Richard McElreath πŸˆβ€β¬›
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rmcelreath.bsky.social
Richard McElreath πŸˆβ€β¬›
@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/

Richard McElreath is an American professor of anthropology and a director of the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He is an author of the Statistical Rethinking applied Bayesian statistics textbook, among the first to largely rely on the Stan statistical environment, and the accompanying rethinking R language package. .. more

Psychology 22%
Sociology 21%
Pinned
If you hate statistics like I do, then you'll love my free lectures. Putting science before statistics, 20 lectures from basics of inference & causal modeling to multilevel models & dynamic state space models. It's all free, made with love and sympathy. πŸ§ͺ #stats www.youtube.com/playlist?lis...

My department is holding its annual xmas movie night and there is only one valid choice, the most xmas movie ever made

I'd still like to make these lectures into a small book, but there are already two book projects between me and doing that. One day maybe.

Teaching some actual anthropology this week and next

False. There is no such thing as an introductory statistics textbook

Link to reanalysis for those who haven't heard this story before (PDF): marketing.wharton.upenn.edu/wp-content/u...
marketing.wharton.upenn.edu

If I had more time today, I would make a thread of published nonsense ad hoc pipelines. So just one: the 1985 hot hand fallacy paper by Gilovich et al justified its bogus estimator with nothing but intuition. It was 30 years before someone bothered to check it with synthetic data/analysis.

Reposted by Karl Andraczek

So many nonsense ad hoc pipelines could be prevented by requiring that they work on synthetic data.

I tend to think of experiments as special cases of inference, since most of the problems I work on cannot be studied in experiments. But I get that many researchers see experiments as base analogy.
"Validate With Simulated Truth: A first habit is to test whether an analytical pipeline can recover known conditions."

Very good advice below. So much COVID nonsense (e.g. 'immunological dark matter') basically came down to a non-identifiable model that hadn't been properly tested.
Modelling Like an Experimentalist
Dahlin etΒ al. (2024) apply experimental thinking to a model of mosquito-borne disease transmissions.
onlinelibrary.wiley.com

Fax is also acceptable

The relevant bit of grump from the quoted post (left). And age distribution of Max Planck directors (right)

I'm participating in an "Open Science Exploratory Roundtable" in the Max Planck Society later this week, so bumping my grumpy thoughts about open science again. I'm as curious as everyone else to see what a club of competitive narcissists who succeeded under the status quo (the MPG) can manage!
Solar’s price drop is astonishing: panels are now 98% cheaper than when I first analyzed them in 2004.

Today, building a fence with solar can be cheaper than using wood.

Reposted by Richard McElreath

"Validate With Simulated Truth: A first habit is to test whether an analytical pipeline can recover known conditions."

Very good advice below. So much COVID nonsense (e.g. 'immunological dark matter') basically came down to a non-identifiable model that hadn't been properly tested.
Modelling Like an Experimentalist
Dahlin etΒ al. (2024) apply experimental thinking to a model of mosquito-borne disease transmissions.
onlinelibrary.wiley.com

Reposted by Richard McElreath

If I understand right, that sounds reasonable. Treatment assignment depends upon complexity, and complexity influences time to surgery conditional on assignment. An interesting example for modeling prob of treatment assignment!

In big impact, low citation corner: Tu Youyou won the Nobel Prize in 2015 for work on anti-malaria compounds that have gone on to save millions of lives, but her 1999 paper on the topic still doesn't even have 100 citations.
en.wikipedia.org/wiki/Tu_Youyou
Paper: pubmed.ncbi.nlm.nih.gov/11721477/

I try to practice forgiveness, so I will meditate on that. But as a general meta-science note, in one case the evidence against Pruitt was that he left in a spreadsheet a formula that copied data from one treatment and added a constant to it in another treatment. It's like:

This is great. I am not a fan of the oscillator example - makes it seem like a physics niche thing. But so useful for us population-thinkers. I might write up a post using a population dynamics differential equation example. If I can finish cloning myself. Yeah. www.youtube.com/watch?v=FE-h...
Why Laplace transforms are so useful
YouTube video by 3Blue1Brown
www.youtube.com

Link to report: doi.org/10.1098/rsos...

Reposted by Ingo Rohlfing

A spicier opinion is that academia taking back publishing is not necessarily a path to innovation and efficiency. Do you associate universities with efficiency? The problem with for-profit publishing is not the profit, it's the oligopoly power of major publishers. Anti-trust in our lifetime?

Reposted by Juan Rocha

I am slow to react to this recent Stockholm Declaration on scientific publishing. A lot of it sounds good, but I don't see how we get from here to there. I worry nothing substantial will happen until the cost disease kills the host.

Lots more Celtic words in old French I've been told, and of course very very many place names in France are Celtic. Even "Paris"!

Yes a name I think popularized in England by the Normans, who spoke French, but were actually Danish. Richard I the Lionheart was I guess an exemplar.

To update my list of Celtic words used in English, I am being told that "iron" is an early Celtic borrowing into early Germanic, as Germanic ppl (South Scandinavians at the time) moved into central Europe. So like 1000-500 BCE.

Another borrowing from same time is rich/Reich!

Philosophers of biology will continue to have fun charting and explaining what evolutionary biologists are up to with all this "organismal design" stuff! There are no signs yet we are approaching a stable consensus, to my mind.

The concept of "fitness" is central to evolutionary biology but it's not entirely worked out. There are multiple definitions, doubts about predictive power, problems with internal consistency. Here's a paper from last year attempting to solve some of these problems. doi.org/10.1093/evol...

It's complicated. The "whole organism" perspective has some things going for it I think. Cool paper from 2019 on the topic doi.org/10.1098/rspb...
The strategic reference gene: an organismal theory of inclusive fitness | Proceedings of the Royal Society B: Biological Sciences
How to define and use the concept of inclusive fitness is a contentious topic in evolutionary theory. Inclusive fitness can be used to calculate selection on a focal gene, but it is also applied to wh...
doi.org

exactly, I don't think there is an accessible explanation that is also right. similar to trying to explain a p-value without mathematical expressions. it's not surprising people end up believing false things afterwards.

Could say the same about "sexual selection" I guess. The mathematical models don't much resemble the ev-psych narratives most of us tell in intro courses.