discussion on HackerNews about census 2020
I'm in favor of removing the race question from the census. It proliferates collectivist thinking (my people/kin vs others, based on bloodlines or appearance) over individualism. It is also used as a justification for implementing discriminatory policies, ironically in the name of fighting discrimination. - cherrycherry98
and other replies:
The census exists to inform policy. If there is discrimination based on race, then we're better off measuring it so we can address it than burying our heads in the sand. Of course, this may lead to targeted policies, just as insulin is applied to people with a diabetes diagnosis, and not to the general population. - karpierz
The comparison to diabetes has one major flaw. You either have or don't have diabetes and the fact that you are tested for it does not change your diabetes status. You can only measure it, but your measurement won't alter the situation. But by constantly reminding people of their racial category, a feedback loop is created. The more are people defined by their race, the more important will they consider their racial category. They will also start viewing more interactions through the race angle, especially the negative ones. Not "the policeman was rude because he is an asshole", but "the policeman was rude because I am of a different race from him".
I cannot imagine a scenario where constant race consciousness leads to people being less concerned about anything that can be construed as racially charged. - inglor_cz
As pointed out elsewhere in the comments on this thread, the census may have accidentally ended up enforcing white hegemony in America. See the anecdotes of people suppressing the reporting of partial indigenous or African heritage in order to pass as white. The data made America look far more white than it ever was. And despite the recent trend I doubt the effect has vanished. Are we so sure we want to be using that data for policy? - retrac
Anyway, colorblindness is inherently a pro status quo approach
If the data is bad then improve data collection - Trung Tran