Science · Similar reads

Books like The Art of Statistics: How to Learn from Data

The best books like The Art of Statistics: How to Learn from Data are Thinking, Fast and Slow, The Signal and the Noise, and Noise: A Flaw in Human Judgment. The Art of Statistics: How to Learn from Data by David Spiegelhalter is about statistics, data literacy, uncertainty. If that's what drew you in, here are 12 books that share its DNA — each summarized on Superbook, and ready to chat with in the app.

  1. Thinking, Fast and Slow
    Thinking, Fast and Slow

    01

    Thinking, Fast and Slow

    Daniel Kahneman · Psychology

    Thinking, Fast and Slow is Daniel Kahneman's account of the two cognitive systems that govern human thought.

    A kindred science read.

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  2. The Signal and the Noise
    The Signal and the Noise

    02

    The Signal and the Noise

    Nate Silver · Science

    Nate Silver made his reputation predicting baseball statistics and then political elections.

    Both dig into uncertainty.

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  3. Noise: A Flaw in Human Judgment
    Noise: A Flaw in Human Judgment

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    Noise: A Flaw in Human Judgment

    Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein · Psychology

    Bias gets most of the attention in discussions of judgment error.

    A kindred science read.

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  1. Against the Gods: The Remarkable Story of Risk
    Against the Gods: The Remarkable Story of Risk

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    Against the Gods: The Remarkable Story of Risk

    Peter L. Bernstein · History

    Against the Gods is Peter Bernstein's intellectual history of how humanity learned to measure, quantify, and manage risk — a story he traces from ancient gambling in the Mediterranean through the development of modern probability theory, statistics, and financial derivatives.

    A kindred science read.

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  2. Weapons of Math Destruction
    Weapons of Math Destruction

    05

    Weapons of Math Destruction

    Cathy O'Neil · Science

    Weapons of Math Destruction is mathematician and data scientist Cathy O'Neil's investigation of how algorithms — statistical models used to make decisions about people's lives — can perpetuate and amplify inequality rather than reduce it.

    A kindred science read.

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  3. The Meaning of It All: Thoughts of a Citizen-Scientist
    The Meaning of It All: Thoughts of a Citizen-Scientist

    06

    The Meaning of It All: Thoughts of a Citizen-Scientist

    Richard P. Feynman · Science

    The Meaning of It All collects three lectures Richard Feynman delivered at the University of Washington in 1963, published posthumously in 1998.

    Shares uncertainty and critical thinking with The Art of Statistics: How to Learn from Data.

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  4. Bad Science
    Bad Science

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    Bad Science

    Ben Goldacre · Science

    Bad Science is Ben Goldacre's dissection of how scientific evidence gets misrepresented, distorted, and invented in the service of selling health products, generating media coverage, and protecting bad actors from accountability.

    Both dig into statistics.

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  5. How Not to Be Wrong: The Power of Mathematical Thinking
    How Not to Be Wrong: The Power of Mathematical Thinking

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    How Not to Be Wrong: The Power of Mathematical Thinking

    Jordan Ellenberg · Science

    Jordan Ellenberg is a research mathematician who writes as if mathematics is something you would want to think about over dinner.

    Both dig into critical thinking.

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  6. The Black Swan: The Impact of the Highly Improbable
    The Black Swan: The Impact of the Highly Improbable

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    The Black Swan: The Impact of the Highly Improbable

    Nassim Nicholas Taleb · Science

    The Black Swan is Nassim Nicholas Taleb's argument that the most consequential events in history — financial crashes, technological breakthroughs, wars, pandemics — are not predictable outliers but structurally unpredictable ones.

    Both dig into uncertainty.

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  7. The Book of Why
    The Book of Why

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    The Book of Why

    Judea Pearl · Science

    The Book of Why is Judea Pearl's argument that the dominant tradition in statistics — which insists on correlations and avoids causal claims — is a fundamental intellectual mistake, and that building a proper science of causality is the most important unsolved problem in both science and artificial intelligence.

    Both dig into statistics.

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  8. The Demon-Haunted World
    The Demon-Haunted World

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    The Demon-Haunted World

    Carl Sagan · Science

    The Demon-Haunted World is Carl Sagan's argument that science is not just a body of knowledge but a way of thinking — one that humanity needs badly and uses far too rarely.

    Both dig into critical thinking.

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  9. The Greatest Show on Earth: The Evidence for Evolution
    The Greatest Show on Earth: The Evidence for Evolution

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    The Greatest Show on Earth: The Evidence for Evolution

    Richard Dawkins · Science

    The Greatest Show on Earth is Richard Dawkins's systematic presentation of the evidence for evolution by natural selection.

    Both dig into evidence.

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Books like The Art of Statistics: How to Learn from Data: quick answers

What are the best books like The Art of Statistics: How to Learn from Data?

The best books like The Art of Statistics: How to Learn from Data by David Spiegelhalter are Thinking, Fast and Slow by Daniel Kahneman, The Signal and the Noise by Nate Silver, Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein, Against the Gods: The Remarkable Story of Risk by Peter L. Bernstein, Weapons of Math Destruction by Cathy O'Neil, plus 7 more below. Each was chosen for themes it shares with The Art of Statistics: How to Learn from Data, such as statistics, data literacy, uncertainty.

What should I read after The Art of Statistics: How to Learn from Data?

A natural next read after The Art of Statistics: How to Learn from Data is Thinking, Fast and Slow by Daniel Kahneman. A kindred science read. Other strong choices are The Signal and the Noise by Nate Silver, Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein, Against the Gods: The Remarkable Story of Risk by Peter L. Bernstein.

What books are similar to The Art of Statistics: How to Learn from Data by David Spiegelhalter?

The Art of Statistics: How to Learn from Data centers on statistics, data literacy, uncertainty. Books with a similar feel include Thinking, Fast and Slow by Daniel Kahneman, The Signal and the Noise by Nate Silver, Noise: A Flaw in Human Judgment by Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein, Against the Gods: The Remarkable Story of Risk by Peter L. Bernstein, Weapons of Math Destruction by Cathy O'Neil, The Meaning of It All: Thoughts of a Citizen-Scientist by Richard P. Feynman — all free to read and chat with on Superbook.

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