Evidence map›Paper›PMID 36646767›Full record

ArticleScientific reports2023

People conform to social norms when gambling with lives or money.

Yueyi Jiang, Przemysław Marcowski, Arseny Ryazanov, Piotr Winkielman

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Fluency, prediction and motivation: how processing dynamics, expectations and epistemic goals shape aesthetic judgements.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yueyi JiangDepartment of Psychology, University of California San Diego, La Jolla, CA, USA. yujiang@ucsd.edu.ORCID 0000-0002-5311-4648
Przemysław MarcowskiSwartz Center for Computational Neuroscience, University of California San Diego, La Jolla, CA, USA.
Arseny RyazanovDepartment of Psychology, University of California San Diego, La Jolla, CA, USA.
Piotr WinkielmanDepartment of Psychology, University of California San Diego, La Jolla, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many consider moral decisions to follow an internal "moral compass", resistant to social pressures. Here we examine how social influence shapes moral decisions under risk, and how it operates in different decision contexts. We employed an adapted Asian Disease Paradigm where participants chose between certain losses/gains and probabilistic losses/gains in a series of moral (lives) or financial (money) decisions. We assessed participants' own risk preferences before and after exposing them to social norms that are generally risk-averse or risk-seeking. Our results showed that participants robustly shifted their own choices towards the observed risk preferences. This conformity holds even after a re-testing in three days. Interestingly, in the monetary domain, risk-averse norms have more influence on choices in the loss frame, whereas risk-seeking norms have more influence in the gain frame, presumably because norms that contradict default behavior are most informative. In the moral domain, risk-averse as opposed to risk-seeking norms are more effective in the loss frame but in the gain frame different norms are equally effective. Taken together, our results demonstrate conformity in risk preferences across contexts and highlight unique features of decisions and conformity in moral and monetary domains.

Indexed as

GamblingDecision MakingHumansInterpersonal RelationsMoralsSocial BehaviorSocial Norms

Identifiers

PMID36646767
PMCPMC9842616

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.