a decade of growing hostility for those in power. They therefore tried to push the theme that actually MPs are great, ‘they are in it for good reasons’ and so on. The media led themselves into a dead end and No10, defaulting to their instincts of steering by pundit, followed. As soon as I saw Osborne and Matt Hancock wasting their time tweeting broken multicoloured hearts and encouraging #weloveourMP, I knew they had screwed their own OODA loop. We knew from focus groups (conducted by the brilliant Henry de Zoete who also played a crucial role in coordinating the digital and data science teams) that opinion outside London was extremely different to that of MPs and those in charge of most news. We went straight back to what we knew were the winning messages leaving Hancock and co to tweet broken hearts.

BUT BUT… Roland Rudd and others have attacked them for their basic strategy of focus on the economy and argue there should have been ‘a positive campaign for the EU’. WRONG. Cameron and Osborne were right about this big call. There was not enough time or money to change basic attitudes. As the campaign developed and there were signs of pressure from Rudd and others I crossed my fingers and hoped they would shift strategy. No10 were right to ignore him.

I suspect that in general big mistakes cause defeat much more often than excellent moves cause victory. There are some theoretical reasons to suspect this is true from recent statistical analysis of human and computer decisions in chess. Two results are particularly interesting. 1) The very best computers seem to make moves that preserve  the widest possible choices in the future, just as the most effective person in politics for whom we have good sources, Bismarck, operated always on the principle of ‘keep two irons in the fire’. (We tried to mimic this by adopting a message that we thought had the highest probability of  winning in the largest number of plausible branching futures, hence £350m/NHS.) 2) Even great humans are distinguishable from great computers by their propensity to make clear tactical errors occasionally amid the fog of war. This is significant enough that it wipes out the advantage of going first – i.e. it being ‘your move’ is seen as a plus but in fact it is a minus for humans because of the probability of a significant error, while for computers this effect is absent. (See Human and Computer Preferences at Chess, 2014. It would be very interesting to know if these results are supported by the recent success of Deep Mind with computer GO.)

Summary of the false dichotomy

False: ‘Leave won because of the campaign.’ E.g. Without 15 years of out of control immigration, our message of ‘take back control’ would not have had enough traction. Campaigns can ride big waves but they almost never make them.

False: ‘Leave won because of a big event [immigration, 2008 crash etc], the campaign was irrelevant.’ E.g. If the campaign had not deployed £350 million and the NHS (which almost nobody on our side liked), we would not have neutralised/overwhelmed Project Fear.

True: ‘Leave won because 1) three big forces created conditions in which the contest was competitive, AND 2) Vote Leave exploited the situation imperfectly but effectively, AND 3) Cameron/Osborne made big mistakes. If just one of these had been different, it is very likely IN would have won.’

Overall, the now-mocked conventional wisdom that ‘the status quo almost always wins in referendums like this’ obviously has a lot of truth to it and it only proved false this time because of a combination of events that was improbable.

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A ‘miracle’ to get 48%? Beaten by lies? Corbyn the AWOL saviour?

Since losing many inside the IN campaign now talk dejectedly as if they could never have won and tell rationalising fairy tales. They are wrong. They almost did win. Some have latched onto the idea that they were overwhelmed by an epic, global force of ‘right-wing populism’. Mandelson defends himself by saying  48% looks ‘like a miracle’ given the populist tide. Most have latched onto the idea that their ‘complex truth’ was overwhelmed by ‘simple lies’ and they are happy with their comforting ‘post-truth’ sobriquet – a delusion that leaves them very vulnerable to being shocked again. Many have even argued that they lost because they could not persuade Corbyn to make more speeches.

These stories are psychologically preferable to the idea that their own errors caused defeat (just as it is for some of those in Hilary’s campaign) but should not be taken seriously.

The least plausible claim is that Corbyn sabotaged what was otherwise a winning campaign. This is argued mainly by the same people (including Mandelson) who in a party context also argue that Corbyn is a joke who nobody takes seriously. The idea that more speeches by Corbyn would have persuaded vital swing voters has no good evidence. These people wanted to ‘take back control’. Corbyn’s message was – there should be not just more immigration but no limits on it. There are not many branching histories in which this is a winner.

This ‘epic global force’ of ‘populism’ was thought by the same people before 23 June to be puny in comparison with the force of the combined Establishment hammering a message of economic fear in support of the status quo. Having underestimated certain trends in public opinion the same people are now exaggerating them (see below).

This is connected to ‘complexity’. Month after month they argued (including to us in private discussions) that they would win largely because they had the advantage of the status quo – an advantage proved in votes around the world over many years. They were right. That was a big advantage. It is much simpler to argue for the status quo than for a very complex change – that is exactly why most ‘change’ referendums lose, just as they briefed the media. Now they say ‘The EU is very complex, it requires a lot of information to explain it’ (Craig Oliver). Their claim that actually they had the ‘complex’ argument to make against our ‘simple lies’ is laughable for exactly the reasons they gave themselves before they came unstuck.

Connected to this idea is that the great rationalists Cameron and Osborne – they of Project Fear and their comic ’emergency budget’ and in 2015 the pictures of Salmond picking pockets designed successfully to persuade the English that the Scots would steal their money – were undone by a great surge of ’emotion’. Osborne is taking this delusion so far he is writing a book titled ludicrously ‘The age of unreason’. When you lose and you blame it on millions of people being overtaken by ‘unreason’ – after previously winning by exploiting nationalist hostility – it’s a sure sign that you are the one not reasoning straight and able to face your errors. For the likes of Osborne it is ‘irrational’ to reject the views of people like him. For most of us, people like Osborne are not experts to be trusted – they are charlatans not to be taken seriously.

Many of those who blame defeat on ‘lies’, including Cameron, Osborne, and Clegg themselves told flat-out lies. One example will do. Cameron and Osborne claimed repeatedly on TV, almost always unchallenged, that their new deal meant ‘after six months if you haven’t got a job you have to leave’. This is not an argument over the fairness of using a gross/net figure, like ‘£350 million’, or even a properly bogus figure like the Treasury’s £4,000 per household figure. It is a different category of claim – a flat out 100% lie. (For more details see HERE.) How much time did TodayNewsnight, and the Guardian spend explaining to people that the PM and Chancellor were lying through their teeth? Approximately none. Why? Because very few of those complaining about lies really are cross about ‘lies’ – they are cross they lost and they are not so interested in discussing a lie that undermines the pro-EU campaign’s attempt to neutralise fear of immigration.

Further, many of the same people spent the entire campaign saying ‘Vote Leave has admitted a Leave vote means leaving the Single Market, this is what will happen make no mistake…’ and now say ‘the Single Market was not an issue, Vote Leave never had a policy on it and there is no mandate for leaving it’. Cameron, Osborne, Mandelson, Campbell and Clegg spent much of the last 20 years lying through their teeth to further their own interests and prestige. Now they whine about ‘lies’. They deserved worse than they got – and reasonable Remain-ers deserved better leadership.

Fools and knaves

Many of those who worked on the IN side are now wrongly attacked as fools by pundits who would have praised them as geniuses had they won, while many on the OUT campaign are wrongly praised.

Example… ‘If Remain wins Cameron ought to be hailed as the genius strategist of western democratic politics’ (Rentoul). Pundits who wrongly hailed Cameron as a genius after the 2015 election now wrongly describe him as a bumbling oaf. He was neither – he was the best of a bad bunch picked pseudo-randomly in a broken system and out of his depth. 600,000 votes either way does not make one set of people geniuses and another set of people morons. Geniuses in politics are rarer than in maths and physics and nobody involved in the referendum on either side is remotely close to one. Some of those who worked on the IN side were much more able than many on the winning side. It does not make sense to label people on the IN side idiots because of errors made by Cameron, Osborne, Llewellyn, and Oliver.

Example: many have said to me ‘you were so clever to hold back on immigration until the start of purdah’. Wrong. It is true that we did not do much on immigration before the 10 week official campaign. That is because, as I wrote in 2014, we did not need to. It was far more important to plant other seeds and recruit support that would have been put off if we had focused early on immigration. Immigration was a baseball bat that just needed picking up at the right time and in the right way. The right time was before purdah and we set in motion during January-April a series of things like the free referendum address with the right message but we could not persuade many prominent people to do what was needed until after 26 May. The right way was via the NHS (unifying) – not ‘we want our country back’ of Farage (divisive). The timing was not ‘a brilliant move’ by me, it was a combination of good luck and seizing a tactical chance to persuade people of something I’d failed to do for weeks, but such things get rewritten as such if you win.

It is also foolish to see the conflict in terms of who is ‘nicer’ and ‘nastier’. I don’t think the people on our side are nicer. There are lovely and loathsome people, liars and charlatans on both sides.

Many OUT-ers talk as if we were destined to win. Wrong. The IRA used to say ‘you have to get lucky every time but we only have to get lucky once’. For Leave to win a string of events had to happen many of which were independently improbable or 50-50 and therefore the combination was very improbable. The result was certainly not an inevitable outcome of ‘the great British public simply voting for democracy’ as some romantics delude themselves.

*

Oblonsky and the frogs before the thunderstorm: fashion, delusions of the educated, and the Single Market

‘I feel that, in some ways, this was a conflict between good forces in society and bad forces. I feel that the bad forces on 23 June won a very significant victory.’ Matthew Parris.

Matt Ridley: Matthew, you’re not saying that 17 million people are, deep down, racists? 

Matthew Parris: Yes. (Spectator, December 2016)

Why is almost all political analysis and discussion so depressing and fruitless? I think much has to do with the delusions of better educated people. It is easier to spread memes in SW1, N1, and among Guardian readers than in Easington Colliery.

Generally the better educated are more prone to irrational political opinions and political hysteria than the worse educated far from power. Why? In the field of political opinion they are more driven by fashion, a gang mentality, and the desire to pose about moral and political questions all of which exacerbate cognitive biases, encourage groupthink, and reduce accuracy. Those on average incomes are less likely to express political views to send signals; political views are much less important for signalling to one’s immediate in-group when you are on 20k a year. The former tend to see such questions in more general and abstract terms, and are more insulated from immediate worries about money. The latter tend to see such questions in more concrete and specific terms and ask ‘how does this affect me?’. The former live amid the emotional waves that ripple around powerful and tightly linked self-reinforcing networks. These waves rarely permeate the barrier around insiders and touch others.

These factors are deepened by the fact that almost all of those whose job it is to explain politics and campaigns have never been responsible for a complex organisation in general or a campaign in particular, so they are unsuited to understand how politics ripples out from decisions at the centre through dysfunctional bureaucracies to the ground. They almost always exaggerate the extent to which important decisions have been considered carefully by people who know what they are talking about. (The worse educated are actually often helped by their lack of education towards the truth.) They constantly discuss complex systems as though errors can be eradicated instead of asking how quickly errors are adapted to and learned from. This perspective biases them in favour of existing centralised systems that fail continually and against innovations with decentralised systems. They understand little about the challenges faced by small businesses and the lower middle classes.

The more closely involved people are in the media and politics the more they are driven by fashion and the feeling, rarely acknowledged and almost always rationalised, that ‘this is my gang’. Look at all those in SW1 who tweet attacks on Dacre to each other then retweet the praise from their friends, then look at those who attack them. Look at Robert Peston tweeting pictures of the London Eye and Habermas quotes on election night and his opponents ranting about ‘elites’. Both sides are just like football team fans defending their in-group and attacking their out-group enemies. The more they think of themselves as original the more likely they are to be conformist – and conformist within very narrow parameters.  We all fool ourselves but the more educated are particularly overconfident that they are not fooling themselves. They back their gang then fool themselves that they have reached their views by sensible, intelligent, reasoning.

This makes them particularly vulnerable to ‘influence operations’. It also makes them vulnerable to repeated errors about what the sort of people who ignore politics other than for a few weeks before voting time are thinking. It creates something of a paradox: it is almost impossible to get a good feel of public opinion, or of ‘the winning strategy’, by listening to those whose job it is to speculate about it. However often this happens, the lesson is never learned. It is very hard to see how it could change as it is so entangled with our evolved nature.

