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Andrew Gelman et al.

@statmodeling.bsky.social
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Andrew Gelman et al. @statmodeling.bsky.social · 3h
Prior distributions, partial pooling, and reference sets (Bayesians are frequentists) statmodeling.stat.columbia.edu/2026/09/30/p...
statmodeling.stat.columbia.edu
Prior distributions, partial pooling, and reference sets (Bayesians are frequentists) | Statistical Modeling, Causal Inference, and Social Science
061
Andrew Gelman et al. @statmodeling.bsky.social · 3h
Survey Statistics: ANOVA follow-up statmodeling.stat.columbia.edu/2026/09/29/s...
statmodeling.stat.columbia.edu
Survey Statistics: ANOVA follow-up | Statistical Modeling, Causal Inference, and Social Science
010
Andrew Gelman et al. @statmodeling.bsky.social · 29/09/2026
Is it true that “AI Chooses Nuclear Option in 95% of War Simulations”? statmodeling.stat.columbia.edu/2026/09/29/a...
statmodeling.stat.columbia.edu
Is it true that “AI Chooses Nuclear Option in 95% of War Simulations”? | Statistical Modeling, Causal Inference, and Social Science
141
Andrew Gelman et al. @statmodeling.bsky.social · 28/09/2026
A nonlinear effect plus measurement error in x becomes close to linear: A simulation study statmodeling.stat.columbia.edu/2026/09/28/a...
statmodeling.stat.columbia.edu
A nonlinear effect plus measurement error in x becomes close to linear: A simulation study | Statistical Modeling, Causal Inference, and Social Science
051
Andrew Gelman et al. @statmodeling.bsky.social · 27/09/2026
Survey of academic bureaucracy statmodeling.stat.columbia.edu/2026/09/27/s...
statmodeling.stat.columbia.edu
Survey of academic bureaucracy | Statistical Modeling, Causal Inference, and Social Science
031
Andrew Gelman et al. @statmodeling.bsky.social · 27/09/2026
I guess this is what they mean when they talk about “reactionary centrism”: Corruption of government facilitated by enablers in intellectual society statmodeling.stat.columbia.edu/2026/09/27/c...
statmodeling.stat.columbia.edu
I guess this is what they mean when they talk about “reactionary centrism”: Corruption of government facilitated by enablers in intellectual society | Statistical Modeling, Causal Inference, and Soc...
021
Andrew Gelman et al. @statmodeling.bsky.social · 26/09/2026
As a society, we are pretty good at transferring money to political pundits, but we’re not very good at nurturing the human capital they would need to correct their own mistakes. statmodeling.stat.columbia.edu/2026/09/26/a...
statmodeling.stat.columbia.edu
As a society, we are pretty good at transferring money to political pundits, but we’re not very good at nurturing the human capital they would need to correct their own mistakes. | Statistical Modeli...
030
Andrew Gelman et al. @statmodeling.bsky.social · 25/09/2026
Postdoc hiring season at Flatiron statmodeling.stat.columbia.edu/2026/09/25/p...
statmodeling.stat.columbia.edu
Postdoc hiring season at Flatiron | Statistical Modeling, Causal Inference, and Social Science
010
Andrew Gelman et al. @statmodeling.bsky.social · 25/09/2026
They were trying to convince everybody to have 3 kids statmodeling.stat.columbia.edu/2026/09/25/5...
statmodeling.stat.columbia.edu
They were trying to convince everybody to have 3 kids | Statistical Modeling, Causal Inference, and Social Science
000
Andrew Gelman et al. @statmodeling.bsky.social · 24/09/2026
It’s fine to use computer-generated survey responses—if you don’t care about the data anyway! statmodeling.stat.columbia.edu/2026/09/24/j...
statmodeling.stat.columbia.edu
It’s fine to use computer-generated survey responses—if you don’t care about the data anyway! | Statistical Modeling, Causal Inference, and Social Science
071
Andrew Gelman et al. @statmodeling.bsky.social · 23/09/2026
Here’s a causal inference problem: where did the estimate of $64 million come from in “Blake Lively Says She Suffered $64 Million Financial Fallout From Justin Baldoni Conflict . . .”? statmodeling.stat.columbia.edu/2026/09/23/h...
statmodeling.stat.columbia.edu
Here’s a causal inference problem: where did the estimate of $64 million come from in “Blake Lively Says She Suffered $64 Million Financial Fallout From Justin Baldoni Conflict . . .”? | Statistical...
