Conformity cannot be identified based on population-level signatures

Alberto Acerbi*, Edwin J C Van Leeuwen, Daniel B M Haun, Claudio Tennie

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
128 Downloads (Pure)

Abstract

Conformist transmission, defined as a disproportionate likelihood to copy the majority, is considered a potent mechanism underlying the emergence and stabilization of cultural diversity. However, ambiguity within and across disciplines remains as to how to identify conformist transmission empirically. In most studies, a population level outcome has been taken as the benchmark to evidence conformist transmission: a sigmoidal relation between individuals' probability to copy the majority and the proportional majority size. Using an individual-based model, we show that, under ecologically plausible conditions, this sigmoidal relation can also be detected without equipping individuals with a conformist bias. Situations in which individuals copy randomly from a fixed subset of demonstrators in the population, or in which they have a preference for one of the possible variants, yield similar sigmoidal patterns as a conformist bias would. Our findings warrant a revisiting of studies that base their conformist transmission conclusions solely on the sigmoidal curve. More generally, our results indicate that population level outcomes interpreted as conformist transmission could potentially be explained by other individual-level strategies, and that more empirical support is needed to prove the existence of an individual-level conformist bias in human and other animals.

Original languageEnglish
Article number36068
JournalScientific Reports
Volume6
Early online date31 Oct 2016
DOIs
Publication statusE-pub ahead of print - 31 Oct 2016

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Conformity cannot be identified based on population-level signatures'. Together they form a unique fingerprint.

Cite this