Evidence map›Paper›PMID 35535494›Full record

ArticleeLife2022

Conformist social learning leads to self-organised prevention against adverse bias in risky decision making.

Wataru Toyokawa, Wolfgang Gaissmaier

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Informational and Normative Influence on Conformity in Autism.Autism research : official journal of the International Society for Autism Research · 2026
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  6. Bridging theory and data: A computational workflow for cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Humans flexibly integrate social information despite interindividual differences in reward.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
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  10. A Cognitive Computational Approach to Social and Collective Decision-Making.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Wataru ToyokawaDepartment of Psychology, University of Konstanz, Konstanz, Germany.ORCID 0000-0001-8558-8568
Wolfgang GaissmaierDepartment of Psychology, University of Konstanz, Konstanz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the ubiquity of potentially adverse behavioural bias owing to myopic trial-and-error learning, it seems paradoxical that improvements in decision-making performance through conformist social learning, a process widely considered to be bias amplification, still prevail in animal collective behaviour. Here we show, through model analyses and large-scale interactive behavioural experiments with 585 human subjects, that conformist influence can indeed promote favourable risk taking in repeated experience-based decision making, even though many individuals are systematically biased towards adverse risk aversion. Although strong positive feedback conferred by copying the majority's behaviour could result in unfavourable informational cascades, our differential equation model of collective behavioural dynamics identified a key role for increasing exploration by negative feedback arising when a weak minority influence undermines the inherent behavioural bias. This 'collective behavioural rescue', emerging through coordination of positive and negative feedback, highlights a benefit of collective learning in a broader range of environmental conditions than previously assumed and resolves the ostensible paradox of adaptive collective behavioural flexibility under conformist influences.

Indexed as

Social LearningAnimalsBehavior, AnimalDecision MakingHumansLearningcollective behaviourcomputational biologyconformityhot stove effecthumanphysics of living systemsreinforcement learningrisky decision makingsocial learningsystems biology

Identifiers

PMID35535494
PMCPMC9090329

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.