Crémieux Profile picture
Jun 1, 2023 8 tweets 4 min read Read on X
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. Image
Looking only at violent deployments (ones with peer casualties), there aren't noncombat mortality effects either.

What explains veteran suicide rates? Image
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. Image
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. Image
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.

Regardless, this problem can Image

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More from @cremieuxrecueil

Nov 25
After this article came out, several people responded, alleging that a cultural model made more sense.

Clark has a point-by-point response🧵

Let's start with the first thing: parent-child and sibling correlations in status measures are identical—hard to explain culturally! Image
The reason this is hard to explain has to do with the fact that kids objectively have more similar environments to one another than to their parents.

In fact, for a cultural theory to recapitulate regression to the mean across generations, these things would need to differ! Image
Another fact that speaks against a cultural explanation is that the length of contact between fathers and sons doesn't matter for how correlated they are in status.

We can see this by leveraging the ages parents die at relative to said sons. Image
Read 10 tweets
Nov 24
The idea:

The internet gives everyone access to unlimited information, learning tools, and the new digital economy, so One Laptop Per Child should have major benefits.

The reality:

Another study just failed to find effects on academic performance. Image
This is one of those findings that's so much more damning than it at first appears.

The reason being, laptop access genuinely provides people with more information than was available to any kid at any previous generation in history.

If access was the issue, this resolves it. Image
And yet, nothing happens

This implementation of the program was more limited than other ones that we've already seen evaluations for though. The laptops were not Windows-based and didn't have internet, so no games, but non-infinite info too

Still huge access improvement though
Read 4 tweets
Nov 22
What is the effect of having a parent get locked away on a kids' own risk of eventually committing crime?

As it turns out, basically nil.

Having a mother or a father locked away doesn't significantly increase risk, and indeed, may reduce it if it happens at an early age. Image
This is relative to no incarceration, so the result should be interpreted as... pretty shocking!

Similarly, we can look at the effects of longer versus shorter parental sentences.

There's seemingly little effect of the length of time parents are incarcerated for. Image
Compare those within-family estimates from above with these between-family results from the same study, period, cohort, etc.

Notice: the apparent 'effects' between families are significant stratified in the same way.

That's an important distinction! Image
Read 5 tweets
Nov 20
Why?

I doubt the answer is weight loss. Consider 2 other drugs for diabetes: DPP-4 and SGLT-2 inhibitors

GLP-1RAs are associated with less Alzheimer's vs. DPP-4is:

But not SGLT-2is:

Neither generates much weight loss, but SGLT-2is match GLP-1RAs on glycemic benefitsImage
Image
So, at least in this propensity score- or age-matched data, there's no reason to chalk the benefit up to the weight loss effects.

This is a hint though, not definitive. Another hint is that benefits were observed in short trials, meaning likely before significant weight loss.
We can be doubly certain about that last hint because diabetics tend to lose less weight than non-diabetics, and all of the observed benefit has so far been observed in diabetic cohorts, not non-diabetic ones (though those directionally show benefits).

Anyway, trials needed!
Read 4 tweets
Nov 20
El Salvador is now a safe country

The reason why should teach us something about commitment

The government there has previously attempted crackdowns twice in the form of mano dura—hard hand—, but they failed because they didn't hit criminals hard enough

Then Bukele really didImage
In fact, previous attempts backfired compared to periods in which the government made truces with the gangs.

The government cracking down a little bit actually appeared to make gangs angrier!

You'd have been in your right to conclude 'tough on crime fails', but you'd be wrong.
You have to *actually* enforce the law or policy won't work. Same story with three-strike laws, or any other measure

Incidentally, when did the gang problems begin for El Salvador? When the U.S. exported gang members to it

This was bad for El Salvador:

Read 5 tweets
Nov 18
Diets that restrict carbohydrate consumption lead to improved blood sugar and insulin levels, as well as reduced insulin resistance.

Additionally, they're good or neutral for the liver and kidneys, and they don't affect the metabolic rate. Image
Carbohydrate isn't the only thing that affects glycemic parameters.

So does fat!

So, for example, if you replace 5% of dietary calories from saturated fat with PUFA, that somewhat improves fasting glucose levels (shown), and directionally improves fasting insulin: Image
Dietary composition may not be useful for improving the rate of weight loss ceteris paribus, but it can definitely make it easier given what else it changes.

Those non-metabolism details may be why so many people find low-carb diets so easy!

Read 4 tweets

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