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Bernoulli's Fallacy

Statistical Illogic and the Crisis of Modern Science
Language: English
Published/Copyright: 2021

About this book

Aubrey Clayton traces the history of the flaw that underlies modern statistics, beginning with the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Ranging across math, philosophy, and culture, Bernoulli’s Fallacy explains why something has gone wrong with how we use data—and how to fix it.

Author / Editor information

Aubrey Clayton is a mathematician who teaches the philosophy of probability and statistics at the Harvard Extension School. He holds a PhD from the University of California, Berkeley, and his writing has appeared in Pacific Standard, Nautilus, and the Boston Globe.

Reviews

Eric-Jan Wagenmakers, coauthor of Bayesian Cognitive Modeling: A Practical Course:
This story of the 'statistics wars' is gripping, and Clayton is an excellent writer. He argues that scientists have been doing statistics all wrong, a case that should have profound ramifications for medicine, biology, psychology, the social sciences, and other empirical disciplines. Few books accessible to a broad audience lay out the Bayesian case so clearly.

Persi Diaconis, Mary V. Sunseri Professor of Statistics and Mathematics, Stanford University:
I like it! Anything that gets people thinking about the uses and abuses of statistics is important and Clayton's book does just this. Fifty years ago E. T. Jaynes opened my eyes to the importance of Bayesian ideas in the real world and this readable account brings these ideas up to date.

Andrew Gelman, Columbia University:
An entertaining mix of history and science.

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Publishing information
Pages and Images/Illustrations in book
eBook published on:
September 8, 2021
eBook ISBN:
9780231553353
Pages and Images/Illustrations in book
Other:
12 b&w illustrations
Downloaded on 2.4.2026 from https://www.degruyterbrill.com/document/doi/10.7312/clay19994/html
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