I know just one person over 100 with an actual birth certificate.
Across U.S. states, the total and per capita numbers of supercentenarians dramatically decline right after the introduction of birth certificates (blue line).
Also, have you ever noticed that supercentenarians are more common in areas with more crime, more poverty, and lower average life expectancies?
Here's data for England:
The same pattern of supercentenarian numbers being correlated with poverty holds in (A, D) England, (B, E) France, and (C, F) Japan.
Across countries, you just see the same things over and over, from age heaping to weird correlations, so the conclusion is clear:
Supercentenarian numbers are driven less by regionally exceptional longevity and more by people defrauding pension systems and making up their ages.
Oh, and if you wanted to learn how to live a long life from the "blue zones" in Sardinia, Okinawa, and Icaria, good luck. Those places have low life expectancies and literacy levels, high crime, and lots of poverty.
Their long-lived people are not able to validate their ages.
This also applies to Loma Linda (not all that exceptional of a place).
In fact, across the whole U.S., at least 17% of centenarians were found to be non-centenarians in 2019 when someone just read through two plain-text files and found dates didn't match.
And this also applies to Nicoya, which is riddled with fraudulent ages:
If someone says they know someone super old, ask them: Where were they born? If it's in some place that was poor in the not-too-distant past, then they probably have the wrong age.
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
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 false🧵
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 progress🧵
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.