The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs

Why do people sometimes hold unjustified beliefs and make harmful choices? Three hypotheses include (a) contemporary incentives in which some errors cost more than others, (b) cognitive biases evolved to manage ancestral incentives with variation in error costs and (c) social learning based on choic...

Full description

Bibliographic Details
Main Authors: Charles Efferson, Ryan McKay, Ernst Fehr
Format: Article
Language:English
Published: Cambridge University Press 2020-01-01
Series:Evolutionary Human Sciences
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S2513843X20000250/type/journal_article
_version_ 1827995050575921152
author Charles Efferson
Ryan McKay
Ernst Fehr
author_facet Charles Efferson
Ryan McKay
Ernst Fehr
author_sort Charles Efferson
collection DOAJ
description Why do people sometimes hold unjustified beliefs and make harmful choices? Three hypotheses include (a) contemporary incentives in which some errors cost more than others, (b) cognitive biases evolved to manage ancestral incentives with variation in error costs and (c) social learning based on choice frequencies. With both modelling and a behavioural experiment, we examined all three mechanisms. The model and experiment support the conclusion that contemporary cost asymmetries affect choices by increasing the rate of cheap errors to reduce the rate of expensive errors. Our model shows that a cognitive bias can distort the evolution of beliefs and in turn behaviour. Unless the bias is strong, however, beliefs often evolve in the correct direction. This suggests limitations on how cognitive biases shape choices, which further indicates that detecting the behavioural consequences of biased cognition may sometimes be challenging. Our experiment used a prime intended to activate a bias called ‘hyperactive agency detection’, and the prime had no detectable effect on choices. Finally, both the model and experiment show that frequency-dependent social learning can generate choice dynamics in which some populations converge on widespread errors, but this outcome hinges on the other two mechanisms being neutral with respect to choice.
first_indexed 2024-04-10T04:50:33Z
format Article
id doaj.art-7baef370069c432d9c4b2e83c98f39cf
institution Directory Open Access Journal
issn 2513-843X
language English
last_indexed 2024-04-10T04:50:33Z
publishDate 2020-01-01
publisher Cambridge University Press
record_format Article
series Evolutionary Human Sciences
spelling doaj.art-7baef370069c432d9c4b2e83c98f39cf2023-03-09T12:32:20ZengCambridge University PressEvolutionary Human Sciences2513-843X2020-01-01210.1017/ehs.2020.25The evolution of distorted beliefs vs. mistaken choices under asymmetric error costsCharles Efferson0https://orcid.org/0000-0001-8244-4497Ryan McKay1Ernst Fehr2Faculty of Business and Economics, University of Lausanne, SwitzerlandDepartment of Psychology, Royal Holloway, University of London, UKDepartment of Economics, University of Zurich, SwitzerlandWhy do people sometimes hold unjustified beliefs and make harmful choices? Three hypotheses include (a) contemporary incentives in which some errors cost more than others, (b) cognitive biases evolved to manage ancestral incentives with variation in error costs and (c) social learning based on choice frequencies. With both modelling and a behavioural experiment, we examined all three mechanisms. The model and experiment support the conclusion that contemporary cost asymmetries affect choices by increasing the rate of cheap errors to reduce the rate of expensive errors. Our model shows that a cognitive bias can distort the evolution of beliefs and in turn behaviour. Unless the bias is strong, however, beliefs often evolve in the correct direction. This suggests limitations on how cognitive biases shape choices, which further indicates that detecting the behavioural consequences of biased cognition may sometimes be challenging. Our experiment used a prime intended to activate a bias called ‘hyperactive agency detection’, and the prime had no detectable effect on choices. Finally, both the model and experiment show that frequency-dependent social learning can generate choice dynamics in which some populations converge on widespread errors, but this outcome hinges on the other two mechanisms being neutral with respect to choice.https://www.cambridge.org/core/product/identifier/S2513843X20000250/type/journal_articleCultural evolutionerror management theoryherdingsocial learninghyperactive agency detection
spellingShingle Charles Efferson
Ryan McKay
Ernst Fehr
The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
Evolutionary Human Sciences
Cultural evolution
error management theory
herding
social learning
hyperactive agency detection
title The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
title_full The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
title_fullStr The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
title_full_unstemmed The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
title_short The evolution of distorted beliefs vs. mistaken choices under asymmetric error costs
title_sort evolution of distorted beliefs vs mistaken choices under asymmetric error costs
topic Cultural evolution
error management theory
herding
social learning
hyperactive agency detection
url https://www.cambridge.org/core/product/identifier/S2513843X20000250/type/journal_article
work_keys_str_mv AT charlesefferson theevolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts
AT ryanmckay theevolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts
AT ernstfehr theevolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts
AT charlesefferson evolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts
AT ryanmckay evolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts
AT ernstfehr evolutionofdistortedbeliefsvsmistakenchoicesunderasymmetricerrorcosts