“Our work suggests that a lot of what we view as gerrymandering may instead result from the complexity of the task. It’s beyond human abilities to perfectly group millions of people into fair districts”https://www.seeker.com/tech/an-unbiased-algorithm-could-help-put-an-end-to-partisan-gerrymandering?utm_content=An+Unbiased+Algorithm+Could+Help+Put+an+End+to+Partisan+Gerrymandering&utm_source=twitter&utm_medium=social-media …
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Key insight: it would not be accidental
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Just as in many states, e.g. Texas they've gone way past their cognitive limits and made it even worse
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I agree it would be great if we could do that. I just don't see how we'll get over the intense partisanship in the US
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Yeah, I know. But every little helps I suppose.

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Not all ideas have to be totally realistic to still be important and worth publicizing. Nice work!
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Anything to shift that Overton window, I guess.

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But — to be fair to
@ProfData and I and the preprint, we're saying that gerrymandering/non-optimal districting is inevitable if done by humans. Ergo it should be done by machines. They make the maps. Then the debate is about which algorithmic criteria the machines should use. -
The crux of our point, that humans are inherently unable to draw maps even if they intend to make unbiased districts is not inherently unrealistic given Mexico does use computational redistricting and does debate the maps the machines create and then selects which to make real.
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Certainly, I fully agree on that. But the article focuses on the algorithm and neglects the issue of implementation and trust in it, hence my question.
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I'll try and answer your original question again. I think there are precedents just not ones with open source code that I know of. If you're interested I would direct you to read more on what others have written about Mexico, here: http://openscholar.mit.edu/sites/default/files/dept/files/825-1508-1-pb_en.pdf …
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Also to be clear — for the US, I think "Today it's more like 1) public trusts experts, 2) experts use algorithms/computers." is not true.
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Unless you want to play with the meaning of "trust", of course.
End of conversation
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