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357 points pyduan | 1 comments | | HN request time: 0.323s | source
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aetherson ◴[] No.8719517[source]
I enjoyed playing with the graphs and everything, but I question whether this model has much relevance to the real world. Is there a strong reason to believe that these effects would survive a model of "I want to move" that is not solely based on "too many people unlike me live near by" and/or "not enough people unlike me live near by"? Indeed, is there a strong reason to believe that a binary modality of "I'm happy/unhappy," (the post gestures in the direction of a third mode, "I'm neither happy nor unhappy," but in fact in their simulations that third mode is indistinguishable from "happy") is a good abstraction of people's moving decisions?

The data paper they posted a link to suggests that there is unlikely to be an equilibrium, contra the message of this post.

It seems like it's more an explanation of a mathematical model and a prescriptive political position, rather than a description of anything real in society.

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anigbrowl ◴[] No.8719717[source]
Certainly it's a model but you can work up to more complex models. Check out NetLOGO, which comes with a huge library of simulations and a fairly friendly IDE for creating your own agent-based simulations.
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aetherson ◴[] No.8720124[source]
I think that as it's presented, the authors are suggesting that it's a model that is necessary and on some level sufficient to understand the dynamics of self-segregation in housing.

They subtitle the post "This is a story of how harmless choices can make a harmful world." Reading it, I get the powerful impression that the authors think that this model has the basic answers for all self-segregation in housing.

But obviously an even slightly more complicated model undermines many of their points. Like, they make a big deal of the idea that if you have a fairly high level of "shapism" and thus get a fairly segregated society, and then you lower the level of "shapsim," nothing changes unless you actively reverse your bias and move if your neighborhood is not diverse enough.

But clearly people don't only ever move for diversity reasons. Sometimes you move because you got a job or a SO that's far away. Sometimes you move because you can afford more or less living space. Sometimes you move because you have a child now and want to get into a good school zone. Or whatever. And if your preferences are now, compared to when you last moved, more tolerant, that WILL reduce the level of segregation of your society.

In fact, people probably move for economic or family reasons far MORE often than they move for diversity reasons.

I mean, that's not a small difference from their model. It's one of their major points! That, once segregated, societies won't become less segregated unless people actively work on it.

And, honestly, I don't think that the model holds at all unless you understand that people probably mostly use economic proxies for race over primarily making decisions based on race. For the most part, I don't think people are saying, "I don't want to move there, there's too many black people." They're saying, "I don't want to move there, it's too poor or too crime-ridden" or whatever. And yes, they may be exaggerating the extent to which it is poor or crime-ridden because they have internalized racist ideas about whether majority-black neighborhoods are poor or crime-ridden. But the point is, you can't really address this segregation by telling people to prefer mixed neighborhoods: you need to address the complex relationships of economics and race and how economic class affects neighborhoods and whatever.

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1. anigbrowl ◴[] No.8720733[source]
But they're not saying that people only move for diversity reasons. They're saying that one simple metric at a fairly low level could nevertheless give you drastic results, which is a counter-intuitive conclusion - most people expect output factors to be proportional to input factors.

Don't get hung up on the explanatory power of the model for real conditions - for the same reason you would not get hung up on the simplistic assumptions of most economic models, which often involve two variables and all other factors being held equal ('ceteris paribus'). People sometimes dismiss all economics because micro starts out from these extremely simple foundations rather than being fully reflective of the real world, but that's a bit like dismissing math because arithmetic is so basic.