Abstract
Positive frequency-dependent selection should theoretically lead to monomorphic warning coloration. Instead, numerous examples of polymorphic warning signals exist. Biases – for example, in human perception – hinder our appreciation and research of understanding warning signal diversity. We propose strategies to counter such biases and objectively move our field forward.
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