There is a wonderful passage in Anna Karenina that sums this up, much better than any ‘political scientist’ has done:

Oblonsky never chose his tendencies and opinions any more than he chose the style of his hat or coat. He always wore those which happened to be in fashion. Moving in a certain circle where a desire for some form of mental activity was part of maturity, he was obliged to hold views in the same way he was obliged to wear a hat. If he had a reason for preferring Liberalism to the Conservatism of many in his set, it was not that he considered the liberal outlook more rational but because it corresponded better with his mode of life… The Liberal Party said that marriage was an obsolete tradition which ought to be reformed, and indeed family life gave Oblonsky very little pleasure, forcing him to tell lies and dissemble, which was quite contrary to his nature. The Liberal Party said, or rather assumed, that religion was only a curb on the illiterate, and indeed Oblonsky could not stand through even the shortest church service without aching feet, or understand the point of all that dreadful high-flown talk about the other world when life in this world was really rather pleasant… Liberalism had become a habit with Oblonsky and he enjoyed his newspaper, as he did his after-dinner cigar, for the slight haze it produced in his brain.’

Towards the end of the novel, there is a discussion about the then big issue of Turkish atrocities and the rise of pan-Slavism. The old prince replies to the intellectuals who are talking rubbish about ‘the national feeling’ that they think is ‘sweeping the country’:

‘Yes, all the papers say the same thing. That’s true. So much the same that they are just like frogs before a storm! You can’t hear anything for their croaking.’

Many will reply, ‘Oblonsky is a dilettante, not a serious character, you can’t compare him with people like Robert Peston’. Oblonsky isn’t a dummy, he’s brighter than many of the posh duffers in his club. And also consider Anna’s husband, Karenin – a terrifying reminder that the ‘serious characters’ in politics are really no better than Oblonsky regarding fashion. In politics, just about all of us are some combination of Oblonsky and Karenin. If you think you aren’t, you’re probably fooling yourself. If you’re on TV a lot, you’re almost definitely fooling yourself.

There are many examples of how real Oblonskys, who control practically all important cultural institutions, think. They believed things about Stalin’s regime so outlandish that it is hard to appreciate now. They were more in favour of Britain joining the euro, not because they understood ‘the complexities’ better but because they were suckered into thinking about it as a moral test – are you on the side of the ‘baddies’ or the goodies’? As the BBC Europe editor said to me back then, in similar terms to Matthew Parris about the 2016 referendum, ‘the thing is Dominic, we like foreigners and cappuccinos and we hate racists’. Polls show that better educated people are less likely to have accurate views about the science of evolution and genetics (their desire to send moral signals suckers them into believing fairy tales).

The conformity of the educated is in some ways a good thing – most obviously, a basic consensus about things like not killing one’s domestic opponents that is extremely unusual historically. But it has many bad effects too. There is a collective lack of imagination which makes the system very susceptible to disastrous shocks. They share a narrow set of ideas about how the world works which mistakes their own view as the only possible sensible approach. They are aways writing about how ‘shocking’ things are to them – things that never were as low probability events as they imagine.  They can’t imagine something like Stalin deliberately creating a famine or deliberately murdering millions. They tell themselves that Hitler will be ‘more sensible in power’ and ‘engagement’ is the right path. Western liberals (like Clinton and many pro-euro campaigners) and conservatives (like Bush) talked of relations with Putin as if he is a normal western politician rather than an ex-KGB mafia overlord with views very far from western liberals. They tell each other ‘I can’t imagine President Trump, it just can’t happen’. Many conservatives are now telling themselves that they should not take Trump too literally but that too is a failure of imagination – his character is clear to those unblinded by gang mentality and he will govern in character.

The referendum was a great example of this. Large numbers of people better educated than average – the sort of people who work as producers at the BBC – talked about their vote like this:

‘Farage is racist, he hates gay people and made that comment about foreigners with HIV, he wants to turn the clock back and pull the drawbridge up, I’m not like that, my friends aren’t like that, I am on the other side to people like that, I am tolerant and modern, I will vote IN.’

All over the country sentiments almost identical to this were expressed in large numbers. The idea that millions of graduates voted because they ‘studied the issues’ is laughable to anybody who spent time measuring opinion honestly. Almost none of these people know more about what a Customs Union is than a bricky in Darlington. They did not vote on the basis of thinking hard about the dynamics of EMU or about how Brussels will cope with issues like gene drives. Millions thought – there’s two gangs and I know which one I’m in. Another subset of the better educated feared the short-term economic disruption of a Leave vote would cost them money. They also did not vote on the basis of deep consideration of the issues.

The modern day Oblonsky reads an op-ed about how ‘the CBI warns of the dangers of leaving the Single Market’ and ‘the dangers of racist extremists’ and, having no idea of what ‘the Single Market’ is, jabbers away at their dinner party about how concerned they are about leaving ‘the Single Market’, and a warm haze of knowing one is on the ‘good’ side of the argument envelops the brain.

When it comes to the central issues of the nature of the EU’s trading relationships and what a UK-EU relationship might look like outside the EU, we are dealing with a particularly strong example of this phenomenon. Not only do the Oblonskys not know what they are talking about, neither do almost any of the supposed experts and specialists.

Lots of people said to me ‘when are you going to set out the details of the UK-EU trade relationship if you win?’ What would have been the point of that?! Approximately nobody knows anything about the important details of how the EU works including the MPs who have spent years talking about it and the journalists who cover it – indeed, often those who talk about it most are the most ignorant (and most overconfident). This is still true six months after the vote – imagine how much more true it was in the six months before the vote.

I am not aware of a single MP or political journalist who understands the Single Market – its history, its nature, its dynamics, its legal system, the complex interactions between law, economics, business, history and so on. Cameron, Osborne and Clegg certainly don’t. Neither does Bill Cash. Neither does any head of the CBI. Neither do Jon Snow, Robert Peston, Evan Davis or John Humphreys so they do a rubbish job of exposing politicians’ ignorance.

The number of people who do is tiny. In our campaign there were two – Oliver Lewis and Richard Howell – who understood a large fraction of it and the common misconceptions. They constantly had to explain to MPs, MEPs, and journalists why their ideas were misunderstandings. Maybe there is a business/economics journalist somewhere who really understands it. There are certainly some exceptional lawyers who understand narrow aspects extremely well, though few of these also understand the political and business dimensions. I have spoken to many very successful business people and never met one on either side who understands the Single Market in depth. In the entire campaign I am not aware of a single programme on TV that even tried to delve into these issues seriously (Newsnight was particularly bad, combining smugness and vapidity such as dropping Evan Davis by helicopter on an offshore platform to babble about ‘sovereignty’ trying to make the Leave side look like a bunch of weirdo cranks). British elites handed over power to the Monnet-Delors project with barely one-in-a-thousand understanding in detail why, what it involved, and its likely evolution (and that  one-in-a-thousand almost all concluded that the public could not be trusted to know the truth – I’ll explore another time the ideas of this tiny group).

Further, it was clear that Cameron/Osborne intended to run a campaign based on hysterical warnings and bogus arguments/figures while ignoring the big questions about how the EU works and its trajectory. No10 tried to turn the whole complex issue into a question about whether the economy would grow a little bit slower over the next few years – a trivial issue relative to the significance of the overall question. They are not a duo who have ever engaged the public on a serious matter in a serious way. Their brains don’t work like that. They formed early habits of looking at everything through a very narrow prism of SW1 conventional political wisdom. Given this, the way the media works, how outnumbered we were among the influential broadcast media, and the way in which the media (inevitably to some extent) takes its lead from No10, why would I have tried to run a campaign based on educating normal people to a far higher level than the professionals and ‘experts’ who were fighting and covering the campaign? It would have been impossible to get even two sensible MPs to explain the same complex argument about such things on TV without cocking it up – it was hard enough to get people to say ‘let’s spend our money on our priorities’ without days of arguing. (If the vote had happened in 2017 and we’d had all that time to build sensibly more could have been done.)

We did try to get the media to focus on deeper questions of how the EU is run, its problems, its evolution and so on. We knew from the research that the more coverage of the EU, its powers, its record, its plans and so on the better for us. We had little to fear from serious policy discussion and much to gain. But we largely failed. (A big speech from Gove was turned by the Financial Times – yes, the FT that bemoaned the ‘low quality debate’ – into a story about whether he had ‘gaffed’ by mentioning Albania, though in plastering ‘Albania’ all over the place the FT accidentally helped us.) No10 calls up the BBC and says, ‘we’ve got a business letter tomorrow with dozens of household companies warning of Armageddon.’ If we published something worthy on the Eurozone’s debt and demographic nightmare, the structural problems of the Eurozone and implications of the Five Presidents’ Report, how far did this get? ‘Sounds boring. Who’s fronting it? Got any new names? Any chance of Boris putting the boot into Dave and George?’, is the first question from the BBC TV producer who has no interest in ‘the arguments’.

It was not in our power to change basics of how the media works. We therefore  twisted them to our advantage to hack the system.

Hack the medium, hack the message: ‘the alternative government’ launches Sunday 29 May

The media is obsessed with process and the snakes and ladders of careers. Many hacks said to me words to the effect: ‘I don’t care about the issues, I care about whether Cameron will still be PM at the end of the year.’ We could not match No10 in the golden currency of ‘names’. But we could give the media an even more valuable currency – a leadership story. When Boris and Gove decided to go for it after 29 May  immigration numbers, we launched the story of ‘the alternative government’.

The media were understandably obsessed with this story so we served it up to them in such a way that they also had to cover our message. For 10 days, we dominated the news with a set of stories on the Australian points system, VAT on fuel, Turkey, the NHS and so on all based on ‘it’s safer to take back control’. Broadcasters lapped it up – even ITV News which barely pretended to be impartial was useful.

What did the public hear? They heard that prominent Conservatives, particularly Boris and Gove, did not trust Cameron’s promises or warnings and that there was an alternative path – we could ‘take back control’, have ‘an Australian style immigration system’, and ‘spend our money on our priorities like the NHS’. In an environment in which the central arguments concerning trade and the economy were incomprehensible to the ‘experts’ themselves and the history and dynamics of the EU either unknown to or suppressed by broadcasters, people chose between two simple stories. Vote Leave’s was more psychologically compelling, given the three powerful forces at work and No10’s errors.

(NB. Whoever leaked the Hilary email story was probably doing something similar. This played into the media obsession with scandal and process such that they spent a ridiculous amount of time on it despite probably 80% of them wanting Hilary to win. It shows how powerfully the media is in the grip of dynamics they rarely reflect on themselves. Putin’s communication maestro, Surkov, uses these sorts of tricks all the time. Cf. Peter Pomerantsev’s great book, a must read for any MP before they pontificate on Putin’s mafia government.)

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The political media and how to improve it

High prestige pundits and editors yield great power over the stories told (and have far more power over politicians like Cameron, unfortunately, than they realise) but the field is not based on real expertise. Fields dominated by real expertise are distinguished by two features: 1) there is enough informational structure in the environment such that reliable predictions are possible despite complexity and 2) there is effective feedback so learning is possible.

Neither condition applies generally to politics or the political media. In the most rigorous studies done, it has been shown that in general political experts are little better than the proverbial dart throwing chimp and that those most confident in their big picture views and are most often on TV  – people like Robert Peston, Jon Snow, and Evan Davis – are the least accurate political ‘experts’ (cf. HERE).

We know that cognitive diversity is vital for political accuracy yet almost all political institutions and the media – including the dominant people at Newsnight, the Economist, the FT, and Parliament – are actually remarkably homogenous, as discussed above, and they herd around very similar ideas about how the world works. Scientists and entrepreneurs in particular are almost totally excluded from political influence.

There is no structure to hold them to account either internally or externally so, like anyone when not forced to be rigorous, they fool themselves. It is normal to write month after month that the IN campaign cannot lose because of XYZ then just as confidently and authoritatively explain why IN lost without any intermediate step of identifying and explaining errors.

