Blog · corpus.blog/blogs/statmodeling.stat.columbia.edu/posts
Andrew Gelman
statmodeling.stat.columbia.edu
2017
17 Nov 2017
No no no no no on “The oldest human lived to 122. Why no person will likely break her record.”original ↗
16 Nov 2017
15 Nov 2017
High five: “Now if it is from 2010, I think we can make all sorts of assumptions about the statistical methods without even looking.”original ↗
14 Nov 2017
13 Nov 2017
11 Nov 2017
10 Nov 2017
10 Nov 2017
“A mixed economy is not an economic abomination or even a regrettably unavoidable political necessity but a natural absorbing state,” and other notes on “Whither Science?” by Danko Antolovicoriginal ↗
9 Nov 2017
The Statistical Crisis in Science—and How to Move Forward (my talk next Monday 6pm at Columbia)original ↗
6 Nov 2017
6 Nov 2017
5 Nov 2017
More thoughts on that “What percent of Americans would you say are gay or lesbian?” surveyoriginal ↗
2 Nov 2017
2 Nov 2017
Looking for data on speed and traffic accidents—and other examples of data that can be fit by nonlinear modelsoriginal ↗
2 Nov 2017
Statistical Significance and the Dichotomization of Evidence (McShane and Gal’s paper, with discussions by Berry, Briggs, Gelman and Carlin, and Laber and Shedden)original ↗
1 Nov 2017
30 Oct 2017
29 Oct 2017
“Quality control” (rather than “hypothesis testing” or “inference” or “discovery”) as a better metaphor for the statistical processes of scienceoriginal ↗
29 Oct 2017
28 Oct 2017
28 Oct 2017
27 Oct 2017
27 Oct 2017
If you want to know about basketball, who ya gonna trust, a mountain of p-values . . . or that poseur Phil Jackson??original ↗
26 Oct 2017
In the open-source software world, bug reports are welcome. In the science publication world, bug reports are resisted, opposed, buried.original ↗
25 Oct 2017
This Friday at noon, join this online colloquium on replication and reproducibility, featuring experts in economics, statistics, and psychology!original ↗
25 Oct 2017
My 2 talks in Seattle this Wed and Thurs: “The Statistical Crisis in Science” and “Bayesian Workflow”original ↗
23 Oct 2017
The Publicity Factory: How even serious research gets exaggerated by the process of scientific publication and reportingoriginal ↗
23 Oct 2017
21 Oct 2017
“La critique est la vie de la science”: I kinda get annoyed when people set themselves up as the voice of reason but don’t ever get around to explaining what’s the unreasonable thing they dislike.original ↗
20 Oct 2017
Why I think the top batting average will be higher than .311: Over-pooling of point predictions in Bayesian inferenceoriginal ↗
19 Oct 2017
Beyond “power pose”: Using replication failures and a better understanding of data collection and analysis to do better scienceoriginal ↗
19 Oct 2017
From perpetual motion machines to embodied cognition: The boundaries of pseudoscience are being pushed back into the trivial.original ↗
18 Oct 2017
17 Oct 2017
Beyond forking paths: using multilevel modeling to figure out what can be learned from this survey experimentoriginal ↗
17 Oct 2017
16 Oct 2017
Freelance orphans: “33 comparisons, 4 are statistically significant: much more than the 1.65 that would be expected by chance alone, so what’s the problem??”original ↗
16 Oct 2017
15 Oct 2017
15 Oct 2017
“I agree entirely that the way to go is to build some model of attitudes and how they’re affected by recent weather and to fit such a model to “thick” data—rather than to zip in and try to grab statistically significant stylized facts about people’s cognitive illusions in this area.”original ↗
14 Oct 2017
12 Oct 2017
Partial pooling with informative priors on the hierarchical variance parameters: The next frontier in multilevel modelingoriginal ↗
11 Oct 2017
10 Oct 2017
8 Oct 2017
I respond to E. J.’s response to our response to his comment on our paper responding to his paperoriginal ↗
7 Oct 2017
6 Oct 2017
6 Oct 2017
5 Oct 2017
5 Oct 2017
When considering proposals for redefining or abandoning statistical significance, remember that their effects on science will only be indirect!original ↗
3 Oct 2017
3 Oct 2017
“Do statistical methods have an expiration date?” My talk at the University of Texas this Friday 2pmoriginal ↗
2 Oct 2017
2 Oct 2017
“From ‘What If?’ To ‘What Next?’ : Causal Inference and Machine Learning for Intelligent Decision Making”original ↗
2 Oct 2017
30 Sept 2017
29 Sept 2017
Some ideas on using virtual reality for data visualization: I don’t really agree with the details here but it’s all worth discussingoriginal ↗
28 Sept 2017
What you value should set out how you act and that how you represent what to possibly act upon: Aesthetics -> Ethics -> Logic.original ↗
27 Sept 2017
26 Sept 2017