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Andrew Gelman et al. @statmodeling.bsky.social · 23/09/2026
Survey Statistics: Fat Bear Week 2026 statmodeling.stat.columbia.edu/2026/09/22/s...
statmodeling.stat.columbia.edu
Survey Statistics: Fat Bear Week 2026 | Statistical Modeling, Causal Inference, and Social Science
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Andrew Gelman et al. @statmodeling.bsky.social · 22/09/2026
“Phonics is a fad, but it’s also good, so we should do it anyway, even though it will probably disappoint people” statmodeling.stat.columbia.edu/2026/09/22/p...
statmodeling.stat.columbia.edu
“Phonics is a fad, but it’s also good, so we should do it anyway, even though it will probably disappoint people” | Statistical Modeling, Causal Inference, and Social Science
042
Andrew Gelman et al. @statmodeling.bsky.social · 21/09/2026
Do high school students have to work harder nowadays? statmodeling.stat.columbia.edu/2026/09/21/d...
statmodeling.stat.columbia.edu
Do high school students have to work harder nowadays? | Statistical Modeling, Causal Inference, and Social Science
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Andrew Gelman et al. @statmodeling.bsky.social · 20/09/2026
How did it go, this prediction from ten years ago about Japanese fertility in 2026? statmodeling.stat.columbia.edu/2026/09/20/h...
statmodeling.stat.columbia.edu
How did it go, this prediction from ten years ago about Japanese fertility in 2026? | Statistical Modeling, Causal Inference, and Social Science
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Andrew Gelman et al. @statmodeling.bsky.social · 19/09/2026
The Immigration and Nationality Act of 1952 statmodeling.stat.columbia.edu/2026/09/19/t...
statmodeling.stat.columbia.edu
The Immigration and Nationality Act of 1952 | Statistical Modeling, Causal Inference, and Social Science
010
Andrew Gelman et al. @statmodeling.bsky.social · 18/09/2026
Meritocracy to-morrow and meritocracy yesterday – but never meritocracy to-day statmodeling.stat.columbia.edu/2026/09/18/m...
statmodeling.stat.columbia.edu
Meritocracy to-morrow and meritocracy yesterday – but never meritocracy to-day | Statistical Modeling, Causal Inference, and Social Science
050
Andrew Gelman et al. @statmodeling.bsky.social · 17/09/2026
Scientific citations as an overwhelmed communication channel statmodeling.stat.columbia.edu/2026/09/17/s...
statmodeling.stat.columbia.edu
Scientific citations as an overwhelmed communication channel | Statistical Modeling, Causal Inference, and Social Science
062
Andrew Gelman et al. @statmodeling.bsky.social · 16/09/2026
It’s satisfying to see the economics profession come around on some things (regression discontinuity analysis and so-called risk aversion) statmodeling.stat.columbia.edu/2026/09/16/i...
statmodeling.stat.columbia.edu
It’s satisfying to see the economics profession come around on some things (regression discontinuity analysis and so-called risk aversion) | Statistical Modeling, Causal Inference, and Social Science...
