Andrew Gelman et al. (@statmodeling) Bsky

“Making Your Research Free May Cost You” | Statistical Modeling, Causal Inference, and Social Science

“Making Your Research Free May Cost You”
statmodeling.stat.columbia.edu/2026/04/18/m...

8 hours ago 5 1 0 1

In ML, everyone’s Humpty Dumpty | Statistical Modeling, Causal Inference, and Social Science

In ML, everyone’s Humpty Dumpty
statmodeling.stat.columbia.edu/2026/04/17/i...

12 hours ago 5 2 0 3

Fascinating 1981 interview with Morris Kline, author of the classic book, Mathematics: The Loss of Certainty | Statistical Modeling, Causal Inference, and Social Science

Fascinating 1981 interview with Morris Kline, author of the classic book, Mathematics: The Loss of Certainty
statmodeling.stat.columbia.edu/2026/04/17/f...

1 day ago 2 2 0 0

The Bayesian Workflow book is coming! | Statistical Modeling, Causal Inference, and Social Science

The Bayesian Workflow book is coming!
statmodeling.stat.columbia.edu/2026/04/16/t...

2 days ago 37 14 0 1

Can you hit a home run off of Paul Skenes? | Statistical Modeling, Causal Inference, and Social Science

Can you hit a home run off of Paul Skenes?
statmodeling.stat.columbia.edu/2026/04/15/c...

3 days ago 2 1 0 0

Survey Statistics: irrelevant alternatives ?
statmodeling.stat.columbia.edu/2026/04/14/s...

3 days ago 2 0 0 2

Epistemic Virtues for Science in the Age of Automation | Statistical Modeling, Causal Inference, and Social Science This is Jessica. Back in the 1980s, novelist Italo Calvino developed a series of six lectures describing literary virtues he felt should be enduring regardless of how the world changed: lightness, quickness, exactitude, visibility, mulitiplicity, and consistency. These were published as “Six Memos for the Next Millenium” in 1993.

Epistemic Virtues for Science in the Age of Automation
statmodeling.stat.columbia.edu/2026/04/14/e...

4 days ago 7 2 0 2

How to report a N=12 study? | Statistical Modeling, Causal Inference, and Social Science

How to report a N=12 study?
statmodeling.stat.columbia.edu/2026/04/14/h...

4 days ago 6 2 0 0

Which beliefs are considered acceptable and which are not? | Statistical Modeling, Causal Inference, and Social Science

Which beliefs are considered acceptable and which are not?
statmodeling.stat.columbia.edu/2026/04/13/w...

5 days ago 5 0 0 1

All graphs are comparisons, and the relevance of this principle to practical advice for producing better graphs | Statistical Modeling, Causal Inference, and Social Science

All graphs are comparisons, and the relevance of this principle to practical advice for producing better graphs
statmodeling.stat.columbia.edu/2026/04/12/a...

6 days ago 12 5 1 0

“The FTC does not have our backs, that much is clear”
statmodeling.stat.columbia.edu/2026/04/11/t...

1 week ago 6 1 0 0

Here’s a story from Australia: There were so many problems with the survey that the government didn’t release the data. | Statistical Modeling, Causal Inference, and Social Science

Here’s a story from Australia: There were so many problems with the survey that the government didn’t release the data.
statmodeling.stat.columbia.edu/2026/04/11/h...

1 week ago 3 1 0 0

The internet of poop | Statistical Modeling, Causal Inference, and Social Science Who are these customers who would pay $600 + $6.99/month to have toilet cam photos uploaded to a consumer-products company?

The internet of poop
statmodeling.stat.columbia.edu/2026/04/10/t...

1 week ago 1 0 0 0

An application for training deep learning models in your browser | Statistical Modeling, Causal Inference, and Social Science I’m not sure if you have any experience with building deep learning models, but there’s a data generation component which you might find interesting. The data generation wasn’t meant to be very complex but I’d be interested if you have suggestions for improvement.

An application for training deep learning models in your browser
statmodeling.stat.columbia.edu/2026/04/09/a...

1 week ago 4 1 1 0

Updike in Tehran | Statistical Modeling, Causal Inference, and Social Science

Updike in Tehran
statmodeling.stat.columbia.edu/2026/04/08/u...

