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So much of academia is about connections and reputation laundering
1. Statistics / numerical analysis / data science is a lot harder than you, the reader of this blog, might think.
Andrew Gelman
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2
Chief scientist of major corporation can’t handle criticism of the work he hypes
A correspondent who wishes to remain anonymous points us to this article in Technology Review , “Why Meta’s latest large language model survived only three days online. Galactica was supposed to help scientists. Instead, it mindlessly spat out biased and incorrect nonsense.” Here’s the story:
3
A Post Mortem on the Gino Case
Zoe Ziani, a psychology researcher who had the misfortune several years ago as a Ph.D. student be tasked with following up on some unrelicable published psychology research, tells the story of how her department pulled the chair out from under her:
4
Every modeler is supposed to be a great Python programmer
This post is by Phil Price, not Andrew. I’ve had a run of luck ever since I left my staff scientist position at Lawrence Berkeley Laboratory to become a freelance consultant doing statistical modeling and forecasting, mostly related to electricity consumption and prices: just as I finished a contract, another one…
5
Bad stuff going down at the American Sociological Association
I knew the Association for Psychological Science, the American Psychological Association, the American Political Science Association, the American Statistical Association, and the National Academy of Sciences had problems. It turns out the American Sociological Association does some bad things too.
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Dean of Engineering at University of Nevada wrote a paper that’s bad
“As we look to sleep and neuroscience for answers we can study flies specifically the Drosophila melanogaster we highlight in our research.”