
BAD DataTakes
@BadDataTakes
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https://t.co/IOLgCbvvRj might get more active: @[email protected] https://t.co/rf3SpI2KUI Tracking bad use of data; data is plural;
Joined September 2021
Just a reminder that I did set up a substack as my official backup.
Hi new friends. see this thread for how this account works, how it's somewhat different from @GraphCrimes and how it's somewhat different from bad take twitter
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Should probably bookmark this one for the future.
@besttrousers This person has never looked at data in their lives.
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Silver especially has been very big on "Everyone remembered 2019 Kamala Harris being extreme lib" because of her policies at the time but all the polling indicated she was seen as a continuation of Biden, and that both Biden AND Harris were viewed as more extreme than Trump.
Lazy cope. I don't think the wokeness stuff was especially important, but Harris went very left on culture stuff in 2019. More importantly we had 9.1% peak inflation, much higher immigration, and then Ds initially renominated an 82 y/o who was obviously unfit for the job.
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At the end of the day, people didn't believe trump when he said extreme things and assumed that he would be "change". Its hard to win elections when people just refuse reality
This seems right to me. Be wary of any election analysis that is just pushing personal narrative by proxy. If it sounds like "Harris would have won if she agreed with me more" it's most likely wrong.
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The chart is from here; I got pay walled after a bit. Emily Oster is a parenting blogger who generally knows how to use data, but also can manipulate it at the same time. Chart seems legit, although I didn't see the significance numbers.
parentdata.org
Infant co-sleeping is a fraught topic. Last year The Cut asked, “Are we all secretly co-sleeping?” and concluded, basically, yes.
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Sample size is way too small for this kind of analysis. This just isn't telling you anything . (And there's decent enough reason to just doubt the numbers).
Who commits mass shootings?. 2015–2025 public incidents (4+ killed), per million:. 1.Trans/NB (Bio Male) – 0.769.2.Trans/NB (Bio Female) – 0.667.3.Asian Men – 0.408.4. Black Men – 0.198.5.White Men – 0.176.6.Asian Women – 0.097.7.Hispanic Men – 0.094
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This seems right to me. Be wary of any election analysis that is just pushing personal narrative by proxy. If it sounds like "Harris would have won if she agreed with me more" it's most likely wrong.
Two things can be true at once: . 1. The Harris campaign made strategic errors—most notably by not letting there be daylight between her and Biden. 2. Harris winning was the only way to stop fascism. If you weren’t engaged in that effort fully, you’re also part of the problem.
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Tech is still in the fold. Tech workers are still overwhelmingly dem. But a series of tech execs have gone full MAGA and they aren't in the fold. Its the billionaires who want to turn America into a techno fascist state that we don't like.
I think a lot was accomplished for the common good back when Barack Obama was president and the tent was capacious enough to encompass tech.
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Depending on what this means, this has global consequences. The United States CDC, despite the problems, is a major global leader in public health and disease prevention. They make a LOT of important things happen.
BREAKING: At least 3 CDC leaders have resigned tonight: . Dan Jernigan, National Center for Emerging and Zoonotic Infectious Diseases . Deb Houry, chief medical officer . Demetre Daskalakis, National Center for Immunization and Respiratory Diseases . Possibly more TK.
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And let me tell you, its consistently the dumbest version of work that the ai is doing.
Very important paper, for two reasons:. 1) Key finding: employment *is* falling in early-career roles exposed to LLM automation. 2) Shows that administrative data (millions of payroll records) is much better than survey data for questions requiring precision (occupation x age).
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