Flock Compares Itself to Facebook (Public Report)Javascript is disabled. Enable javascript to view IPVM.<br>Contact us at info@ipvm.com for help.

Flock Compares Itself to Facebook<br>IT

IPVM Team<br>•Published Jun 17, 2026 17:01 PM

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When a company defends its data practices by invoking a platform defined by a decade of documented privacy scandals, the comparison invites more scrutiny than it deflects.

Flock Chief Legal Officer Dan Haley compared the company's data-sharing model directly to Facebook's friend-request system.

It's very much like social media, it's the law enforcement agency, whether it's federal or local, you know, the next, the town next door, literally through the system issues a sharing request. Will you share your data with me, Town B? And Town B either accepts that I'm your friend. Or like Facebook or rejects it. I'm not your friend, I don't know you, I'm not going to share my information with you. And it is truly as simple as that. And it is absolutely controlled by the user, the community using Flock. — Seattle 770 AM

Haley offered the comparison while responding to the host's questions about warrantless access and immigration enforcement, as part of his broader claim that municipalities control their data. The parallel is strong. It just runs in the opposite direction.

Both Platforms Have Real Value

Facebook connected people across distances in ways that were not previously possible: reuniting old friends, organizing communities, maintaining relationships across borders. Flock has helped recover stolen vehicles, locate missing children, and solve serious crimes. Both platforms produce value.

The harder question is what both platforms cost. Each derives its power from aggregating data at massive scale, and each is focused on aggregation, expanding the network first, weighing the harms later, and restricting only under intense public and legal pressure.

Users Are the Product, Except Flock's Never Signed Up

Facebook's famous critique: if the product is free, you are the product. At Facebook, users sign up, agree to terms of service, and receive something in return: a social network, messaging, photos. The people whose plates Flock scans never sign up, never agree to be part of Flock's private network, and have no ability to opt out. In most cases, they have no idea they are being scanned. That is changing as the controversy around Flock has grown, but awareness is not the same as consent.

Flock and its supporters argue that license plates are visible in public space, where courts have held there is no reasonable expectation of privacy, and that the comparison to Facebook's handling of personal data therefore does not hold. Haley himself has acknowledged the limits of that position: he admitted on a podcast that a warrant requirement is coming: "That day in the future is out there." A single plate on a public road may carry no privacy expectation. A cross-jurisdictional database of billions of reads is a different matter, and Flock's own CLO has said so.

Twenty billion plate reads per month flow through Flock's network, per Flock. Facebook's users are the product. The public is the raw material for Flock's immensely profitable private business.

The Architecture of Expansion

Zuckerberg described users who submitted their data: "They 'trust me.' Dumb fucks," in a 2004 instant message. That attitude toward users shaped how Facebook built its platform: sharing as the default, privacy as the obstacle. Flock's network architecture shows the same design philosophy.

Sharing requests from neighboring agencies arrive before a contract is even signed. New agencies receive a default email: "Great news, your network is growing!" Administrators can configure automatic sharing within a 50–500-mile radius. The system is designed to sweep "all of those new organizations we're bringing into the Flock Safety system" through bulk monthly sharing.

The results are documented. One city was on Flock's national network for "well over a year" without knowing it. A second city discovered 250-plus agencies had conducted roughly 600,000 unauthorized searches through a feature active without the city's knowledge. A third had its system searched more than 13,000 times by outside agencies due to "misconfiguration."

Flock constructs conditions in which expansion is the path of least resistance, then credits the result to local choice. Haley's assurance that data is "absolutely controlled by the user, the community using Flock" runs directly into this documented record.

Network Effects Are the Business Model

Facebook and Flock share the same underlying business logic: the more participants in the network, the more valuable their business becomes, and the stronger the competitive position against rivals. Both companies have publicly framed network growth as a byproduct of user or customer choice. The financial reality runs the other...