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For that price he could’ve had 54 Jamaican beef patties or 1/216 of a conference featuring Gray Davis, Grover Norquist, and a rabbi

https://statmodeling.stat.columbia.edu/2024/04/24/for-that-price-he-couldve-had-54-jamaican-beef-patties-or-1-216-of-a-conference-featuring-gray-davis-grover-norquist-and-a-rabbi/

Statistical Modeling, Causal Inference, and Social Science 04/24/2024

analysis
Postdoc Opportunity at the HEDCO Institute for Evidence-Based Educational Practice in the College of Education at the University of Oregon

https://statmodeling.stat.columbia.edu/2024/04/23/postdoc-opportunity-at-the-hedco-institute-for-evidence-based-educational-practice-in-the-college-of-education-at-the-university-of-oregon/

Statistical Modeling, Causal Inference, and Social Science 04/23/2024

analysis
6 ways to follow this blog

https://statmodeling.stat.columbia.edu/2024/04/23/4-ways-to-follow-this-blog/

Statistical Modeling, Causal Inference, and Social Science 04/23/2024

literature
What is your superpower?

https://statmodeling.stat.columbia.edu/2024/04/23/what-is-your-superpower/

Statistical Modeling, Causal Inference, and Social Science 04/23/2024

literature
Storytelling and Scientific Understanding (my talks with Thomas Basbøll at Johns Hopkins this Friday)

https://statmodeling.stat.columbia.edu/2024/04/22/storytelling-and-scientific-understanding-my-talks-with-thomas-basboll-at-johns-hopkins-this-friday/

Statistical Modeling, Causal Inference, and Social Science 04/22/2024

miscellaneous
Decorative statistics and historical records

https://statmodeling.stat.columbia.edu/2024/04/22/decorative-statistics-and-historical-records/

Statistical Modeling, Causal Inference, and Social Science 04/22/2024

miscellaneous
Now here’s a tour de force for ya

https://statmodeling.stat.columbia.edu/2024/04/21/now-heres-a-tour-de-force-for-ya/

Statistical Modeling, Causal Inference, and Social Science 04/21/2024

miscellaneous
Analogy between (a) model checking in Bayesian statistics, and (b) the self-correcting nature of science.

https://statmodeling.stat.columbia.edu/2024/04/20/analogy-between-a-model-checking-in-bayesian-statistics-and-b-the-self-correcting-nature-of-science/

Statistical Modeling, Causal Inference, and Social Science 04/20/2024

bayesian
The data are on a 1-5 scale, the mean is 4.61, and the standard deviation is 1.64 . . . What’s so wrong about that??

https://statmodeling.stat.columbia.edu/2024/04/19/the-data-are-on-a-1-5-scale-the-mean-is-4-61-and-the-standard-deviation-is-1-64-whats-so-wrong-about-that/

Statistical Modeling, Causal Inference, and Social Science 04/19/2024

analysis
Infovis, infographics, and data visualization: My thoughts 12 years later

https://statmodeling.stat.columbia.edu/2024/04/18/infovis-infographics-and-data-visualization-my-thoughts-12-years-later/

Statistical Modeling, Causal Inference, and Social Science 04/18/2024

graphics
“Close but no cigar” unit tests and bias in MCMC

https://statmodeling.stat.columbia.edu/2024/04/17/close-but-no-cigar-unit-tests-and-bias-in-mcmc/

Statistical Modeling, Causal Inference, and Social Science 04/17/2024

computing
Do research articles have to be so one-sided?

https://statmodeling.stat.columbia.edu/2024/04/17/do-research-articles-have-to-be-so-one-sided/

Statistical Modeling, Causal Inference, and Social Science 04/17/2024

literature
N=43, “a statistically significant 226% improvement,” . . . what could possibly go wrong??

https://statmodeling.stat.columbia.edu/2024/04/16/n43-a-statistically-significant-226-improvement-what-could-possibly-go-wrong/

Statistical Modeling, Causal Inference, and Social Science 04/16/2024

miscellaneous
No, it’s not “statistically implausible” when results differ between studies, or between different groups within a study.

https://statmodeling.stat.columbia.edu/2024/04/15/no-its-not-statistically-implausible-when-results-differ-between-studies-or-between-different-groups-within-a-study/

Statistical Modeling, Causal Inference, and Social Science 04/15/2024

causal
Simulation to understand two kinds of measurement error in regression

https://statmodeling.stat.columbia.edu/2024/04/14/simulation-to-understand-measurement-error-in-regression/

Statistical Modeling, Causal Inference, and Social Science 04/14/2024

computing
Intelligence is whatever machines cannot (yet) do

https://statmodeling.stat.columbia.edu/2024/04/13/intelligence-is-whatever-machines-cannot-yet-do/

Statistical Modeling, Causal Inference, and Social Science 04/13/2024

causal
Evidence, desire, support

https://statmodeling.stat.columbia.edu/2024/04/13/evidence-desire-support/

Statistical Modeling, Causal Inference, and Social Science 04/13/2024

analysis
Delayed retraction sampling

https://statmodeling.stat.columbia.edu/2024/04/12/delayed-retraction-sampling/

Statistical Modeling, Causal Inference, and Social Science 04/12/2024

miscellaneous
How large is that treatment effect, really? (my talk at NYU economics department Thurs 18 Apr 2024, 12:30pm)

https://statmodeling.stat.columbia.edu/2024/04/11/how-large-is-that-treatment-effect-really-my-talk-at-nyu-economics-department-thurs-18-apr-2024-1230pm/

Statistical Modeling, Causal Inference, and Social Science 04/11/2024

causal
“He had acquired his belief not by honestly earning it in patient investigation, but by stifling his doubts. And although in the end he may have felt so sure about it that he could not think otherwise, yet inasmuch as he had knowingly and willingly worked himself into that frame of mind, he must be held responsible for it.”

https://statmodeling.stat.columbia.edu/2024/04/10/acq/

Statistical Modeling, Causal Inference, and Social Science 04/10/2024

analysis
Here’s something you should do when beginning a project, and in the middle of a project, and in the end of the project: Clearly specify your goals, and also specify what’s not in your goal set.

https://statmodeling.stat.columbia.edu/2024/04/09/heres-something-you-should-do-when-beginning-a-project-and-in-the-middle-of-a-project-and-in-the-end-of-the-project-clearly-specify-your-goals-and-also-specify-whats-not-in-your-goals-set/

Statistical Modeling, Causal Inference, and Social Science 04/09/2024

analysis
People have needed rituals to turn data into truth for many years. Why would we be surprised if many people now need procedural reforms to work?

https://statmodeling.stat.columbia.edu/2024/04/08/people-have-needed-rituals-to-turn-data-into-truth-for-many-years-why-would-we-be-surprised-if-many-people-now-need-procedural-reforms-to-work/

Statistical Modeling, Causal Inference, and Social Science 04/08/2024

miscellaneous
Hey, some good news for a change! (Child psychology and Bayes)

https://statmodeling.stat.columbia.edu/2024/04/08/hey-some-good-news-for-a-change-child-psychology-and-bayes/

Statistical Modeling, Causal Inference, and Social Science 04/08/2024

bayesian
Evilicious 3: Face the Music

https://statmodeling.stat.columbia.edu/2024/04/07/evilicious-3-face-the-music/

Statistical Modeling, Causal Inference, and Social Science 04/07/2024

literature
What is the prevalence of bad social science?

https://statmodeling.stat.columbia.edu/2024/04/06/what-is-the-prevalence-of-bad-social-science/

Statistical Modeling, Causal Inference, and Social Science 04/06/2024

miscellaneous

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