omg squee kitty and hog friends
21.11.2025 11:55 โ ๐ 31 ๐ 1 ๐ฌ 0 ๐ 0@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
omg squee kitty and hog friends
21.11.2025 11:55 โ ๐ 31 ๐ 1 ๐ฌ 0 ๐ 0My guess is a computer scientist isn't the ideal person for such a position - if you did a phd in a data-intensive field and don't mind working in Python, you prob have at least as good RDM experience than many computer scientists!
21.11.2025 11:45 โ ๐ 9 ๐ 0 ๐ฌ 2 ๐ 0Looks like a great job in a great place, and the honesty in the job description is a nice touch. I mean, is it interdisciplinary scientific data? Then yeah it's going to be parts messy, unstructured and incomplete. Research Data Management is won in the trenches.
21.11.2025 11:43 โ ๐ 21 ๐ 1 ๐ฌ 1 ๐ 0yis
20.11.2025 17:16 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0Slavoj ลฝiลพek meme image
โYou see, the endless renovation of the Stuttgart train station is a symbol of our late-capitalist condition: the project is always โin progress,โ yet nothing ever progresses. The construction site itself becomes the true destination.โ
19.11.2025 13:17 โ ๐ 50 ๐ 6 ๐ฌ 2 ๐ 1In a world of rapid and bewildering change, it is comforting to know that the Stuttgart train station will always be under construction www.tagesschau.de/wirtschaft/s...
19.11.2025 13:09 โ ๐ 41 ๐ 4 ๐ฌ 6 ๐ 1Oh nice replication dataset for future mixed model homework problems in my stats course. (Treatment effect is like 3 seconds difference with tons of variation by participant, age, etc.)
19.11.2025 12:02 โ ๐ 21 ๐ 1 ๐ฌ 1 ๐ 0Haapaniemi et al. (2018) provide one famous example how targeted gene edits can produce spurious results. They detail how CRISPR editing can automatically activate p53, a tumor suppressor. Because many edited cells die as a result, experimentalists can inadvertently select for cells with defective p53 responses, forming a confounder for research on cancer genetics.
If you talk about philosophy of science in interpretability papers you get to learn some incredible facts about what can go wrong with simple causal ablation studies
18.11.2025 23:54 โ ๐ 41 ๐ 8 ๐ฌ 1 ๐ 1Yes - on track for next year
18.11.2025 18:14 โ ๐ 20 ๐ 2 ๐ฌ 1 ๐ 3I had to check what I recommend in my book. And Poison priors (right) are also cursed. I'm working on something new with Gelman and Vehtari, so will make a note to review our examples for some consistency in these contexts.
18.11.2025 15:07 โ ๐ 20 ๐ 2 ๐ฌ 2 ๐ 1This from @davidbatherwoods.bsky.social's biography of Schopenhauer is sending me
17.11.2025 21:15 โ ๐ 86 ๐ 18 ๐ฌ 15 ๐ 2An epilogue.
18.11.2025 12:26 โ ๐ 5 ๐ 1 ๐ฌ 0 ๐ 0A clutch of great tit eggs, with seven arranged in a circle around the eighth and with their pointed end facing inwards.
It takes an exceptionally gifted bird to maintain such a pleasing clutch arrangement.
"Nesthetics" would be a great topic for a coffee table book.
she's doing her best
18.11.2025 12:24 โ ๐ 24 ๐ 3 ๐ฌ 0 ๐ 1meanwhile pigeons be like
18.11.2025 12:23 โ ๐ 11 ๐ 2 ๐ฌ 2 ๐ 0Thanks all for the comments. It would be good for beginner section to end with random and fixed effects models, and for advanced to start at same place. But not sure the scheduling could work for that. I will try to build out a calendar and see what can be done.
18.11.2025 09:04 โ ๐ 11 ๐ 0 ๐ฌ 0 ๐ 0unusual Italian food: aubergine slices wrapped around spaghetti, resting on a bed of tomato sauce
A colleague went on vacation in Italy and saw the below at a buffet. I have two questions:
1. What is this called?
2. Does it violate Italian culinary law?
I did: Agresti & Coull. Waldโs complete class theorem is prob most famous eg. Also all the โempirical bayesโ and related. Irony is bayesians used to be obsessed with uninformative priors, but informative priors ended up being more useful.
18.11.2025 08:04 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0During the 20th century, frequentists proved on their own terms that Bayes estimators have good properties. The Bayes-Freq wars are over. Everyone lost. Agesti and Coull paper for the curious: doi.org/10.2307/2685...
17.11.2025 18:34 โ ๐ 19 ๐ 0 ๐ฌ 2 ๐ 0Why are there so many ways to compute a frequentist interval for a proportion? Because the sample space is discrete, coverage can be garbage without adjustment. The Agresti-Coull interval ("score" below) is really a Bayes interval with a weak prior, has good freq coverage! >
17.11.2025 18:34 โ ๐ 36 ๐ 8 ๐ฌ 1 ๐ 0they warned us
17.11.2025 12:37 โ ๐ 36 ๐ 4 ๐ฌ 1 ๐ 0Not sure. Will try as always. Previous lectures still online though: github.com/rmcelreath/s...
17.11.2025 06:55 โ ๐ 3 ๐ 0 ๐ฌ 1 ๐ 0The students are more diverse now. When I taught at UC Davis, they were mostly population biology and ecology phd students. Not sure that's the reason though. Basic coding skills are in general much better now, so not all bad.
17.11.2025 06:52 โ ๐ 3 ๐ 0 ๐ฌ 1 ๐ 0Worry: Advanced section may will need some refresher of beginner content. So will need a new lecture for that.
17.11.2025 06:41 โ ๐ 12 ๐ 0 ๐ฌ 2 ๐ 0This would be more work for me, but possibly a lot better for learning goals.
17.11.2025 06:39 โ ๐ 12 ๐ 0 ๐ฌ 1 ๐ 0Contemplating format for my Statistical Rethinking course in January. In recent years, felt too many students can't keep up, fall behind in 2nd half. Maybe I should offer two sections: beginner, advanced. Beginner is first half of content, at half speed. Advanced is 2nd half, also half speed. ?
17.11.2025 06:39 โ ๐ 72 ๐ 2 ๐ฌ 16 ๐ 0Gandalf "Fly you fools" meme still
17.11.2025 06:33 โ ๐ 9 ๐ 0 ๐ฌ 0 ๐ 0โDo you know how to read?โ
โNo. It is one of the black arts.โ
He nodded. โBut a useful one,โ he said.
when itโs near done i will add some cream
13.11.2025 17:12 โ ๐ 11 ๐ 0 ๐ฌ 1 ๐ 0saag simmering
cooking down
13.11.2025 17:12 โ ๐ 11 ๐ 1 ๐ฌ 1 ๐ 0