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Superforecasting: The Art and Science of Prediction MP3 CD – Import, 29 September 2015
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From one of the world's most highly regarded social scientists, a transformative book on the habits of mind that lead to the best predictions.
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. 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.
- LanguageEnglish
- PublisherAudible Studios on Brilliance audio
- Publication date29 September 2015
- Dimensions17.15 x 13.97 x 1.27 cm
- ISBN-101511358491
- ISBN-13978-1511358491
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Product description
About the Author
Dan Gardner is a journalist and the author of Risk: The Science and Politics of Fear and Future Babble: Why Pundits Are Hedgehogs and Foxes Know Best.
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Product details
- Publisher : Audible Studios on Brilliance audio; Unabridged edition (29 September 2015)
- Language : English
- ISBN-10 : 1511358491
- ISBN-13 : 978-1511358491
- Item Weight : 72.6 g
- Dimensions : 17.15 x 13.97 x 1.27 cm
- Customer Reviews:
About the authors
Dan Gardner is the New York Times best-selling author of books about psychology and decision-making. His work has been called "an invaluable resource for anyone who aspires to the think clearly" by The Guardian and "required reading for journalists, politicians, academics, and anyone who listens to them" by Harvard psychologist Steven Pinker.
Gardner’s books have been published in 25 countries and 19 languages.
In addition to writing, Gardner lectures on forecasting, risk, and decision-making.
Prior to becoming an author, Gardner was a newspaper columnist and feature writer whose work won or was nominated for every major award in Canadian newspaper journalism.
Philip E. Tetlock (born 1954) is a Canadian-American political science writer, and is currently the Annenberg University Professor at the University of Pennsylvania, where he is cross-appointed at the Wharton School and the School of Arts and Sciences.
He has written several non-fiction books at the intersection of psychology, political science and organizational behavior, including Superforecasting: The Art and Science of Prediction; Expert Political Judgment: How Good Is It? How Can We Know?; Unmaking the West: What-if Scenarios that Rewrite World History; and Counterfactual Thought Experiments in World Politics. Tetlock is also co-principal investigator of The Good Judgment Project, a multi-year study of the feasibility of improving the accuracy of probability judgments of high-stakes, real-world events.
For more see here: https://en.wikipedia.org/wiki/Philip_E._Tetlock
For CV: https://www.dropbox.com/s/uorzufg1v0nhcii/Tetlock%20CV%20%20march%2018%2C%202016.docx?dl=0
Twitter: https://twitter.com/PTetlock
LinkedIn: https://www.linkedin.com/in/philip-tetlock-64aa108a?trk=hp-identity-name
For an interview: https://www.edge.org/conversation/philip_tetlock-how-to-win-at-forecasting
Discover more of the author’s books, see similar authors, read author blogs and more
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The book is on the topic of how do you correctly assign the probability on the events that are very uncertain. Some examples given in the book - Will they find traces of polonium poisoning in the exhumed body of Yasar Arafat. Or Will there be another terrorist attack in Europe in the next quarter. Who will win the election. You get the idea...of a kind of uncertainty we are dealing with all these outcomes. The book articulates in great detail the methodology used by few superforecasters, the ordinary folks, to arrive at correct probability of such very uncertain events. These people were all part of Good Judgement project initiated by author and his wife and funded by NIA or something. It ran for 4 years and these superforecasters beat CIA analysts (who had real time field intel) by 30% or so. They used internet, google alerts, Baysian probability etc tools to gather and process the data to arrive at their prediction. Many of these superforecaster have background in computer science, Math, technology and engineering. But the methods can be applied by any graduates. They are not beyond the capabilities of any graduate. It just calls for very structured analytical analysis of data and not basing your decisions on just an intuition.
The book also tells us that a team of superforecasters is even more accurate than single superforecaster...provided they freely share the data with each other, independently research and process the data, share their opinion without fear and overall treat each other with respect.
The decision making methodology and concept posited in this book has serious practical implications for certain groups of people like for example....stock investors, top executives, business development managers, opinion makers, forecasters etc.
The book is written by author with help from Gardner who is a reporter and professional writer. The book is greatly enhanced by this partnership. The book is very easy and interesting read due to Gardner's contribution.
I have no hesitation in recommending this splendid book to all who deal with uncertainty in their professional life. Five star Book.
The subject becomes interesting from chapter 4 "Super forecasters" and then it really picks up pace. I am only halfway through the book and have started liking the approach. Only shortcoming being the small letters and the print not very clear.
for everyone to improve their decision making skills using the tools mentioned in the book. These tools can be added to our framework of "mental models". Some key takeaways:
o Have an "inside view/ outside view" approach to decision making.
o Know what’s the base rate and avoid "base rate fallacy"
o Have a probabilistic way of thinking.
o Beliefs are hypothesis that needed to be tested, not treasures that need to be protected.
o Take ‘wisdom of the crowd’ and consider different viewpoints like ‘dragonfly-eyed’.
o Being aware of cognitive and emotional bias.
Verdict: Highly recommended!
The Ten Commandments at the end are the best part of the book. The notes sections has some quite valuable resources too.
This is not to say it’s a boring book of sorts, it’s just that it tells way more stories rather than exploring the core idea of how to actually work on forecasting.

The Ten Commandments at the end are the best part of the book. The notes sections has some quite valuable resources too.
This is not to say it’s a boring book of sorts, it’s just that it tells way more stories rather than exploring the core idea of how to actually work on forecasting.



Top reviews from other countries


The issue with the book is not the material of the content but the padding. There seems to be a lot of it. This is a 300+ page book that can be edited down to half the size without losing information. Many of the same examples of Superforecasting were repeated more than once.
It was funny to read that a lot of businesses are not actually that interested if a forecast is right or wrong provided the forecast tells them what they want to hear. Talking from experience I know this to be true. In addition other forecasters are reluctant to revisit old forecasts in fear of exposing their inaccuracies, which to me, made zero sense and I am glad Tetlock agrees with this view.
Overall it is a good read, just nothing special if you do this sort of thing for a living.

Certainly in this time of COVID-19, after reading this book you'll start noticing a lot of public figures fall into basic data interpretation mistakes, make predictions that turn out to be totally wrong, and then continue as normal anyway!

One criticism I have is that I would've liked it to better slightly less "popular" science; include a bit more hard data, remove a little of the padding. However even with this criticism, there was much for me to learn. And it did include substantial references to evidence.
Prediction is an extremely important component to testing whether your hypotheses are correct. Therefore, knowing about prediction is a key issue in science. Anyone who cares a lot about science should read a book like this or something similar. For any such person, I would gladly recommend this book.