1 week ago 3 0 0 0

Survey Statistics: improving with structure | Statistical Modeling, Causal Inference, and Social Science

Survey Statistics: improving with structure
statmodeling.stat.columbia.edu/2026/04/07/s...

1 week ago 5 0 0 1

My talk at Stanford later this month: “What to do when your estimate is 1 standard error away from 0?” | Statistical Modeling, Causal Inference, and Social Science

My talk at Stanford later this month: “What to do when your estimate is 1 standard error away from 0?”
statmodeling.stat.columbia.edu/2026/04/07/m...

1 week ago 2 0 0 1

My (uninformed and completely speculative) theory about Jeff Bezos and the Washington Post | Statistical Modeling, Causal Inference, and Social Science

My (uninformed and completely speculative) theory about Jeff Bezos and the Washington Post
statmodeling.stat.columbia.edu/2026/04/06/m...

1 week ago 1 0 0 0

How do political organizations and politically-minded rich people translate money into media influence? Differently than they used to. | Statistical Modeling, Causal Inference, and Social Science

How do political organizations and politically-minded rich people translate money into media influence? Differently than they used to.
statmodeling.stat.columbia.edu/2026/04/05/h...

1 week ago 6 3 0 0

Campus newspapers and what remains of journalism | Statistical Modeling, Causal Inference, and Social Science

Campus newspapers and what remains of journalism
statmodeling.stat.columbia.edu/2026/04/04/c...

2 weeks ago 8 1 2 0

I love the library–you never know what you’re gonna find there. | Statistical Modeling, Causal Inference, and Social Science

I love the library–you never know what you’re gonna find there.
statmodeling.stat.columbia.edu/2026/04/03/i...

2 weeks ago 3 1 0 0

Is your model converging? | Statistical Modeling, Causal Inference, and Social Science

Is your model converging?
statmodeling.stat.columbia.edu/2026/04/02/i...

2 weeks ago 7 2 0 1

Shameless plug alert: Win prizes by forecasting real healthcare data to help UK’s health service save lives | Statistical Modeling, Causal Inference, and Social Science

Shameless plug alert: Win prizes by forecasting real healthcare data to help UK’s health service save lives
statmodeling.stat.columbia.edu/2026/04/01/s...

2 weeks ago 6 2 0 0

Hey! Here’s a great money making opportunity using the lottery. And it’s endorsed by Google, Apple, Yahoo, Morningstar, and Microsoft! | Statistical Modeling, Causal Inference, and Social Science

Hey! Here’s a great money making opportunity using the lottery. And it’s endorsed by Google, Apple, Yahoo, Morningstar, and Microsoft!
statmodeling.stat.columbia.edu/2026/04/01/t...

2 weeks ago 0 0 1 0

Black and white, gray and in between: What color is the media? | Statistical Modeling, Causal Inference, and Social Science

Black and white, gray and in between: What color is the media?
statmodeling.stat.columbia.edu/2026/03/31/b...

2 weeks ago 1 0 0 0

Survey Statistics: design-based cross validation (dCV) | Statistical Modeling, Causal Inference, and Social Science

Survey Statistics: design-based cross validation (dCV)
statmodeling.stat.columbia.edu/2026/03/31/s...

2 weeks ago 5 0 0 1

The point of yesterday’s post on the three ways of attacking a statistical problem | Statistical Modeling, Causal Inference, and Social Science

The point of yesterday’s post on the three ways of attacking a statistical problem
statmodeling.stat.columbia.edu/2026/03/31/t...

2 weeks ago 2 0 0 0

Looking for a postdoc to teach and develop Bayesian methods | Statistical Modeling, Causal Inference, and Social Science

Looking for a postdoc to teach and develop Bayesian methods
statmodeling.stat.columbia.edu/2026/03/31/l...

2 weeks ago 7 11 0 0

These are the three ways of attacking a statistical problem (illustrated with the NFL example) | Statistical Modeling, Causal Inference, and Social Science

These are the three ways of attacking a statistical problem (illustrated with the NFL example)
statmodeling.stat.columbia.edu/2026/03/30/t...

2 weeks ago 5 0 0 0

“12-dimensional chess” | Statistical Modeling, Causal Inference, and Social Science

“12-dimensional chess”
statmodeling.stat.columbia.edu/2026/03/29/1...

2 weeks ago 6 1 0 0

Posts by Andrew Gelman et al.