> remove bias from data, not introduce it The problem is in finding the bias, since it's a quantity inferred ex post by checking the discrepancy between realit

> remove bias from data, not introduce it The problem is in finding the bias, since it's a quantity inferred ex post by checking the discrepancy between reality and expectations. And since we have come to ideologically reject the very idea that there might be reasons for the discrepancy, then it must be all up to bias. Which I personally think it's stupid and counterproductive, since when you have actual reasons you can act upon them to improve the situation, while "bias" is only useful to play a power game in which anyone who disagrees with you can be called racist and forced to repent and apologize for his/ her "bias".