Input feed: Statistical Modeling, Causal Inference, and Social Science
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(1) “Do you think the culture of research has genuinely changed since the replication crisis became widely discussed, or has it mostly generated new compliance rituals around pre-registration and open data while leaving the underlying incentive structure intact?, (2) Regarding Columbia University, “is there a statistical or social scientific way of understanding how institutions lose the ability to accurately perceive their own situation?”
https://statmodeling.stat.columbia.edu/2026/08/26/do/
Statistical Modeling, Causal Inference, and Social Science 08/26/2026
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What contributions can academic statisticians make to sports analytics? (a discussion related to the launch of the new open-access Journal of Statistics and Data Science in Sports)
https://statmodeling.stat.columbia.edu/2026/08/24/journal-of-statistics-and-data-science-in-sports/
Statistical Modeling, Causal Inference, and Social Science 08/24/2026
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What does it mean when different articles published by different people on the same topic have nearly identical titles? (“A novel nutritional supplement reduces postprandial glucose response in healthy individuals in a randomised, placebo-controlled, crossover clinical study”)
https://statmodeling.stat.columbia.edu/2026/08/19/wh/
Statistical Modeling, Causal Inference, and Social Science 08/19/2026