Despite the rise of social media most people get most of their news from TV. TV coverage of politics rarely illuminates much because there is no clear way to decide who is right about anything. The format makes it almost impossible for any useful discussion to happen. Interviewers, politicians, and pundits talk past each other with no clarity about assumptions. Questions are vague, often meaningless, posed by interviewers who rarely have more than a thin bluffer’s understanding of any policy issue and the same is usually true of those answering; the more famous the interviewer, the less likely it is they know anything about, say, education policy and like David Cameron they are bluffing. (As soon as a story is deemed ‘political’ it is taken out of the hands of specialists (who are very rarely actually specialists anyway) and given to ‘political’ hacks who have no idea of the policy.) Most of those professionally involved are much more interested in the ‘horse race’ political dimension than the policy. They obsess on process and scandal but most people have no interest in the process or ‘scandals’  because they assume ‘they’re all dodgy in some way’. Nobody tries to make predictions that can be checked and the shows don’t take what is said seriously enough to catalogue it. Simplistic stories compete so political analysis is dominated by endless false dichotomies.

Those making the shows do not understand how people learn so the dead format recycles grim clichés like Evan Davis saying ‘… economy down the plug hole’, while filming an actual plug hole, or Nick Robinson saying ‘… will the economy take off’ standing in front of a plane actually taking off (both of these have happened). Every night the News contains reports that are a mix of incomprehensible, facile, and boring to millions while also usually at best simplistic and often just wrong when it comes to policy / issues. The possibilities of the medium are largely ignored.

Insiders think of the masses as being irrational in paying so little attention to political debate. I think they are rational. If you want to understand politics you should read serious things and invest time and effort in researching public opinion. You should particularly make an effort to invert your point of view and consider opinions very different to your own. Time spent watching/listening to shows like Newsnight and Today is not just wasted – it is actively distorting reality and making you less informed. I often meet people who are cleverer than those in politics and successful but they have deluded views about politics because they pay too much attention to political analysis. Overall, unless you are professionally involved in politics you will be better off if you stop >95% active reading of political analysis. You will miss occasional worthwhile things but the effort of sorting them is not worth it. If something is genuinely very good / unusual and you have avoided isolating yourself in an echo chamber that insulates you from opinions very different to your own then someone reliable will send it to you. Even if you are professionally involved in politics I would do roughly the same. Extreme focus on important things you can control will repay far far more than time spent reading speculation about things you can’t control.

I read very little punditry during the campaign – just enough to preserve a sense of the gaps between the ‘croaking frogs’ and the real world. If I’d had less infighting to deal with I’d have read even less as I could have been less concerned about tracking certain things. In my entire time in the DfE (three years) I never listened to Today once (I listened to a handful of interviews on the web). I focused on managing priorities and saying ‘No, stop, that’s a waste of time’ every day.

This situation is particularly ironic because the media industry is in a panic about the internet, falling ad revenues and profits, the collapse of print journalism and so on.

A better way…

There is a better way.

Example 1. Shows should require precise quantitative predictions about well-formed questions as Superforecasters do. Newspapers should do the same when interviewing people. The next step is using this process to push people towards admitting conditional errors like ‘if I am proved wrong about X by date Y then I will admit I was wrong to claim Z’. If political shows pushed their guests to do this and kept track of the predictions it could have a big positive effect. (Next time they come on you can flash up their record on a screen so the public can see how often they are right.) It is vital to change incentives so people are encouraged to admit errors and learn instead of fooling themselves constantly. For those who refuse it would be easy to develop a protocol that categorises their vague comments and puts numbers on them. This will push them to ‘correct the record’.

Example 2. Rip up the format for political shows and base broadcasts on a) an empirical assessment of what people actually know and b) the science of how people really learn and how best to communicate. Instead of the tedious low-information interviews, imagine what could be done if one had a mix of artists, scientists, and policy specialists trying really hard to use the possibilities of film to explain things, then used cutting edge data science to test how effective they were as part of a learning cycle driving higher quality. A news broadcast now contains much less  information content and much higher noise than reading. The only way to improve this is experimenting with formats in a scientific way. Doing this would force those making the news to think more about policy and the audience would be much more engaged. People are interested in policy and ‘how X will affect me, my family, and my community’. It would also obviously require a lot of changes in the media but this is coming anyway because existing business models are blowing up.

Example 3. Pay for this partly by firing most of your political commentators like Dan Hodges. Broadcasters, fire 90% of your political correspondents. They are a waste of money. Hire a much smaller number of much better people with radically different skills and backgrounds and a different focus. (By doing #1 you will soon see who is more/less accurate so you’ll have a good benchmark.)

Together these changes could improve the quality by a factor of x10 or more. The same principle of focusing on precise quantitative predictions about well-formed questions could also be used to improve policy making and management of bureaucracies by developing clusters of well-formed questions that ‘surround’ a vaguer big question that is not so susceptible to measurement.

For example, break down ‘will Britain leaving the EU be a success?‘ into dozens of simpler more precise questions that can be quantified and which together give a useful part of an overall answer. This process could be put on a prediction platform for little money and dramatically improve the quality of decisions. The Superforecasters new consultancy could do this pretty simply with little help and not much money.

As usual in systems that are failing, the youngest people understand the problems and possibilities best while the most senior / prestigious figures can’t think of anything to do other than get overpaid for what they’ve always done. If you run a big media company, you should replace the expensive old schoolers like Jon Snow with  younger, cheaper, and brighter new schoolers with an extreme focus on the public, not SW1.

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An example of a simple, powerful media story that is wrong and contributed to forecasting errors on Brexit – ‘the centre ground’

One of the most misleading stories in politics is the story of ‘the centre ground’. In this story people’s views are distributed on an X-axis with ‘extreme left’ at one end, ‘extreme right’ at the other end, and ‘the centre ground’ in the middle. People in ‘the centre’ are ‘moderate’. ‘Extremists’ are always ‘lurching’ while ‘sensible moderates’ are urged to ‘occupy the centre’.

This story is one of the dominant features of political discussion and the basis for endless interviews, columns, and attempts at political ‘strategy’. The story is deeply flawed and where it is not trivially true it is deeply misleading.

Swing voters who decide elections – both those who swing between Conservative/Labour and those who swing between IN/OUT – do not think like this. They support much tougher policies on violent crime than most Tory MPs AND much higher taxes on the rich than Blair, Brown, and Miliband. They support much tougher anti-terrorism laws than most Tory MPs AND they support much tougher action on white collar criminals and executive pay than Blair, Brown, and Miliband.

One of the key delusions that ‘the centre ground’ caused in SW1 concerned immigration. Most people convinced themselves that ‘swing voters’ must have a ‘moderate’ and ‘centre ground’ view between Farage and Corbyn. Wrong. About 80% of the country including almost all swing voters agreed with UKIP that immigration was out of control and something like an Australian points system was a good idea. This was true across party lines.

This was brought home to me very starkly one day. I was conducting focus groups of Conservative voters. I talked with them about immigration for 20 minutes (all focus groups now start with immigration and tend to revert to it within two minutes unless you stop them). We then moved onto the economy. After two minutes of listening I was puzzled and said – who did you vote for? Labour they all said. An admin error by the company meant that I had been talking to core Labour voters, not core Tory voters.  On the subject of immigration, these working class / lower middle class people were practically indistinguishable from all the Tories and UKIP people I had been talking to.

The media tried to categorise Vote Leave as ‘right wing’ while Tory MPs and Farage’s gang were screaming at me about our championing the NHS and our attacks on the indefensible pay of FTSE CEOs. SW1 did not understand our appeal but the crucial voters did because they do not think as the ‘experts’ think they think. We tried to speak to a majority in the country. Cameron and Osborne have never won even 40%. They approached it as they did previous battles but this greatly limited their appeal. Most UKIP and Tory voters (rather than MPs/insiders) agreed with us on the NHS and executive pay while also agreeing with us on the need to take back control of immigration policy from a system that has obviously failed. Our campaign was neither Left nor Right in the eyes of the crucial audience.

The media made a similar mistake with Trump. Trump did lots of things wrong and the post facto re-branding of his campaign as ‘brilliant’ is very silly. BUT he had a national message the core of which appealed to a big majority and which defied categorisation as Left/Right. Again the media do not realise this – they label it, like Vote Leave, as ‘populist right’ (abetted by some charlatan academics). But the reason why it is successful is exactly because it is not a simple right-wing message.

It doesn’t occur to SW1 and the media that outside London their general outlook is seen as extreme. Have an immigration policy that guarantees free movement rights even for murderers, so we cannot deport them or keep them locked up after they are released? Extreme. Have open doors to the EU and don’t build the infrastructure needed? Extreme. Take violent thugs who kick women down stairs on CCTV, there is no doubt about their identity, and either don’t send them to jail or they’re out in a few months? Extreme. Have a set of policies that stops you dealing with the likes of ‘the guy with the hook’ for over a decade while still giving benefits to his family? Extreme. Ignore warnings about the dangers of financial derivatives, including from the most successful investor in the history of the world, and just keep pocketing the taxes from the banks and spending your time on trivia rather than possible disasters? Extreme. Make us – living on average wages without all your lucky advantages – pay for your bailouts while you keep getting raises and bonuses? Extreme and stupid – and contemptible.

These views are held across educational lines, across party lines, and across class lines. Cameron, Blair, and Evan Davis agree about lots of these things and tell people constantly why they are wrong to think differently but to millions they are the extremists.

(This is not a post facto rationalisation. I wrote about the centre ground and the EU in 2014 HERE.)

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Why I got involved and my role

Winning the referendum against Cameron was not the way I wanted things to happen. I thought the chances of winning a referendum against a PM on the other side, with all the possibilities for him to mobilise the system behind IN, were low. Many prominent Eurosceptics (not all) lobbied for it out of a combination of self-promotion and not knowing how to solve the real problem – what should the UK-EU relationship be? The referendum was very useful for many Out-ers: it provided a much simpler political focus than figuring out a complex positive agenda, removed the need for difficult thinking and action, and gave people a chance to pose on the side of ‘democracy’. I thought it foolish to push for a referendum while simultaneously not building a serious movement to win it. (I had tried to start building such a movement in 2004 after the euro battle was clearly won but could not persuade crucial people so decided to drop the issue for a while.) Romantic long shots are rarely wise in politics particularly if there is a better path.

I thought it wiser and safer to wait for Cameron to go then try to capture the Tory leadership and change the UK-EU relationship from Downing Street with someone who actually wanted to solve the problems (Cameron’s best friends would not claim that he wanted to spend his time trying to solve these deep problems, he wanted not to think about the EU and got into an existential battle he never wanted). If you are going to have a referendum, then have it when controlling the institutions and when you can set the agenda. A British PM could invite the EU to evolve such as to include a) those in the euro, Single Market and ‘free movement’, and b) those outside some or all of those three but with free trade and friendly cooperation between all. The chances are low that there would have been support for fundamental change but then a divorce could have happened after a serious clarifying debate which would have occurred ~2018-25, including the Eurozone countries figuring out what they would do. This would have been a much better way to proceed than the charade of Cameron’s ‘renegotiation’. Either Europe would have embraced a new and more open architecture (unlikely) or the Government would have won a Leave referendum with 60-70% and prompted a lot of clarifying thought across Europe.

I also thought it foolish of Cameron to cave into the pressure and promise a referendum in 2013. So did Gove and Osborne both of whom told Cameron not to do it. He mistakenly thought it would take the wind out of UKIP’s sails and did not understand why it would actually boost UKIP and Farage. (This was not hard to foresee and I suspect part of the problem was that Cameron did not appreciate that him promising a referendum would be thought by most as just a typical pre-election lie.) The idea that there was an irresistible force for a referendum is pushed by Farage’s and Cameron’s supporters. They are both wrong. The country supported one but without any passion outside the small fraction who had long been passionate about it. Most Tory MPs did not want it. Most Tory donors thought the timing was wrong and wanted a focus on stopping Miliband who they feared. Those MPs who did want it could mostly have been bought off or distracted in other ways – a mix of some policy, gongs, bribes, and so on in the usual fashion. Putting a date on the vote was particularly mistaken – it would have been far better to leave it open-ended ‘in the next Parliament’.

Once the election happened there was a sudden panic among OUT-ers. UKIP was an organisational disaster. There was no national campaign prepared. There were many tiny groups who often hated each other more than they wanted to win and were conditioned to expect failure and defeat. There was an abundance of people who thought that the campaign was quite simple – put me on TV, they thought, and the nation will appreciate my natural leadership. There was practically nothing of what was actually needed. Many quickly flipped into panic mode assuming the vote was unwinnable.

