It looks like the median/mode is 1-2 car accidents (50% of drivers), and the average is 3-4. 25% of drivers have no accidents (as far as insurance companies are concerned, ie, no claims or police reports).
I'm curious how this looks with various ways of normalizing for amount driven; is that no-accident crowd the quartile of drivers who don't drive very much? The biggest factor in being in the opposite group (the 10% of drivers with 50% of accidents) is "drive all the time, commercially or otherwise".
1800s Republicans were a big business, religious, nationalist party. The Union side in the Civil War was motivated by religion (cc "Battle Hymn of the Republic") and nationalism. Rich men paid to have poor men serve in their stead.
Basically it's just bundling the API documentation into a standard format to plug into LLMs, if you're comfortable running prompt injection on yourself and downloading random text from random websites and telling your favorite LLM to use it to access your banking information.
The stat I keep in my back pocket is that you can roughly divide the total time lived by humans (the integral of population over time) into three tranches, with one third of human experience being before the dawn of agriculture, and one third being after 1600. (Related fun fact: WWII was about 1% of human experience, based on the back of the envelope that ~50% of the world experienced "being at war" for nearly a decade.)
The distribution of human lives versus years lived by humans will skew earlier, because infant mortality was absurd for the first two tranches, with something like 50% of people dying before the age of five, so it will be more like 40-40-20 over those time periods.
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