I can't speak for the tangentially related Stanford study since I haven't read through it yet, but I want to make the
obvious clear here and will re-state that my main issue is the dishonest comparison of two unequal metrics.
> That's not what they did; they only counted speed citations in the study.
Okay so I found the paper and read through it to see if it said something contrary to what the article written by the researchers themselves said and you seem to be incorrect. The study is very clearly just traffic stops in total, not speeding tickets. In fact it's not even that, but a complex model estimating the traffic stop distribution.
Based on the study text, I'm guessing the data they need for this is simply unavailable so this is the best they could do, which I find both surprising and unfortunate. I personally think it would be worth collecting this kind of data precisely so that more robust arguments can be made.
https://www.pnas.org/doi/10.1073/pnas.2402547121
While an unbiased enforcement system is naturally a good thing, I can't help but wonder what strategies the middlemen who build these systems use to get public support. Consider this, what if these systems are built in a predatory manner, positioned at locations where a speed limit change is non-obvious, or at intersections where the timing of yellow lights is reduced below the usual? If a portion of everyone on the road is getting ticketed, then of course it would appear "unbiased". While I can't speak to the nature of these cameras, a misleading studying directly advocating for more of these systems should always raise alarms unless they have good data backing them.
So in summary, not only have you misrepresented my complaint with your strawman: "well black people drive worse" argument, you yourself were dishonest about the contents of the study you clearly did not read.
I don't think I will be replying to any other posts in this thread since this overall discussion has been unproductive and frankly a waste of my time.