2k followers 11 articles/week
This well-known paradox of R-squared is still buggin me. Can you help me out?

There’s this well-known—ok, maybe not well-enough known—example where you have a strong linear predictor but R-squared is only 1%. The example goes like this. Consider two states of equal size, one of which is a “blue” state where the Democrats consistently win 55% of the two-party vote and the other which is a “red” state where Republicans win 55-45....

Mon Jun 17, 2024 18:13
“Beyond the black box: Toward a new paradigm of statistics in science” (talks this Thursday in London by Jessica Hullman, Hadley Wickham, and me)

Sponsored by the Alan Turing Institute, the talks will be Thurs 20 June 2024, 5:30pm, at Kings College London. You can register for the event here, and here are the titles and abstracts of the three talks: Beyond the black box: Toward a new paradigm of statistics in science Andrew Gelman Standard paradigms for data-based decision making and policy...

Mon Jun 17, 2024 18:13
Myths of American history from the left, right, and center; also a discussion of the Why everything you thought you knew was wrong” genre of book.

Sociologist Claude Fischer has an interesting review of an edited book, “Myth America: Historians Take On the Biggest Legends and Lies About Our Past.” I’m a big fan of the “Why everything you thought you knew was wrong” genre—it’s a great way to get into the topic. Don’t get me wrong: I’m not a fan of contrarianism for its own sake, especially when...

Mon Jun 17, 2024 01:03
One way you can understand people is to look at where they prefer to see complexity.

In her article, “On not sleeping with your students,” philosopher Amia Srinivasan writes that she was struck by “how limited philosophers’ thinking was”: How could the same people who were used to wrestling with the ethics of eugenics and torture (issues you might have imagined were more clear-cut) think that all there was to say about professor-student...

Sat Jun 15, 2024 22:28
Loving, hating, and sometimes misinterpreting conformal prediction for medical decisions

This is Jessica. Conformal prediction, referring to a class of distribution-free approaches to quantifying predictive uncertainty, has attracted interest for medical AI applications. Reasons include because prediction sets seem to align with the kinds of differential diagnoses doctors already use, and they can support common triage decisions like ruling...

Sat Jun 15, 2024 03:57
Statistics Blunder at the Supreme Court

Joe Stover points to this op-ed by lawyer and political activist Ted Frank, who writes: Even Supreme Court justices are known to be gullible. In a dissent from last week’s ruling against racial preferences in college admissions, Justice Ketanji Brown Jackson enumerated purported benefits of “diversity” in education. “It saves lives,” she asserts. “For...

Sat Jun 15, 2024 03:57

Build your own newsfeed

Ready to give it a go?
Start a 14-day trial, no credit card required.

Create account