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Any Human Ever – One life, drawn at random from all who have ever lived

anyhumanever.com

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Re: Any Human Ever – One life, drawn at random from all who have ever lived

#241

My daughter is four. I drew a boy who lived 11000 years ago in Mexico. His longest travel was a half day walk carried by his family to a nearby foraging ground. He died at 4 from a zoonotic fever. Both parents outlived him. It’s random, it’s ai generated. Makes me appreciate life nevertheless.

yeah, and you don't have to go back that far

last night my wife and I were watching the first episode of a TV show Deadwood (set in the Dakotas in late 1800s), and my wife commented "I could never have lived then; I would have just killed myself immediately". The irony of course is that she would have been fine had she been born in that era as it would have appeared as "normal" to her then as the world today appears to us (ok things aren't normal right now, but I mean comparatively speaking), and "better" than 100 years earlier.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#243

I drew a woman born in 715 CE in the Yangtze Basin. It claims that 96% of women were married, the average age of marriage was 18, and 44% of women died before age 15. Clearly these facts can't all be true simultaneously. The firt citation for marriage data is listed as "Hajnal (RH31)", but links to a seemingly unrelated WorldCat search. The second citation is to "Kaplan (RH03)", which I was able to track down on sci-…

James was born on the British Isles, near Boulogne-sur-Mer, in 2009 CE. James's table is mostly oat and barley bread, pork and dairy, and cabbage and peas, with apples in season, and coffee and sugar as well. He is literate. Odd for a gen-z person in Britain. I doubt he’d eat a lot of cabbage, and I have no idea when the “season” for apples is as they are always in the supermarket and there aren’t any orchards near w…

> James died in 2027 as he jumped to his death from his room in a five-story hotel —his belly full of barley juice.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#244
post #204

Earlier quoted context omitted.

Excellent. I will thus take a copy of the latest Disney movie and train myself on it while claiming fair use as a defence to the accusation of copyright infringement.

You can do that legally as long as you do not confuse people that what you create might be an actual Disney product, or that you try to represent it as actually created by Disney. Both of those are protected by law. Learning from a Disney movie and creating your own thing is not, and should not be, disallowed.

[deleted]

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#245

I drew a woman born in 715 CE in the Yangtze Basin. It claims that 96% of women were married, the average age of marriage was 18, and 44% of women died before age 15. Clearly these facts can't all be true simultaneously. The firt citation for marriage data is listed as "Hajnal (RH31)", but links to a seemingly unrelated WorldCat search. The second citation is to "Kaplan (RH03)", which I was able to track down on sci-…

James was born on the British Isles, near Boulogne-sur-Mer, in 2009 CE. James's table is mostly oat and barley bread, pork and dairy, and cabbage and peas, with apples in season, and coffee and sugar as well. He is literate. Odd for a gen-z person in Britain. I doubt he’d eat a lot of cabbage, and I have no idea when the “season” for apples is as they are always in the supermarket and there aren’t any orchards near w…

apple season is fall, if you're wondering.

him eating apples when in season seemed to me at first like an anachronism, but actually, i do that. years ago i got fed up with apples that were whatever, so i decided to only have apples when i could find mcintosh (my favorite apple), and eat loads of them.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#246

I drew a woman born in 715 CE in the Yangtze Basin. It claims that 96% of women were married, the average age of marriage was 18, and 44% of women died before age 15. Clearly these facts can't all be true simultaneously. The firt citation for marriage data is listed as "Hajnal (RH31)", but links to a seemingly unrelated WorldCat search. The second citation is to "Kaplan (RH03)", which I was able to track down on sci-…

I got a man in India 1000 years ago who died at 92. Impressive yet rather unlikely.

