Crémieux Profile picture
Sep 23, 2024 7 tweets 3 min read Read on X
The FBI has finally released crime statistics for 2023!

Let's have a short thread.

First thing up is recent violent crime trends: Image
Now let's focus in on homicides.

The homicide statistics split by race show the same distribution they have for years. Image
As with every crime, it's still men doing the killing, but it's also largely men doing the dying. Image
What about Hispanics? Their data is still a mess, but here it is if you're interested. Image
The age-crime curve last year looked pretty typical. How about this year?

Same as always. Victims and offenders still have highly similar, relatively young ages. Image
Everything else, from locations to motives to weapons is pretty similar to previous years. What's different is that the OP might show incorrect numbers.

For the past two years, the FBI has silently updated their numbers after about two weeks.

You can use the web archive to see that the data from the OP is the data shown at release last year, and the data from 2023 is the 2022 data with the FBI's suggested reductions (i.e., -11.6% homicides, -2.8% aggravated assaults, -0.3% robberies, etc.).

But you can see on their site now that they've adjusted the numbers up, so the reduction they suggested has brought us down to a figure that's less impressive than my chart shows. The difference isn't huge so I showed the OP without updating to their new data.

For reference, 2022 as reported then had a homicide rate of 6.3/100k, and they silently updated that to 7.48/100k. The 2023 data they provided today actually has a murder rate of 6.61/100k, higher than last year's initially-reported number, but lower than the updated number. To make matters worse, if you use their Expanded Homicides Report, you get a rate of 5.94 for 2022 and 5.24 for 2023.

Methodology matters and we get to see inconsistency in this year's data, not even data that's been updated or anything. It's a mess, so take everything with a grain of salt and, in the interest of caution, only interpret trends. Trends are mostly common between all data sources even if the absolute magnitudes are off, constantly updated, etc.

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More from @cremieuxrecueil

Dec 30
Pit bull breeders often have Instagram accounts where they post stuff like this, showing the creations they've made through having dogs from the same litter rape each other.

For example, "2x Pimpy 3x Bape" means this one was inbred 2x from a dog named "Pimpy" and 3x from "Bape". Image
Typical pit bull family tree: Image
These are advertised on here, unfortunately:

Read 10 tweets
Dec 30
There is a problem at pet shelters:

They're full because no one wants to adopt the dogs.

Why? Because they're pit bulls, and only the unaware or dim want them.

So, shelters often blatantly lie. Here are some examples. These four are *not* really "Labrador Retrievers": Image
Adoptee: 'What breed is that?'

Employee 1: 'It's a p-'

Employee 2: 'You can't just tell them.'

Employee 2: 'Sir, that's a Corgi.' Image
'Do you think they'll believe this?' Image
Read 12 tweets
Dec 29
The whole "nanny dog" thing is made up. There is no historical evidence that pit bulls were ever bred to be stewards or friends to children.

The evidence for that myth is basically 'someone said it on Facebook'🧵 Image
Even many sources that are favorable towards pit bulls or active promoters of them will occasionally admit there's no real basis for the "nanny dog" claim.

Example: Image
Another example (and yes, I know "loyal and loving demeanor" is a lie; this is posted for the admission of myth): Image
Read 9 tweets
Dec 22
The Australian pension system is funded through mandatory contributions into private retirement accounts

During the COVID pandemic, the government allowed people to pull up to $20,000 from those accounts decades early

What happened?

Firstly, uneducated people pulled the most: Image
Australia did this because they needed fiscal stimulus.

If they didn't allow people to make early withdrawals from their accounts—which normally remain inaccessible until retirement age—, they would have ended up in a very bad position.

But people did withdraw. Image
About a quarter of those aged >34 withdrew.

The most common amount to take out was $10,000 each time the possibility became available.

All said and done, that typically meant pulling down 51% of the total balance. That also meant foregoing $120,000 on average by retirement! Image
Read 10 tweets
Dec 21
The biggest argument against using GLP-1s for weight loss is that they cause excess muscle loss.

But as it turns out... GLP-1s do not cause any more muscle loss than traditional weight loss methods!

Let's discuss🧵Image
The differences in weight loss in that chart showing data from different trials are not

1. Clinically significant—they're not large enough to matter physiologically

2. Statistically significant—each weight loss method is not distinguishable in current data

But that's lean mass
Lean mass includes water.

Unfortunately, if we use DXA scans to understand body composition, we include that with muscle.

But if we use MRIs, we can separate water and muscle! As it turns out, the UK Biobank has just the required data. Image
Read 13 tweets
Dec 7
Why do identical twins have such similar personalities?

Is it because they're reared together? Is it because people treat them alike due to their visual similarity?

Nope! Neither theory holds water. Image
Despite looking as similar as identical twins and being reared apart, look-alikes are not similar like identical twins are. In fact, they're no more similar than unrelated people.

This makes sense: they're only minimally more genetically similar than regular unrelated people.
The other thing is that twins reared apart and together have similarly similar personalities.

In fact, there might be a negative environmental effect going on, where twins reared together try to distinguish their personalities more!
Read 7 tweets

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