Could Flock Get An Innocent Person Charged?
The short version: A clip from Julian Dorey's podcast spotlights a Colorado case where Flock Safety ALPR data reportedly helped misidentify an innocent woman, leading to a felony charge — a stark reminder of what happens when probable cause gets outsourced to an algorithm.
Our Take
Credit to the Julianfanclipz1 channel for pulling this clip from Julian Dorey's podcast and putting a human face on what we keep warning about: ALPR "hits" are not proof, they're leads — and when cops treat a database match as case-closed, innocent people pay the price. If the details here hold up, a Colorado woman was reportedly saddled with a felony charge because a license plate reader pointed detectives toward the wrong vehicle. That's not a hypothetical slippery-slope argument anymore. That's the slope.
This is exactly the failure mode privacy advocates have been flagging since Flock Safety cameras started multiplying on street corners nationwide: the technology generates a lot of data points and a false sense of certainty, but very little accountability when it gets things wrong. Partial plate matches, similar makes and colors, and bad algorithmic confidence scores are a recipe for wrongful stops, wrongful arrests, and in this case, allegedly a wrongful felony charge. The burden of proving you're not a suspect shouldn't fall on someone whose only "crime" was driving a car that looked like another car to a machine.
Cases like this are why we keep pushing people to find out whether these cameras are watching their own streets and to push back where they are. Check our map to see what's been deployed near you, and if you want to do something about it, our take action page has the tools to start pushing your local council for answers.
This is DeFlock The USA’s original commentary. The video above is the work of Julianfanclipz1, published on YouTube — full credit to the creator.