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)
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