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I had this idea to do a series of short lessons on learning probabilistic programming (with Stan etc), based on the Zen "Ten Bulls": 1 search 2 discovery 3 perception 4 capture 5 taming 6 riding 7 goal forgotten 8 self forgotten 9 back to the start 10 teaching. Would take some work to develop though

imma take this rare Patti Smith in the news to promote her 2010 memoire "Just Kids" about her life with Robert Mapplethorpe. It's in turns incredibly romantic, tragic, and fulfilling. Read it!

would

I don't care what the haters say, tikz is nice, can have a tiny fish for a treat

For examples of the priorsense package in use, see e.g. chapter 17 case study ("sleep study") from the Bayesian Workflow website: avehtari.github.io/Bayesian-Wor...

I read Neuromancer in the 1980s. So I've forgotten some of the plot. But I remember it as a love story between two AIs and the plucky humans who help bring them together. I hope the forthcoming TV adaptation is true to the romance of the original.

I see now we missed an opportunity by not entitling our book "Bayesian Odyssey" instead of "Bayesian Workflow". The priors are polytropic! Still all the case studies are online avehtari.github.io/Bayesian-Wor... (and python translations arviz-devs.github.io/bayesian-wor...) for your adventure

I know we are going to get birds bc everyone loves the birds. I wonder though why these birds? None are particularly European. Which is maybe the point? I couldn't find anything online explaining how these species were chosen. (I do not like the reverse design with EU gov buildings. Puke.)

I think a lot of us underestimated how good solar would get. Modern arrays convert 20% of sunlight to electricity. Plants struggle to achieve 2% with photosynthesis. Suck it, plants.

much respect for people doing this kind of work. it’s not glamorous, but it is worthwhile

oh nice to see this thread resurrected. dual (and more) life cycle organisms are so common. those of us who study vertebrates are studying some of the most boring animals ever to evolve on this earth

Mischka cat is in fact the size of a small dog and insists on flopping on my lap. He has not read the Odyssey

Nice little bayes puzzle from Christian Robert‘s blog xianblog.wordpress.com/2026/07/22/b...

broken random generatorsNothing exciting or catastrophic here! Just a Friday afternoon puzzle entry on the successor to The Riddler (which I had not visited for a long while)… The first riddle reads as follows: A ra…xianblog.wordpress.com

When I am writing, I end up looking up lots of weird details. Today, I looked up who is responsible for the statistical independence symbol: Finnish mathematician Gustav Elfving in 1950s. He used a double orthogonal ⊥⊥, bc independence is stronger than orthogonality. Dawid's 1979 paper squished it.

I spontaneously wrote the sentence "The history of causal inference mirrors the history of the laser" so now I am reading the history of lasers. Just to make sure I haven't hallucinated anything

This looks useful. A typical meta-analysis in ecology mixes experiments with observational studies, mixes coefficients with different controls and therefore different causal meanings. I would not normally say "hey the folks in medicine are doing it right, imitate them" but in this case maybe

Now that the Bayesian Workflow book is physically in the world, I am spending more time again on 3rd edition of Stat Rethinking. Lots of workflow stuff to weave into it. (Yeah I am still just using latex, you quarto kids get off my lawn.)

Osvaldo is translating the Bayesian Workflow book's case studies to Python, very useful in case you are snake person arviz-devs.github.io/bayesian-wor...

If Haaland wanted a raccoon, he should have come to Leipzig. We have I think 1.2 million of them.