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rasmusklokker.bsky.social
Ph.D student at VIVE/University of Copenhagen, department of sociology. Studying teacher sorting and mashing buttons in #rstats, trying to make to make it all work with a large dose of coffee.
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I know "generalized LATE for continous instruments" doesn't roll off the tongue as easily, but it would have saved me more time than I dare admit, trying to figure out the difference between MTE and marginal effects.

I'm reading a lot about "data doesn't lie." But I'm an expert in statistics, and I say confidently that is incorrect. It should be "data don't lie."

Most academics are terrible mentors because we've just been lucky enough to have a random publication streak or enter the market at a better time

Here's to hoping that users of danish register data can soon say the same @dst.dk

Ok sociology, what do you think are genuine breakthroughs that our field has made. Contributions that might convince skeptical but sympathetic *academics* (not the public) of the value of our field? I'll brainstorm some of mine in the thread - I treat sociology very broadly

❗New #ESRA Statement on Data Access and Open Science: "ESRA expresses serious concern about recent developments threatening the access to publicly available data and open science in the US with world-wide implications." www.europeansurveyresearch.org/esra-stateme...

Great thread! I’d add that in the social sciences, providing a secure computing environment for large and sensitive data is only possible because of indirects.

How cool is this?! A behind the scenes seminar series on how an economics paper came about - all the invisible work that never gets into the printed version. First event on 17th of February. I am also looking forward to using the recordings for teaching. www.bts-seminar.net

Interested in a free seminar? To mark our first semester on Bluesky, we’re offering a free seminar from our Spring offerings (through May 31) to one lucky winner. Follow us and repost this message by Monday, February 10 to enter. Winner revealed on Feb. 14—may the odds be in your favor!

When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages. statmodeling.stat.columbia.edu/2025/01/23/s...

This is such a great journal cover (and journal)! https://journal.trialanderror.org/. Cover by Lieve Visser. #JournalOfTrialAndError #AcademicPublishing

George Borjas and I dug into our crowdsourced experimental data to show what he suspected: that researchers' findings on a politically relevant topic followed their political ideology. www.nber.org/papers/w33274

In economics, editors, referees, and authors often behave as if a published paper should reflect some kind of authoritative consensus. As a result, valuable debate happens in secret, and the resulting paper is an opaque compromise with anonymous co-authors called referees. 1/

People sometimes make fun of science that sounds stupid and random. Meanwhile, a study of lizard saliva turned into a peptide medication, which was turned into a diabetes medication, which was turned into a GLP1 weight loss drug, that just became the first therapy every approved for … sleep apnea

This may be my favourite preprint (or even paper) of the year. Dr. Saul Newman's latest work looks at the global data on very old people, and shows that it's probably garbage. The paper basically shows that the global information on people aged 85+ is likely all errors. Remarkable. 1/n

“We don’t value software, data, and methods in the same way we value papers, even though those resources empower millions of scientists” 💯 www.statnews.com/sponsor/2024...

(1/7) 📢 New research alert! Even when people are shown clear evidence of #discrimination, it doesn‘t change their support for anti-discrimination policies. Read @kkrakows.bsky.social, @asmusletholsen.bsky.social, and my article in @ajpseditor.bsky.social to find out why: doi.org/10.1111/ajps...

This is a great point, and was one reason @abhsarma.bsky.social (with me + @jessicahullman.bsky.social) built a multiverse analysis tool that tries to help experts understand and evaluate the validity of subsets of a multiverse, rather than just shrugging: "enh, results vary" doi.org/10.1145/3613...

This looks super interesting and important!! Having a credible distribution of effect sizes specific to your field is so useful! Whenever I do, or read, work in education "0.07 SD" flashes before my eyes, due to excellent work by @matthewakraft.bsky.social journals.sagepub.com/doi/10.3102/...

🚨 New tutoring meta-analysis w/ @bethschueler.bsky.social & Grace Falken Effects decline w/ scale across 265 RCTs Bundle of recommended design features helps to sustain effects Evidence-based policymaking requires attention to internal AND external validity edworkingpapers.com/ai24-1031 🧵