030
Andrew Gelman et al. @statmodeling.bsky.social · 16/09/2026
Charting the Agentic Garden of Forking Paths statmodeling.stat.columbia.edu/2026/09/15/c...
statmodeling.stat.columbia.edu
Charting the Agentic Garden of Forking Paths | Statistical Modeling, Causal Inference, and Social Science
041
Andrew Gelman et al. @statmodeling.bsky.social · 15/09/2026
Survey Statistics: ANOVA statmodeling.stat.columbia.edu/2026/09/15/s...
statmodeling.stat.columbia.edu
Survey Statistics: ANOVA | Statistical Modeling, Causal Inference, and Social Science
010
Andrew Gelman et al. @statmodeling.bsky.social · 15/09/2026
“Protection from inappropriate influence is a hallmark of scientific integrity” . . . not any more! statmodeling.stat.columbia.edu/2026/09/15/p...
statmodeling.stat.columbia.edu
“Protection from inappropriate influence is a hallmark of scientific integrity” . . . not any more! | Statistical Modeling, Causal Inference, and Social Science
011
Andrew Gelman et al. @statmodeling.bsky.social · 15/09/2026
The Washington Nationals are hiring! statmodeling.stat.columbia.edu/2026/09/14/t...
statmodeling.stat.columbia.edu
The Washington Nationals are hiring! | Statistical Modeling, Causal Inference, and Social Science
042
Andrew Gelman et al. @statmodeling.bsky.social · 15/09/2026
New York City Psychometrics Group statmodeling.stat.columbia.edu/2026/09/14/n...
statmodeling.stat.columbia.edu
New York City Psychometrics Group | Statistical Modeling, Causal Inference, and Social Science
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Andrew Gelman et al. @statmodeling.bsky.social · 14/09/2026
This is how we do modern frequentist statistics: Using fake-data simulation to understand what can happen in a study statmodeling.stat.columbia.edu/2026/09/14/t...
statmodeling.stat.columbia.edu
This is how we do modern frequentist statistics: Using fake-data simulation to understand what can happen in a study | Statistical Modeling, Causal Inference, and Social Science
1185
Andrew Gelman et al. @statmodeling.bsky.social · 13/09/2026
What’s happening with the models of the Atlantic Meridional Overturning Circulation? statmodeling.stat.columbia.edu/2026/09/13/w...
statmodeling.stat.columbia.edu
What’s happening with the models of the Atlantic Meridional Overturning Circulation? | Statistical Modeling, Causal Inference, and Social Science
041
Andrew Gelman et al. @statmodeling.bsky.social · 12/09/2026
Annals of hype: Did this discovery in 2012 mark “the discovery of the final laws of nature . . . a discontinuity in human intellectual history, the sharpest that has occurred since the beginning of modern science in the 17th century?” statmodeling.stat.columbia.edu/2026/09/12/d...
statmodeling.stat.columbia.edu
Annals of hype: Did this discovery in 2012 mark “the discovery of the final laws of nature . . . a discontinuity in human intellectual history, the sharpest that has occurred since the beginning of ...
042
Andrew Gelman et al. @statmodeling.bsky.social · 11/09/2026
Why I don’t like highest posterior density (HPD) intervals statmodeling.stat.columbia.edu/2026/09/11/w...
statmodeling.stat.columbia.edu
Why I don’t like highest posterior density (HPD) intervals | Statistical Modeling, Causal Inference, and Social Science
083
Andrew Gelman et al. @statmodeling.bsky.social · 11/09/2026
“Belief” is not something you have; rather, it’s a relationship between thought and action. statmodeling.stat.columbia.edu/2026/09/11/b...
statmodeling.stat.columbia.edu
“Belief” is not something you have; rather, it’s a relationship between thought and action. | Statistical Modeling, Causal Inference, and Social Science
050
Andrew Gelman et al. @statmodeling.bsky.social · 10/09/2026
When journals are slow to implement or enforce policies to manage sloppy, majority AI-authored papers, reviewers can and should push back statmodeling.stat.columbia.edu/2026/09/10/w...
statmodeling.stat.columbia.edu
When journals are slow to implement or enforce policies to manage sloppy, majority AI-authored papers, reviewers can and should push back | Statistical Modeling, Causal Inference, and Social Science...
