idk about impact, but here are a couple I liked:

- https://statmodeling.stat.columbia.edu/2025/08/25/what-writi...

- https://statmodeling.stat.columbia.edu/2025/09/04/assembling...

Here are the articles that were popular on HN over the years:

https://hn.algolia.com/?q=statmodeling.stat.columbia.edu

Beyond “power pose”: Using replication failures and a better understanding of data collection and analysis to do better science https://statmodeling.stat.columbia.edu/2017/10/18/beyond-pow...

You need 16 times the sample size to estimate an interaction than to estimate a main effect https://statmodeling.stat.columbia.edu/2018/03/15/need16/

Debate over effect of reduced prosecutions on urban homicides; also larger questions about synthetic control methods in causal inference. https://statmodeling.stat.columbia.edu/2023/10/12/debate-ove...

Bayesians moving from defense to offense: “I really think it’s kind of irresponsible now not to use the information from all those thousands of medical trials that came before. Is that very radical?” https://statmodeling.stat.columbia.edu/2023/12/23/bayesians-...