RSS Statistical Modeling, Causal Inference, and Social Science

The website statmodeling.stat.columbia.edu is the personal website of Andrew Gelman, a professor of statistics and political science at Columbia University. The site appears to be a blog that features Gelman's thoughts on various topics in statistics, data analysis, and related fields. The site has a simple and straightforward design, with a focus on content over flashy visuals. The site includes articles on a range of topics, from technical discussions of statistical modeling to commentary on current events and the intersection of politics and data. The articles often feature Gelman's thoughts on recent research papers, and include links to external sources and further reading. One of the main features of the site is its comment section, which appears to be quite active, with many users engaging in discussions and debates with Gelman and other readers. The comments are often insightful and provide additional context and perspectives on the topics being discussed. Overall, the site seems to be geared towards professionals and researchers in the field of statistics and data analysis, but also appears to be accessible to readers with an interest in data-driven thinking and analysis.