Superforecasting: The Art and Science of Prediction
(Libby/OverDrive eBook, Kindle)

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Published
Crown , 2015.
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Description

NEW YORK TIMES BESTSELLER • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY THE ECONOMIST The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.—Jason Zweig, The Wall Street Journal   Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

More Details

Format
eBook, Kindle
Street Date
09/29/2015
Language
English
ISBN
9780804136709

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Published Reviews

Choice Review

Tetlock (Univ. of Pennsylvania) and Gardner (editor, Policy Options) report on the findings from the ongoing Good Judgment Project, which details how amateur forecasters are often more accurately tuned than analysts from the intelligence community. Using their Website www.goodjudgement.com over four years to recruit 2,800 ordinary citizens interested in current events, researchers asked volunteers nearly 500 questions and used publicly available sources to determine the probability that various events would occur. Some volunteers inevitably performed much better than the pack. The "superforecasters'" strategies form the core of the book and can be distilled into a handful of directives: (1) Use logic and data upon which to base predictions; (2) Eliminate personal biases; (3) Keep track of your findings; (4) Break problems into sub-problems; (5) Find counterarguments to each problem; (6) Think probabilistically, always recognizing that everything is uncertain; (7) Distinguish between what is known and unknown; (8) Be wary of your assumptions. These ordinary people regularly attained considerable accuracy through meticulous application of these unsurprisingly common-sense lessons. These prescriptions offer decision makers an opportunity to understand and react more intelligently to confusing current events. This book will complement courses in corporate strategy and decision making. Summing Up: Recommended. Undergraduates, graduates, professionals. --Jerry Paul Miller, Simmons College, Boston

Copyright American Library Association, used with permission.
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Library Journal Review

Tetlock (Annenberg Univ. Professor, Univ. of Pennsylvania; Expert Political Judgment) and journalist Gardner (Future Babble) have consolidated their efforts in a quest to figure out how best to anticipate the future. This book is one of several on the subject (e.g., Daniel Kahneman's Thinking, Fast and Slow and Nate Silver's The Signal and the Noise) that are not necessarily big-data driven, nor confined to business applications. Tetlock and Gardner examine both theory and practical instances of forecasts that were successful and unsuccessful-the Cuban Missile Crisis and the Bay of Pigs are cited, as are examples concerning professional poker, medicine, and weather. The authors introduce Brier scores (a measurement of the accuracy of probabilistic predictions). Profiled is the Good Judgment Project, a consortium of volunteer forecasters co-led by Tetlock and others. What comes through clearly in this book is that the best forecasters are bright but not necessarily Big Bang Theory smart-they have curiosity and an ability to detach themselves from preconceived notions. The appendix gives abbreviated dicta for those who aspire to be superforecasters. VERDICT In the absence of a physical absolute, insightful forecasts are invaluable. Day traders, consumer marketers, and statisticians will find this book of value.-Steven Silkunas, Fernandina Beach, FL © Copyright 2015. Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

(c) Copyright Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.
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Kirkus Book Review

Superforecastingpredicting events that will occur in the futureis not only possible; it accounts for an entire industry. World-renowned behavioral scientist Tetlock (Expert Political Judgment: How Good Is It? How Can We Know, 2005, etc.) explains why some people are so good at it and how others can cultivate the skill. Global forecasting is hardly limited to predicting the weather. In fact, much of it has significantly higher stakes: everything from the potential of conflict in the North China Sea to the 2016 presidential election is at play. Legions of intelligent, well-educated, and well-paid analysts digest data and attempt to make hundreds of nuanced predictions each year. Remarkably, in his seminal 20-year study, the author established that, on average, these "experts" are "roughly as accurate as a dart-throwing chimpanzee." On the other hand, the superforecasters Tetlock has recruited are far more accurate: his team handily beat their competitors in a forecasting tournament sponsored by a U.S. government agency, providing more accurate answers than even those with access to classified files. And here's the rub: his all-volunteer team is composed entirely of so-called ordinary people with ordinary jobs. In this captivating book, Tetlock argues that success is all about the approach: foresight is not a gift but rather a product of a particular way of thinking. Superforecasters are open-minded, careful, curious, and self-critical. They make an initial prediction and then meticulously adjust this prediction based on each new piece of related information. In each chapter, the author augments his research with compelling interviews, anecdotes, and historical context, using accessible real-world examples to frame what could otherwise be dense subject matter. His writing is so engaging and his argument so tantalizing, readers will quickly be drawn into the challengein the appendix, the author provides a concise training manual to do just that. A must-read field guide for the intellectually curious. Copyright Kirkus Reviews, used with permission.

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Library Journal Reviews

Tetlock (Annenberg Univ. Professor, Univ. of Pennsylvania; Expert Political Judgment) and journalist Gardner (Future Babble) have consolidated their efforts in a quest to figure out how best to anticipate the future. This book is one of several on the subject (e.g., Daniel Kahneman's Thinking, Fast and Slow and Nate Silver's The Signal and the Noise) that are not necessarily big-data driven, nor confined to business applications. Tetlock and Gardner examine both theory and practical instances of forecasts that were successful and unsuccessful—the Cuban Missile Crisis and the Bay of Pigs are cited, as are examples concerning professional poker, medicine, and weather. The authors introduce Brier scores (a measurement of the accuracy of probabilistic predictions). Profiled is the Good Judgment Project, a consortium of volunteer forecasters co-led by Tetlock and others. What comes through clearly in this book is that the best forecasters are bright but not necessarily Big Bang Theory smart—they have curiosity and an ability to detach themselves from preconceived notions. The appendix gives abbreviated dicta for those who aspire to be superforecasters. VERDICT In the absence of a physical absolute, insightful forecasts are invaluable. Day traders, consumer marketers, and statisticians will find this book of value.—Steven Silkunas, Fernandina Beach, FL

[Page 115]. (c) Copyright 2015 Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

Copyright 2015 Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.
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Citations

APA Citation, 7th Edition (style guide)

Tetlock, P. E., & Gardner, D. (2015). Superforecasting: The Art and Science of Prediction . Crown.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Tetlock, Philip E and Dan Gardner. 2015. Superforecasting: The Art and Science of Prediction. Crown.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Tetlock, Philip E and Dan Gardner. Superforecasting: The Art and Science of Prediction Crown, 2015.

Harvard Citation (style guide)

Tetlock, P. E. and Gardner, D. (2015). Superforecasting: the art and science of prediction. Crown.

MLA Citation, 9th Edition (style guide)

Tetlock, Philip E., and Dan Gardner. Superforecasting: The Art and Science of Prediction Crown, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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