033
Andrew Gelman et al. @statmodeling.bsky.social · 10/09/2026
Why I still like Orwell’s “Politics and the English Language” essay (even though he gets some of the linguistics wrong) statmodeling.stat.columbia.edu/2026/09/10/w...
statmodeling.stat.columbia.edu
Why I still like Orwell’s “Politics and the English Language” essay (even though he gets some of the linguistics wrong) | Statistical Modeling, Causal Inference, and Social Science
000
Andrew Gelman et al. @statmodeling.bsky.social · 09/09/2026
Living on the Edge: Aggressive mediocrity at the summit of America’s intellectual culture statmodeling.stat.columbia.edu/2026/09/09/l...
statmodeling.stat.columbia.edu
Living on the Edge: Aggressive mediocrity at the summit of America’s intellectual culture | Statistical Modeling, Causal Inference, and Social Science
030
Andrew Gelman et al. @statmodeling.bsky.social · 09/09/2026
Survey Statistics: Pew Research finds “No Easy Fix for Bogus Respondents in Online Opt-In Polls” statmodeling.stat.columbia.edu/2026/09/08/s...
statmodeling.stat.columbia.edu
Survey Statistics: Pew Research finds “No Easy Fix for Bogus Respondents in Online Opt-In Polls” | Statistical Modeling, Causal Inference, and Social Science
083
Andrew Gelman et al. @statmodeling.bsky.social · 08/09/2026
Hey–here’s an R package for imputing Census data using iterative proportional fitting on available margins. statmodeling.stat.columbia.edu/2026/09/08/h...
statmodeling.stat.columbia.edu
Hey–here’s an R package for imputing Census data using iterative proportional fitting on available margins. | Statistical Modeling, Causal Inference, and Social Science
040
Andrew Gelman et al. @statmodeling.bsky.social · 07/09/2026
“In the Weights”—an exclusive invitation just for you! statmodeling.stat.columbia.edu/2026/09/07/h...
statmodeling.stat.columbia.edu
“In the Weights”—an exclusive invitation just for you! | Statistical Modeling, Causal Inference, and Social Science
000
Andrew Gelman et al. @statmodeling.bsky.social · 06/09/2026
Does anyone have lower Jordan3 number than Evans Boney? (And what about the Ariely-Armstrong-Enron number?) statmodeling.stat.columbia.edu/2026/09/06/d...
statmodeling.stat.columbia.edu
Does anyone have lower Jordan3 number than Evans Boney? (And what about the Ariely-Armstrong-Enron number?) | Statistical Modeling, Causal Inference, and Social Science
020
Andrew Gelman et al. @statmodeling.bsky.social · 05/09/2026
OK, here’s a statistics problem for you, ripped directly from the headlines! statmodeling.stat.columbia.edu/2026/09/05/o...
statmodeling.stat.columbia.edu
OK, here’s a statistics problem for you, ripped directly from the headlines! | Statistical Modeling, Causal Inference, and Social Science
061
Andrew Gelman et al. @statmodeling.bsky.social · 04/09/2026
Update on U.S. government’s Soviet-style push for “gold standard science” statmodeling.stat.columbia.edu/2026/09/04/u...
statmodeling.stat.columbia.edu
Update on U.S. government’s Soviet-style push for “gold standard science” | Statistical Modeling, Causal Inference, and Social Science
020
Andrew Gelman et al. @statmodeling.bsky.social · 03/09/2026
Update on “I don’t understand this paper claiming election fraud in 2024 in Pennsylvania” statmodeling.stat.columbia.edu/2026/09/03/u...
statmodeling.stat.columbia.edu
Update on “I don’t understand this paper claiming election fraud in 2024 in Pennsylvania” | Statistical Modeling, Causal Inference, and Social Science
032
Andrew Gelman et al. @statmodeling.bsky.social · 03/09/2026
Updike and statistical writing; more on honesty and precision statmodeling.stat.columbia.edu/2026/09/03/u...
