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Input feed: Statistical Modeling, Causal Inference, and Social Science

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The value of remembering past failures: the example of Mars One

https://statmodeling.stat.columbia.edu/2025/03/10/the-value-of-remembering-past-failures-the-example-of-mars-one/

Statistical Modeling, Causal Inference, and Social Science 03/10/2025

miscellaneous
70,000 Assyrians

https://statmodeling.stat.columbia.edu/2025/03/09/70000-assyrians-2/

Statistical Modeling, Causal Inference, and Social Science 03/09/2025

literature
“A Post Mortem on the Gino Case”: “Committing fraud is, right now, a viable career strategy that can propel you at the top of the academic world.”

https://statmodeling.stat.columbia.edu/2025/03/08/a-post-mortem-on-the-gino-case-committing-fraud-is-right-now-a-viable-career-strategy-that-can-propel-you-at-the-top-of-the-academic-world/

Statistical Modeling, Causal Inference, and Social Science 03/08/2025

analysis
The answer to the how-many-significant-digits problem is the same as the answer to the what-to-graph problem: The click-through solution

https://statmodeling.stat.columbia.edu/2025/03/07/the-answer-to-the-how-many-significant-digits-problem-is-the-same-as-the-answer-to-the-what-to-graph-problem-the-click-through-solution/

Statistical Modeling, Causal Inference, and Social Science 03/07/2025

graphics
Playing music, listening to music, background music, talking about music

https://statmodeling.stat.columbia.edu/2025/03/06/playing-music-listening-to-music-background-music-talking-about-music/

Statistical Modeling, Causal Inference, and Social Science 03/06/2025

art
No, an election forecast that’s 50-50 is not “giving up.” No, the election forecasters in 2024 did not say, “Whatever happened, it was supposed to be razor thin.”

https://statmodeling.stat.columbia.edu/2025/03/05/no-an-election-forecast-thats-50-50-is-not-giving-up-no-the-election-forecasters-in-2024-did-not-say-whatever-happened-it-was-supposed-to-be-razor-thin/

Statistical Modeling, Causal Inference, and Social Science 03/05/2025

miscellaneous
My desert island discs

https://statmodeling.stat.columbia.edu/2025/03/04/my-desert-island-discs/

Statistical Modeling, Causal Inference, and Social Science 03/04/2025

art
Looking at your watch a third time waiting in the station for the bus

https://statmodeling.stat.columbia.edu/2025/03/03/looking-at-your-watch-a-third-time-waiting-in-the-station-for-the-bus/

Statistical Modeling, Causal Inference, and Social Science 03/03/2025

analysis
“On or about December 2010 the behavioral sciences changed” and Eggers on The case against Hypothesis 1

https://statmodeling.stat.columbia.edu/2025/03/02/the-case-against-hypothesis-1/

Statistical Modeling, Causal Inference, and Social Science 03/02/2025

miscellaneous
Positive but not perfect correlations in novel-writing and psychometrics

https://statmodeling.stat.columbia.edu/2025/03/01/positive-but-not-perfect-correlations-in-novel-writing-and-psychometrics/

Statistical Modeling, Causal Inference, and Social Science 03/01/2025

literature
The R-squared on this is kinda low, no? (Nobel prize edition)

https://statmodeling.stat.columbia.edu/2025/02/28/the-r-squared-on-this-is-kinda-low-no/

Statistical Modeling, Causal Inference, and Social Science 02/28/2025

causal
Experts can see for miles; non-experts are walking around in the tall grass and can’t see past their next step. When it comes to geometry, I’m no expert.

https://statmodeling.stat.columbia.edu/2025/02/27/geometry-corner-i-got-no-intuition-about-this-one/

Statistical Modeling, Causal Inference, and Social Science 02/27/2025

miscellaneous
Our proposal for scheduled post-publication review: “Even if each review took twice the effort of the average pre-publication review, our system would add only 1 percent to the total reviewing effort, while providing important perspectives on papers representing more than one-quarter of the citations received by these influential journals.”

https://statmodeling.stat.columbia.edu/2025/02/26/pp/

Statistical Modeling, Causal Inference, and Social Science 02/26/2025

analysis
You can nominate someone for the American Statistical Association’s Excellence in Statistical Reporting Award

https://statmodeling.stat.columbia.edu/2025/02/25/you-can-nominate-someone-for-the-american-statistical-associations-excellence-in-statistical-reporting-award/

Statistical Modeling, Causal Inference, and Social Science 02/25/2025

miscellaneous
What is interesting writing and can LLMs create it?

https://statmodeling.stat.columbia.edu/2025/02/25/what-is-interesting-writing-and-can-llms-create-it/

Statistical Modeling, Causal Inference, and Social Science 02/25/2025

art
Beware scientists who don’t dogfood it.

https://statmodeling.stat.columbia.edu/2025/02/25/beware-scientists-who-dont-dogfood-it/

Statistical Modeling, Causal Inference, and Social Science 02/25/2025

miscellaneous
Entries due this Friday! Predict cherry blossom dates in five cities

https://statmodeling.stat.columbia.edu/2025/02/24/entries-due-this-friday-predict-cherry-blossom-dates-in-five-cities/

Statistical Modeling, Causal Inference, and Social Science 02/24/2025

miscellaneous
Fiction and standup comedy

https://statmodeling.stat.columbia.edu/2025/02/24/fiction-and-standup-comedy/

Statistical Modeling, Causal Inference, and Social Science 02/24/2025

literature
Commissars screwing with the U.S. government don’t want us to see the data

https://statmodeling.stat.columbia.edu/2025/02/23/whats-going-on-with-the-u-s-government/

Statistical Modeling, Causal Inference, and Social Science 02/23/2025

political
Government Advances in Statistical Programming conference, 25-26 June 2025

https://statmodeling.stat.columbia.edu/2025/02/22/government-advances-in-statistical-programming-conference-25-26-june-2025/

Statistical Modeling, Causal Inference, and Social Science 02/22/2025

miscellaneous
“Why don’t machine learning and large language model evaluations report uncertainty?”

https://statmodeling.stat.columbia.edu/2025/02/22/why-dont-machine-learning-and-large-language-model-evaluations-report-uncertainty/

Statistical Modeling, Causal Inference, and Social Science 02/22/2025

computing
Approaching the singularity (not in a good way)

https://statmodeling.stat.columbia.edu/2025/02/21/approaching-the-singularity-not-in-a-good-way/

Statistical Modeling, Causal Inference, and Social Science 02/21/2025

literature
Coleridge’s principle and the difference between scientific and literary criticism

https://statmodeling.stat.columbia.edu/2025/02/21/coleridges-principle-and-the-difference-between-scientific-and-literary-criticism/

Statistical Modeling, Causal Inference, and Social Science 02/21/2025

literature
Perfectly stable climates and other statistical myths

https://statmodeling.stat.columbia.edu/2025/02/20/perfectly-stable-climates-and-other-statistical-myths/

Statistical Modeling, Causal Inference, and Social Science 02/20/2025

bayesian
What are the modern myths?

https://statmodeling.stat.columbia.edu/2025/02/20/what-are-the-modern-myths/

Statistical Modeling, Causal Inference, and Social Science 02/20/2025

literature

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