Having opposed the push for a referendum, I was faced with an uncomfortable choice in May 2015. Either keep out of politics, refuse to help, and then feel miserable about the tragicomic campaign, or re-engage with people I did not want to work with, feel miserable about the tragicomic campaign, and in almost every way make my life worse. In many ways irrationally, I chose the latter. My thinking was something like this: the chance of changing the whole political system (more profoundly than in a normal election) comes along very rarely, the chaos of the eurosceptics and the complacency of Cameron creates a very slim bridge to seize control and do it, a small chance of very high impact is worth the gamble. About a month or so later my wife was pregnant. If the timing had been slightly different I might well have stayed retired.

Why do it?

I thought that Leaving would improve the probability of 1) Britain contributing positively to the world and 2) minimising dangers. I thought it would:

  1. minimise Britain’s exposure to the problems caused by the EU;
  2. improve the probability that others in Europe would change course before more big crises hit, e.g. by limiting free movement which is the biggest threat to continued free trade;
  3. require and therefore hopefully spark big changes in the fundamental wiring of UK government including an extremely strong intelligent focus on making Britain the best place in the world for science and education;
  4. improve the probability of building new institutions for international cooperation to minimise the probability of disasters.

The foundation problem with the EU was best summarised by the brilliant physicist David Deutsch, the man who extended Alan Turing’s 1936 paper on computation into the realm of quantum mechanics. Deutsch said:

‘The EU is incompatible with Britain’s more advanced political culture. I’m voting Leave… [E]rror correction is the basic issue, and I can’t foresee the EU improving much in this respect… [P]reserving the institutions of error correction is more important than any policy… Whether errors can be corrected without violence is not a “concern” but a condition for successfully addressing concerns.’

Healthy and effective systems like our immune system and the English common law allow constant and rapid error-correction. Unhealthy and ineffective systems like the EU and modern Whitehall departments block error-correction. They are extremely centralised and hierarchical therefore information processing is blocked and problems are not solved. In politics this often leads to disasters when more and more resources are devoted to reinforcing failure. NB. This most fundamental question played effectively no role in the debate.

This fundamental problem generates its other problems. It arises because of how Monnet and Delors created its institutions deliberately in opposition to the Anglo-American system they bitterly opposed. The Foreign Office romantic delusion of ‘influence’ was peddled by every PM since Thatcher. Every one left office having demonstrated how empty the hope is. True influence comes from demonstrating success – not sitting in meetings for forty years in an institution that is programmed on principles that guarantee worse error-correction than the evolved institutions  of the Anglo-American system.

I will go into the problems of the EU another time. I will just make one important point here.

I thought very strongly that 1) a return to 1930s protectionism would be disastrous, 2) the fastest route to this is continuing with no democratic control over immigration or  human rights policies for terrorists and other serious criminals, therefore 3) the best practical policy is to reduce (for a while) unskilled immigration and increase high skills immigration particularly those with very hard skills in maths, physics and computer science, 4) this requires getting out of the EU, 5) hopefully it will prod the rest of Europe to limit immigration and therefore limit the extremist forces that otherwise will try to rip down free trade.

One of our campaign’s biggest failures was to get even SW1 to think seriously about this, never mind millions of voters. Instead the false idea spread and is still dominant that if you are on the side of free trade, think controlled immigration generally a positive force, and want more international cooperation rather than a return to competing nation states then you must support the EU. I think this error is caused by the moral signalling and gang mentality described above.

What was my role?

My role mainly involved:

a) trying to suppress/divert/overcome internal coalition warfare to a level where about ten crucial people were protected enough to do their jobs,

b) building the team,

c) management,

d) taking a small number of important decisions about policy, message, money, and the machine,

e) providing clear focus and priorities, including the vital job that nobody likes of saying ‘no’ to hundreds of people (thus making (a) harder), and

f) dealing with big problems.

The media tends to suggest my role was mainly talking to them. This is wrong. The same happened with my role in the DfE. In both projects my main role was management. Serious management means extreme focus and this requires saying No an awful lot. Contrary to the media story, I dislike confrontation and rows like most people but I am very strongly motivated by doing things in a certain way and am not motivated by people in SW1 liking me. This is often confused with having a personality that likes fighting with people. One of the basic reasons so much in politics is mismanaged is that so often those responsible are more interested in social relations than in results and unlike in other more successful fields the incentives are not structured to control this instinct.

Many have written that I got involved with this because of ‘hate’ or ‘loathing’ for Cameron. Wrong. I do not hate Cameron. I do not respect him, which is different. I thought that he was in politics for bad reasons – essentially because he was someone who wanted ‘To Be’, not someone who wanted ‘To Do’ (see the Colonel Boyd speech) and his priority was himself and a small gang, not the public. I also thought Cameron was mostly (not all) bad at the job, despite having some of the  necessary temperamental characteristics, and was flattered by having Brown then Miliband as opponents. I didn’t object to him blocking me from Government in 2010. He was entitled not to hire someone who did not take him seriously and ignored the orders of his Chief of Staff.

I spent a few years of my life (1999-2002) trying to stop Blair on the euro before anyone had heard of Cameron. In 2004 I co-founded the campaign that won the referendum on the North East Regional Assembly 80-20 as a training exercise for a possible future EU referendum. My motivation was the issue itself – not personal antipathy for Cameron or anybody else. I’ve never been a party person. I’m not Tory, libertarian, ‘populist’ or anything else. I follow projects I think are worthwhile.

Farage’s motley crew claim that I did this campaign in order to lose it deliberately then get a job in No 10 with Cameron. It is pointless to discuss this theory though the fact that they understood so little about the political environment, and struggled to use Google, was an important fact.

I am not clever, I have a hopeless memory, and have almost no proper ‘circle of competence’. I made lots of mistakes in the campaign. I have had success in building and managing teams. This success has not relied on a single original insight of any kind. It comes from applying what Charlie Munger calls unrecognised simplicities of effective action that one can see implemented by successful people/organisations.

Effective because they work reliably, simple enough that even I could implement them, and ‘unrecognised’ because they are hiding in plain sight but are rarely stolen and used. I found 10-15 highly motivated people who knew what they were doing and largely left them to get on with it while stopping people who did not know what they were doing interfering with them, we worked out a psychologically compelling simple story, and we applied some simple management principles that I will write about another time. It is hard to overstate the relative importance in campaigns of message over resources. Our success is an extreme example given the huge imbalance in forces on either side. In many ways Trump’s victory has little resemblance to what we did but in this respect he is another example.

We also got lucky.

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I will post a number of blogs of the referendum to try to answer some basic questions including:

What were the main political, operational, financial/budgetary, and data/digital lessons from the campaign?

What worked and did not work?

How confident can we be about these judgements?

There is a natural set of categories and I will post links to blogs below:

  • Some basic numbers that summarise important elements.
  • Strategy, message, polls.
  • Policy.
  • Data and digital.

On data science, digital marketing, canvassing software made available for download. (NB. There has been some confusion about this blog. The VICS system is a web-based canvassing tool, the first proper one that works in the UK – it was one component of our overall data science approach and should not be equated with it. It is not a data science tool – it provided data to the data science team.)

  • The ground campaign.
  • The media.
  • Internal politics and the infighting.
  • Dynamics that affect ‘what next’.
  • The rules: how could they be improved to make future votes serve the public better?

Please leave comments and corrections below. I am happy to approve hostile comments if they have substance and will moderate comments to avoid putting sensible people off reading them.

A review of Tetlock’s ‘Superforecasting’ (2015)

Spectator Review, October 2015

Forecasts have been fundamental to mankind’s journey from a small tribe on the African savannah to a species that can sling objects across the solar system with extreme precision. In physics, we developed models that are extremely accurate across vastly different scales from the sub-atomic to the visible universe. In politics we bumbled along making the same sort of errors repeatedly.

Until the 20th century, medicine was more like politics than physics. Its forecasts were often bogus and its record grim. In the 1920s, statisticians invaded medicine and devised randomised controlled trials. Doctors, hating the challenge to their prestige, resisted but lost. Evidence-based medicine became routine and saved millions of lives. A similar battle has begun in politics. The result could be more dramatic.

In 1984, Philip Tetlock, a political scientist, did something new – he considered how to assess the accuracy of political forecasts in a scientific way. In politics, it is usually impossible to make progress because forecasts are so vague as to be useless. People don’t do what is normal in physics – use precise measurements – so nobody can make a scientific judgement in the future about whether, say, George Osborne or Ed Balls is ‘right’.

Tetlock established a precise measurement system to track political forecasts made by experts to gauge their accuracy. After twenty years he published the results. The average expert was no more accurate than the proverbial dart-throwing chimp on many questions. Few could beat simple rules like ‘always predict no change’.

Tetlock also found that a small fraction did significantly better than average. Why? The worst forecasters were those with great self-confidence who stuck to their big ideas (‘hedgehogs’). They were often worse than the dart-throwing chimp. The most successful were those who were cautious, humble, numerate, actively open-minded, looked at many points of view, and updated their predictions (‘foxes’). TV programmes recruit hedgehogs so the more likely an expert was to appear on TV, the less accurate he was. Tetlock dug further: how much could training improve performance?

In the aftermath of disastrous intelligence forecasts about Iraq’s WMD, an obscure American intelligence agency explored Tetlock’s ideas. They created an online tournament in which thousands of volunteers would make many predictions. They framed specific questions with specific timescales, required forecasts using numerical probability scales, and created a robust statistical scoring system. Tetlock created a team – the Good Judgement Project (GJP) – to compete in the tournament.

The results? GJP beat the official control group by 60% in year 1 and by 78% in year 2. GJP beat all competitors so easily the tournament was shut down early.

How did they do it? GJP recruited a team of hundreds, aggregated the forecasts, gave extra weight to the most successful, and applied a simple statistical rule. A few hundred ordinary people and simple maths outperformed a bureaucracy costing tens of billions.

Tetlock also found ‘superforecasters’. These individuals outperformed others by 60% and also, despite a lack of subject-specific knowledge, comfortably beat the average of professional intelligence analysts using classified data (the size of the difference is secret but was significant).

Superforecasters explores the nature of these unusual individuals. Crucially, Tetlock has shown that training programmes can yield big improvements. Even a mere sixty minute tutorial on some basics of statistics improves performance by 10%. The cost:benefit ratio of training forecasting is huge.

It would be natural to assume that this work must be the focus of intense thought and funding in Whitehall. Wrong. Whitehall has ignored this entire research programme. Whitehall experiences repeated predictable failure while simultaneously seeing no alternative to their antiquated methods, like 1950s doctors resisting randomised control trials that threaten prestige.

This may change. Early adopters could use Tetlock’s techniques to improve performance. Success sparks mimicry. Everybody reading this could do one simple thing: ask their MP whether they have done Tetlock’s training programme. A website could track candidates’ answers before the next election. News programmes could require quantifiable predictions from their pundits and record their accuracy.

We now expect that every medicine is tested before it is used. We ought to expect that everybody who aspires to high office is trained to understand why they are so likely to make mistakes forecasting complex events. The cost is tiny. The potential benefits run to trillions of pounds and millions of lives. Politics is harder than physics but Tetlock has shown that it doesn’t have to be like astrology.

Superforecasting: the art and science of prediction, by Philip Tetlock (Random House, 352 pages)

Ps. When I wrote this (August/September 2015) I was assembling the team to fight the referendum. One of the things I did was hire people with very high quantitative skills, as I describe in this blog HERE.

On the referendum #20: the campaign, physics and data science – Vote Leave’s ‘Voter Intention Collection System’ (VICS) now available for all

‘If you don’t get this elementary, but mildly unnatural, mathematics of elementary probability into your repertoire, then you go through a long life like a one-legged man in an ass-kicking contest. You’re giving a huge advantage to everybody else. One of the advantages of a fellow like Buffett … is that he automatically thinks in terms of decision trees and the elementary math of permutations and combinations… It’s not that hard to learn. What is hard is to get so you use it routinely almost everyday of your life. The Fermat/Pascal system is dramatically consonant with the way that the world works. And it’s fundamental truth. So you simply have to have the technique…

‘One of the things that influenced me greatly was studying physics… If I were running the world, people who are qualified to do physics would not be allowed to elect out of taking it. I think that even people who aren’t [expecting to] go near physics and engineering learn a thinking system in physics that is not learned so well anywhere else… The tradition of always looking for the answer in the most fundamental way available – that is a great tradition.’ Charlie Munger, Warren Buffet’s partner.

