Districting is hard because it's very hard to define an obvious set of criteria by which to rate potential districts. We have some basic parameters set for the federal level: break each state into n districts, each containing roughly 700K people, and don't allow the districting to artificially limit the political power of racial minorities. Specifically, it wants to avoid "cracking" (breaking a group's voting power over many districts, so their votes are overwhelmed everywhere) or "packing" (lumping all their voting power into a small number of districts, giving them a few safe seats but still reducing their representation far under what it should be going by population).
The problem is, obviously, that these are very squishy guidelines. So can't we firm them up with some hard mathematical definitions, write up a segmentation algorithm, and let it do its absolutely objective magic? Sure! We just need to define some kind of scoring system to judge how good or bad a potential set of districts for a state is.
Here are some factors I can think of that such a system could use for its scoring:
* District shape -- the eponymous gerrymander was a point of satire because of how strung out it was. Keeping districts reasonably compact is usually a good thing.
* Geography -- we don't want a district that extends across a mountain range or other significant barrier, since the people on either side probably have little contact with each other and don't make sense as a single political unit.
* Road/train networks -- same as above.
* Racial composition
* Cultural composition
* Age composition
* Education level
* Types of economic activity
* Economic ties to other parts of the country/world
* Soil types
* Favorite NFL team
* Literally a billion other possible options
But which of these factors does that is best? In what ratios? I could certainly come up with a solution I like, but it wouldn't be perfect. There isn't a perfect solution to this problem. It's not the kind of problem where "correct" even has a meaning. Given a defined algorithm, math can give you a perfectly objective answer, but it can't choose the algorithm in the first place.
And that's where I find this talk gets really dangerous. It wants to pretend we live in a world with provably perfect solutions to messy human problems. If we just let some smart math/computer types work on it, they can fix everything, and save us from the dreaded specter of politics. But that would just be putting the imprimatur of unquestionable objectivity on yet another arbitrary decision. Governments based on that kind of thinking tend to get all great-leap-forwardy and mass-starvationy.
The real error in this thinking is that it assumes politics is a bad thing. It isn't. Being political isn't a bad thing. Politics just means the process by which we come to a decision when there are conflicting human desires. You have to accept that deciding on something as hopelessly complex as districting is, yes, going to be political. And that's okay!
Personally, my solution would be to set up a framework for an official, national algorithm, running against standardized data provided by the Census Bureau. Let the politicians fight over the definition of the algorithm, let them tweak it as much as they see fit. Just use the same algorithm for the entire nation and make its definition public. Would that process be political? Fuck yeah it would be! But it would be transparent and it wouldn't undermine faith in democracy. That is what is important here.
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