The Oumi analysis exposes a category error in how accuracy is conventionally reported for AI search features. Ninety-one percent correct sounds like a high standard; applied to , it becomes an argument for the severity of the problem rather than its manageability. The wrong answers do not distribute randomly across low-stakes queries — they appear with identical confidence and identical placement to the correct ones, giving users no signal to distinguish them. Google's design treats accuracy as a product metric;…