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.
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.
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.
More recently, in the deadliest states with respect to dog attacks, it's clear that pit bulls are to blame for most dog fatalities.
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
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
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.
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.
Some of you who are familiar with medicine no doubt do, but if you don't, no worries: This is James Lind, the man most often credited with finding the cure for scurvy.
Scurvy is one of humanity's great historical killers.
It's a gruesome condition that culminates in your life's wounds reappearing on your flesh. If you want a picture, go look it up.
You never hear about it today though, because it's so easy to cure.
This research directly militates against modern blood libel.
If people knew, for example, that Black and White men earned the same amounts on average at the same IQs, they would likely be a lot less convinced by basically-false discrimination narratives blaming Whites.
Add in that the intelligence differences cannot be explained by discrimination—because there *is* measurement invariance—and these sorts of findings are incredibly damning for discrimination-based narratives of racial inequality.
So, said findings must be condemned, proscribed.
The above chart is from the NLSY '79, but it replicates in plenty of other datasets, because it is broadly true.
For example, here are three independent replications:
A lot of the major pieces of civil rights legislation were passed by White elites who were upset at the violence generated by the Great Migration and the riots.
Because of his association with this violence, most people at the time came to dislike MLK.
It's only *after* his death, and with his public beatification that he's come to enjoy a good reputation.
This comic from 1967 is a much better summation of how the public viewed him than what people are generally taught today.
And yes, he was viewed better by Blacks than by Whites.
But remember, at the time, Whites were almost nine-tenths of the population.
Near his death, Whites were maybe one-quarter favorable to MLK, and most of that favorability was weak.
The researcher who put together these numbers was investigated and almost charged with a crime for bringing these numbers to light when she hadn't received permission.
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!
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.