A super useful and comprehensive summary! #ReproducibleCode

Which makes me think, does anyone have tips on how to run a successful book club on a textbook like Statistical Rethinking? We'll be meeting every two weeks, following Richard's older schedule at half speed. Different folks would sign up to lead the discussion. Mix of faculty and grad students.

Next semester I'm organizing a Statistical Rethinking book club for the bio dpt at @carleton.ca Interestingly we also decided to progress at half speed. This new 2 sections idea will be perfect if I ever decide to run future iterations of that book club (gotta learn the material first though!)

"The CSU isn’t investing in education—it’s outsourcing it, paying premium prices for a chatbot many students were already using for free."

The scientist-statistician was one of the most common professions in 21st century universities. In this era, statistics was seldom conducted by trained statisticians. Instead, subject experts, who possessed hard- and software, were responsible for tasks ranging from study design to causal inference

#OTD in 1967, Jocelyn Bell discovered pulsars & changed our view of the universe. 𝘉𝘶𝘵... The #Nobel Prize in #Physics for their discovery went to to her thesis supervisor Antony Hewish & to astronomer Martin Ryle. theconversation.com/fifty-years-...#OTD#Nobel#Physics#WomenInSTEM #astrophysics #MatildaEffect

I love the JBB story for a few reasons: - stringing 120 miles of wire - months of analzying paper roll data - her PI was like "that can't be right, do it again," the motto of PI's everywhere. - rare case of a landmark discovery becoming ubiquitous in popular culture for no particular reason

Tomorrow I'll have the pleasure of teaching version control to @carleton.ca ecology undergrads As a preamble, to drive the importance of professional tools for doing professional science, I've stolen @rmcelreath.bsky.social's entire lesson on the topic Of course, there will be classical memes

Marvel: "infinity war is the most ambitious crossover event in history" McElreath, Gelman & Vehtari:

I 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.

Yup, I've found this same need for periodic re-teaching of those fundamental concepts (both to myself and to others). I spent an hour yesterday reinforcing to a student the idea that smaller p-values != stronger effects, and that p-value = P(data | NH true) and not P(NH true | data).

Very much looking forward to this, and more than happy to support a good cause