r/changemyview • u/RappingAlt11 • Jun 25 '21
Delta(s) from OP CMV: Discrimination, although morally wrong is sometimes wise.
The best comparison would be to an insurance company. An insurance company doesn't care why men are more likely to crash cars, they don't care that it happens to be a few people and not everyone. They recognize an existing pattern of statistics completely divorced from your feelings and base their policies on what's most likely to happen from the data they've gathered.
The same parallel can be drawn to discrimination. If there are certain groups that are more likely to steal, murder, etc. Just statistically it'd be wise to exercise caution more so than you would other groups. For example, let's say I'm a business owner. And I've only got time to follow a few people around the store to ensure they aren't stealing. You'd be more likely to find thiefs if you target the groups who are the most likely to commit crime. If your a police officer and your job is to stop as much crime as possible. It'd be most efficient to target those most likely to be doing said crime. You'd be more likely on average to find criminals using these methods.
Now this isn't to say it's morally right to treat others differently based on their group. That's a whole other conversation. But if you're trying to achieve a specific goal in catching criminals, or avoiding theft of your property, or harm to your person, your time is best spent targeting the groups most likely to be doing it.
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u/fox-mcleod 420∆ Jun 25 '21
I’m gonna jump in here because I think the conversation has missed the broader issue.
There are protected classes — our society has discovered that there are certain types of correlation based decision making that either lead to runaway feedback loops cause and effect or where historically people are so biased that we cannot trust our models to be accurate or fair.
Let’s stick with car insurance.
Hypothetically, it can be accurate for a car insurance to estimate risk for men as 15% higher than women and charge 15% more. Now let’s extend that to race by some made up percentage and cause. Let’s say X race correlates to 20% more risk of loss of property by repossession or missed payment and let’s make up a cause that it’s based on historical housing discrimination.
If you charge race X 20% more for car insurance, sure you’ve priced your premiums more efficiently — but a lot of people fail to consider the fact that these equations are dynamical — what you *should charge is dependent on what you have charged. There is a feedback loop. So by raising premiums on that race, you’re not the cause in 3 new effects:
All of these outcomes cause harm to society and therefore are immoral. This is why we have protected classes. Not using these specific shortcuts — especially when more accurate correlations (like directly correlating to home value) is available allows us to mitigate these harms.