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because generally speaking (oops. i. did it again.) generalizations are a good thing.
but i already know
some fool is gonna take it and say “well then you can’t get mad when i do it!”
except no, actually, and here’s where it gets tricky, so pay attention:
when a generalization is based on a racial/sex- or gender-based/ethnic/what-have-you stereotype, and that generalization is used by a member of an set of people with privilege against an oppressed set of people, it is not only fucked up, it is actually harmful. actual harm can come to an oppressed set of people when this happens.
people get killed based on generalizations and stereotypes in far more numbers in a set of oppressed people than in a set of privileged people. i’d go so far as to say more than 250%
i’m probably off, but i rounded down.
All I think you need to point out is the difference between stereotyping and generalizing. Generalizing is blending together a bunch of data points to estimate or approximate the population they came from. There is literally nothing wrong with doing this, as long as you’re always clear that some points may fall outside the generalization or your knowledge base. Generalizing is really just the process, and you can have “good” and “poor” generalizations.
Stereotyping is an example of poor generalizing. In this, you take a bunch of data points, trim them down to the bare “essentials” so that you’re only left with a few data points (and refusing to ever revisit your findings or include new data after you’ve done so), and then make broad claims and take (likely hurtful) actions against the entire population based on spurious findings.
It’s such a red herring to demand that someone argue from a place of complete individual knowledge of every single person within a population before they can be taken seriously.
Using my statistics knowledge for good, yeah! :D
tossing this up here for even more clarification
the bolded the bolded