48 ms·

All I want to predict is time periods/locations which are vulnerable. Nothing more than that.

• jjoonathan 9y ago
  Racism is morally wrong but not mathematically wrong. P(criminal|black) > P(criminal), but if you observe that someone has black skin and treat them poorly because of it, you've done a bad thing. It doesn't matter that you were just following Bayesian reasoning because you're still hurting someone on the basis of something they can't control. Lady Justice doesn't wear a blindfold as a fashion accessory. Discarding information is a key factor in nearly every established system of justice / morality. Refusing to do so (i.e. "just" running a ML algorithm) places you directly at odds with society's hard-earned best practices.
  • platz 9y ago
    > Lady Justice doesn't wear a blindfold as a fashion accessory I never noticed that before. Thanks for pointing this out!
• myaso 9y ago
  Take a look at crimereports.com. You might get lucky and find a good source on a per city or county basis, it's too fragmented overall too try this. Different countries might have different documentation standards and publishing guidelines for this kinda of data, might be worth a shot to look.
• platz 9y ago
  > All I want to predict is time periods/locations which are vulnerable. Ok, and to what end? I assume someone else will be consuming these predictions, else you wouldn't bother at all. What are your customers/users going to do with these predictions? Or is that simply not your responsibility; someone else's problem?