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Andrew Gelman et al.
@statmodeling.bsky.social
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Andrew Gelman et al. @statmodeling.bsky.social · 5h
7 reasons to use Bayesian inference!
statmodeling.stat.columbia.edu/2025/10/11/7...
7 reasons to use Bayesian inference! | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 1d
Columbia fake U.S. News statistics update: They paid $9 million and are still, bizarrely, refusing to admit misreporting of data, even though everybody knows they misreported data.
statmodeling.stat.columbia.edu/2025/10/10/c...
Columbia fake U.S. News statistics update: They paid $9 million and are still, bizarrely, refusing to admit misreporting of data, even though everybody knows they misreported data. | Statistical Mod...
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Andrew Gelman et al. @statmodeling.bsky.social · 2d
The worst research papers I’ve ever published
statmodeling.stat.columbia.edu/2025/10/09/t...
The worst research papers I’ve ever published | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 3d
Prior distributions for regression coefficients
statmodeling.stat.columbia.edu/2025/10/08/p...
Prior distributions for regression coefficients | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 3d
Selection bias in junk science: Which junk science gets a hearing?
statmodeling.stat.columbia.edu/2025/10/08/s...
Selection bias in junk science: Which junk science gets a hearing? | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 3d
Aki looking for a doctoral student to develop Bayesian workflow
statmodeling.stat.columbia.edu/2025/10/08/a...
Aki looking for a doctoral student to develop Bayesian workflow | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 3d
Survey Statistics: struggles with equivalent weights
statmodeling.stat.columbia.edu/2025/10/07/s...
Survey Statistics: struggles with equivalent weights | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 4d
Historical American Political Finance Data at the National Archives
statmodeling.stat.columbia.edu/2025/10/07/w...
Historical American Political Finance Data at the National Archives | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 4d
“300 Paintings”
statmodeling.stat.columbia.edu/2025/10/06/3...
“300 Paintings” | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 5d
When rich people believe, or pretend to believe, stupid things (tennis edition)
statmodeling.stat.columbia.edu/2025/10/06/w...
When rich people believe, or pretend to believe, stupid things (tennis edition) | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 5d
Uncanny academic valley: Brian Wansink as proto-chatbot
statmodeling.stat.columbia.edu/2025/10/05/u...
Uncanny academic valley: Brian Wansink as proto-chatbot | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 7d
Unusual consulting request
statmodeling.stat.columbia.edu/2025/10/04/u...
Unusual consulting request | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 7d
It’s a JAX, JAX, JAX, JAX World
statmodeling.stat.columbia.edu/2025/10/03/i...
It’s a JAX, JAX, JAX, JAX World | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 8d
Adding noise to the data to reduce overfitting . . . How does that work?
statmodeling.stat.columbia.edu/2025/10/03/a...
Adding noise to the data to reduce overfitting . . . How does that work? | Statistical Modeling, Causal Inference, and Social Science
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Andrew Gelman et al. @statmodeling.bsky.social · 9d
“It’s horrible that they’re sucking young researchers into this vortex. It’s Gigo and Gresham all the way down.”
statmodeling.stat.columbia.edu/2025/10/02/i...
“It’s horrible that they’re sucking young researchers into this vortex. It’s Gigo and Gresham all the way down.” | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 10d
Yes, your single vote really can make a difference! (in Canada)
statmodeling.stat.columbia.edu/2025/10/01/y...
Yes, your single vote really can make a difference! (in Canada) | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 10d
Survey Statistics: beyond balancing
statmodeling.stat.columbia.edu/2025/09/30/s...
Survey Statistics: beyond balancing | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 11d
“Dangerous Fictions” and the norm of entertainment
statmodeling.stat.columbia.edu/2025/09/30/d...
“Dangerous Fictions” and the norm of entertainment | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 11d
Behind-the-Scenes Seminar on social science this Fri 3 Oct
statmodeling.stat.columbia.edu/2025/09/29/b...
Behind-the-Scenes Seminar on social science this Fri 3 Oct | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 12d
Game theory corner: did Eric Adams play his hand well? (It's a little like Murder on the Orient Express, it's a little like The Sting.)
statmodeling.stat.columbia.edu/2025/09/29/d...
Game theory corner: did Eric Adams play his hand well? (It’s a little like Murder on the Orient Express, it’s a little like The Sting.) | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 13d
“Veridical (truthful) Data Science”: Another way of looking at statistical workflow
statmodeling.stat.columbia.edu/2025/09/28/v...
“Veridical (truthful) Data Science”: Another way of looking at statistical workflow | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 14d
In music, literature, and technical writing, the relation of large-scale structure to the local action
statmodeling.stat.columbia.edu/2025/09/27/5...
In music, literature, and technical writing, the relation of large-scale structure to the local action | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 15d
A Selective History of Political Polling and Election Forecasting
statmodeling.stat.columbia.edu/2025/09/26/a...
A Selective History of Political Polling and Election Forecasting | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 15d
The Dodgers are hiring
statmodeling.stat.columbia.edu/2025/09/25/t...
The Dodgers are hiring | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
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Andrew Gelman et al. @statmodeling.bsky.social · 16d
“On the poor statistical properties of the P-curve meta-analytic procedure”
statmodeling.stat.columbia.edu/2025/09/25/o...
“On the poor statistical properties of the P-curve meta-analytic procedure” | Statistical Modeling, Causal Inference, and Social Science
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