Best of Twitter - Week of November 30, 2020
Apologies for an unusual delay of the newsletter this week - I’ve been trying to not get conscripted into the Russian army for the last week and that took priority over all of the other stuff I wanted to get done. O-1 visa and the move to the US can’t come fast enough.
This is kind of crazy: nber.org/digest-202012/…
Companies have learned to use (or exclude) certain words to make their corporate filings be interpreted more positively by financial ML algorithms.
Thread of musings on sth I noticed recently: conversations about how we might find meaning in a post-work world heavily feature music and art... but I can't remember sports being mentioned even once. How come, when it provides so much meaning/community/joy to so many people? 1/5
Think about it: millions of fans bond with family/friends over matches beamed to their house from hundreds/thousands of miles away. Big celebrations spill into the streets as outpourings of joy and connection. There's hope, loyalty, excitement, strategy, pride, exultation. 4/5
Exporting @Ofstednews best practice to India had precisely zero impact on teaching & learning
Important (& depressing) results from @karthik_econ & @singhabhi
nber.org/system/files/w…
1. We want hospital infections to decrease.
2. We want the number of infections that hospitals self-report to decrease, and we'll punish those that diagnose or admit to a higher number.
Numbers 1 and 2 are not the same . . .
Rich Duszak, MD @RichDuszak
Great thread. The dominance of Likert-type outcome measures means that most psychologists don't actually know what a non-arbitrary measure looks like. So here's a thread on how we can make our measures less arbitrary: 1/n
For e.g., Matthias Mehl has used audio recordings of real behavior to show that scoring "4" vs. "2" on measures of extraversion and conscientiousness translated into 10% less time spent alone & 3x more time spent in class, respectively doi.org/10.1111/j.1751… 6/n
^ very interesting thread
I am excited to announce today that @eLife is transitioning to a new model based on author-driven publishing (preprints) and public post-publication peer review and curation
Our moves are designed to catalyze the desperately needed transition of science from the slow, exclusive, and expensive "review then publish" model born with the printing press to a "publish then review" model optimized for the Internet.
^ wow!!!!!!! thread