| One issue with affirmative action which rarely gets addressed: What is the definition of a certain race anyway? If someone is from two black parents, fine, they're black. But what if one parent was black and one was white, are they black? Are their children black? What about their children's children? Are we going to spin out genetic testing, color cards, or start looking at people's family tree to decide eligibility? Honestly I think the US has the right idea, but has the wrong implementation. People who are from disadvantaged households SHOULD be given a leg up. They don't get the expensive tutors, and their parents might have to work longer hours, they cannot afford that trip to Europe the rich kid wrote their essay about, and their home life could be a lot more disruptive. And the nice "perk" of discriminating based on household income and or poverty is: A lot of minorities will benefit because they're already in that group. It also solves another issue we're seeing: Second generation kids of minorities whose parents are college educated and or professionals. The affirmative action program is designed to give kids with a disadvantage a more fair shake, but it is being used by minority kids who are by all definitions from middle class or from affluent households even more of an advantage, which is stealing spots from poor minority kids that actually need it! So I would like to see affirmative action based on race scrapped. Base it on income. It will still largely benefit minority applicants, but we won't have to answer awkward questions like "how white is too white to be a minority?" |
I worked for an Auto Insurance Broker in a former life and they had a state come down on them pretty hard for discriminating against minorities. At the time it was pretty common to jack up the rate factors on particular minorities for a pretty legitimate business reason.
Instead of using race as a rate factor they switched over to a combination of zip code, income, and vehicle age which encompassed pretty much the same demographic but actually ended up improving their overall loss ratio.
I would hope risk analysis has evolved since those days but if not there's a huge opportunity for any aspiring data scientists out there who wish to become actuarials.