Reading List
Andrew Gelman
Statistician and Political Scientist
Andrew Gelman is Higgins Professor of Statistics and a professor of political science at Columbia. He read mathematics and physics at MIT and took his doctorate at Harvard under Donald Rubin. He co-wrote Bayesian Data Analysis, a standard text, and Red State, Blue State, Rich State, Poor State, which took apart how Americans actually vote by income. His blog has spent two decades examining published research that does not hold up, which shapes how he reads.
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Judgment Under Uncertainty
Heuristics and Biases
by Daniel Kahneman, Paul Slovic, Amos Tversky · 1982 · Non-Fiction
“What they found is that the pros were getting it wrong.” — via Interview, January 2011
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The Bill James Historical Baseball Abstract
by Bill James · 1985 · Non-Fiction
“One of my inspirations to become a statistician was reading” — via Interview, January 2011
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The Honest Rainmaker
by A. J. Liebling · 1953 · Non-Fiction
“Liebling is one of the great writers of all time and I felt that this particular book had strong statistical content.” — via Interview, January 2011