Edge Master Class 2015: A Short Course in Superforecasting, Class V

Condensing it All Into Four Big Problems and a Killer App Solution Philip Tetlock [9.22.15]

 


Edge Master Class 2015 with Philip Tetlock
— A Short Course in Superforecasting
 —

| Class 1Class 2 | Class 3 | Class 4 | Class 5 |


Philip Tetlock:  If you turn to session six, slide 117-118, you’re going to see a little piece on the seductive power of scenarios. Imagine you’ve got one of these between subjects designs in which half of the people read the top slide, half of the people read the bottom slide, then they make a judgment about the plausibility or probability of this outcome.

Edge Master Class 2015: A Short Course in Superforecasting, Class IV

Skillful Backward and Forward Reasoning in Time: Superforecasting Requires "Counterfactualizing" Philip Tetlock [9.15.15]

 


Edge Master Class 2015 with Philip Tetlock
— A Short Course in Superforecasting
 —

| Class 1Class 2 | Class 3 | Class 4 | Class 5 |


Philip Tetlock:    What I want to do today is three things: I want to clear up some confusion from last time about counterfactual reasoning and how it’s intertwined with superforecasting; I want to link up some of the things that are in the final sets of slides on sacred values and taboo cognition and superforecasting; Then, I want to give you some examples of superforecasting in action and talk about condensing it all into four big problems and one killer app solution.

Edge Master Class 2015: A Short Course in Superforecasting, Class III

Counterfactual History: The Elusive Control Groups in Policy Debates Philip Tetlock [9.1.15]

 


Edge Master Class 2015 with Philip Tetlock
— A Short Course in Superforecasting
 —

| Class 1Class 2 | Class 3 | Class 4 | Class 5 |


Philip Tetlock:   I was thinking over lunch about how to summarize or capture the essence of what went on this morning. There were certain key ideas I wanted to get across and for the most part they’ve gotten across, but some may have been miscommunicated a bit based on some feedback I’ve gotten.

You can look at the glass as either one-third full or two-thirds empty. Forecasting tournaments are in their infancy as a scientific method and as a tool for improving policy debate. We’ve gone through the first generation of tournaments, and we’ve made tangible progress. We’ve learned how to keep score; we have shown that it’s possible to measure the accuracy of probabilistic judgments, of messy real world events; we have shown that it’s possible to improve accuracy through a combination of selecting the right people, training them, teaming them, and using the right types of aggregation algorithms. Those are all achievements, but we’re still far short of what I’m going to call the “Bob Axelrod ideal” of a mechanism that can guide policy with evidence based precision. I don’t know if that’s a fair characterization of where you would want us to be, but we’re at least two-thirds short of that. We have made some progress, and we’re on the right path.

Edge Master Class 2015: A Short Course in Superforecasting, Class II

Tournaments: Prying Open Closed Minds in Unnecessarily Polarized Debates Philip Tetlock [8.24.15]

 


Edge Master Class 2015 with Philip Tetlock
— A Short Course in Superforecasting
 —

| Class 1 | Class 2 | Class 3 | Class 4 | Class 5 |

Philip Tetlock:    I thought it might be a good idea before we go into the quality of questions that are input into tournaments to say a few more words about the nature of the Good Judgment Project and what it meant to win the forecasting tournament, how it won the forecasting tournament, and what inferences you might or might not want to draw from victory in forecasting tournaments in general.

If you were to turn to slide twenty-eight in the book, it raises the question, how much can the Good Judgment Project improve foresight?

Edge Master Class 2015: Philip Tetlock: A Short Course in Superforecasting

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INTRODUCTION
On the weekend of July 30th, Edge convened one of its "Master Classes." In the past, these classes have featured short courses taught by people such as psychologist and Nobel Laureate Daniel Kahneman ("A Short Course in Thinking About Thinking"); behavioral economists Richard Thaler and Sendhil Mullainathan, again with Kahneman ("A Short Course in Behavioral Economics"); and genomic researchers George Church and J. Craig Venter ("A Short Course on Synthetic Genomics").

This year, the psychologist and social scientist Philip E. Tetlock presented the findings based on his work on forecasting as part of the Good Judgment Project. In 1984, Tetlock began holding "forecasting tournaments" in which selected candidates were asked questions about the course of events: In the wake of a natural disaster, what policies will be changed in the United States? When will North Korea test nuclear weapons? Candidates examine the questions in teams. They are not necessarily experts, but attentive, shrewd citizens.

