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Statistical Modeling, Causal Inference, and Social Science

  • By Andrew Gelman
  • Based in United States of America
  • Roughly one post per day
  • First post on

Posts per month

Data for this chart is available in the table below
Posts per month
Month starting Posts
Nov 2022 9
Dec 2022 58
Jan 2023 53
Feb 2023 46
Mar 2023 51
Apr 2023 40
May 2023 40
Jun 2023 42
Jul 2023 37
Aug 2023 42
Sep 2023 40
Oct 2023 42
Nov 2023 39
Dec 2023 40
Jan 2024 51
Feb 2024 47
Mar 2024 42
Apr 2024 42
May 2024 44
Jun 2024 43
Jul 2024 33

Any gaps could be due to errors when fetching the blog’s feed.

Most recent posts

Niall Ferguson, J. D. Vance, George Washington, and Jesus
The Republican vice-presidential nominee made some remarks a few years ago about non-parents (“We are effectively run in this country . . . by a bunch of childless cat ladies who are miserable at their …
On , by Andrew, 1,816 words
Two job openings, one in New York on data visualization, one near Paris on Bayesian modeling
There are so many interesting and important things to do in statistical modeling, causal inference, and social science, and so many places for recent graduates to jump in. Here are two opportunities that happen to …
On , by Andrew, 1,273 words
(This one’s important:) Looking Beyond the Obvious: Essentialism and abstraction as central to our reasoning and beliefs
Recently in the sister blog: A hallmark of human cognition is the capacity to think about observable experience in ways that are nonobvious—from scientific concepts (genes, molecules) to everyday understandings (germs, soul). Where does this …
On , by Andrew, 541 words