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by beowulfey 1357 days ago
This is a good example, and I appreciate you trying to explain it further. But I think we are a bit like two ships passing in the night here. As I interpret it, you are trying to explain the effect of affirmative action on the likelihood that someone from a particular background is more likely to be skilled or not. I totally understand that this is an effect of AA, and that neither of us are arguing about the merits of AA.

However, the point that I am trying to make is that we, as a society, should be trying to ignore these obvious statistical likelihoods when we are choosing a candidate. Those statistical likelihoods have nothing to do with the candidate themselves. If we make these kinds of interpretations, we are no longer judging a candidate based on who they are, but rather who we think they might be. And who am I to make that judgement? I'm nobody special. That's all I'm trying to say, really.

EDIT Someone else in the thread brought up the idea of why there is AA for school, but not for the workplace as in my argument. It's kind of a different topic, but I think it's a good counterargument about the complexity of this. I don't really have a good answer, to be honest, but it will be on my mind for awhile now.

2 comments

> However, the point that I am trying to make is that we, as a society, should be trying to ignore these obvious statistical likelihoods when we are choosing a candidate. Those statistical likelihoods have nothing to do with the candidate themselves. If we make these kinds of interpretations, we are no longer judging a candidate based on who they are, but rather who we think they might be. And who am I to make that judgement? I'm nobody special. That's all I'm trying to say, really.

Ah, ok I see. I didn't understand your point then. I think we at least kind of agree on that point. What I was trying to say is that, I don't think that it's accurate to characterize the resume study as proving racism or racial discrimination, given the bias induced by AA. At least, providing they are not going further than correcting for that bias.

I do agree with you that in an ideal world, people would try to avoid factoring that in. But, it is important to keep in mind I think that hiring decisions are often extremely consequential for the people that make them (in a way that university admissions are not), and as a consequence, asking the decision makers there to intentionally ignore pertinent information is almost always going to be a losing proposition.

I think, even if people are correcting a bit for this bias in the hiring pipeline, AA is still providing considerable value to historically disadvantaged candidates, by helping them get access to alumni networks, and presumably a higher quality education and hopefully that will be sufficient to close the remaining skill gaps over time.

> However, the point that I am trying to make is that we, as a society, should be trying to ignore these obvious statistical likelihoods when we are choosing a candidate.

The truth is one. If you lie to other people and demand they lie to you it affects your entire model of the world. If there are facts about the world that you would prefer not to acknowledge they are linked to other facts. Lying consistently requires enormous effort.