Thomas Schelling, 1971, Journal of Mathematical Sociology
Even with only a mild preference for neighbors that are like them, the whole town ends up divided.
There is no simple correspondence of individual incentive to emergent collective results.
ncase.me/polygons · 2014 · public domain
These little cuties are 50% Triangles, 50% Squares, and 100% slightly shapist. But only slightly! In fact, every polygon prefers being in a diverse crowd:
You can only move them if they're unhappy with their immediate neighborhood. Once they're OK where they are, you can't move them until they're unhappy with their neighbors again. They've got one, simple rule:
Harmless, right? Every polygon would be happy with a mixed neighborhood. Surely their small bias can't affect the larger shape society that much? Well...
(just move them to random empty spots. don't think too much about it.)
Sometimes a neighborhood just becomes square, and it's not their fault if no triangles wanna stick around. And a triangular neighborhood would welcome a square, but they can't help it if squares ain't interested.
In this next bit, unhappy shapes automatically move to random empty spots. There's also a graph that tracks how much segregation there is over time.
These are good shapes, nice shapes. And yet, though every individual only has a slight bias, the entire shape society cracks and splits.
Equality is an unstable equilibrium. The smallest of bias can push a whole society past the tipping point. Well, what if we taught these shapes to have zero bias? (Or if you're feeling particularly nasty today, more bias?)
Notice how much more segregated things become, when you increase the bias beyond 33%.
Seems reasonable for a shape to prefer not being in the minority...
So yeah, just turn everyone's bias down to zero, right? Haha, NOPE. The real world doesn't start anew with a random shuffling of citizens every day. Everyday, you're not shuffling.
No change. No mixing back together. In a world where bias ever existed, being unbiased isn't enough! We're gonna need active measures. What if shapes wanted to seek out just a lil' more variety?
Woah. Even though each polygon would be okay with having up to 90% of their neighbors that are like them, they all mix together! Let's see this play out on a larger scale, when we change the amount of bias and anti-bias for all shapes.