The upcoming week at Statistical Modeling, Causal Inference, and Social Science
On one of the coldest days of the year, you'll be sitting inside, curled up under a warm comforter, eyes glued to the computer screen. Here's what you might be reading.
Mon 8 Jan 2024: Bayesians are frequentists.
Tues 9 Jan: God is in every leaf of every tree—comic book movies edition.
Wed 10 Jan: The appeal of New York Times columnist David Brooks . . . Yeah, I know this all sounds like a nutty “it’s wheels within wheels, man” sort of argument, but I’m serious here!
Thurs 11 Jan: My quick answer is that I don’t care much about permutation tests because they are testing a null null hypothesis that is of typically no interest”
Fri 12 Jan: Why isn’t Barack Obama out there giving political speeches?
Sat 13 Jan: Pinker was right, I was wrong.
Sun 14 Jan: “And while I don’t really want a back-and-forth . . .”
And here were last week’s posts:
6 Jan: Ben Shneiderman’s Golden Rules of Interface Design
5 Jan: Since Jeffrey Epstein is in the news again . . .
5 Jan: What to trust in the newspaper? Example of “The Simple Nudge That Raised Median Donations by 80%”
4 Jan: In some cases academic misconduct doesn’t deserve a public apology (by Jessica)
4 Jan: Progress in 2023
3 Jan: “It’s About Time” (my talk for the upcoming NY R conference)
2 Jan: Clarke’s Law, and who’s to blame for bad science reporting
1 Jan: Extinct Champagne grapes? I can be even more disappointed in the news media (by Lizzie)
31 Dec: The continuing challenge of poststratification when we don’t have full joint data on the population.