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Gelman absolutely on fire on the blog statmodeling.substack.com/p/13-aspects...
3d
Jake Grumbach
Examining weight stigma shows that the "obese" cutoff increases patient mortality. Analyses of diagnostic effort and clinical documentation point to stigma as a mechanism, from Manasvini Singh www.nber.org/papers/w35277
4d
Great thought exercise for how to think about detection
3d
Still riding the high from this
Lots of people with strong opinions about use of AI detectors to filter what papers we review (or what stories we consider for awards). I wrote up a toy model of using AI detection to infer author type to get at some implict assumptions we make when we argue that AI detection is or is not useful
I mean this was just yesterday. There’s really a pattern where actual data analysis does not support the impression of radical disruption you would get from journalism / social media.
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NBER
Jessica Hullman
Paul Goldsmith-Pinkham
Paul Goldsmith-Pinkham
Ted Underwood
In a new post, I pull data from four different sources --- arXiv, NBER working papers, SSRN, and the AEA --- to look at how much working paper growth and submissions have changed with the growth of AI. paulgp.substack.com/p/the-number...
8d
If you look hard, you can see exactly when my children are born in my MBA evaluations...
7d
Paul Goldsmith-Pinkham
When is detecting AI-generated text worthwhile? statmodeling.stat.columbia.edu/2026/06/06/w...
Paul Goldsmith-Pinkham
When is detecting AI-generated text worthwhile? statmodeling.stat.columbia.edu/2026/06/06/w...
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3d
When is detecting AI-generated text worthwhile? | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
When is detecting AI-generated text worthwhile? | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu