A conversation with Andrew Gelman, professor of statistics and political science and director of the Applied Statistics Center at Columbia University. Andrew is the author of a number of books on topics such as Bayesian Data Analysis, how stats should be taught, and voting patterns in politics. Our conversation topics included:

Forking paths in data analysis

To what extent to prior beliefs determine study outcomes

Data integrity in the era of COVID

Unreliable friends and modeling uncertainty

Related links:

Andrew Gelman at Columbia University

Andrew Gelman - The Statistical Crisis in Science (Dec 2014)

CDC - Excess Deaths Associated with COVID-19 (Jul 2020)

E.T. Jaynes - Probability Theory (Chapter 5 for quote)

David Shor - Interview with New York Magazine (Jul 2020)

Katie Herzog - Discussion on Cancel Culture with The Filter (Jul 2020)

Nassim Taleb - Uncertainty (Mar 2020)

Matt Asher - Unreliable Friend Distribution (May 2013)