statmodeling.stat.columbia.edu
Updike and statistical writing; more on honesty and precision | Statistical Modeling, Causal Inference, and Social Science
020
Andrew Gelman et al. @statmodeling.bsky.social · 03/09/2026
Confirmation bias in software testing, Walnutpie edition statmodeling.stat.columbia.edu/2026/09/02/c...
statmodeling.stat.columbia.edu
Confirmation bias in software testing, Walnutpie edition | Statistical Modeling, Causal Inference, and Social Science
070
Andrew Gelman et al. @statmodeling.bsky.social · 02/09/2026
Metascience corner: What can we learn from 12 million empirical research results? statmodeling.stat.columbia.edu/2026/09/02/m...
statmodeling.stat.columbia.edu
Metascience corner: What can we learn from 12 million empirical research results? | Statistical Modeling, Causal Inference, and Social Science
083
Andrew Gelman et al. @statmodeling.bsky.social · 02/09/2026
Yale med school prof tells his postdocs: Work extra hours at my command or you’re no better than “the guy who charges me by the hour to cut my lawn.” statmodeling.stat.columbia.edu/2026/09/02/y...
statmodeling.stat.columbia.edu
Yale med school prof tells his postdocs: Work extra hours at my command or you’re no better than “the guy who charges me by the hour to cut my lawn.” | Statistical Modeling, Causal Inference, and So...
062
Andrew Gelman et al. @statmodeling.bsky.social · 02/09/2026
Survey Statistics: logit shift and raking statmodeling.stat.columbia.edu/2026/09/01/s...
statmodeling.stat.columbia.edu
Survey Statistics: logit shift and raking | Statistical Modeling, Causal Inference, and Social Science
010
Andrew Gelman et al. @statmodeling.bsky.social · 01/09/2026
Updike’s kaleidoscope: Telling a life through a set of unconnected stories statmodeling.stat.columbia.edu/2026/09/01/u...
statmodeling.stat.columbia.edu
Updike’s kaleidoscope: Telling a life through a set of unconnected stories | Statistical Modeling, Causal Inference, and Social Science
020
Andrew Gelman et al. @statmodeling.bsky.social · 31/08/2026
I am shocked, shocked to learn that this 2002 paper by Dan Ariely is based on dubious data and doesn’t replicate. statmodeling.stat.columbia.edu/2026/08/31/s...
statmodeling.stat.columbia.edu
I am shocked, shocked to learn that this 2002 paper by Dan Ariely is based on dubious data and doesn’t replicate. | Statistical Modeling, Causal Inference, and Social Science
26421
Andrew Gelman et al. @statmodeling.bsky.social · 31/08/2026
Do children grow continuously or do they grow in fits and starts? statmodeling.stat.columbia.edu/2026/08/31/f...
statmodeling.stat.columbia.edu
Do children grow continuously or do they grow in fits and starts? | Statistical Modeling, Causal Inference, and Social Science
001
Andrew Gelman et al. @statmodeling.bsky.social · 30/08/2026
Coyote vs. Acme (also, for free, my take on The Odyssey) statmodeling.stat.columbia.edu/2026/08/30/c...
statmodeling.stat.columbia.edu
Coyote vs. Acme (also, for free, my take on The Odyssey) | Statistical Modeling, Causal Inference, and Social Science
020
Andrew Gelman et al. @statmodeling.bsky.social · 29/08/2026
“Why did ANOVA fall out of fashion?” statmodeling.stat.columbia.edu/2026/08/29/w...
statmodeling.stat.columbia.edu
“Why did ANOVA fall out of fashion?” | Statistical Modeling, Causal Inference, and Social Science
0184
Andrew Gelman et al. @statmodeling.bsky.social · 28/08/2026
What stories should we tell about science now? statmodeling.stat.columbia.edu/2026/08/28/w...
statmodeling.stat.columbia.edu
What stories should we tell about science now? | Statistical Modeling, Causal Inference, and Social Science
060