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Sometimes, one data point is all that people have the patience to know about you.

There's a joke this reminds me of. Something about an old man at a bar ruminating, "a man can spend his life building bridges. Do they call him John the Bridge Builder? No. A man can spend his life raising crops. Do they call him John the Farmer? No. But you fuck one goat . . ."

On second thought, I'm not sure exactly how well that joke supports my point, but it's worth a thought.




Sure, but that's because, in today's society, fucking one goat is virtually unknown—not because it doesn't happen, but because it goes unmentioned. The first John-the-goat-fucker to be caught by the panopticon might be arrested, but the 9128th? Probably not. When we look at the population curves we'd build from this data and extrapolate that, throughout history, John himself was likely the 340-thousandth or so in his series, we might even let him out, too.

Another thing to keep in mind is that when all information is public to the finest of grains, causality is quite easy to infer. This dataset would be any psychiatrist's dream; it's a perfect, objective record of everything that happened to a person, to contrast against their subjective interpretations of events, and infer the causalities of their influences. When Clippy pops up to some poor sod in 2048 saying "by my interpretation of your recent actions, it looks like you may soon develop an urge to fuck a goat! It'd probably be a good idea to talk to a therapist, even if you don't feel like you need to," I'm guessing truly unethical behavior will take a nosedive. Anyone who's comfortable with everyone else knowing they feel that way about a goat, however, will likely be free to go ahead—since every action will be an intrinsic, quite-visible scarlet letter, there will be no need for any external punishment mechanism.

(This is assuming, of course, that we get global immigration policies worked out by then, so that people born in an environment that don't agree with its mores, no matter where that may be, can leave for a place which does.)




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