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Terunobu Fujimori’s poesy rollership.tumblr.com/post/627666452…
Terunobu Fujimori’s poesy rollership.tumblr.com/post/627666452…
Terunobu Fujimori’s poesy rollership.tumblr.com/post/627666452…
Terunobu Fujimori’s poesy rollership.tumblr.com/post/627666452…
Terunobu Fujimori’s poesy rollership.tumblr.com/post/627666452…
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Cory Doctorow #BLM
@doctorow
Evolutionary psychology is beloved of a certain kind of "rationalist" who loves a good just-so story that casts some system that advantages him as biologically inevitable, as in, "Honey, the only reason I'm screwing my undergrads is because of bonobos."

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There's a tried-and-true formula for evo-psych storytelling: first, find an animal that acts in a certain way. Next, make up a story explaining that behavior. Finally, project that behavior on proto-hominids whose social lives are totally unknown and unknowable.

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Put a bow on it by explaining that these animals show that these protohominids did whatever it is people are angry at you about, and then declare that your DNA requires you to do that.

3/
Read 21 tweets
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Cory Doctorow #BLM
@doctorow
The copyright scholar James Boyle (@thepublicdomain) has a transformative way to think about political change. He tells a story about how the word "ecology" welded together a bunch of disparate issues into a movement.

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Prior to "ecology," there were people who cared about owls, or air pollution, or acid rain, or whales, and while none of these people thought the others were misguided, they also didn't see them as being as part of the same cause.

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Whales aren't anything like owls and acid rain isn't anything like ozone depletion. But the rise of the term "ecology," turned issues into a movement. Instead of being 1,000 causes, it was a single movement with 1,000 on-ramps.

3/
Read 44 tweets
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Cory Doctorow #BLM
@doctorow
For those of us who use work to cope with stress and anxiety with work, the plague months have been an oddly productive time.

For data scientist @eprosenthal, it was an opportunity to optimize his banana-sandwich process.

ethanrosenthal.com/2020/08/25/opt…

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Rosenthal's ideal peanut-butter and banana sandwich is calibrated to have precisely the same amount of banana in every mouthful.

Naturally, Rosenthal eschews obviously incorrect solutions to this like mashing the banana or cutting it into lengthwise, rectangular slices.

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Rosenthal wants to figure out how to cut banana cross-sections and then arrange them such that they cover as much of the bread-slice as possible without overlapping ("maximizing the packing fraction"). And he used machine learning to do it.

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Read 12 tweets

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