3 ms·
Seriously? They didn't control for the year, make and model of the car? https://openpolicing.stanford.edu/data/ https://openpolicing.stanford.edu/data/
by techbio 8y ago
Seriously? They didn't control for the year, make and model of the car?
https://openpolicing.stanford.edu/data/ https://openpolicing.stanford.edu/data/
- mlevental 8y agowhy exactly does that matter? I see a lot people bring things up like this and I always wonder if some feature is perfectly correlated with race, like e.g. car make/model/year, or clothing, or music being listened to during time of stop, what difference does it make? best case the cops are discriminating for the covariates (not something we'd be comfortable with either) and worst case they're using the covariates to discriminate for the confounder. suffice it to say there's no outcome to "controlling" that we would be satisfied with.
- techbio 8y agoNo, it would either strengthen their argument or weaken it. Hiding/ignoring the obviously relevant data, it looks like it would've weakened the point they are making, ie. that its persuasive effect has been engineered. If the effect is as profound and as they say (police pull over brown-skinned people because of their skin color and not something else), be convincing if you are convinced of it. Show the data, not just the subset that most cleanly states what you set out to state before analysis. Maybe it shows that black people usually drive Mazdas or whatever and that those are targeted by law enforcement. Maybe it doesn't. We don't know. They've controlled for daylight. Not traffic offense. Not Mazdas. Why not?