
ANDREWGELMAN . COM {
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Title[redir]:
I didn’t say that! Part 2 | Statistical Modeling, Causal Inference, and Social Science
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Keywords {🔍}
july, october, andrew, reply, statistics, data, study, racism, structural, measures, years, survey, sparsified, mrp, time, result, scientific, concepts, confidence, model, analysis, advancing, methods, paper, pvalue, bayesian, article, true, point, rahul, means, explainable, statistical, social, science, probability, variation, end, chess, explanations, part, problem, random, null, theory, anonymous, calories, day, video, calls,
Topics {✒️}
org/my_notes/faq/latex/math_fonts/index causal inference miscellaneous statistics historical statistical literature email address multilevel… andrew contemporary social science teaching zombies decision economics common strawman-type nhst statistical-significance-filter posterior inference _r=0&abt=0002&abg=0 worse bayesian data analysis playing tournament-level chess statistical significance jobs” stan statistical crisis science” science � jesse jesse approach data analysis early childhood intervention literature national weather service russ lyons read researchers typically express buncha doctrinaire frequentists stats department “mugged” predator prey species purely verbal reasoning characterizing adult earnings video calls legally/morally responsible implementations regularized versions explainable ai miss half-witted quackery couple days ago great practical importance generally unknowable parameters world championship weigh selective inf results originally germ theory critical race theory original study design book design choices
Questions {❓}
- Andrew on Why does explainable AI miss the mark?
- Andrew, would you mind please editing your post accordingly, if your phrase “if the model were true” is indeed a slip?
- Anonymous on Bring on the Stupid: When does it make sense to judge a person, a group, or an organization by its worst?
- Are you happy with how the rest of the article turned out?
- Dale Lehman on Why does explainable AI miss the mark?
- Do you have examples of data/code you can share to try to answer your third question?
- How did this happen?
- If I have an accident because the brakes in my car fail, am I legally/morally responsible for the consequences?
- Naive question: Model were true or model were *false*?
- RJB on Why does explainable AI miss the mark?
- Sailer on A Replication in Economics: Does “Genetic Distance” to the US Predict Development?
- Shira asks, "why does stan give posterior means more similar to selectiveInference than lasso?
- Since when is a probabilistic forecast not a prediction?
- So why do we study them?
- So, why get people very, very angry at you for calling it into question in a paper about theory?
- Then, couldn’t a measure of sample size say something about “confidence in the data”, in a way?
- Thomas L on Why does explainable AI miss the mark?
- What exactly happened?
- Dnm on Why does explainable AI miss the mark?
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