It is the cost side of safety tuning: a model trained to hold firm against harmful requests can also refuse legitimate ones, frustrating users and reducing usefulness. Evaluators measure it alongside harmful-compliance rates, and good designs offer a safe alternative such as a summary or a short excerpt instead of a flat refusal. Viral tests that pit a rule against an absurd emergency illustrate the tension but rarely measure it rigorously.