Home Statistics and Visualization Statistical Modeling, Causal Inference, and Social Science Proving a null hypothesis?

Proving a null hypothesis?

Statistical Modeling, Causal Inference, and Social Science 2025-04-09

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“The Null Hypothesis Screening Fallacy”?

http://andrewgelman.com/2017/07/03/humans-can-discriminate-more-than-1-trillion-olfactory-stimuli-not/

Statistical Modeling, Causal Inference, and Social Science 07/03/2017
“Null hypothesis” = “A specific random number generator”

http://andrewgelman.com/2016/05/05/null-hypothesis-a-specific-random-number-generator/

Statistical Modeling, Causal Inference, and Social Science 05/05/2016

miscellaneous statistics
What’s wrong with null hypothesis significance testing

https://statmodeling.stat.columbia.edu/2019/12/04/whats-wrong-with-null-hypothesis-significance-testing/

Statistical Modeling, Causal Inference, and Social Science 12/04/2019

miscellaneous
No, this post is not 30 days early: Psychological Science backs away from null hypothesis significance testing

http://andrewgelman.com/2016/03/02/no-this-post-is-not-30-days-early-psychological-science-backs-away-from-null-hypothesis-significance-testing/

Statistical Modeling, Causal Inference, and Social Science 03/02/2016

bayesian statistics
“On the Past and Future of Null Hypothesis Significance Testing”

https://statmodeling.stat.columbia.edu/2023/07/05/on-the-past-and-future-of-null-hypothesis-significance-testing/

Statistical Modeling, Causal Inference, and Social Science 07/05/2023

analysis
What’s wrong with Bayes; What’s wrong with null hypothesis significance testing

https://statmodeling.stat.columbia.edu/2019/12/02/whats-wrong-with-bayes-whats-wrong-with-null-hypothesis-significance-testing/

Statistical Modeling, Causal Inference, and Social Science 12/02/2019

bayesian
Guttman points out another problem with null hypothesis significance testing: It falls apart when considering replications.

https://statmodeling.stat.columbia.edu/2021/06/17/guttman-points-out-another-problem-with-null-hypothesis-significance-testing-it-falls-apart-when-considering-replications/

Statistical Modeling, Causal Inference, and Social Science 06/17/2021

miscellaneous
The easygoing relationship between computer scientists and null hypothesis significance testing

https://statmodeling.stat.columbia.edu/2022/12/13/the-easygoing-relationship-between-computer-scientists-and-null-hypothesis-significance-testing/

Statistical Modeling, Causal Inference, and Social Science 12/13/2022

miscellaneous
Using simulation from the null hypothesis to study statistical artifacts (ivermectin edition)

https://statmodeling.stat.columbia.edu/2023/12/10/using-simulation-from-the-null-hypothesis-to-study-statistical-artifacts-ivermectin-edition/

Statistical Modeling, Causal Inference, and Social Science 12/10/2023

health
“My quick answer is that I don’t care much about permutation tests because they are testing a null null hypothesis that is of typically no interest”

https://statmodeling.stat.columbia.edu/2024/01/11/my-quick-answer-is-that-i-dont-care-much-about-permutation-tests-because-they-are-testing-a-null-null-hypothesis-that-is-of-typically-no-interest/

Statistical Modeling, Causal Inference, and Social Science 01/11/2024

miscellaneous
The failure of null hypothesis significance testing when studying incremental changes, and what to do about it

http://andrewgelman.com/2017/12/26/failure-null-hypothesis-significance-testing-studying-incremental-changes/

Statistical Modeling, Causal Inference, and Social Science 12/26/2017
The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What to Do About It

https://statmodeling.stat.columbia.edu/2022/05/25/the-failure-of-null-hypothesis-significance-testing-when-studying-incremental-changes-and-what-to-do-about-it/

Statistical Modeling, Causal Inference, and Social Science 05/25/2022

economics
p=0.24: “Modest improvements” if you want to believe it, a null finding if you don’t.

