Stephen Wild
stephenjwild.bsky.social
Stephen Wild
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
Good post
Here’s my new Substack post about the value of being curious about new fields and literatures.

open.substack.com/pub/davebrad...
February 17, 2026 at 3:26 PM
Reposted by Stephen Wild
Who do you recommend following for non-US news? Self-promotion encouraged.
February 17, 2026 at 1:28 PM
Go on...
February 17, 2026 at 1:15 PM
Reposted by Stephen Wild
In IRT modeling, shouldn't the 1PL model have one more degree of freedom than the Rasch model? In the 1PL I am estimating a common discrimination parameter where the Rasch model sets it to 1. But the mirt package in R is saying they have the same number of parameters.
February 17, 2026 at 11:32 AM
*Excellent* book that one could use the term "magisterial" to describe. But not me, because @donskerclass.bsky.social beat me to it.
One thing Elkins's LEGACY OF VIOLENCE made clear was counterinsurgency, historically, looked a lot like what's happening in MN. Arbitrary brutality, extra-legal behavior, etc. "Hearts and minds" was a PR campaign the Brits sold to the US during the Malayan emergency, where they hid the ugly bits.
February 17, 2026 at 11:48 AM
Reposted by Stephen Wild
maybe helps that I don’t spend much time discussing things I’m already highly certain of on here. E.g. If someone writes a new paper showing good evidence that declining responses rates are actually lowering poll quality I’ll be all ears (it’s weird that people keep failing to find that in fact)
February 17, 2026 at 12:17 AM
Reposted by Stephen Wild
Yes. One thing every scientist should probably learn is that falsification can't escape the Quine-Duhem problem. In this case, if your toy statistical model of science predicts one thing, and you see another, you can't tell whether you refuted your hypothesis or your model is wrong.
February 16, 2026 at 6:19 PM
I hate that I understand every word of this tweet
Will Stancil became a hero to the left for resisting ICE, followed shortly by people coming up with increasingly esoteric reasons for Still Hating Him.
February 16, 2026 at 11:22 PM
Reposted by Stephen Wild
In this post, Gelman gives 4 "sources" or "types" of priors.

Can anyone shed some light in the 4th type? "Prior as unconditional distribution"

#stats

statmodeling.stat.columbia.edu/2025/05/21/p...
Prior as data, prior as belief, prior as soft constraint, prior as unconditional distribution in a generative model | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
February 16, 2026 at 3:12 PM
Reposted by Stephen Wild
Or, as written up in SIGBOIVK last year:
February 15, 2026 at 3:42 PM
Reposted by Stephen Wild
February 15, 2026 at 3:44 PM
YouTube bad
like im getting euro nazi stuff now, dont like
February 15, 2026 at 12:36 PM
Reposted by Stephen Wild
These posts are great because they suggest who to mute (everyone who gets mad about putting your cast iron in the dishwasher or who tries to tell how to care for it)
All my cast iron, fresh out of the dishwasher and ready to cook
February 15, 2026 at 1:54 AM
*chef's kiss*
Famous starry-eyed idealists like Stalin and Churchill.
February 15, 2026 at 12:36 AM
Scream it from the rooftops
True causal inference has not been tried :)

More seriously: causal inference is not about prioritizing certain methods, it’s about being very clear about effect you are actually targeting (if any) and what assumptions justify your inferences.
February 14, 2026 at 6:58 PM
10/10 response
What do you think Claude Code is?
February 13, 2026 at 11:34 PM
Reposted by Stephen Wild
#rstats #stats causality people: what originally got you interested in causal inference? Looking for some motivation :)
February 13, 2026 at 7:10 PM
Social media bad
February 13, 2026 at 11:08 PM
Always retaliate first
The only thing necessary for the triumph of evil is for good players to not play tit-for-tat
February 13, 2026 at 10:48 PM
Reposted by Stephen Wild
Fair. I'm never quite sure how to take these conversations as I'm genuinely not sure (and not everyone is on the same page about) what journal articles are for. Nail that down and a Kasy-style decision theory exercise will sort out the rest, fine, but until then...
February 13, 2026 at 4:40 PM
This a great case study in statistics, economics, and business. Why is their match rate is so high now, and can they maintain it as they expand?
February 13, 2026 at 4:40 PM
Hehehe

"Proper understanding of the answers of the above questions should in most cases make you at best ambivalent about DiD. If you still think you have a DiD problem, expect me to try to help you figure out what else you should do"
For Spring semester, I'm bringing back free weekly open office hours for anyone in the world with Econometrics questions.
Tuesdays 4-6 PM Central European Time (US EST 10AM-12PM) or by appointment; sign up and drop by!
Details and signup at: donskerclass.github.io/OfficeHours....
February 13, 2026 at 1:10 PM