During the ten week official campaign the implied probability from Betfair odds of IN winning ranged between 60-83% (rarely below 66%) and the probability of OUT winning ranged between 17-40% (rarely above 33%). One of the reasons why so few in London saw the result coming was that the use by campaigns of data is hard to track even if you know what to look for and few in politics or the media know what to look for yet. Almost all of Vote Leave’s digital communication and data science was invisible even if you read every single news story or column ever produced in the campaign or any of the books so far published (written pre-Shipman’s book).

Today we have made a software product available for download – Vote Leave’s ‘Voter Intention Collection System’ (VICS) – click HERE. It was named after Victoria Woodcock, Operations Director, known as Vics, who was the most indispensable person in the campaign. If she’d gone under a bus, Remain would have won. When comparing many things in life the difference between average and best is say 30% but some people are 50 times more effective than others. She is one of them. She had ‘meetings in her head’ as people said of Steve Wozniak. If she had been Cameron’s chief of staff instead of Llewellyn and Paul Stephenson had been director of communications instead of Oliver and he’d listened to them, then other things being equal Cameron would still be on the No10 sofa with a glass of red and a James Bond flick. They were the operational/management and communications foundation of the campaign. Over and over again, those two – along with others, often very junior – saved us from the consequences of my mistakes and ignorance.

Among the many brilliant things Vics did was manage the creation of VICS. When we started the campaign I had many meetings on the subject of canvassing software. Amazingly there was essentially no web-based canvassing software system for the UK that allowed live use and live monitoring. There have been many attempts by political parties and others to build such systems. All failed, expensively and often disastrously.

Unfortunately, early on (summer 2015) Richard Murphy was hired to manage the ground campaign. He wanted to use an old rubbish system that assumed the internet did not exist. This was one of the factors behind his departure and he decided to throw in his lot with Farage et al. He then inflicted this rubbish system on Grassroots Out which is one of the reasons why it was an organisational/management disaster and let down its volunteers. After Vote Leave won the official designation, many GO activists defected, against official instructions from Farage, and plugged into VICS. Once Murphy was replaced by Stephen Parkinson (now in No10) and Nick Varley, the ground campaign took off.

We created new software. This was a gamble but the whole campaign was a huge gamble and we had to take many calculated risks. One of our central ideas was that the campaign had to do things in the field of data that have never been done before. This included a) integrating data from social media, online advertising, websites, apps, canvassing, direct mail, polls, online fundraising, activist feedback, and some new things we tried such as a new way to do polling (about which I will write another time) and b) having experts in physics and machine learning do proper data science in the way only they can – i.e. far beyond the normal skills applied in political campaigns. We were the first campaign in the UK to put almost all our money into digital communication then have it partly controlled by people whose normal work was subjects like quantum information (combined with political input from Paul Stephenson and Henry de Zoete, and digital specialists AIQ). We could only do this properly if we had proper canvassing software. We built it partly in-house and partly using an external engineer who we sat in our office for months.

Many bigshot traditional advertising characters told us we were making a huge error. They were wrong. It is one of the reasons we won. We outperformed the IN campaign on data despite them starting with vast mounts of data while we started with almost zero, they had support from political parties while we did not, they had early access to the electoral roll while we did not, and they had the Crosby/Messina data and models from the 2015 election while we had to build everything from scratch without even the money to buy standard commercial databases (we found ways to scrape equivalents off the web saving hundreds of thousands of pounds).

If you want to make big improvements in communication, my advice is – hire physicists, not communications people from normal companies and never believe what advertising companies tell you about ‘data’ unless you can independently verify it. Physics, mathematics, and computer science are domains in which there are real experts, unlike macro-economic forecasting which satisfies neither of the necessary conditions – 1) enough structure in the information to enable good predictions, 2) conditions for good fast feedback and learning. Physicists and mathematicians regularly invade other fields but other fields do not invade theirs so we can see which fields are hardest for very talented people. It is no surprise that they can successfully invade politics and devise things that rout those who wrongly think they know what they are doing. Vote Leave paid very close attention to real experts. (The theoretical physicist Steve Hsu has a great blog HERE which often has stuff on this theme, e.g. HERE.)

More important than technology is the mindset – the hard discipline of obeying Richard Feynman’s advice: ‘The most important thing is not to fool yourself and you are the easiest person to fool.’ They were a hard floor on ‘fooling yourself’ and I empowered them to challenge everybody including me. They saved me from many bad decisions even though they had zero experience in politics and they forced me to change how I made important decisions like what got what money. We either operated scientifically or knew we were not, which is itself very useful knowledge. (One of the things they did was review the entire literature to see what reliable studies have been done on ‘what works’ in politics and what numbers are reliable.) Charlie Munger is one half of the most successful investment partnership in world history. He advises people – hire physicists. It works and the real prize is not the technology but a culture of making decisions in a rational way and systematically avoiding normal ways of fooling yourself as much as possible. This is very far from normal politics.

(One of the many ways in which Whitehall and Downing Street should be revolutionised is to integrate physicist-dominated data science in decision-making. There are really vast improvements possible in Government that could save hundreds of billions and avoid many disasters. Leaving the EU also requires the destruction of the normal Whitehall/Downing Street system and the development of new methods. A dysfunctional broken system is hardly likely to achieve the most complex UK government project since beating Nazi Germany, and this realisation is spreading – a subject I will return to.)

In 2015 they said to me: ‘If the polls average 50-50 at the end you will win because of differential turnout and even if the average is slightly behind you could easily win because all the pollsters live in London and hang out with people who will vote IN and can’t imagine you winning so they might easily tweak their polls in a way they think is making them more accurate but is actually fooling themselves and everybody else.’ This is what happened. Almost all the pollsters tweaked their polls and according to Curtice all the tweaks made them less accurate. Good physicists are trained to look for such errors. (I do not mean to imply that on 23 June I was sure we would win. I was not. Nor was I as pessimistic as most on our side. I will write about this later.)

VICS allows data to be input centrally (the electoral roll, which in the UK is a nightmare to gather from all the LAs) and then managed at a local level, whether that be at street level, constituency or wider areas. Security levels can be set centrally to ensure that no-one can access the whole database. During the campaign we used VICS to upload data models which predicted where we thought Leave voters were likely to be so that we could focus our canvassing efforts, which was important given limited time and resources on the ground. The model produced star ratings so that local teams could target the streets more likely to contain Leave voters.

Data flowed in on the ground and was then analysed by the data science team and integrated with all the other data streaming in. Data models helped us target the ground campaign resources and in turn data from the ground campaign helped test and refine the models in a learning cycle – i.e. VICS was not only useful to the ground campaign but also helped improve the models used for other things. (This was the point of our £50 million prize for predicting the results of the European football championships, which gathered data from people who usually ignore politics – I’m still frustrated we couldn’t persuade someone to insure a £350 million prize which is what I wanted to do.) In the official 10 week campaign we served about one billion targeted digital adverts, mostly via Facebook and strongly weighted to the period around postal voting and the last 10 days of the campaign. We ran many different versions of ads, tested them, dropped the less effective and reinforced the most effective in a constant iterative process. We combined this feedback with polls (conventional and unconventional) and focus groups to get an overall sense of what was getting through. The models honed by VICS also were used to produce dozens of different versions of the referendum address (46 million leaflets) and we tweaked the language and look according to the most reliable experiments done in the world (e.g. hence our very plain unbranded ‘The Facts’ leaflet which the other side tested, found very effective, and tried to copy). I will blog more about this.

These canvassing events represented 80-90% of our ground effort in the last few months, hence some of the reports by political scientists derived from Events pages on the campaign websites, which did not include canvassing sessions, are completely misleading about what actually happened (this includes M Goodwin who is badly confused and confusing, and kept telling the media duff information after he was told it was duff). There was also a big disinformation campaign by Farage’s gang, including Bone and Pursglove, who told the media ‘Vote Leave has no interest in the ground campaign’. This was the opposite of the truth. By the last 10 weeks we had over 12,000 people doing things every week (we had many more volunteers than this but the 12,000 were regularly active). When Farage came to see me for the last time (as always fixated only on his role in the debates and not the actual campaign which he was sure was lost) he said that he had 7,000 activists who actually did anything. He was stunned when I said that we had over 12,000. I think Farage et al believe their own spin on this subject and were deluded not lying. (Obviously there was a lot of overlap between these two figures.) These volunteers delivered about 70 million leaflets out of a total ~125 million that were delivered one way or another.

While there were some fantastic MPs who made huge efforts on the ground – e.g. Anne Marie Trevelyan – it was interesting how many MPs, nominally very committed to Leave, did nothing useful in their areas nor had any interest in ground campaigning and data. Many were far more interested in trying to get on TV and yapping to hacks than in gathering useful data, including prominent MPs on our Board and Campaign Committee, some of whom contributed ZERO useful data in the entire campaign. Some spent much of the campaign having boozy lunches with Farage gossiping about what would happen after we lost. Because so many of them proved untrustworthy and leaked everything I kept the data science team far from prying eyes – when in the office, if asked what they did they replied ‘oh I’m just a junior web guy’. It would have been better if we could have shared more but this was impossible given some of the characters.

VICS is the first of its kind in the UK and provided new opportunities. It is, of course, far from ideal. It was developed very quickly, we had to cut many corners, and it could be improved on. But it worked. Many on the ground, victims of previous such attempts, assumed it would blow up under the pressure of GOTV. It did not. It worked smoothly right through peak demand. This was also because we solved the hardware problem by giving it to Rackspace which did a great job – they have a system that allows automatic scaling depending on the demand so you don’t have to worry about big surges overwhelming the system.

There were many things we could have done much better. Our biggest obstacle was not the IN campaign and its vast resources but the appalling infighting on our own side driven by all the normal human motivations described in Thucydides – fear, interest, the pursuit of glory and so on. Without this obstacle we would have done far more on digital/data. Having seen what is offered by London’s best communications companies, vast improvements in performance are clearly possible if you hire the right people. A basic problem for people in politics is that approximately none have the hard skills necessary to distinguish great people from charlatans. It was therefore great good fortune that I was friends with our team before the campaign started.

During the campaign many thousands of people donated to Vote Leave. They paid for VICS. Given we spent a lot of money developing it and there is nothing equivalent available on the market and Vote Leave is no more (barring a very improbable event), we thought that we would make VICS available for anybody to use and improve though strictly on the basis that nobody can claim any intellectual property rights over it. It is being made available in the spirit of the open source movement and use of it should be openly acknowledged. Thanks again to the thousands of people who made millions of sacrifices – because of you we won everywhere except London, Scotland and Northern Ireland against the whole Government machine supported by almost every organisation with power and money.

I will write more about the campaign once the first wave of books is published.

PS. Do not believe the rubbish peddled by Farage and the leave.EU team about social media. E.g. a) They boasted publicly that they paid hundreds of thousands of pounds for over half a million Facebook ‘Likes’ without realising that b) Facebook’s algorithms no longer optimised news feeds for Likes (it is optimised for paid advertising). Leave.EU wasted hundreds of thousands just as many big companies spent millions building armies of Likes that were rendered largely irrelevant by Facebook’s algorithmic changes. This is just one of their blunders. Vote Leave put our money into targeted paid adverts, not buying Likes to spin stories to gullible hacks, MPs, and donors. Media organisations should have someone on the political staff who is a specialist in data or have a route to talk to their organisation’s own data science teams to help spot snake oil merchants.

PPS. If you are young, smart, and interested in politics, think very hard before studying politics / ‘political science’ / PPE at university. You will be far better off if you study maths or physics. It will be easy to move into politics later if you want to and you will have more general skills with much wider application and greater market value. PPE does not give such useful skills – indeed, it actually causes huge problems as it encourages people like Cameron and Ed Balls to ‘fool themselves’ and spread bad ideas with lots of confidence and bluffing. You can always read history books later but you won’t always be able to learn maths. If you have these general skills, then you will be much more effective than the PPE-ers you will compete against. In a few years, this will be more obvious as data science will be much more visible. A new interdisciplinary degree is urgently needed to replace PPE for those who want to go into politics. It should include the basics of modelling and involve practical exposure to people who are brilliant at managing large complex organisations.

