There are people who desperately want this to be untrueđź§µ
One example of this came up earlier this year, when a "Professor of Public Policy and Governance" accused other people of being ignorant about SAT scores because, he alleged, high schools predicted college grades better.
The thread in question was, ironically, full of irrelevant points that seemed intended to mislead, accompanied by very obvious statistical errors.
For example, one post in it received a Community Note for conditioning on a collider.
But let's ignore the obvious things. I want to focus on this one: the idea that high schools explain more of student achievement than SATs
The evidence for this? The increase in R^2 going from a model without to a model with high school fixed effects
This interpretation is bad.
The R^2 of the overall model did not increase because high schools are more important determinants of student achievement. This result cannot be interpreted to mean that your zip code is more important than your gumption and effort in school.
If we open the report, we see this:
Students from elite high schools and from disadvantaged ones receive similar results when it comes to SATs predicting achievement. If high schools really explained a lot, this wouldn't be the case.
What we're seeing is a case where R^2 was misinterpreted.
The reason the model R^2 blew up was because there's a fixed effect for every high school mentioned in this national-level dataset
That means that all the little differences between high schools are controlled—a lot of variation!—so the model is overfit, explaining the high R^2
This professor should've known better for many reasons.
For example, we know there's more variation between classrooms than between school districts when it comes to student achievement.
As a recap on my appearance, Eli Lilly is pursuing:
- A one-dose drug for preventing most heart disease
- A vaccine for chlamydia
- A vaccine for gonorrhea
- A vaccine for Epstein-Barr
- A drug that lets you stay awake longer and feel more rested
And remember, Eli Lilly's big break historically was the University of Toronto licensing them to produce insulin.
They started off by giving it out for free, saving the world's diabetics at a time when there was no treatment available.
They've always been a force for good.
I think
- The heart disease drug will succeed
-- Will it commercialize? It can, easily. But I'm 50/50 due to the competition
- Chlamydia and gonorrhea vax will succeed, but I don't see much commercial potential with Lilly
- EBV vaccine will fail with Lilly, succeed eventually
They've gone and made what seems to be a powerful, permanent gene therapy for LDL cholesterol.
That means they'll be able to effectively prevent most heart disease with a single infusion!
Almost all of the side effects were just things you see with any infusion. Some people react poorly to needles and having to sit for a while🤷‍♀️
And that's what we expect, because the people with good PCSK9 genes naturally are totally fine. This therapy catches the rest of us up!
This is amazing stuff, beating drug administration because it's permanent, and it only gets better from here.
We are going to get so healthy, so fast. Our grandkids are going to hear about heart attacks and have never actually seen one.
Are White women the primary beneficiaries of affirmative action?
That's a real claim that's commonly advanced by journalists, and the claim has gone so far that it's even made its way into academic publications and policy.
But the claim is completely falseđź§µ
This claim doesn't make a lot of sense. After all, shouldn't the primary beneficiaries of affirmative action be the people who the policies primarily target?
In America, that's African Americans and, among them, women get an added benefit. How could it be Whites?
To figure out where the claim comes from, I started reading supposed sources.
Often enough, journalists will just take the claim for granted without providing *any* source.
It's just tacit knowledge now, and that's not good!
World War I devastated Britain and likely slowed down its technological progressđź§µ
The reason being, the youth are the engine of innovation.
Areas that saw more deaths saw larger declines in patenting in the years following the war.
To figure out the innovation effects of losing a large portion of a generation's young men who were just coming into the primes of their lives, the authors needed four pieces of data.
The first were the numbers and pre-war locations of soldiers who died.
The next components were the numbers and locations of patent filings.
If you look at both graphs, you see obvious total population effects. So, areas must be normalized.
You know how most books on Amazon are AI slop now? If you didn't, look at the publication numbers.
Compare those to the proportion Pangram flags as AI-generated. It's fully aligned with the implied numbers based on the rise over 2022 publication levels!
Similarly, the rise of pro se litigants has come with a rise in case filings detected as being AI-generated, and with virtually zero false-positives before AI was around.