Crémieux Profile picture
Apr 11, 2023 9 tweets 3 min read Read on X
As pit bulls have become more common, their representation in dog fatalities has grown, as have the per capita rates of dog fatalities and injuries. Chart showing the proportio...
In 1979-1998, pit bulls were a quarter as common as now, but they were still responsible for a large % of deaths. The premiere "aggressive dog" at the time was the Rottweiler, and despite its reputation, bad owners, and far greater numbers, it didn't kill as many as the pit bull. Image
And this isn't due to mix-ups. We used to have data separating purebred pit bulls from crossbred ones.

Crossbred pit bulls are fortunately now more common, but they used to be the less common variety. It's fortunate because the mixing means less violence per dog. Image
More recently, in the deadliest states with respect to dog attacks, it's clear that pit bulls are to blame for most dog fatalities. Image
A major part of why pit bulls are such outliers is that, where we have data, it appears they kill people at a wider - older - range of ages.

52% of all dog fatalities are of people ≥10 while 72% of pit bull fatalities are, versus 28% for the ~94% from all other breeds combined Image
Despite aggressive dogs and bad owners being a thing forever, the switch from Rottweilers and the like to the pit bull has been destructive for this reason

Dog fatalities used to be a problem for children alone, but due to pit bulls they are now largely a problem for people ≥10 Image
Pit bulls are not deadly because they're strong. Many breeds are stronger. They are deadly for the reason fighters want them: tenacity.

"Pit Bull" here is a mix, but the broader label applies to the APBT, American Staffordshire Terrier, and the Staffordshire Bull Terrier. Image
This is something that's difficult for police to get dogs to adopt through the rigorous training they're subjected to. Most fail! Because it's been bred into pit bulls, it's much more reliably observed in that breed.

Other BSL'd breeds are also often extremely tenacious.
Here's a previous post with the relative risks of fatalities by breed.

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More from @cremieuxrecueil

Jan 17
Greater Male Variability rarely makes for an adequate explanation of sex differences in performance.

One exception may be the number of papers published by academics.

If you remove the top 7.5% of men, there's no longer a gap! Image
The disciplines covered here were ones with relatively equal sex ratios: Education, Nursing & Caring Science, Psychology, Public Health, Sociology, and Social Work.

Because these are stats on professors, this means that if there's greater male variability, it's mostly right-tail
Despite this, the very highest-performing women actually outperformed the very highest-performing men on average, albeit slightly.

The percentiles in this image are for the combined group, so these findings coexist for composition reasons. Image
Read 6 tweets
Jan 17
One of the issues with understanding Greater Male Variability on IQ tests is that groups that perform better tend to show greater variance

Therefore, to estimate the 'correct' male-female gap, you need to estimate it when the difference is 0

In the CogAT, that looks like this: Image
In Project Talent, that looks like this: Image
And comparing siblings in the NLSY '79, that looks like this: Image
Read 5 tweets
Jan 14
About a decade ago, a theory emerged:

If men do more of the housework and child care, fertility rates will rise!

Men have been doing increasingly large shares of the housework and child care.

Fertility is lower than ever.Image
In fact, they're doing more in each generation, but fertility has continued to fall. Image
The original claim, that men's household work would buoy fertility, was based on cross-sectional data that was inappropriately given a causal interpretation.

The updated cross-sectional data is as useful, and it affords no assurances about the original idea.

We should move on.
Read 4 tweets
Jan 13
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
Read 8 tweets
Jan 12
That aspect is probably not that unrealistic, unfortunately.

Across the OECD, on average, just 55% of 15-to-16-year-olds got this question right, and no country saw 80% get it.

Most people globally *do* struggle even reading simple tables. What else?

Thread.🧵 Image
That table-reading question is "Level 3", which, amazingly, corresponds to an already-high level of ability, by global standards.

This is a simpler Level 1 question, but with this, 92% of the OECD got it, including just 65% of Brazilians and 53% of Peruvians. Image
Level 2!

Just 77% of the OECD got this, with less than half of the Mexican population being up to the task.

In fact, only Asian countries got over 90% on this trivial question. Image
Read 9 tweets
Jan 10
Credit card rewards are a great way to redistribute billions of dollars from people who are bad with money to people who are good with it.

With the advent of rewards cards (red), there's lots of cross-subsidization of people with high credit scores by people with low scores. Image
Curiously, the degree of cross-subsidization is not just an income thing.

People with high incomes (green) and moderate incomes (yellow) take fewer rewards at low credit scores, although they take more at high credit scores. Image
What does this do demographically? Spatially?

Credit card rewards transfer money from uneducated to educated, poor to rich, Black to White, and rural to urban. Image
Read 5 tweets

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