PPPS. One of the projects that the Gove team did in the DfE was funding the development of a ‘Maths for Presidents’ course, in the same spirit as the great Berkeley course ‘Physics for Presidents’, based on ideas of Fields Medallist Tim Gowers. The statistics of polling would be a good subject for this course. This course could have a big cultural effect over 20 years if it is supported wisely.

‘Standin’ by the window, where the light is strong’: de-extinction, machine intelligence, the search for extra-solar life, autonomous drone swarms bombing Parliament, genetics & IQ, science & politics, and much more @ SciFoo 2014

‘SciFoo’ 8-10 August 2014, the Googleplex, Silicon Valley, California.

On Friday 8 August, I woke up in Big Sur (the coast of Northern California), looked out over the waves breaking on the wild empty coastline, munched a delicious Mexican breakfast at Deetjen’s, then drove north on Highway 1 towards Palo Alto where a few hours later I found myself looking through the windows of Google’s HQ at a glittering sunset in Silicon Valley.

I was going to ‘SciFoo’. SciFoo is a weekend science conference. It is hosted by Larry Page at Google’s HQ in Silicon Valley and organised by various people including the brilliant Timo Hannay from Digital Science.

I was invited because of my essay that became public last year (cf. HERE). Of the 200+ people, I was probably the only one who made zero positive contribution to the fascinating weekend and therefore wasted a place, so although it was a fantastic experience for me the organisers should not invite me back and I feel guilty about the person who could not go because I was there. At least I can let others know about some of the things discussed… (Although it was theoretically ‘on the record unless stated otherwise’, I could tell that many scientists were not thinking about this and so I have left out some things that I think they would not want attributed. Given they were not experienced politicians being interviewed but scientists at a scientific conference, I’m erring on the side of caution, particularly given the subjects discussed.)

It was very interesting to see many of the people whose work I mentioned in my essay and watch them interacting with each other – intellectually and psychologically / physically.

I will describe some of the things that struck me though, because there are about 7-10 sessions going on simultaneously, this is only a small snapshot.

In my essay, I discuss some of the background to many of these subjects so I will put references [in square brackets] so people can refer to it if they want.

Please note that below I am reporting what I think others were saying – unless it is clear, I am not giving my own views. On technical issues, I do not have my ‘own’ views – I do not have relevant skills. All I can do is judge where consensus lies and how strong it is. Many important issues involve asking at least 1) is there a strong scientific consensus on X among physical scientists with hard quantitative data to support their ideas (uber-example, the Standard Model of particle physics), b) what are the non-science issues, such as ‘what will it cost, who pays/suffers and why?’ On A, I can only try to judge what technically skilled people think. B is a different matter.

Whether you were there or not, please leave corrections / additions / questions in the comments box. Apologies for errors…

In a nutshell, a few likely scenarios / ideas, without spelling out caveats… 1) Extinct species are soon going to be brought back to life and the same technology will be used to modify existing species to help prevent them going extinct. 2) CRISPR  – a new gene editing technology – will be used to cure diseases and ‘enhance’ human performance but may also enable garage bio-hackers to make other species extinct. 3) With the launch of satellites in 2017/18, we may find signs of life by 2020 among the ~1011 exoplanets we now know exist just in our own galaxy though it will probably take 20-30 years, but the search will also soon get crowdsourced in a way schools can join in. 4) There is a reasonable chance we will have found many of the genes for IQ within a decade via BGI’s project, and the rich may use this information for embryo selection. 5) ‘Artificial neural networks’ are already outperforming humans on various pattern-recognition problems and will continue to advance rapidly. 6) Automation will push issues like a negative income tax onto the political agenda as millions lose their jobs to automation. 7) Autonomous drones will be used for assassinations in Europe and America shortly. 8) Read Neil Gershenfeld’s book ‘FAB’ if you haven’t and are interested in science education / 3D printing / computer science (or at least watch his TED talks). 9) Scientists are desperate to influence policy and politics but do not know how.

Biological engineering / computational biology / synthetic biology [Section 4]

George Church (Harvard), a world-leading biologist, spoke at a few sessions and his team’s research interests were much discussed.  (Don’t assume he said any specific thing below.)

The falling cost of DNA sequencing continues to spur all sorts of advances. It has fallen from a billion dollars per genome a decade ago to less than a thousand dollars now (a million-fold improvement), and the Pentagon is planning on it reaching $100 soon. We can also sequence cancer cells to track their evolution in the body.

CRISPR. CRISPR is a new (2012) and very hot technology that is a sort of ‘cut and paste’ gene editing tool. It allows much more precise and effective engineering of genomes. Labs across America are rushing to apply it to all sorts of problems. In March this year, it was used to correct faulty genes in mice and cure them of a liver condition. It plays a major part in many of the biological issues sketched below.

‘De-extinction’ (bringing extinct species back to life). People are now planning the practical steps for de-extinction to the extent that they are scoping out land in Siberia where woolly mammoths will roam. As well as creating whole organisms, they will also grow organs modified by particular genes to test what specific genes and combinations do. This is no longer sci-fi – it is being planned and is likely to happen. The buffalo population was recently re-built (Google serves buffalo burgers in its amazing kitchens) from a tiny population to hundreds of thousands and there seems no reason to think it is impossible to build a significant population from scratch.

What does this mean? You take the DNA from an animal, say a woolly mammoth buried in the ground, sequence it, then use the digitised genome to create an embryo and either grow it in a similar animal (e.g. elephant for a mammoth) or in an artificial womb. (I missed the bit explaining the rationale for some of the proposed projects but, apart from the scientific reasons, one rationale for the mammoth was described as a conservation effort to preserve the frozen tundra and prevent massive amounts of greenhouse gases being released from beneath it.)

There are also possibilities of using this technology for conservation. For example, one could re-engineer the Asian elephant so that it could survive in less hospitable climates (e.g. modify the genes that produce haemoglobin so it is viable in colder places).

Now that we have sequenced the genome for Neanderthals (and learned that humans interbred with them, so you have traces of their DNA – unless you’re an indigenous sub-Saharan African), there is no known physical reason why we could not bring a Neanderthal back to life once the technology has been refined on other animals. This obviously raises many ethical issues – e.g. if we did it, they would have to be given the same legal rights as us (one distinguished person said that if there were one in the room with us we would not notice, contra the pictures often used to illustrate them). It is assumed by many that this will happen (nobody questioned the assumption) – just as it seemed to be generally assumed that human cloning will happen – though probably not in a western country but somewhere with fewer legal restrictions, after the basic technologies have been refined. (The Harvard team gets emails from women volunteering to be the Neanderthal’s surrogate mum.)

‘Biohacking’. Biohacking is advancing faster than Moore’s Law. CRISPR editing will allow us to enhance ourselves. E.g. Tibetans have evolved much more efficient systems for coping with high altitude, and some Africans have much stronger bones than the rest of us (see below). Will we reengineer ourselves to obtain these advantages? CRISPR obviously also empowers all sorts of malevolent actors too – cf. this very recent paper (by Church et al). It may soon be possible for people in their garages to edit genomes and accidentally or deliberately drive species to extinction as well as attempt to release deadly pathogens. I could not understand why people were not more worried about this – I hope I was missing a lot. (Some had the attitude that ‘nature already does bio-terrorism’ so we should relax. I did not find this comforting and I’m sure I am in the majority so for anybody influential reading this I would strongly advise you not to use this argument in public advocacy or it is likely to accelerate calls for your labs to be shut down.)

‘Junk’. There is more and more analysis of what used to be called ‘junk DNA’. It is now clear that far from being ‘junk’ much of this has functions we do not understand. This connects to the issue that although we sequenced the human genome over a decade ago, the quality of the ‘reference’ version is not great and (it sounded like from the discussions) it needs upgrading.

‘Push button’ cheap DNA sequencers are around the corner. Might such devices become as ubiquitous as desktop printers? Why doesn’t someone create a ‘gene web browser’ that can cope with all the different data formats for genomes?

Privacy. There was a lot of talk about ‘do you want your genome on the web?’. I asked a quick informal pop quiz (someone else’s idea): there was unanimity that ‘I’d much rather my genome was on the web than my browsing history’. [UPDATE: n<10 and perhaps they were tongue in cheek!? One scientist pointed out in a session that when he informed his insurance company, after sequencing his own genome, that he had a very high risk of getting colon cancer, they raised his premiums. There are all sorts of reasons one would want to control genomic information and I was being a bit facetious.]

In many ways, computational biology and synthetic biology have that revolutionary feeling of the PC revolution in the 1970s – huge energy, massive potential for people without big resources to make big contributions, the young crowding in, the feeling of dramatic improvements imminent. Will this all seem ‘too risky’? It’s hard to know how the public will respond to risk. We put up with predictable annual carnage from car accidents but freak out over trivia. We ignore millions of deaths in the Congo but freak out over a handful in Israel/Gaza. My feeling is some of the scientists are too blasé about how the public will react to the risks, but I was wrong about how much fear there would be about the news that scientists recently deliberately engineered a much more dangerous version of an animal flu.

AI / machine learning / neuroscience [Section 5].

Artificial neural networks (NNs), now often referred to as ‘deep learning’, were first created 50 years ago but languished for a while when progress slowed. The field is now hot again. (Last year Google bought some companies leading the field, and a company, Boston Dynamics, that has had a long-term collaboration with DARPA.)

Jurgen Schmidhuber explained progress and how NNs have recently approached or surpassed human performance in various fields. E.g. recently NNs have surpassed human performance in recognising traffic signals (0.56% error rate for the best NN versus 1.16% for humans). Progress in all sorts of pattern recognition problems is clearly going to continue rapidly. E.g. NNs are now being used to automate a) the analysis of scans for cancer cells and b) the labelling of scans of human brains – so artificial neural networks are now scanning and labelling natural neural networks.

Steve Hsu has blogged about this session here:

http://infoproc.blogspot.co.uk/2014/08/neural-networks-and-deep-learning.html?m=1

Michael Nielsen is publishing an education project online for people to teach themselves the basics of neural networks. It is brilliant and I would strongly advise teachers reading this blog to consider introducing it into their schools and doing the course with the pupils.

http://neuralnetworksanddeeplearning.com

Neil Gershenfeld (MIT) gave a couple of presentations. One was on developments in computer science connecting: non-‘von Neumann architecture’, programmable matter, 3D printing, ‘the internet of things’ etc. [Cf. Section 3.] NB. IBM announced this month substantial progress in their quest for a new computer architecture that is ‘non-Von Neumann’: cf. this –

http://venturebeat.com/2014/08/07/ibms-synapse-marshals-the-power-of-the-human-brain-in-a-computer/view-all/

Another was on the idea of an ‘interspecies internet’. We now know many species can recognise each other, think, and communicate much better than we realised. He showed bonobos playing music with Peter Gabriel and dolphins communicating. He and others are plugging them into the internet. Some are doing this to help the general goal of figuring out how we might communicate with intelligent aliens – or how they might communicate with us.

(Gershenfeld’s book FAB led me to push 3D printing into the new National Curriculum and I would urge school science teachers to watch his TED talks and read this book. [INSERTED LATER: Some people have asked about this point. I (I thought obviously) did not mean I wrote the NC document. I meant – I pushed the subject into the discussions with the committees/drafters who wrote the NC. Experts in the field agreed it belonged. When it came out, this was not controversial. We also funded pilots with 3D printers so schools could get good advice about how to teach the subject well.] His point about 3D printers restoring the connection between thinking and making – lost post-Renaissance – is of great importance and could help end the foolishly entrenched ‘knowledge’ vs ‘skills’ and academic vs vocational trench wars. Gove actually gave a speech about this not long before he was moved and as far as I could tell it got less coverage than any speech he ever gave, thus proving the cliché about speeches on ‘skills’.)

