Thinking Statistically Recommended Reading

There’s a number of great “popular statistics” books out there. One group of books gives simple explanations of how to interpret statistics from newspapers, businesses and governments—one of my favourites is “How to Lie with Statistics” by Darrell Huff, holding up perfectly since 1954.

Eliezer Yudkowsky provides “An Intuitive Explanation of Bayes’ Theorem” among endless other Bayes-related posts and comments, at his eponymous website.

Ben Goldacre’s “Bad Science” is about how to avoid quackery in medicine — only some of the book is about statistics, but all of the book is excellent. Goldacre’s blog, BadScience.net, is phenomenal, and covers a lot of statistical topics.

Andrew Gelman’s blog “Statistical Modeling, Causal Inference, and Social Science” (yes—real statisticians name their blogs like that) generally covers more technical topics but also includes fantastic casual statistics anecdotes, and is a must-read for the true stats-addict.

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