Futurism90%

LAPD Abandons Flock Contract After Making a Horrifying Discovery 56%

By Joe Wilkins89%

7/13/2026, 8:48:00 PM

BS Summary: This article contains 4 faulty reasoning types, including Biased Writer Voice, Negativity Bias, and Appeal to Emotion, with Politically Left Leaning Bias as the most egregious example at 17.8% saturation with 111 hits. Analysis detected 291 faulty-reasoning hits from 622 analyzed words, generating a BS Score of 54.1% and a BS Rank of 56% (6,830 of 15,282 articles). This article is worse (more manipulative) than 55.30% of the article peer group.

Rarely has the Los Angeles Police Department found a police toy it doesn’t love. 
The third-largest police force in the US has major Palantir contracts in place, uses sketchy apps to track minority communities, and routinely sends drones to spy on peaceful protestors . 
So when the LAPD ends a contract with a surveillance company because it thinks the technology is too dangerous, you know there’s a problem. 
Over the weekend, the police department announced it was abandoning its contract with Flock Safety, the controversial company blanketing the United States in AI-integrated license plate cameras (ALPRs). 
Though its three-year contract with Flock is just about up, the LAPD says it won’t renew the partnership, citing residents’ concerns over privacy and civil rights, ABC reported . 
“This contract is not being renewed because of serious concerns around civil liberties and civil rights issues, particularly around privacy and the data that is being collected from these cameras,” LAPD’s chief information officer Dean Gialamas told ABC in a statement. 
“The LAPD had to make a difficult decision, in this case discontinuing using Flock services until we can get those data, privacy, security and sharing concerns ironed out through a contractual relationship.” 
The news comes just days after our sister publication The Drive ‘s Joel Feder reported how he was suddenly swarmed by armed cops while test driving a Range Rover with his wife in Minnesota. 
Officers said they had been tracking him for days using Flock’s AI-integrated cameras, which had erroneously tagged his car as stolen. 
After the latest Flock contract news broke, 404 Media revealed that a July 10 audit by the LAPD Office of the Inspector General caught the department’s ALPR cameras generating 161 false stolen-vehicle alerts in just two months  each one ending with officers pulling over an innocent driver. 
Factoring in 337 alerts which “resulted in the recovery of stolen vehicles,” the LAPD’s cameras carry an error rate of 32.3 percent, effectively giving officers a one-in-three chance at pulling an innocent person over. 
“During the review period, officers acknowledged 161 alerts as accurate license plate matches; however, subsequent investigations determined the vehicles were not stolen,” the report reads. 
“In addition to creating an inconvenience for vehicle owners, these inaccuracies can affect individual liberty interests, erode public trust, and potentially create substantial legal and financial liability concerns.” 
The OIG report notes that officers are required to “attempt to verify all records prior to conducting an investigative stop,” though it didn’t disclose how many of the 161 wrongful stops were the result of an officer’s failure to do so. 
Instead, investigators blamed license plate records it says were “not updated in a timely manner,” which “may” lead cops to “act on inaccurate or outdated information, increasing the risk of unnecessary enforcement actions, including vehicle stops and wrongful detentions, or a confrontation with serious consequences.” 
As 404 flagged, the LAPD approaches potentially stolen vehicles as “high-risk” stops. 
For the LAPD, these stops require drastic shows of force, including “calling for back up, air support, and a supervisor and ordering the suspect out of their vehicle,” the report reads. 
It doesn’t take a large language model to figure out that this is an incredibly dangerous scenario for Black people in Los Angeles, who account for 19.5 percent of those killed by the LAPD , despite making up only nine percent of the city’s population. 
Whatever way you slice it, it seems one of the most notorious police departments in the US has finally met its match. 
More on surveillance: Flock Cameras Screw Up, Swarm Innocent Man With Armed Police 
The post LAPD Abandons Flock Contract After Making a Horrifying Discovery appeared first on Futurism . 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
0%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
10.6%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
3.9%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
14.5%
Indoctrination
0%
Politically Left Leaning Bias
17.8%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

622 words analyzed.

Speakers

2speakers20%attributed speech496writer words
Voice mapSelect a segment to jump to its words
Selected voice

Dean Gialamas

0%flagged-word coverage
73 attributed words58% of attributed speech27% writer coverage
Politically Left Leaning Bias-22.4 pts
Writer 22%Dean Gialamas 0%
Biased Writer Voice-18.1 pts
Writer 18%Dean Gialamas 0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.