Professor, Columbia University
Andrew Gelman is a professor of statistics and political science at Columbia University.
He has published research articles on statistical theory, methods, and computation, with applications in social science and public health. He and his colleagues have written several books, including Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, Regression and Other Stories, A Quantitative Tour of the Social Sciences, and Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do.
His ideas on metascience include type M and type S errors, the folk theorem of statistical computing, the freshman fallacy, the time-reversal heuristic, the Armstrong principle, the Javert paradox, Eureka bias, Clarke’s law, the piranha problem, and the garden of forking paths.