There were a few presentations about ‘computational neuroscience’. I could not understand anything much as they were too technical. It was clear that there is deep concern among EU neuroscientists about the EU’s  huge funding for Henry Markram’s Human Brain Project. One leading neuroscientist said to me that the whole project is misguided as it does not have clear focused goals and the ‘overhype’ will lead to public anger in a few years. Apparently, the EU is reconsidering the project and its goals. I have no idea about the merits of these arguments. I have a general prejudice that, outside special circumstances, experience suggests that it is better to put funding into many pots and see what works, as DARPA does.

There are all sorts of crossovers between: AI / neuroscience / big data / NNs / algorithmic pattern recognition in other fields.

Peter Norvig, a leader in machine intelligence, said that he is more worried about the imminent social implications of continued advances making millions unemployed than he is about a sudden ‘Terminator / SKYNET’ scenario of a general purpose AI bootstrapping itself to greater than human intelligence and exterminating us all. Let’s hope so. It is obvious that this field is going to keep pushing boundaries – in open, commercial, and classified projects – so we are essentially going to be hoping for the best as we make more and more advances in AI. The idea of a ‘negative income tax’ – or some other form of essentially paying people X just to live – seems bound to return to the agenda. I think it could be a way around all sorts of welfare arguments. The main obstacle, it seems to me, is that people won’t accept paying for it if they think uncontrolled immigration will continue as it is now.

Space [Section 2]

There was great interest in various space projects and some senior people from NASA. There is much sadness at how NASA, despite many great people, has become a normal government institution – ie. caught in DC politics, very bureaucratic, and dysfunctional in various ways. On the other hand, many private ventures are now growing. E.g. Elon Musk is lowering the $/kg of getting material into orbit and planning a non-government Mars mission. As I said in my essay, really opening up space requires a space economy – not just pure science and research (such as putting telescopes on the far side of the moon, which we obviously should do). Columbus opened up America – not the Vikings.

There is another obvious motive. As Carl Sagan said, if the dinosaurs had had a space programme, they’d still be here. In the long-term we either develop tools for dealing with asteroids or we will be destroyed. We know this for sure. I think I heard that NASA is planning to park a small asteroid close to the moon around 2020 but I may have misheard / misunderstood.

Mario Livio led a great session on the search for life on exoplanets. The galaxy has ~1011 stars and there is ~1 planet on average per star. There are ~1011 galaxies, so a Fermi estimate is there are ~1022 planets – 10 billion trillion planets – in the observable universe (this number is roughly 1,000 times bigger than the number you get in the fable of putting a grain of rice on the first square of a chessboard and doubling on each subsequent square). Many of them are in the ‘habitable zone’ around stars.

In 2017/18, there are two satellites launching that will be able to do spectroscopy on exoplanets – i.e. examine their atmospheres and detect things like oxygen and water. ‘If we get lucky’, these satellites will find ‘bio-signatures’ of life. If they find life having looked at only a few planets, then it would mean that life is very common. ‘More likely’ is it will take 20-30 years and a new generation of space-based telescopes to find life. If planets are found with likely biosignatures, then it would make sense to turn SETI’s instruments towards them to see if they find anything. (However, we are already phasing out the use of radio waves for various communications – perhaps the use of radio waves is only a short window in the lifetime of a civilisation.) There are complex Bayesian arguments about what we might infer about our own likely future given various discoveries but I won’t go into those now. (E.g. if we find life is common but no traces of intelligent life, does this mean a) the evolution of complex life is not a common development from simple life; b) intelligent life is also common but it destroys itself; c) they’re hiding, etc.)

A very impressive (and helpful towards the ignorant like me) young scientist working on exoplanets called Oliver Guyon demonstrated a fascinating project to crowdsource the search for exoplanets by building a global network of automated cameras – PANOPTES (www.projectpanoptes.org). His team has built a simple system that can find exoplanets using normal digital cameras costing less than $1,000. They sit in a box connected to a 12V power supply, automatically take pictures of the night sky every few seconds, then email the data to the cloud. There, the data is aggregated and algorithms search for exoplanets. These units are cheap (can’t remember what he said but I think <$5,000). Everything is open-source, open-hardware. They will start shipping later this year and will make a brilliant school science project. Guyon has made the project with schools in mind so that assembling and operating the units will not require professional level skills. They are also exploring the next move to connect smartphone cameras.

Building the >15m diameter space telescopes we need to search for life seems to me an obvious priority for scientific budgets –  it is one of the handful of the most profound questions facing us.

There was an interesting cross-over discussion about ‘space and genetics’ in which people discussed various ways in which space exploration would encourage / require genetic modification. E.g.1 some sort of rocket fuel has recently been discovered to exist in large quantities on Mars. This is very handy but the substance is toxic. It might therefore make sense to modify humans going to live on Mars to be resistant. E.g.2 Space travel weakens bones. It has been discovered that mutations in the human population can improve bone strength by 8 standard deviations. This is a massive improvement – for comparison, 8 SDs in IQ covers people from severely mentally disabled to Nobel-winners. This was discovered by a team of scientists in Africa who noticed that people in a local tribe who got hit by cars did not suffer broken bones, so they sequenced the locals’ genomes. (Someone said there have already been successful clinical trials testing this discovery in a real drug to deal with osteoporosis.) E.g.3 Engineering E. Coli shows that just four mutations can improve resistance to radiation by ?1,000 times (can’t read my note).

Craig Venter and others are thinking about long-term projects to send ‘von Neumman-bots’ (self-replicating space drones) across the universe containing machines that could create biological life once they arrive somewhere interesting, thus avoiding the difficult problems of keeping humans alive for thousands of years on spaceships. (Nobel-winning physicist Gerard t’ Hooft explains the basic principles of this in his book Playing with planets.)

This paper (August 2014) summarises issues in the search for life:

http://www.pnas.org/content/early/2014/08/01/1304213111.full.pdf

Finding the genes for IQ and engineering possibilities [Section 5].

When my essay came out last year, there was a lot of mistaken reporting that encouraged many in the education world to grab the wrong end of the stick about IQ, though the BBC documentary about the controversy (cf. below) was excellent and a big step forward. It remains the case that very few people realise that in the last couple of years direct examination of DNA has now vindicated the consistent numbers on IQ heritability from decades of twin/adoption studies.

The rough heritability numbers for IQ are no longer in doubt among physical scientists who study this field: it is roughly 50% heritable at age ~18-20 and this number rises towards 70-80% for older adults. This is important because IQ is such a good predictor of the future – it is a better predictor than social class. E.g. The long-term Study of Mathematically Precocious Youth, which follows what has happened to children with 1:10,000 ability, shows among many things that a) a simple ‘noisy’ test administered at age 12-13 can make amazingly accurate predictions about their future, and b) achievements such as scientific breakthroughs correlate strongly with IQ. (If people looked at the data from SMPY, then I think some of the heat and noise in the debate  would fade but it is a sad fact that approximately zero senior powerful people in the English education world had even heard of this study before the furore over Plomin last year.)

Further, the environmental effects that are important are not the things that people assume. If you test the IQ of an adopted child in adulthood and the parents who adopted it, you find approximately zero correlation – all those anguished parenting discussions had approximately no measurable impact on IQ. (This does not mean that ‘parenting doesn’t matter’ – parents can transfer narrow skills such as playing the violin.) In the technical language, the environmental effects that are important are ‘non-shared’ environmental effects – i.e. they are things that two identical twins do not experience in the same way. We do not know what they are. It is reasonable to think that they are effectively random tiny events with nonlinear effects that we may never be able to track in detail – cf. this paper for a discussion of this issue in the context of epidemiology: http://ije.oxfordjournals.org/content/40/3/537.full.pdf+html

There remains widespread confusion on this subject among social scientists, education researchers, and the worlds of politics and the media where people were told misleading things in the 1980s and 1990s and do not realise that the debates have been transformed. To be fair, however, it was clear from this weekend that even many biologists do not know about new developments in this field so it is not surprising that political journalists and education researchers do not.

(An example of confusion in the political/media world… In my essay, I used the technical term ‘heritable’ which is a population statistic – not a statement about an individual. I also predicted that media coverage would confuse the subject (e.g. by saying things like ‘70% of your IQ comes from genes’). Sure enough some journalists claimed I said the opposite of what I actually said then they quoted scientists attacking me for making a mistake that not only did I not make but which I actually warned about. Possibly the most confused sentence of all those in the media about my essay was the line ‘wealth is more heritable than genes’, which was in Polly Toynbee’s column and accompanying headline in the Guardian. This sentence is a nonsense sentence as it completely mangles the meaning of the term ‘heritable’. Much prominent commentary from politicians and sociologists/economists on ‘social mobility’ is gibberish because of mistaken assumptions about genes and environment. The Endnote in my essay has links to work by Plomin, Hsu et al that explains it all properly. This interview with Plomin is excellent: http://www.spectator.co.uk/features/8970941/sorry-but-intelligence-really-is-in-the-genes/. This recent BBC radio programme is excellent and summarises the complex issues well: http://www.bbc.co.uk/programmes/b042q944/episodes/guide)

I had a fascinating discussion/tutorial at SciFoo with Steve Hsu. Steve Hsu is a professor of theoretical physics (and successful entrepreneur) with a long interest in IQ (he also runs a brilliant blog that will keep you up to speed on all sorts). He now works part time on the BGI project in China to discover the genes responsible for IQ.

IQ is very similar to height from the perspective of behavioural genetics. Height has the advantage that it is obviously easier to measure than IQ but it has roughly the same heritability. Large scale GWAS are already identifying some of the genes responsible for height. Hsu recently watched a talk by Fields Medallist Terry Tao and realised that a branch of maths could be used to examine the question – how many genomes do we need to scan to identify a substantial number of the genes for IQ? His answer: ‘roughly 10k moderately rare causal variants of mostly negative effect are responsible for normal population variation’ and finding them will require sequencing roughly a million genomes. The falling cost of sequencing DNA means that this is within reach. ‘At the time of this writing SNP genotyping costs are below $50 USD per individual, meaning that a single super-wealthy benefactor could independently fund a crash program for less than $100 million’ (Hsu).

The BGI project to find these genes has hit some snags recently (e.g. a US lawsuit between the two biggest suppliers of gene sequencing machines). However, it is now expected to start again soon. Hsu thinks that within a decade we could find many of the genes responsible for IQ. He has just put his fascinating paper on this subject on his blog (there is also a Q&A on p.27 that will be very useful for journalists):

http://infoproc.blogspot.co.uk/2014/08/genetic-architecture-of-intelligence.html

Just discovering a substantial fraction of the genes would be momentous in itself but there is more. It is already the case that farmers use genomes to make predictions about cows’ properties and behaviour (‘genotype to phenotype’ predictions). It is already the case that rich people could use in vitro fertilisation to select the egg which they think will be most advantageous, because they can sequence genomes of multiple eggs and examine each one to look for problems then pick the one they prefer. Once we identify a substantial number of IQ genes, there is no obvious reason why rich people will not select the egg that has the highest prediction for IQ. 

This clearly raises many big questions. If the poor cannot do the same, then the rich could quickly embed advantages and society could become not only more unequal but also based on biological classes. One response is that if this sort of thing does become possible, then a national health system should fund everybody to do this. (I.e. It would not mandate such a process but it would give everybody a choice of whether to make use of it.) Once the knowledge exists, it is hard to see what will stop some people making use of it and offering services to – at least – the super-rich.

It is vital to separate two things: a) the basic science of genetics and cognition (which must be allowed to develop), and b) the potential technological applications and their social implications. The latter will rightly make people deeply worried, given our history, and clearly require extremely serious public debate. One of the reasons I wrote my essay was to try to stimulate such debate on the biggest – and potentially most dangerous – scientific issues. By largely ignoring such issues, Westminster, Whitehall, and the political media are wasting the time we have to discuss them so technological breakthroughs will be unnecessarily  shocking when they come.

Hsu’s contribution to this research – and his insight when listening to Tao about how to apply a branch of mathematics to a problem – is also a good example of how the more abstract fields of maths and physics often make contributions to the messier study of biology and society. The famous mathematician von Neumann practically invented some new fields outside maths and made many contributions to others. The physicist-mathematician Freeman Dyson recently made a major contribution to Game Theory which had lain unnoticed for decades until he realised that a piece of maths could be applied to uncover new strategies (Google “Dyson zero determinant strategies” and cf. this good piece: http://www.americanscientist.org/issues/id.16112,y.0,no.,content.true,page.1,css.print/issue.aspx).

