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

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On lying politicians and bullshitting scientists

https://statmodeling.stat.columbia.edu/2024/05/05/on-lying-politicians-and-bullshitting-scientists/

Statistical Modeling, Causal Inference, and Social Science 05/05/2024

“You want to gather data to determine which of two students is a better basketball shooter. You plan to have each student take N shots and then compare their shooting percentages. Roughly how large does N have to be for you to have a good chance of distinguishing a 30% shooter from a 40% shooter?”

https://statmodeling.stat.columbia.edu/2024/05/04/you/

Statistical Modeling, Causal Inference, and Social Science 05/04/2024

Combining multiply-imputed datasets, never easy

https://statmodeling.stat.columbia.edu/2024/05/03/combining-multiply-imputed-datasets-never-easy/

Statistical Modeling, Causal Inference, and Social Science 05/03/2024

Two kings, a royal, a knight, and three princesses walk into a bar . . . (Dude from Saudi Arabia accuses the lords of AI of not giving him enough credit.)

https://statmodeling.stat.columbia.edu/2024/05/02/dude-from-saudi-arabia-accuses-lords-of-ai-of-not-giving-him-enough-credit/

Statistical Modeling, Causal Inference, and Social Science 05/02/2024

Who wrote the music for In My Life? Three Bayesian analyses

https://statmodeling.stat.columbia.edu/2024/05/01/who-wrote-the-music-for-in-my-life-three-bayesian-analyses/

Statistical Modeling, Causal Inference, and Social Science 05/01/2024

Bayesian Workflow, Causal Generalization, Modeling of Sampling Weights, and Time: My talks at Northwestern University this Friday and the University of Chicago on Monday

https://statmodeling.stat.columbia.edu/2024/04/30/bayesian-workflow-causal-generalization-modeling-of-sampling-weights-and-time-my-talks-at-northwestern-university-this-friday-and-the-university-of-chicago-on-monday/

Statistical Modeling, Causal Inference, and Social Science 04/30/2024

Does this study really show that lesbians and bisexual women die sooner than straight women? Disparities in Mortality by Sexual Orientation in a Large, Prospective JAMA Paper

https://statmodeling.stat.columbia.edu/2024/04/30/disparities-in-mortality-by-sexual-orientation-in-a-large-prospective-jama-paper/

Statistical Modeling, Causal Inference, and Social Science 04/30/2024

Job Ad: Spatial Statistics Group Lead at Oak Ridge National Laboratory

https://statmodeling.stat.columbia.edu/2024/04/29/spatial-statistics-group-lead-at-oak-ridge-national-laboratory/

Statistical Modeling, Causal Inference, and Social Science 04/29/2024

Boris and Natasha in America: How often is the wife taller than the husband?

https://statmodeling.stat.columbia.edu/2024/04/29/boris-and-natasha-in-america-how-often-is-the-wife-taller-than-the-husband/

Statistical Modeling, Causal Inference, and Social Science 04/29/2024

“Often enough, scientists are left with the unenviable task of conducting an orchestra with out-of-tune instruments”

https://statmodeling.stat.columbia.edu/2024/04/28/often-enough-scientists-are-left-with-the-unenviable-task-of-conducting-an-orchestra-with-out-of-tune-instruments/

Statistical Modeling, Causal Inference, and Social Science 04/28/2024

Evaluating MCMC samplers

https://statmodeling.stat.columbia.edu/2024/04/27/evaluating-mcmc-samplers/

Statistical Modeling, Causal Inference, and Social Science 04/27/2024

“When are Bayesian model probabilities overconfident?” . . . and we’re still trying to get to meta-Bayes

https://statmodeling.stat.columbia.edu/2024/04/27/when-are-bayesian-model-probabilities-overconfident-and-were-still-trying-to-get-to-meta-bayes/

Statistical Modeling, Causal Inference, and Social Science 04/27/2024

Whooping cough! How to respond to fatally-flawed papers? An example, in a setting where the fatal flaw is subtle, involving a confounding of time and cohort effects

https://statmodeling.stat.columbia.edu/2024/04/26/whooping-cough-how-to-respond-to-fatally-flawed-papers-an-example-in-a-setting-where-the-fatal-flaw-is-subtle-involving-a-confounding-of-time-and-cohort-effects/

Statistical Modeling, Causal Inference, and Social Science 04/26/2024

Population forecasting for small areas: an example of learning through a social network

https://statmodeling.stat.columbia.edu/2024/04/25/population-forecasting-for-small-areas-an-example-of-learning-through-a-social-network/

Statistical Modeling, Causal Inference, and Social Science 04/25/2024

GIST: Gibbs self-tuning for HMC

https://statmodeling.stat.columbia.edu/2024/04/24/gist-gibbs-self-tuning-for-hmc/

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

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

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

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

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

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

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

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

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

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

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