Consider Reardon, Kalogrides & Shores (2019). They found that even in districts where lower-performing groups had higher SES than Whites, they still tended to perform worse.
In this picture, 79% of the mean Black-White gap is independent of SES. At the metro level, 62% was.
It is a pernicious myth that test scores and achievement gaps are mere reflections of geography and that geography plays a major causal role in test scores.
The truth is that their association primarily reflects selection.
On the left, you can see a map of corruption indexed by the number of mob crimes per 100,000. On the right, you can see corruption indexed by how much people steal from the public purse.
And in the middle, a map of inbreeding.
Clannish people do clannish crimes.
Though it's noted in the image, I want to reiterate that the corruption measure on the right is reverse-coded, so higher values indicate lower corruption.
The correlations with consanguinity are 0.65 and -0.52, and they hold up splitting the country in half and in other specs.
Outside of Italy, in the wider world, corruption perceptions also relate to consanguinity.
The correlation is high, and far from perfect, but both measures contain error, so keep that in mind.
The largest price-fixing operation in U.S. history took place when @tevapharm hired a woman to do "price increase implementation."
Through LinkedIn & Facebook, she organized a multi-billion dollar cartel, singlehandedly increasing generic drug prices.
There are lessons here🧵
When the cartel started, the companies in question started filing ANDAs, the FDA's "Abbreviated New Drug Applications" to start selling a generic version of an existing drug.
You can see that the involved parties started filing and getting approvals en masse.
When the log(price) hikes are stratified across markets, we see that the cartel was either better able to or more greatly desired to keep prices elevated in smaller markets.
Which makes sense! When the drug is rare, it's easier to successfully collude.
It's well-known that a very small portion of the total criminal population is responsible for the overwhelming majority of all crime.
A new study shows that this is also true of prison misconduct:
Just 10% of prisoners are responsible for more than 70% of misconduct in prisons!
The above numbers were for males. Here are the numbers for female prisoners.
The numbers are eerily similar.
Misconduct overrepresentation holds adjusting for time served in prison, and being a high-misconduct prisoner is predicted by being younger, Black, having a more extensive criminal history, being a violent criminal, being in a state facility, using drugs, and mental disorders.
I used to like this chart, but now I think it's too misleading and we should leave it behind in 2024.
🧵
The key issue is how household size is adjusted for.
In the OP image, they divide by the square root of household size. This is problematic because it means Gen Z incomes are being inflated to the extent they live with their parents.
Generally, when I hear that the younger generations are more successful, what I think is that they're more successful in the stereotypical ways:
They've got relatively better jobs, relatively bigger homes, relatively faster cars and all that.