Using Baysian type on data is very damaging on society, for those with strong maths:
We'll move from causality( we noticed you are stocking up on baking powder, lets chat) to inference (according to our data there is 85% chance you are not compliant - w/o a cause).
One outcome: The populace will be demotivated to do anything, just to be safe.
It forces people to worry about fitting the profile of someone who would be more likely than others to do something wrong. Maybe because you live in a certain neighborhood, or recently started biking to work, or have parents who are migrants from Eastern Europe, that thing moves the needle from a 4% chance to a 5% mean chance of committing a list of crimes and triggers police interest.
Not doing anything wrong ceases to be good enough.
Maybe they could index the civil liberties in neighborhoods or states by an index like that. Move them from stop-and-frisk through no-knock and so on to martial law.
We'll move from causality( we noticed you are stocking up on baking powder, lets chat) to inference (according to our data there is 85% chance you are not compliant - w/o a cause).
One outcome: The populace will be demotivated to do anything, just to be safe.