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How to Lie with Statistics
9 recommendations

How to Lie with Statistics

by Darrell Huff

Recommended by 8 notable people, including Bill Gates and Nat Eliason

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Recommended by public sources

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Should I read this?

Recommended by 9 sources and appears in Statistics, Books Recommended by Bill Gates, and Most Recommended Books.

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform....

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Why recommended

Recommended by 9 sources and appears in Statistics, Books Recommended by Bill Gates, 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.

B

Benedict Evans

Recommended this book

80%
N

Neil deGrasse Tyson

Recommended this book

80%
J

Jason Zweig

Recommended this book

80%

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Appears In

The Undoing Project
Try This Instead

Not sure if this is the right fit?

Consider The Undoing Project by Michael Lewis. Recommended by 18 sources.

Michael Lewis chronicles the friendship and intellectual partnership of Daniel Kahneman and Amos Tversky, who championed the idea that cognitive biases shape our choices. The narrative reads like a buddy story, weaving their discoveries into personal anecdotes and the drama of their collaboration. You'll grasp key ideas—loss aversion, framing—through their story, but the book focuses on biography, not application. Helpful for understanding behavioral economics' origins; less useful if you want actionable advice. The emotional arc of their relationship can overshadow the science.

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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.

How to Lie with Statistics

How to Lie with Statistics

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