Cory McCartan

@corymccartan.com

Asst. Prof. of Statistics & Political Science at Penn State. I study stats methods, gerrymandering, & elections. Founder of UGSDW and proud alum of HGSU-UAW L. 5118. 🏳️‍🌈 corymccartan.com

"This election is about the threat of trans kids" is the worst possible messaging for Dems yet so many candidates are leaning into it. No voter will flip R->D over it. Low-info voters read this as "you're focused on bullshit that doesn't affect me" while the base reads this as "you're an asshole."

Adam Bonin@adambonin.bsky.social · last wk.

Incredibly disappointing ad from Mary Peltola (D-AK) saying she neither supports "kids getting surgeries to change genders or men in girls bathrooms." Yes, flipping the Senate is essential and can stop bad laws and bad judges from happening, but she can do it without my support from the lower 48.

The 2025 American Community Survey should have come out today. But it has been delayed because of unusual political encroachment at Census. ACS drives business and policy decisions, especially in local communities, and is the primary input to Census’s immigration estimates.

Have been incredibly busy these past two months, but finally really turning my attention back to my upcoming appropriations paper. Some of the data are not 100% done yet, but I want to focus on how much domestic discretionary funding has been cut in the last few years. Posted only on Bluesky.

line go down fast after 2023

Half of our seminars should be pre analysis plans and the other half results. Imagine if people had an up front stake in your research, and imagine getting great input before you finalize your analysis strategy. It should be the norm.

NYT poll of LV shows D+9 generic ballot ±3.2. Plugging that into my simple congressional swing model (tinyurl.com/cmchousemodel) gives 241D–194R, with 94% chance of D win. Effect of redistricting in that environment is R+4 seats, with TX and FL doing the heavy lifting, and NC slightly backfiring

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Others have said this but it’s truly insane that Brett Kavanaugh, lover of the major questions doctrine, thinks there’s a good chance USPS can use a vague grant of authority over mail processing to radically alter absentee voting procedures in all 50 states without congressional approval. Come on.

the other strange thing about this is that the 2024 election result was exceptionally narrow and yet commentators left and right talk about it like it was 1984

you could basically predict the direction public opinion under trump if you took the view that a) the 2024 election was about inflation and b) "wokeness" wasn't especially salient nor was it especially unpopular.

Ofc I say this and personally put WAY too much effort into reviews. And then I die inside when my papers spend six months under review or get torpedoed because someone was not on board with my type of paper existing or are evaluated by someone who doesn't know how math works. So there's that...

Amanda Weiss@amandaweiss.bsky.social · last mo.

But that's not my only concern. A big issue with AI reviews IMO — hot take 🚨, maybe big Assistant Professor Energy — is that reviewing is good for reviewers. Like it's good to see new scholarship and know what is being submitted in your field! And good to keep sharp by doing constructive critique!

Data center opposition seems a pretty rational strategy to me even though I may not be totally on board. If you are feeling threatened + angry at new tech, why not contest it on turf you can historically win on & do so locally (NIMBYism) rather than directly try to fight a new technology (hard)?

What's most upsetting me as a journal editor is that many papers we receive where AI use is disclosed for editing and language refinement actually appear to have been ruined rather than improved by AI. We get what seem like promising underpinning studies, but totally obscured by over-complex text.

Corroborated by my own experience with other Big Publisher journal titles Yet we're more impressed on evaluation committees by 1st-author candidates for [things] who made it through the gauntlet. Let's vow to check that impulse & turn to our professional society titles when possible & independent.

Cory McCartan@corymccartan.com · 2mo ago

FWIW, I strongly do not recommend publishing with NHB. A very slow review process and a ton of time-consuming administrative steps post-review and post-acceptance, including micromanaging of language & outdated statistical rules that especially don't make sense for methods work. And OA is $$$!

Out yesterday at Nature Human Behaviour is my paper with @chriskenny.bsky.social on a unified way to measure individual & group harms in redistricting! Due to extortionate APC fees (~$13k) we did not publish open access, but you can read for free at rdcu.be/fyd95 !

Individual and differential harm in redistricting

Nature Human Behaviour - McCartan and Kenny develop a framework for quantifying the individual-level impacts of redistricting in the USA, showing its applicability for identifying partisan...

rdcu.be

Don't posit a theory that is only interesting because it implies X causes variation in Y, test for a statistical relationship between X and Y, but then say you are not interpreting causally. Of course you are interpreting it causally. That was the whole point of what you just did.

Mechanically, what this means is that it’s assuming fairly smooth interactions between covariates. So if you want flexible models of interaction you have to build them in yourself. Which is, after all, what you’d expect with BART.

This is definitely interesting. It’s probably worth noting in high dimensions that mixed sobolev spaces are much smoother than usual sobolev spaces. So think of this kernel as closer to a squared exponential than a Matern-1. But still rough enough that the paths aren’t analytic.

Noah Greifer@noahgreifer.bsky.social · 2mo ago

Fascinating and clear paper by @corymccartan.com and @melodyyhuang.bsky.social, greatly enhancing our understanding of how Bayesian Additive Regression Trees (BART) works and why it is so effective. A must-read for my fellow BART enthusiasts. #statssky #causalinference