http://andrewgelman.com/2018/02/05/p0-24-modest-improvements-want-believe-null-finding-dont/

Statistical Modeling, Causal Inference, and Social Science 02/05/2018
“Quality control” (rather than “hypothesis testing” or “inference” or “discovery”) as a better metaphor for the statistical processes of science

http://andrewgelman.com/2017/10/29/quality-control-rather-hypothesis-testing-inference-discovery-better-metaphor-statistical-processes-science/

Statistical Modeling, Causal Inference, and Social Science 10/29/2017
Workflow and the role of hypothesis-free data analysis

https://statmodeling.stat.columbia.edu/2021/07/19/workflow-and-the-role-of-hypothesis-free-data-analysis/

Statistical Modeling, Causal Inference, and Social Science 07/19/2021

miscellaneous
In general, hypothesis testing is overrated and hypothesis generation is underrated, so it’s fine for these data to be collected with exploration in mind.

http://andrewgelman.com/2016/02/11/in-general-hypothesis-testing-is-overrated-and-hypothesis-generation-is-underrated-so-its-fine-for-these-data-to-be-collected-with-exploration-in-mind/

Statistical Modeling, Causal Inference, and Social Science 02/11/2016

miscellaneous statistics
Did Neyman really say of Fisher’s work, “It’s easy to get the right answer if you never define what the question is,” and did Fisher really describe Neyman as “a theorem-proving poseur who wouldn’t recognized real data if it bit him in the ass”?

http://andrewgelman.com/2014/05/23/neyman-really-say-fishers-work-easy-get-right-answer-never-define-question-fisher-really-describe-neyman-theorem-proving-poseur-wouldnt-re/

Statistical Modeling, Causal Inference, and Social Science 05/23/2014

miscellaneous statistics
How to discuss your research findings without getting into “hypothesis testing”?

http://andrewgelman.com/2017/10/21/discuss-research-findings-without-getting-hypothesis-testing/

Statistical Modeling, Causal Inference, and Social Science 10/21/2017
Why it doesn’t make sense in general to form confidence intervals by inverting hypothesis tests

http://andrewgelman.com/2013/06/24/why-it-doesnt-make-sense-in-general-to-form-confidence-intervals-by-inverting-hypothesis-tests/

Statistical Modeling, Causal Inference, and Social Science 06/24/2013

bayesian statistics miscellaneous statistics
Data science as the application of theoretical knowledge

http://andrewgelman.com/2016/07/03/29469/

Statistical Modeling, Causal Inference, and Social Science 07/03/2016

miscellaneous statistics
Data Science for Social Good summer fellowship program

http://andrewgelman.com/2013/03/26/data-science-for-social-good-summer-fellowship-program/

Statistical Modeling, Causal Inference, and Social Science 03/26/2013

miscellaneous statistics
Confirmationist and falsificationist paradigms of science

http://andrewgelman.com/2014/09/05/confirmationist-falsificationist-paradigms-science/

Statistical Modeling, Causal Inference, and Social Science 09/05/2014

miscellaneous science miscellaneous statistics
3 quick tricks to get into the data science/analytics field

http://andrewgelman.com/2018/02/12/3-quick-tricks-get-data-scienceanalytics-field/

Statistical Modeling, Causal Inference, and Social Science 02/12/2018
My suggested project for the MIT Better Science Ideathon: assessing the reasonableness of missing-data imputations.

http://andrewgelman.com/2018/01/29/suggested-project-mit-better-science-ideathon-assessing-reasonableness-missing-data-imputations/

Statistical Modeling, Causal Inference, and Social Science 01/29/2018
Classical hypothesis testing is really really hard

http://andrewgelman.com/2018/03/14/classical-hypothesis-testing-really-really-hard/

Statistical Modeling, Causal Inference, and Social Science 03/14/2018