The thing about stats is outliers exist. Whether those outliers themselves are interesting is another matter.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#247

Her farthest journey was a day's walk, to a nearby market town. I think this is what boggles my mind most about antiquity: the vast majority of people rarely ventured much past where they were born (unless they did a likely once in a lifetime religious pilgrimage which took the better part of a year). Seeing as most other people didn't venture further either, you really got to know the people around you very well. Co…

My grandmother told a story about meeting an elderly female relative in Kingston, Tasmania, soon after my grandparents had got their first car. After visiting, they said they were now going back to the city (Hobart), and the old lady said, "Oh, how lovely, I've never been!" My grandmother reported, "And I should have told her 'get in the car then!', because she died not too long after."

Kingston is 13 kilometers from Hobart.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#248
This is brilliant. I think it could stand to be a little more imaginative in their stories. It seems like it should be possible to do that while still conveying an accurate picture. "He made his living as a professional" is simply a wasted opportunity. There shouldn't be anything so vague. If you we're listening to a story, you would feel cheated. Embrace your idea.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#249
Creator here (proof https://anyhumanever.com/verify).

I noticed the traffic and am dropping by. A few quick answers after scanning through comments:

Q: Vibecoded? A: Mostly, not completely. I've been programming for 30+ years, and like a lot of people have gotten to the point where I seldom need to look at code anymore. Even so, this took around 4-6 weeks (part time) to get mostly right. A lot of the effort was in assembling the data in a mostly non-hallucinogenic way. More on that below.

Q: What's up with the inaccuracies? A: There are definitely inaccuracies. One of this big issues is that the data we have (mostly academic historical sources) only exist at a certain level of granularity, and attempting to "stretch" statistics is fundamentally error-prone. Different data sets overlap and disagree, and there are genuine unknowns. There's also a fundamental issue with using independent probabilities that should be conditional. For instance, x% of people died before 15, and y% in that same population died in an accident. Combining these statistics to get an estimate of children who died by accident involves coming up with a reasonable distribution of accidents by age, which is guesswork for a given historical time/place. In all, I'm shooting for mostly accurate given patchwork statistics, and a lot of filling in blanks in a reasonable way.

BTW, in order to test the accuracy of stories, I generated a few hundred random stories and created nit-picking "History teacher" agents to evaluate each for accuracy, then aggregated and addressed issues by frequency. It would have been hard to come anywhere close to that level of scrutiny without AI on tap. It's also why I'm so sure that there are still inaccuracies to be found. I was also able to point Claude at comments here, aggregate issues and fix them (with my ok), which means that the issues reported here should be mostly fixed.

Q: Do you cite sources? A: I pushed pretty hard on trying to cite all sources, being as open as possible about where data is coming from. Each element of the story links to its source, and the sources page lists all the sources used, included the lines in each table that come from that source.

For me, this was one of the interesting bits of fallout from the project. How should we source well in the age of AI? I wound up making a distinction between actual downloaded data (from a real publisher), vs what AI "claims" is accurate, citing a source, vs what AI claims to be true, and seems reasonable, but Claude can't cite a source, making it smell funny. In the age of AI-flavored truthiness, it's important to push hard on being able to trace all claims down to their primary sources.

One more note: the biggest source of inaccuracy is the AI-generated images. Comments run about 2:1 in favor of ditching them, but a lot of people really like the idea of adding humanity to a story by supplying a human face, even if AI-image gen insists on dressing the guy from 1375BCE in a snappy crew-neck tee.

Re: Any Human Ever – One life, drawn at random from all who have ever lived

#250
post #212

Earlier quoted context omitted.

"random" != "uniformly random", if you want to be pedantic.

But "is far more likely to fall near the present" = "is far more likely to fall near the present". The author makes the claim about probability distribution themselves, then does the opposite.

You're right, yet I agree with the website's approach. The goal of this site is to educate users about how people lived, not educate them about stats. IMO. I would have chosen the same algo.

It's clear to me that an even bigger HC crowd would howl "Oh, how boring, look at him choosing pretty much only still alive people" if he had done the 'uniformly random" selection. C'mon!

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