However, this also raises a difficult issue. There is a great deal of Hsu’s paper – and the subject of IQ and heritability generally – that I do not have the mathematical skills to understand. This will be true of a large fraction of education researchers in education departments – I would bet a large majority. This problem is similar for many other vital issues (and applies to MPs and their advisers) and requires general work on translating such research into forms that can be explained by the media.

Kathryn Ashbury also did a session on genes and education but I went to a conflicting one with George Church so unfortunately I missed it.

‘Big data’, simulations, and distributed systems [Section 6&7]

The rival to Markram’s Brain Project for mega EU funding was Dirk Helbing (ETH Zurich) and his project for new simulations to aid policy-making. Helbing was also at SciFoo and gave a couple of presentations. I will write separately about this.

Helbing says convincingly: ‘science must become a fifth pillar of democracies, besides legislation, executive, jurisdiction, and the public media’. Many in politics hope that technology will help them control things that now feel out of control. This is unlikely. The amount of data is growing at a faster rate than the power of processing and the complexity of networked systems grows factorially therefore top-down control will become less and less effective.

The alternative? ‘Distributed (self-)control, i.e. bottom-up self-regulation’. E.g. Helbing’s team has invented self-regulating traffic lights driven by traffic flows that can ‘outperform the classical top-down control by a conventional traffic center.’

‘Can we transfer and extend this principle to socio-economic systems? Indeed, we are now developing mechanisms to overcome coordination and cooperation failures, conflicts, and other age-old problems. This can be done with suitably designed social media and sensor networks for real-time measurements, which will eventually weave a Planetary Nervous System. Hence, we can finally realize the dream of self-regulating systems… [S]uitable institutions such as certain social media – combined with suitable reputation systems – can promote other-regarding decision-making. The quick spreading of social media and reputation systems, in fact, indicates the emergence of a superior organizational principle, which creates collective intelligence by harvesting the value of diversity…’

His project’s website is here:

http://www.futurict.eu

I wish MPs and spads in all parties would look at this project and Helbing’s work. It provides technologically viable and theoretically justifiable mechanisms to avoid the current sterile party debates about delivery of services. We must move from Whitehall control to distributed systems…

Science and politics

Unsurprisingly, there was a lot of grumbling about politicians, regulation, Washington gridlock, bureaucracy and so on.

Much of it is clearly justified. Some working in genetics had stories about how the regulations forbid them to tell people about imminently life threatening medical problems they discover. Others were bemoaning the lack of action on asteroid defence and climate change.

Some of these problems are inherently extremely difficult, as I discuss in my essay. On top of this, though, is the problem that many (most?) scientists do not know how to go about changing things.

It was interesting that some very eminent scientists, all much cleverer than ~100% of those in politics [INSERT: better to say ‘all with higher IQ than ~100% of those in politics’], have naive views about how politics works. In group discussions, there was little focused discussion about how they could influence politics better even though it is clearly a subject that they care about very much. (Gershenfeld said that scientists have recently launched a bid to take over various local government functions in Barcelona, which sounds interesting.)

A few times I nearly joined in the discussion but I thought it would disrupt things and distract them. In retrospect, I think this may have been a mistake and I should have spoken up. But also I am not articulate and I worried I would not be able to explain their errors and it would waste their time.

I will blog on this issue separately. A few simple observations…

To get things changed in politics, scientists need mechanisms a) to agree priorities in order to focus their actions on b) roadmaps with specifics. Generalised whining never works. The way to influence politicians is to make it easy for them to fall down certain paths without much thought, and this means having a general set of goals but also a detailed roadmap the politicians can apply, otherwise they will drift by default to the daily fog of chaos and moonlight.

Scientists also need to be prepared to put their heads above the parapet and face controversy. Many comments amounted to ‘why don’t politicians do the obviously rational thing without me having to take a risk of being embroiled in media horrors’. Sorry guys but this is not how it works.

Many academics are entirely focused on their research and do not want to lose time to politics. This is entirely reasonable. But if you won’t get involved you can have little influence other than lending your name to the efforts of others.

Working in the Department for Education, I have experienced in England that very few scientists were prepared to face controversy over the issue of A Levels (exams at 18) and university entry / undergraduate standards even though this problem directly affected their own research area. Many dozens sought me out 2007-14 to complain about existing systems. I can count on the fingers of one hand those who rolled the dice and did things in the public domain that could have caused them problems. I have heard many scientists complain about media reports but when I’ve said – ‘write a blog explaining why they’re wrong’, the answer is almost invariably ‘oh, the VC’s office would go mad’. If they won’t put their heads above the parapet on an issue that directly touches their own subject and career, how much are they likely to achieve in moving political debate in areas outside their own fields?

Provided scientists a) want to avoid controversy and b) are isolated, they cannot have the leverage they want. The way to minimise controversy is to combine in groups – for the evolutionary biologists reading this, think SHOALS! – so that each individual is less exposed. But you will only join a shoal if you agree a common purpose.

I’m going to do a blog on ‘How scientists can learn from Bismarck and Jean Monnet to influence politics‘. Monnet avoided immediate battles for power in favour of ‘preparing the future’ – i.e. having plans in his pocket for when crises hit and politicians were desperate. He created the EEC in this way. In the same way people find it extremely hard to operationalise the lessons of Thucydides or Bismarck, they do not operationalise the lessons from Monnet. It would be interesting if scientists did this in a disciplined way. In some ways, it seems to me vital if we are to avoid various disasters. It is also necessary, however, to expose scientists to the non-scientific factors in play.

Anyway, it would be worth exploring this question: can very high IQ people with certain personality traits (like von Neumann, not like Gödel) learn enough in half a day’s exposure to case studies of successful political action to enable them to change something significant in politics, provided someone else can do most of the admin donkey work? I’m willing to bet the answer is YES. Whether they will then take personal risks by ACTING is another question.

A physicist remarked: ‘we’re bitching about politicians but we can’t even sort out our own field of scientific publishing which is a mess’.

NB. for scientists who haven’t read anything I’ve read before, do not make the mistake of thinking I am defending politicians. If you read other stuff I’ve written you will see that I have made all the criticisms that you have. But that doesn’t mean that scientists cannot do much better than they are at influencing policy.

A few general comments

1. It has puzzled me for over a decade that a) one of the few things the UK still has that is world class is Oxbridge, b) we have the example of Silicon Valley and our own history of post-1945 bungling to compare it with (e.g. how the Pentagon treated von Neumann and how we treated Turing viz the issue of developing computer science), yet c) we persistently fail to develop venture capital-based hubs around Oxbridge on the scale they deserve. As I pottered down University Avenue in Palo Alto looking for a haircut, past venture capital offices that can provide billions in start-up investment, I thought: you’ve made a few half-hearted attempts to persuade people to do more on this, when you get home try again. So I will…

2. It was interesting to see how physicists have core mathematical skills that allow them to grasp fundamentals of other fields without prior study. Watching them reminded me of Mandelbrot’s comment that:

‘It is an extraordinary feature of science that the most diverse, seemingly unrelated, phenomena can be described with the same mathematical tools. The same quadratic equation with which the ancients drew right angles to build their temples can be used today by a banker to calculate the yield to maturity of a new, two-year bond. The same techniques of calculus developed by Newton and Leibniz two centuries ago to study the orbits of Mars and Mercury can be used today by a civil engineer to calculate the maximum stress on a new bridge… But the variety of natural phenomena is boundless while, despite all appearances to the contrary, the number of really distinct mathematical concepts and tools at our disposal is surprisingly small… When we explore the vast realm of natural and human behavior, we find the most useful tools of measurement and calculation are based on surprisingly few basic ideas.’

3. High status people have more confidence in asking basic / fundamental / possibly stupid questions. One can see people thinking ‘I thought that but didn’t say it in case people thought it was stupid and now the famous guy’s said it and everyone thinks he’s profound’. The famous guys don’t worry about looking stupid and they want to get down to fundamentals in fields outside their own.

4. I do not mean this critically but watching some of the participants I was reminded of Freeman Dyson’s comment:

‘I feel it myself, the glitter of nuclear weapons. It is irresistible if you come to them as a scientist. To feel it’s there in your hands. To release the energy that fuels the stars. To let it do your bidding. And to perform these miracles, to lift a million tons of rock into the sky, it is something that gives people an illusion of illimitable power, and it is in some ways responsible for all our troubles, I would say, this is what you might call ‘technical arrogance’ that overcomes people when they see what they can do with their minds.’ 

People talk about rationales for all sorts of things but looking in their eyes the fundamental driver seems to be – am I right, can I do it, do the patterns in my mind reflect something real? People like this are going to do new things if they can and they are cleverer than the regulators. As a community I think it is fair to say that outside odd fields like nuclear weapons research (which is odd because it still requires not only a large collection of highly skilled people but also a lot of money and all sorts of elements that are hard (but not impossible) for a non-state actor to acquire and use without detection), they believe that pushing the barriers of knowledge is right and inevitable. Fifteen years on from the publication by Silicon Valley legend Bill Joy of his famous essay (‘Why the future doesn’t need us’), it is clear that many of the things he feared have proceeded and there remains no coherent government approach or serious international discussion. (I am not suggesting that banning things is generally the way forward.)

5. The only field where there was a group of people openly lobbying for something to be made illegal was the field of autonomous lethal drones. (There is a remorseless logic that means that countermeasures against non-autonomous drones (e.g. GPS-spoofing) incentivises one to make one’s drones autonomous. They can move about waiting to spot someone’s face then destroy them without any need for human input.) However, the discussion confirmed my view that even if this might be a good idea – it is doomed, in the short-term at least. I wonder what is to stop someone sending a drone swarm across the river and bombing Parliament during PMQs. Given it will be possible to deploy autonomous drones anonymously, it seems there may be a new era of assassinations coming, apart from all the other implications of drones. Given one may need a drone swarm to defend against drone swarm, I can’t see them being outlawed any time soon. (Cf. Suarez’s Kill Decision for a great techno-thriller on the subject.)

(Also, I thought that this was an area where those involved in cutting edge issues could benefit from talking to historians. E.g. my understanding is that we filmed the use of anthrax on a Scottish island and delivered the footage to the Nazis with the message that we would anthrax Germany if they used chemical weapons – i.e. the lack of chemical warfare in WWII was a case of successful deterrence, not international law.)

6. A common comment is – ‘technology X [e.g. in vitro fertilisation] was denounced at the time but humans adapt to such changes amazingly fast, so technology Y will be just the same’. This is a reasonable argument in some ways but I cannot help but think that many will think de-extinction, engineered bio-weapons, or human clones are going to be perceived as qualitative changes far beyond things like in vitro fertilisation.

7. Daniel Suarez told me what his next techno-thriller is about but if I put it on my blog he will deploy an autonomous drone with face recognition AI to kill me, so I’m keeping quiet. If you haven’t read Daemon, read it – it’s a rare book that makes you laugh out loud about how clever the plot is.

8. Von Neumann was heavily involved not only in the Manhattan Project but also the birth of the modern computer, the creation of the hydrogen bomb, and nuclear strategy. Before his tragic early death, he wrote a brilliant essay about the political problem of dealing with advanced technology which should be compulsory reading for all politicians aspiring to lead. It summarises the main problems that we face – ‘for progress, there is no cure…’

http://features.blogs.fortune.cnn.com/2013/01/13/can-we-survive-technology/

As I said at the top, any participants please tell me where I went wrong, and thanks for such a wonderful weekend.

Wargame predictions from 2010 – how well did the Cameroons do?

Going through papers and emails today from my time in the DfE to write The Hollow Men Part II (hopefully tomorrow), I found this doc, link below. It’s only one page.

In autumn 2010, James Frayne organised a wargame in Westminster to consider the likely dynamics of the next five years. I was one of about 20-30 participants.

At the end, I jotted down a summary of conclusions that came out of it.

I thought it may be of interest to some of those who took part in it but I can’t remember who most of them were, so here it is… Pass it on if you were there.

Do leave comments or a scoreboard below.

Of the 17, how many did the Cameroons come out ahead on?

The PDF is HERE.