American military veterans have a suicide problem.
Some have theorized the reason is deployment-related trauma.
Leveraging the random assignment of new soldiers to units with different deployment cycles, Bruhn et al. found that was wrong.
Deployment did not increase suicides.
Looking only at violent deployments (ones with peer casualties), there aren't noncombat mortality effects either.
What explains veteran suicide rates?
The reason seems to be that the proposition is wrong: veterans do not have increased suicide risk.
This may seem surprising, but it's not. Their suicide rates are elevated over the general population because most of them are young White men. That group has a suicide issue.
There are good and bad parts to this observation.
On the one hand, it means that there is not selection of suicidal people into the military.
On the other, demographic selection makes this problem into one that agencies like the VA will probably not be able to fix on their own
because it's not a soldier problem, it's a young White male problem.
I don't know how this can be fixed, but presumably tackling opiate use would help.
Soliman (2022) found that DEA crackdowns on overprescribing pharmacies resulted in fewer local suicide deaths.
Soliman also found that sanctioning specific doctors affected opioid-related mortality more generally without impacting suicide rates. Effects were generally larger for males than females and they were larger for people aged 30-49 than those aged 15-29 or 85+. No race data.
Kennedy-Hendricks et al. found that Florida's pill mill crackdown reduced opioid overdose mortality considerably.
Their supplement contained details on the characteristics of the people who died from opioid overdoses, but I wasn't able to access it.
There's a popular belief that family wealth is gone in three generations.
The first earns it, the second stewards it, and the third spends it away: from shirtsleeves to shirtsleeves in three generations!
But how true is this belief?
Gregory Clark has new evidence🧵
The first thing to note is that family wealth is correlated across many generations. For example, in medieval England, this is how wealth at death correlates across six generations.
It correlates substantially enough to persist for twelve generations at observed rates of decay:
But why?
The dominant theory among laypeople is social: that the wealth is directly transmitted.
This is testable, and the Malthusian era provides us with lots of data for testing.
The Catholic Church helped to modernize the West due to its ban on cousin marriage and its disdain for adoption, but also by way of its opposition to polygyny.
The origin of this disdain arguably lies with Church Fathers like Justin Martyr, Irenaeus, and Tertullian🧵
Justin Martyr, in his Dialogue with Trypho argues with a Jew that Christians are the ones living in continuity with God's true intentions.
Justin sees Genesis 2 ("the two shall become one flesh") as normative.
In his apologetic world, Christians are supposed to transcend lust.
Irenaeus, in Against Heresies, is attacking Gnostics (Basilides, Carpocrates), whose sexual practices he finds scandalous.
To him, "temperance dwells, self-restraint is practiced, monogamy is observed"—polygyny is a doctrinal and moral deviation from creation affirmation.
The effects of charter schools on student test scores are meta-analytically estimated to be small.
In this study, the largest estimated effect was estimated to be equivalent to ~1.35 IQ points, for mathematics scores, which consistently showed larger effects than reading scores.
Similarly, the estimated effect of parents' preferred schools and of elite public secondary schools on test scores is around zero.
More interestingly, it seems charter school openings lead to competition that marginally boosts non-charter student performance and reduces absenteeism by very small degrees:
This analysis has several advantages compared to earlier ones.
The most obvious is the whole-genome data combined with a large sample size. All earlier whole-genome heritability estimates have been made using smaller samples, and thus had far greater uncertainty.
The next big thing is that the SNP and pedigree heritability estimates came from the same sample.
This can matter a lot.
If one sample has a heritability of 0.5 for a trait and another has a heritability of 0.4, it'd be a mistake to chalk the difference up to the method.