Steven Pinker, who has written about Tetlock's work on Superforecasting, noted that "Tetlock is one of the very, very best minds in the social sciences today. He has come up with one brilliant idea after another, and superforecasting is no exception. Everyone agrees that the way to know if an idea is right  is to see whether it accurately predicts the future. But which ideas, which methods, which people have an actual, provable track record of non-obvious predictions vindicated by the course of events? The answers will surprise you, and have radical implications for politics, policy, journalism, education, and even epistemology—how we can best gain knowledge about the world we live in."

Among Tetlock's "students" at the Edge weekend were many intellectual heavyweights including political scientist and National Medal of Science winner Robert Axelrod; psychologist, Nobel Laureate, and recipient of the 2013 Presidential Medal of Freedom Daniel Kahneman; the political scientist and Director of Stanford’s CASBS Margaret Levi; Google Senior Vice President Salar Kamangar; psychologist and National Medal of Science winner Anne Treisman; Roboticist Rodney Brooks, former head of MIT's Computer Science Lab; W. Daniel Hillis, pioneer in massively parallel computation; medical inventor Dean Kamen; and Peter Lee, Corporate Vice President, Microsoft Research, overseeing MSR NExT. 

Over the weekend in Napa, Tetlock held five classes, which are being presented by Edge in their entirety (8.5 hours of video and audio) along with accompanying transcripts (61,000 words). Commenting on the event, one of the participants wrote:

"The interesting thing is that this is not about a latest trend that might scale in one or two years, but about real change that might take a decade or two. Also, these masterclasses are not only much more profound than any of the conferences popularizing contemporary intellectualism. The possibility to spend that much time with the clairvoyants in a setting like this also gives you a sense of community so much greater than any of the advertised."

Enjoy!

Best,

John Brockman
Editor, Edge 


PHILIP E. TETLOCK, Political and Social Scientist, is the Annenberg University Professor at the University of Pennsylvania, with appointments in Wharton, psychology and political science. He is co-leader of the Good Judgment Project, a multi-year forecasting study, the author of Expert Political Judgment and (with Aaron Belkin) Counterfactual Thought Experiments in World Politics, and co-author (with Dan Gardner) of Superforecasting: The Art & Science of Prediction  (forthcoming, US, Crown, September 29th; UK, Random House, September 24th). Further reading on Edge: "How To Win At Forecasting: A Conversation with Philip Tetlock" (December 6, 2012). Philip Tetlock's Edge Bio Page.

US
UK

ATTENDEES:
Robert Axelrod, Political Scientist; Walgreen Professor for the Study of Human Understanding, U. Michigan; Author, The Evolution of Cooperation; Member, National Academy of Sciences; Recipient, the National Medal of Science; Stewart Brand, Founder, The Whole Earth Catalog; Co-Founder, The Well; Co-Founder, The Long Now Foundation; Author, Whole Earth Discipline; John Brockman, Editor, Edge; Author, The Third CultureRodney Brooks, Panasonic Professor of Robotics (emeritus), MIT; Founder, Chmn/CTO, Rethink Robotics; Author, Flesh and MachinesBrian Christian, Philosopher, Computer Scientist, Poet; Author, The Most Human HumanWael Ghonim, Pro-democracy leader of the Tarir Square demonstrations in Egypt; Anonymous administrator of the Facebook page, "We are all Khaled Saeed"; W. Daniel Hillis, Physicist; Computer Scientist; Chairman, Applied Minds; Author, The Pattern on the StoneJennifer Jacquet, Assistant Professor of Environmental Studies, NYU; Author, Is Shame Necessary?Daniel Kahneman, Professor Emeritus of Psychology, Princeton; Author, Thinking, Fast and Slow; Winner of the 2013 Presidential Medal of Freedom; Recipient of the 2002 Nobel Prize in Economic Sciences; Salar Kamangar, Senior Vice President, Google; Fmr head of YouTube; Dean Kamen, Inventor and Entrepreneur, DEKA Research;  Andrian Kreye, Feuilleton Editor, Sueddeutsche Zeitung, Munich; Peter Lee, Corp. VP, Microsoft Research; Former Founder / Director, DARPA's technology office; Former Head, Carnegie Mellon Computer Science Department & CMU's Vice Provost for Research; Margaret Levi, Political Scientist, Director, Center For Advanced Study in Behavioral Sciences (CASBS), Stanford University; Barbara Mellers, Psychologist; George Heyman University Professor at UPennsylvania; Past President, Society of Judgment and Decision Making; Ludwig Siegele, Technology Editor, The Economist; Rory Sutherland, Executive Creative Director and Vice-Chairman, OgilvyOne London; Vice-Chairman, Ogilvy & Mather UK; Columnist, The SpectatorPhilip Tetlock, Political and Social Scientist; Annenberg University Professor at UPenn; Author, Expert Political Judgment; and (with Dan Gardner) Superforecasting (forthcoming); Anne Treisman, James S. McDonnell Distinguished University Professor Emeritus of Psychology at Princeton; Recipient, National Medal of Science; D.A.Wallach, Recording Artist; Songwriter; Artist in Residence, Spotify; Hi-Tech Investor




