Wow! eBook
To Think Like a Statistician
Author(s): Bradley Efron (Author)
- Publisher: Princeton University Press
- Publication Date: August 4, 2026
- Language: English
- Print length: 296 pages
- ISBN-10: 0691245827
- ISBN-13: 9780691245829
Book Description
Why you don’t need to be a statistician to think like one
A fire hose of information bombards us every day, and some of it is even true. Is Bitcoin a good investment? Are hurricanes getting worse? Is the measles vaccine dangerous? Separating the wheat from the chaff is what statisticians do—and there’s lots of chaff. To Think Like a Statistician shares the skills statisticians use to sift through evidence, learn from experience, and extract meaning and knowledge from the random and the contradictory.
Bradley Efron is one of the most renowned statisticians in the world and has shaped how data science and machine learning are practiced today. In this book, he draws on examples ranging from David Hume’s critique of miracles to counterfeit Basquiats, AI hallucinations, pandemics, competing political claims, government approvals of Alzheimer’s treatments, gambling, and misinformation. He describes how statisticians have tackled difficult topics—like correlation, causation, prediction, survival, and accuracy—and demystifies the disputes surrounding concepts like randomness, uncertainty, and subjectivity.
Blending real-world insights with personal stories from a leading expert, To Think Like a Statistician equips readers with powerful ideas from the statistician’s toolbox and explains the tricks of the trade, enabling anyone to become a more sophisticated consumer of information in an increasingly noisy world.
Editorial Reviews
Review
“An entertaining and thought-provoking book by one of the most creative and important statisticians of the modern era. I recommend it not despite but because I disagree with it in so many places. It is from tough problems and controversies that we learn the most.”
—Andrew Gelman, Columbia University“An engaging and accessible exposition of statistical ideas by a leading creator of modern statistical science, showing how and why statistics is central to our understanding of the world.”
—David Hand, Imperial College London“There is no shortage of popular books on quantum mechanics, string theory, black holes, and the like. But popular accounts of statistics are rare, which is a shame because statistical inference lies at the intersection of philosophy, science, math, and computation, making it a rich and fascinating topic. In this captivating book, Bradley Efron gives a highly readable and entertaining tour of this subject. Without delving into messy technical details, he gives a deep sense of the subtleties and delights that arise when extracting information from data. This is a must-read for anyone who is curious about the way that statistics helps science progress.”
—Larry Wasserman, Carnegie Mellon University“A wonderful opportunity to learn modern statistics from one of its creators, an insightful and patient teacher with a gentle sense of humor.”
—Stephen Stigler, University of Chicago
