Reverse engineering cash: Coin designs mark out high value differentials and coin sizes track values logarithmically.

Currency Design Magnitudes Money Numerosity Value

Journal

Cognition
ISSN: 1873-7838
Titre abrégé: Cognition
Pays: Netherlands
ID NLM: 0367541

Informations de publication

Date de publication:
05 2020
Historique:
received: 24 06 2019
revised: 07 12 2019
accepted: 02 01 2020
pubmed: 6 2 2020
medline: 24 6 2021
entrez: 5 2 2020
Statut: ppublish

Résumé

Coins are physical representations of monetary values. Like mental or verbal representations of quantities, coins encode sums of money in formats shaped, in part, by cognitive and communicative needs. Studying the coins circulating today, we consider how their design, colour, and size reflect their value. We show that coin designs solve a trade-off between informativeness-the pressure to highlight distinct denominations-and simplicity-the pressure to limit the number of designs that coin users must memorise. Coinage worldwide is more likely to display distinctive graphic designs and distinct colours on pairs of coins with large differences in value, thus minimising the aggregate cost of mistaking one coin for another. Coin size differentials, in contrast, do not seem to indicate greater value differentials, although absolute coin sizes do reflect monetary values. Log-transformed values predict design and colour distinctiveness in coin pairs, as well as absolute coin sizes, better than raw values, consistent with research suggesting that monetary quantities may recruit the "numerosity system" for magnitude representations, thought to track quantities logarithmically. These results show that coins obey similar informational constraints as linguistic and mental representations.

Identifiants

pubmed: 32014713
pii: S0010-0277(20)30001-9
doi: 10.1016/j.cognition.2020.104182
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104182

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Barbara Pavlek (B)

Max Planck Institute for the Science of Human History, 10, Kahlaische Strasse, 07745 Jena, Germany. Electronic address: pavlek@shh.mpg.de.

James Winters (J)

Max Planck Institute for the Science of Human History, 10, Kahlaische Strasse, 07745 Jena, Germany. Electronic address: winters@shh.mpg.de.

Olivier Morin (O)

Max Planck Institute for the Science of Human History, 10, Kahlaische Strasse, 07745 Jena, Germany; Institut Jean Nicod, ENS, EHESS, PSL University, CNRS, Paris, France. Electronic address: morin@shh.mpg.de.

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