Andrew Gelman et al.
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Andrew Gelman et al.
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How the new era of CEO supervillains are trapped in their own ideology
statmodeling.stat.columbia.edu/2026/01/27/f...
How the new era of CEO supervillains are trapped in their own ideology | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 27, 2026 at 2:46 PM
Machine learning research is not serious research and therefore hallucinated references are not necessarily a big deal, agrees a prestigious group of machine learning researchers
statmodeling.stat.columbia.edu/2026/01/26/m...
Machine learning research is not serious research and therefore hallucinated references are not necessarily a big deal, agrees a prestigious group of machine learning researchers | Statistical Modeli...
statmodeling.stat.columbia.edu
January 27, 2026 at 1:13 AM
Science vs. superstition and the pluralist’s dilemma
statmodeling.stat.columbia.edu/2026/01/26/s...
Science vs. superstition and the pluralist’s dilemma | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 26, 2026 at 2:58 PM
Post-doc positions in Finland
statmodeling.stat.columbia.edu/2026/01/26/p...
Post-doc positions in Finland | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 26, 2026 at 2:21 PM
The myth of wage compensation for hazardous work rears its ugly head: This NYT article has been engineered to annoy economist Peter Dorman.
statmodeling.stat.columbia.edu/2026/01/25/t...
The myth of wage compensation for hazardous work rears its ugly head: This NYT article has been engineered to annoy economist Peter Dorman. | Statistical Modeling, Causal Inference, and Social Scien...
statmodeling.stat.columbia.edu
January 25, 2026 at 2:04 PM
“Harvard dean made $150,000 as witness in Tylenol suits”
statmodeling.stat.columbia.edu/2026/01/24/h...
“Harvard dean made $150,000 as witness in Tylenol suits” | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 24, 2026 at 2:40 PM
What’s the gender gap? Concerns about analyses using the Cooperative Election Study
statmodeling.stat.columbia.edu/2026/01/23/c...
What’s the gender gap? Concerns about analyses using the Cooperative Election Study | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 23, 2026 at 3:22 PM
A decision theorist walks into a seminar
statmodeling.stat.columbia.edu/2026/01/22/a...
A decision theorist walks into a seminar | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 23, 2026 at 12:49 AM
This paper in Management Science has been cited more than 6,000 times. Wall Street execs, top govt officials, and even a former U.S. Vice President have all referenced it. It’s fatally flawed, and the scholarly community refuses to do anything about it.
statmodeling.stat.columbia.edu/2026/01/22/a...
This paper in Management Science has been cited more than 6,000 times. Wall Street executives, top government officials, and even a former U.S. Vice President have all referenced it. It’s fatally fl...
statmodeling.stat.columbia.edu
January 22, 2026 at 2:31 PM
What, a coincidence? What a coincidence!
statmodeling.stat.columbia.edu/2026/01/21/w...
What, a coincidence? What a coincidence! | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 21, 2026 at 10:32 PM
200,000 comments
statmodeling.stat.columbia.edu/2026/01/21/2...
200,000 comments | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 21, 2026 at 2:28 PM
Survey Statistics: Total Margin of Error
statmodeling.stat.columbia.edu/2026/01/20/s...
Survey Statistics: Total Margin of Error | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 21, 2026 at 1:38 AM
Once more about the z-curve method
statmodeling.stat.columbia.edu/2026/01/20/o...
Once more about the z-curve method | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 20, 2026 at 6:30 PM
Two workflow challenges from 2012 that were solved as a byproduct of something else
statmodeling.stat.columbia.edu/2026/01/20/t...
Two workflow challenges from 2012 that were solved as a byproduct of something else | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 20, 2026 at 2:58 PM
Seeking feedback from clinicians on AI as diagnostic decision support
statmodeling.stat.columbia.edu/2026/01/19/s...
Seeking feedback from clinicians on AI as diagnostic decision support | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 19, 2026 at 9:52 PM
Noem’s Razor: Never attribute to stupidity that which is adequately explained by malice.
statmodeling.stat.columbia.edu/2026/01/19/n...
Noem’s Razor: Never attribute to stupidity that which is adequately explained by malice. | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 19, 2026 at 2:23 PM
Retroactively Validated Hype
statmodeling.stat.columbia.edu/2026/01/18/r...
Retroactively Validated Hype | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 18, 2026 at 2:09 PM
“Coding for humans: Best practices for writing software people can read”
statmodeling.stat.columbia.edu/2026/01/17/c...
“Coding for humans: Best practices for writing software people can read” | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 17, 2026 at 2:33 PM
Don’t get any on you
statmodeling.stat.columbia.edu/2026/01/16/d...
Don’t get any on you | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 17, 2026 at 12:59 PM
More concerns about the z-curve method
statmodeling.stat.columbia.edu/2026/01/16/m...
More concerns about the z-curve method | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 16, 2026 at 10:01 PM
Survey Statistics: Margin of Error
statmodeling.stat.columbia.edu/2026/01/13/s...
Survey Statistics: Margin of Error | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 16, 2026 at 10:00 PM
Some questions and ideas about initialization for ADVI
statmodeling.stat.columbia.edu/2026/01/16/s...
Some questions and ideas about initialization for ADVI | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 16, 2026 at 3:32 PM
FDA guidance on Bayesian clinical trials
statmodeling.stat.columbia.edu/2026/01/15/f...
FDA guidance on Bayesian clinical trials | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 15, 2026 at 4:50 PM
Horseshoe theory meets cost-benefit analysis. Horseshoe wins.
statmodeling.stat.columbia.edu/2026/01/15/h...
Horseshoe theory meets cost-benefit analysis. Horseshoe wins. | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 15, 2026 at 4:11 PM
1 quick tip to improving student participation in your class (motivated by a principle in poker)
statmodeling.stat.columbia.edu/2026/01/14/1...
1 quick tip to improving student participation in your class (motivated by a principle in poker) | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
January 14, 2026 at 3:01 PM