"La Miravalle" at Spring Mountain Vineyard


The Office for Anticipating Surprise
by Andrian KreyeFeuilleton Editor
English translation by Arya Kamangar
[Click on image for English-language translation.



In the circle of clairvoyants: At a vineyard north of San Francisco, Philip Tetlock of the University of Pennsylvania (left) presented his findings. Initially skeptical was Nobel Laureate Kahneman (third from left). Photo: John Brockman / edge.org


CLASS I — Forecasting Tournaments: What We Discover When We Start Scoring Accuracy

It is as though high status pundits have learned a valuable survival skill, and that survival skill is they've mastered the art of appearing to go out on a limb without actually going out on a limb. They say dramatic things but there are vague verbiage quantifiers connected to the dramatic things. It sounds as though they're saying something very compelling and riveting. There's a scenario that's been conjured up in your mind of something either very good or very bad. It's vivid, easily imaginable.

It turns out, on close inspection they're not really saying that's going to happen. They're not specifying the conditions, or a time frame, or likelihood, so there's no way of assessing accuracy. You could say these pundits are just doing what a rational pundit would do because they know that they live in a somewhat stochastic world. They know that it's a world that frequently is going to throw off surprises at them, so to maintain their credibility with their community of co-believers they need to be vague. It's an essential survival skill. There is some considerable truth to that, and forecasting tournaments are a very different way of proceeding. Forecasting tournaments require people to attach explicit probabilities to well-defined outcomes in well-defined time frames so you can keep score.


CLASS II — Tournaments: Prying Open Closed Minds in Unnecessarily Polarized Debates

Tournaments have a scientific value. They help us test a lot of psychological hypotheses about the drivers of accuracy, they help us test statistical ideas; there are a lot of ideas we can test in tournaments. Tournaments have a value inside organizations and businesses. A more accurate probability helps to price options better on Wall Street, so they have value. 

I wanted to focus more on what I see as the wider societal value of tournaments and the potential value of tournaments in depolarizing unnecessarily polarizing policy debates. In short, making us more civilized. ... 

There is well-developed research literature on how to measure accuracy. There is not such well-developed research literature on how to measure the quality of questions. The quality of questions is going to be absolutely crucial if we want tournaments to be able to play a role in tipping the scales of plausibility in important debates, and if you want tournaments to play a role in incentivizing people to behave more reasonably in debates.


CLASS III — Counterfactual History: The Elusive Control Groups in Policy Debates

There's a picture of two people on slide seventy-two, one of whom is one of the most famous historians in the 20th century, E.H. Carr, and the other of whom is a famous economic historian at the University of Chicago, Robert Fogel. They could not have more different attitudes toward the importance of counterfactuals in history. For E.H. Carr, counterfactuals were a pestilence, they were a frivolous parlor game, a methodological rattle, a sore loser's history. It was a waste of cognitive effort to think about counterfactuals. You should think about history the way it did unfold and figure out why it had to unfold the way it did—almost a prescription for hindsight bias. 

Robert Fogel, on the other hand, approached it more like a scientist. He quite correctly recognized that if you want to draw causal inferences from any historical sequence, you have to make assumptions about what would have happened if the hypothesized cause had taken on a different value. That's a counterfactual. You had this interesting tension. Many historians do still agree, in some form, with E.H. Carr. Virtually all economic historians would agree with Robert Fogel, who's one of the pivital people in economic history; he won a Nobel Prize. But there's this very interesting tension between people who are more open or less open to thinking about counterfactuals. Why that is, is something that is worth exploring.


CLASS IV — Skillful Backward and Forward Reasoning in Time: Superforecasting Requires "Counterfactualizing"

A famous economist, Albert Hirschman, had a wonderful phrase, "self-subversion." Some people, he thought, were capable of thinking in self-subverting ways. What would a self-subverting liberal or conservative say about the Cold War? A self-subverting liberal might say, "I don’t like Reagan. I don’t think he was right, but yes, there may be some truth to the counterfactual that if he hadn’t been in power and doing what he did, the Soviet Union might still be around." A self-subverting conservative might say, "I like Reagan a lot, but it’s quite possible that the Soviet Union would have disintegrated anyway because there were lots of other forces in play."
        
