A resemblance is only mimicry if something is deceived by it
EstablishedSpecialists would state this without hedging. Multiple independent lines of evidence agree.
Mimicry describes a three-party system: a model, a mimic that resembles it, and a receiver whose behaviour is altered by the resemblance. Batesian mimics are undefended and resemble defended models; Müllerian co-mimics are all defended and converge on a shared warning signal; aggressive mimics resemble something harmless in order to approach prey or hosts. Resemblance without an affected receiver is convergence, crypsis or coincidence.
- Who this applies to
- documented mimicry systems across animals and plants
- Studied in
- Animalia, Angiospermae
You may have heard
“That insect is mimicking a leaf”
Looking like a leaf in order not to be seen is camouflage, not mimicry — nothing is being fooled into treating it as a leaf and acting accordingly. The distinction sounds pedantic and it is what stops the word covering every resemblance in nature, at which point it stops meaning anything.
Why we rate it this way, and what the caveats are
The categories are supported by predator-choice experiments, comparative morphology and, in several systems, the genetics of the resemblance itself.
How far it can be extended
The three-party structure is definitional; experimental evidence for receiver responses is concentrated in butterflies and a few other groups.
Caveats
- Experimental evidence is concentrated in a small number of well-studied systems.
- Receiver psychology is inferred from experiments with predators that may not be the historical selective agents.
- The categories overlap; many real cases sit between them.
Still unanswered
- How often is imperfect mimicry good enough because the receiver is not looking closely?
Last reviewed 2026-08-10
The evidence (1 study)
Supports · primary
Avoiding Attack: The Evolutionary Ecology of Crypsis, Aposematism, and Mimicry
Ruxton et al., 2018 · Oxford University Press
Definitions, the evidence for each category, and the boundary cases where the categories fail.