Statmodeling.stat.columbia.edu

“Postmortem of a replication drama in computer science” « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 16h 1 tweets
Does this fallacy have a name? « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 28h 1 tweets
Political polarization of professions « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 40h 2 tweets
If something is being advertised as “incredible,” it probably is. « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 3d 1 tweets
“Pictures represent facts, stories represent acts, and models represent concepts.” « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 4d 1 tweets
Postdoc in Bayesian spatiotemporal modeling at Imperial College London! « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 4d 1 tweets
(1) The misplaced burden of proof, and (2) selection bias: Two reasons for the persistence of hype in tech and science reporting « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 5d 1 tweets
“this large reduction in response rats” « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 6d 1 tweets
Bill James is back « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 7d 1 tweets
His data came out in the opposite direction of his hypothesis. How to report this in the publication? « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 8d 1 tweets
Derived quantities and generative models « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 9d 1 tweets
The challenge of fitting “good advice” into a coherent course on statistics « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 10d 1 tweets
We want certainty even when it’s not appropriate « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 11d 1 tweets
Election Scenario Explorer using Economist Election Model « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 11d 1 tweets
Everything that can be said can be said clearly. « Statistical Modeling, Causal Inference, and Social Science
Statmodeling.stat.columbia.edu 11d 1 tweets