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 journalArticleAcademicpeer-review

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
DOIs
Publication statusPublished - 31 Oct 2016
Externally publishedYes

Bibliographical note

Funding Information:
The Netherlands Organisation for Scientific Research (NWO VIDI-grant 016.144312) supports the research of Alberto Acerbi. Claudio Tennie would like to thank the Economic and Social Research Council for financial support (ES/K008625/1). We thank three anonymous reviewers and the editor for the useful comments to previous versions of this manuscript.

Publisher Copyright:
© The Author(s) 2016.

Funding

The Netherlands Organisation for Scientific Research (NWO VIDI-grant 016.144312) supports the research of Alberto Acerbi. Claudio Tennie would like to thank the Economic and Social Research Council for financial support (ES/K008625/1). We thank three anonymous reviewers and the editor for the useful comments to previous versions of this manuscript.

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