Intrinsic whole number bias in an indigenous population

Santiago Alonso-Díaz, Jessica F. Cantlon, Steven T. Piantadosi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Probabilities can be described by a numerator and a denominator and students and decision-makers are not indifferent to numerical values of the components. For instance, when people compare two equal ratios their choices gravitate to the option with larger number, even if they know both ratios are equal. To the date, however, it is unclear if whole number biases are present in other cultures. We tested a farming-foraging group living in the Bolivian rain forest in a simple 2AFC ratio comparison task. After appropriate training, the Tsimane were highly accurate in this task, confirming that visual proportional reasoning is present across cultures. Importantly, they had a strong tendency to favor large numbers in equal ratio comparisons, similar to what is found in educated populations. Even though our sample size is moderate (n=76), the whole number bias we found occurred under good proportional reasoning. The bias may be a general feature of cognition, rather than a cultural or education artifact, that may help humans solve ambiguous situations.

Original languageEnglish
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages1336-1341
Number of pages6
ISBN (Electronic)0991196775, 9780991196777
StatePublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: 24 Jul 201927 Jul 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period24/07/1927/07/19

Keywords

  • Fraction
  • Numerical cognition
  • Probability
  • Tsimane
  • Whole number bias

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