
Superforecasting
The Art and Science of Prediction
by Philip E. Tetlock
3 more
Recommended by 5 notable people, including Michael Mauboussin and Preston Pysh
Check price on AmazonRecommended by public sources
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Reading Profile
Should I read this?
Superforecasting examines the traits and methods of highly accurate forecasters, linking them to cognitive biases and techniques like belief updating. It outlines an approach to probabilistic thinking, drawing on examples from forecasting tournaments. The density, however, can drag when it lingers on scoring metrics or repeats concepts. Readers wanting a light, prescriptive manual may bounce, but those who persist gain a sharper lens on uncertainty.
Read this if...
- •A product manager in a tech company who needs to estimate launch timelines and feature adoption rates, and wants a systematic way to improve accuracy without relying on gut feel alone.
- •An investor or financial analyst tired of punditry who wants a rigorous approach to assigning probabilities to market events.
- •A policy advisor who must weigh uncertain geopolitical risks and needs tools to communicate probabilities clearly to decision-makers.
Skip this if...
- •You'll likely put it down when the book dives deep into Brier scores and calibration metrics, making it feel more like a statistics textbook than a decision-making guide.
- •Not for you if you want a collection of inspiring anecdotes; the book prioritizes method over motivation and can come off as dryly academic.
- •Skip if you're looking for immediate shortcuts; it requires patient engagement with complex ideas and a willingness to scrutinize your own thinking.
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 JournalEveryone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply...
Before You Buy
Reading Specifications
Difficulty:hard
Audience Fit
- A product manager in a tech company who needs to estimate launch timelines and feature adoption rates, and wants a systematic way to improve accuracy without relying on gut feel alone.
- An investor or financial analyst tired of punditry who wants a rigorous approach to assigning probabilities to market events.
- A policy advisor who must weigh uncertain geopolitical risks and needs tools to communicate probabilities clearly to decision-makers.
- You'll likely put it down when the book dives deep into Brier scores and calibration metrics, making it feel more like a statistics textbook than a decision-making guide.
- Not for you if you want a collection of inspiring anecdotes; the book prioritizes method over motivation and can come off as dryly academic.
- Skip if you're looking for immediate shortcuts; it requires patient engagement with complex ideas and a willingness to scrutinize your own thinking.
Check formats, pricing, and availability options for Kindle, physical print, or audiobooks directly.
View available editions on AmazonKey themes
Why recommended
Recommended by 11 sources and appears in Clear Thinking, Economics, and Most Recommended Books.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
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Appears In

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How recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.






