Mass shootings and predictive policing: a solid link between mass shootings and predictive policing, as Arvada Colorado records its second event in under one year.
Ahmad Al Aliwi Alissa was the first, and no doubt that he was gang stalked by the police in that area.
And certainly, he wasn’t the last shooter from Arvada, as we see just this week, yet another mass shooting there, and that guy directly targeting Arvada police. I cant imagine why, *chuckling out loud.*
I think a betting pool would be good game at this point–because clearly, a pattern is formalng up in Arvada, CO.
And highlighting the inanity of this form of policing, we see one of that areas Keystone Klowns shooting the actual hero of that event😂, a guy who had DISARMED the shooter. So, Keystone Klowns and predictive policing not only is insane, but now it will cost Arvadas tax payers extra “hero bucks,” because their kops are klowns😫
Arvada, CO is also one of the many cities that uses a gang stalking APP, and has signed on to Amazon’s “Ring doorbell scheme, according to the EFF.
The “Neighbors” APP and Amazon have been implicated as part of the “gang stalking program.”
No surprises there….
One year ago, mathemeticians acknowledged the social harm inherent in “intelligence led predictive policing” and boycotted research on these programs.
From the journal Nature.com:
More than 1,400 researchers have signed a letter calling on the discipline to stop working on predictive-policing algorithms and other models.
The tide of reckoning on systemic racism and police brutality that has been sweeping through institutions — including scientific ones — has reached universities’ normally reclusive mathematics departments. A group of mathematicians in the United States has written a letter calling for their colleagues to stop collaborating with police because of the widely documented disparities in how US law-enforcement agencies treat people of different races and ethnicities. They concentrate their criticism on predictive policing, a maths-based technique aimed at stopping crime before it occurs.