Protective resemblance is most reliable when defended models are more numerous than mimics and predators have learned that the model's signal predicts an unpleasant outcome. Repeated encounters with models reinforce avoidance, while attacks on abundant edible mimics provide contradictory experience and erode the association. This frequency-dependent principle is particularly clear in Batesian systems, though predator learning also helps maintain shared warning signals more broadly. Mere visual similarity is insufficient if receivers ignore it, and resource overlap does not define mimicry. A mo
Ref:
Evolutionary Analysis, Herron & Freeman, 5th Ed., Ch. 10