The Book of Why by Judea Pearl

The Book of Why

The New Science of Cause and Effect

Judea Pearl, Dana Mackenzie

Basic Books · Print & ebook · October 20, 2026

An argument for how understanding causality has revolutionized science and will revolutionize artificial intelligence.

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Themes
Cause and effect, Causal reasoning in AI, Counterfactual questions
Genres
AI & Machine Learning, Science & Society, Probability & Statistics
Published
Basic Books, October 20, 2026

Beyond Correlation

Explore how causal reasoning connects data to questions about what changes—and what might have been.

Come here for

  • A clear-eyed look at why correlation alone cannot explain cause and effect
  • Counterfactual questions and the role of causality in AI

Expect

  • An introduction to cause and effect for lay readers and scientists
  • Tools for thinking about the observable world and alternatives

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About this book

An argument for how understanding causality has revolutionized science and will revolutionize artificial intelligence. "Illuminating." —New York Times "Extraordinary." —Science Friday “Correlation is not causation.” This mantra, chanted by scientists for more than a century, once led to a virtual prohibition on causal talk. Today, with causal analysis taking center stage in AI and other applications, the old taboos are a thing of the past.

Continue reading

The causal revolution, instigated by Judea Pearl and others, established causality on a firm scientific basis. Pearl showed how intuitive models can interface with data to help answer causal questions, such as whether a drug will cure an illness or, counterfactually, whether an illness would have persisted absent the drug. These models provide a blueprint for causal AI to learn and take responsibility for its mistakes. Updated with a new preface and summary of recent advances, The Book of Why outlines the basics of cause and effect for lay readers and scientists alike, providing tools to explore the observable world and worlds that might have been.

Where it sits

AI & Machine Learning72%
Science & Society39%
Probability & Statistics38%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Business Statistics
  • AI & Machine Learning
  • Computer Science
  • Probability & Statistics
Show all 5 publisher categories
  • Applied Science
Authors
Judea Pearl, Dana Mackenzie
Publisher
Basic Books
Published
October 20, 2026
Format
Print & ebook
Theme
Cause and effect · Causal reasoning in AI · Counterfactual questions
Reading lane
Business Statistics