The big picture: assortative mating has intensified in recent generations.
Especially for height and education.
This means biases in GWAS & downstream analyses are likely stronger in younger cohorts.
This is an interesting comparison because, from what I recall, many of the pointless covid contact tracing and forecasting apps came from "the tech sector" whereas the vaccines and mass testing that actually got people back to school/work came from conventional wet labs.
This is an interesting comparison because, from what I recall, many of the pointless covid contact tracing and forecasting apps came from "the tech sector" whereas the vaccines and mass testing that actually got people back to school/work came from conventional wet labs. https://t.co/kWFg8yqpg0
This stuff should be socially unacceptable, the ppl creating this should be treated as persona non grata and conversely, we should venerate true heroes, like those who build real things. Moral relativism be damned.
We now have pretty durable evidence that bad schooling can have a serious negative impact (pandemic learning loss) but that good policy can meaningfully improve outcomes and quickly:
We now have pretty durable evidence that bad schooling can have a serious negative impact (pandemic learning loss) but that good policy can meaningfully improve outcomes and quickly:
@ArmandDoma Neither CA or NY is governed by progressives, but all Dem states should follow the evidence on education.
Phonics works, holding failing students back works, additional years of schooling works.
Ideally states should strip education from locals and set up a technocrat board.
In 2016 Geoffrey Hinton said “we should stop training radiologists now" since AI would soon be better at their jobs.
He was right: models have outperformed radiologists on benchmarks for ~a decade.
Yet radiology jobs are at record highs, with an average salary of $520k.
Why?
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