After 10 years, 4 drafts, 3 houses, 2 jobs, a pandemic and a life-threatening illness, it’s publication day! A book thread. press.princeton.edu/books/ha…
Still see people I miss here, but Elon's latest antics have reinforced my decision to stay the f@#$ off this platform.
Keeping the account for so I can keep giving invite codes to mutuals. I've got two today, reply or DM if you want one.
After 10 years, 4 drafts, 3 houses, 2 jobs, a pandemic and a life-threatening illness, it’s publication day! A book thread. press.princeton.edu/books/ha…
I just followed everyone who came up with this search on Twitter: url:"threads net" filter:follows
If you have, like, one follower or a locked account, sorry, don't mean to be creepy.
A round-up of all the posts from our @legalhistory series on "Outside In: The Oral History of Guido Calabresi." Thanks to @alex_tzhang, José Argueta Funes, @k_redburn, Serena Mayeri, @narosenblum & Alison Gocke for participating! Thanks to @epopppp for helping inspire my posts.👇
Really interesting paper. I wish people just understood what they were reading. But if adding variability produces more accurate interpretation of results (and doctors perform worst!), that seems really important.
We are visualizing our data all wrong.
Typically, academic graphs show statistical confidence intervals or standard errors. This paper shows that everyone from doctors to tenured faculty misread these graphs, assuming effects are larger. Show variability! jakehofman.com/pdfs/illusion…