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DOGs has also cancelled an impact evaluation of after-school programs in high-poverty schools with the goals of reducing drugs and violence. the program is intact, but the *evaluation* of the effect of the program, ie what it does or doesn't do to help kids, is cancelled!
You can find this paper and more at her research homepage here assuming Elon does not sink this thread like a stone with his algorithm. https://twitter.com/economeager/status/1447605167478779910and this!
https://twitter.com/economeager/status/1548637721694015488?s=20
https://twitter.com/economeager/status/1445378949526208522One thing I found depressing about the discussion we had here last time is people started debating whether the author of this essay is sufficiently morally good as to be worthy of our attention. i'm worried for us if this is where we are going.
https://twitter.com/socintraining/status/1083247105219665920at this point i basically don't think laziness as we conceive of it really exists. If it does exist, then lazy people are HAPPY when they don't do tasks, and a self actualised lazy person would say no to doing tasks. if you're not happy about not doing tasks, you're not lazy.
In fact, Maya was not fired from her job, the main problem was not tweets but workplace conduct, and the objectionable speech in question is not the claim "that biological sex is real".

Imagine driving a car, reaching a hill and pumping the gas as you begin to go up so that your speed is constant. The correlation between pressing on the gas and the speed of the car is zero but they’re obviously causally related, it’s that the agent is optimizing speed!
https://twitter.com/betanalpha/status/1389219489254883335haha i forgot i said "nothing is robust to all kinds of misspecification, that would be insane"
https://twitter.com/autoregress/status/1336718908745789440Guys this paper is super important. Arnold, Hull and Dobbie are among the most careful applied econometricians we have, and the explosion of algorithmic decision making means this method -- and their finding of pervasive discrimination -- could hardly be more timely.