Self-subversion is an integral part of what makes superforecasting cognition work. It’s the willingness to tolerate dissonance. It’s hard to be an extremist when you engage in self-subverting counterfactual cognition. That’s the first example. The second example deals with how regular people think about fate and how superforecasters think about it, which is, they don’t. Regular people often invoke fate, "it was meant to be," as an explanation for things.


CLASS V — Condensing it All Into Four Big Problems and a Killer App Solution

The beauty of forecasting tournaments is that they’re pure accuracy games that impose an unusual monastic discipline on how people go about making probability estimates of the possible consequences of policy options. It’s a way of reducing escape clauses for the debaters, as well as reducing motivated reasoning room for the audience.

Tournaments, if they’re given a real shot, have a potential to raise the quality of debates by incentivizing competition to be more accurate and reducing functionalist blurring that makes it so difficult to figure out who is closer to the truth. 

Office For Anticipating Surprise

Andrian Kreye [8.14.15]


To enter or not to enter? Obama's choice before the capture of Bin Laden. Scene from the film Zero Dark Thirty. Photo: Jonathan Olley

Andrian Kreye, Feuilleton Editor
English translation by Arya Kamangar

For the psychology professor Philip Tetlock, the hunt for Osama Bin Laden is a classic example of the insufficiency of secret-service agencies. When Barack Obama gave the green light for that operation four years ago, he knew he was making one of the most difficult decisions in his life—one that would not only mean life or death for those involved, but also sway the course of history and help determine his legacy. The prognoses offered by the secret-service agencies were inconclusive: some put the likelihood for success at 40%, others at 80%. In the movie based on this operation, Zero Dark Thirty, the CIA agent Maya insists she is 100% certain of success. In reality, Obama determined the chances stood at fifty-fifty and gave the green light against the advice of his secretary of defense. 

In Tetlock's view, such imprecisions present an unacceptable risk. Forecasts alleging complete certainty are, of course, unscientific. But Tetlock argues that a historic decision must not be based on imprecise reports. While Obama may have enjoyed luck on a historic scale, with his special task force finding Bin Laden and killing him, Tetlock insists that the work of secret-service agencies must change—fundamentally.

Since the eighties Tetlock has worked on precisely this endeavor. For four years now he has pursued research at the University of Pennsylvania at the behest of the Intelligence Advanced Research Projects Activity (IARPA), which the NSA and the CIA, together with fourteen other American secret-service agencies, established in 2006, in order to develop new methods for secret-service work in the post-9/11 era. Among IARPA’s divisions are the Office for Anticipating Surprise, the Office of Smart Collection, and the Office of Incisive Analysis.

Psychologists' "forecasting tournaments" capture the interest of the NSA and the CIA

This past weekend Tetlock met with twenty scientists and engineers on a vineyard north of San Francisco. Two European journalists were invited; otherwise, the meeting was closed to the public. Tetlock wanted to discuss the results of his Good Judgment Project, which he has worked on for 24 years. The scientists discuss the project under ideal circumstances: sheltered from the summer heat in the cool living room of a stately Victorian house. With palms in the garden, a front porch and wainscoting, the house exudes colonial splendor. The air is redolent with the rose beds in front of the windows and the precious woods of the furniture. The host is John Brockman of Edge Foundation, Inc. (http://edge.org), which is the best network for such debates in the country. That explains the presence of such intellectual heavyweights as the Nobel Laureate in Economics Daniel Kahneman, the political scientist and National Medal of Science winner Robert Axelrod, the political scientist Margaret Levi, and Google Vice President Salar Kamangar. It isn’t easy to hold one’s own in such a group. Kahneman in particular, the cleverest of them all, is skeptical.

Tetlock begins by recounting the history of the Good Judgment Project. In 1984 he began holding "forecasting tournaments" in which selected candidates are asked questions about the course of events. In the wake of a natural disaster, what policies will be changed in the United States? When will North Korea test nuclear weapons? Candidates examine the questions in teams. They are not necessarily experts, but attentive, shrewd citizens. One of the best forecasters so far is Bill Flack, a former official of the U.S. Department of Agriculture from Nebraska.

The Next Wave

John Markoff [7.16.15]

This can't be the end of human evolution. We have to go someplace else.                                 

