Let's imagine that being black was actually what caused black people to commit more crimes and this was scientifically proven, how does this make it less bad to discriminate against some black guy who may or may not be a criminal?
From a business perspective, correlation is a good measure and making decisions based on it is perfectly fine (if the correlation is real).
From a moral perspective, it is not OK to discriminate based on correlation or causation.
The distinction between correlation and causation matters when you are attempting to affect the outcome. For example you can't cure someone's sickle cell anemia by painting them white.
Let's say you accept the answer you've received based on your heuristic that black people will statistically commit more crimes.
If a policy was based upon this heuristic, then you would have people living in poverty that would not be subject to the same policy. This is what discrimination is about. Citizens would thus not have the same rights / opportunity.
And the only reason you are accepting this heuristic as "good enough", is because you make the assumption that "you have modelled [enough of] the variables that make up the solution space".
This is not acceptable for policy makers and should be watched for closely in a democracy.
> and this was scientifically proven
which renders moot any discussion as you simply did not use the same assumptions. The discussion was about specialist decision systems using correlation as a heuristic for causation. You cannot explore the merit (or shortfalls) of this common practice and its possible effect on policy-making when positing that causation has been proven. This is nonsense.
Have a good day.
And the discussion was NOT about systems using correlation as a heuristic for causation. If a company filters users based on something, only correlation matters for their purposes. Believing correlation is only useful as a heuristic for causation is ignorant. For some purposes, correlation matters. For some purposes, the root cause matters. Not everything is the same.