The Problem With Blindly Trusting Flock Cameras

Our Take

Melissa Unfiltered's GPS-into-the-lake comparison is a perfect gut-check for how police departments actually use Flock data. A camera flags a plate, an officer treats that flag as probable cause, and suddenly someone's getting boxed in at gunpoint over a misread character or a stolen-plate alert that never got updated. The tech is sold as infallible, but it's still just software making guesses off blurry images and outdated databases — and cops are trained to trust the guess over their own eyes.

This is the core danger of automation bias in policing: once a system spits out a 'hit,' human judgment tends to shut off. We've seen this pattern play out nationwide — wrongful stops, drawn weapons, and terrified families, all because nobody paused to ask if the machine might be wrong. Flock's own marketing leans into that false certainty, and departments rarely disclose error rates or audit how often 'hits' turn out to be nothing.

Check our map to see how many of these cameras are already watching your daily commute, and head to take-action if you want to push back on unchecked ALPR deployment in your city.