It's quite remarkable. It's moved people off of personal computers. Microsoft's business, while it's a huge monopoly, has stopped growing. There was this platform change. I'm fascinated to see what the next platform is going to be. It's totally up in the air, and I think that some form of augmented reality is possible and real. Is it going to be a science-fiction utopia or a science-fiction nightmare? It's going to be a little bit of both.                              

JOHN MARKOFF is a Pulitzer Prize-winning journalist who covers science and technology for The New York Times. His most recent book is the forthcoming Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots. John Markoff's Edge Bio Page


THE NEXT WAVE

I'm in an interesting place in my career, and it's an interesting time in Silicon Valley. I grew up in Silicon Valley, but it's something I've been reporting about since 1977, which is this Moore's Law acceleration. Over the last five years, another layer has been added to the Moore's Law discussion, with Kurzweil and people like him arguing that we're on the brink of self-aware machines. Just recently, Gates and Musk and Hawking have all been saying that this is an existential threat to humankind. I simply don't see it. If you begin to pick it apart, their argument and the fundamental argument of Silicon Valley, it's all about this exponential acceleration that comes out of the semiconductor industry. I suddenly discovered it was over.                

Now, it may not be over forever, but it's clearly paused. All the things that have been driving everything that I do, the kinds of technology that have emerged out of here that have changed the world, have ridden on the fact that the cost of computing doesn't just fall, it falls at an accelerating rate. And guess what? In the last two years, the price of each transistor has stopped falling. That's a profound moment. 

Layers Of Reality

Sean Carroll [5.28.15]

We know there's a law of nature, the second law of thermodynamics, that says that disorderliness grows with time. Is there another law of nature that governs the complexity of what happens? That talks about multiple layers of the structures and how they interact with each other? Embarrassingly enough, we don't even know how to define this problem yet. We don't know the right quantitative description for complexity. This is very early days. This is Copernicus, not even Kepler, much less Galileo or Newton. This is guessing at the ways to think about these problems.

SEAN CARROLL is a research professor at Caltech and the author of The Particle at the End of the Universe, which won the 2013 Royal Society Winton Prize, and From Eternity to Here: The Quest for the Ultimate Theory of Time. He has recently been awarded a Guggenheim Fellowship, the Gemant Award from the American Institute of Physics, and the Emperor Has No Clothes Award from the Freedom From Religion Foundation. Sean Carroll's Edge Bio Page


LAYERS OF REALITY

I've always studied the laws of physics. I've always been curious about how the universe works, where it comes from, what are the rules that govern the behavior of the universe at the deepest level, so I do physics for a living. I study cosmology and the Big Bang and what happened before the Big Bang, if anything. It's a system of things that hooks up in very complicated ways to our human scale lives. There's the natural world that scientists study, and we human beings are part of the natural world.

We Need A Modern Origin Story: A Big History

David Christian [5.21.15]

In modern science, and I include the humanities here, science in a German sense of science—rigorous scholarship across all domains—in modern science we've gotten used to the idea that science doesn't offer meaning in the way that institutional religions did in the past. I'm increasingly thinking that this idea that modernity puts us in a world without meaning—philosophers have banged on about this for a century-and-a-half—may be completely wrong. We may be living in an intellectual building site, where a new story is being constructed. It's vastly more powerful than the previous stories because it's the first one that is global. It's not anchored in a particular culture or a particular society. This is an origin story that works for humans in Beijing as well as in Buenos Aires. 

It's a global origin story, and it sums over vastly more information than any early origin story. This is very, very powerful stuff. It's full of meaning. We're now at the point where, across so many domains, the amount of information, of good, rigorous ideas, is so rich that we can tease out that story. 

DAVID CHRISTIAN is Professor of History, Macquarie University, Sydney; Author, Maps of Time: An Introduction to Big History. David Christian's Edge Bio Page


WE NEED A MODERN ORIGIN STORY: A BIG HISTORY

I'm a Russian historian, and I love teaching Russian history. I taught it during the Cold War when it seemed exceptionally significant. Teaching it in Australia, where I was, was a bit like talking about the dark side. I felt my students needed to know about that world.

I'm not Russian, but I was teaching Russian history and eventually I realized I was giving the subliminal message that humans are divided, at a fundamental level, into competing tribes. Having lived through the Cuban Missile Crisis, I remember it vividly. I was a schoolboy in England where this tribalism threatened to blow us all up. That was a very vivid experience for me. I thought, for historians to keep teaching this subliminal message—that we're divided by tribes—is not a good thing. 

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