Evidence map›Paper›PMID 39904396›Full record

ArticleProceedings. Biological sciences2025

Poverty is associated with both risk avoidance and risk taking: empirical evidence for the desperation threshold model from the UK and France.

Benoît de Courson, Willem E Frankenhuis, Daniel Nettle

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Welfare system is a key public health measure.BMJ (Clinical research ed.) · 2025
    Article
  2. Article
  3. The evolution of similarity-biased social learning.Evolutionary human sciences · 2025
    Article
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

3 authors.

Benoît de CoursonMax Planck Institute for the Study of Crime, Security and Law, Freiburg im Breisgau, Germany.ORCID 0000-0001-8215-9928
Willem E FrankenhuisMax Planck Institute for the Study of Crime, Security and Law, Freiburg im Breisgau, Germany.
Daniel NettleDépartement d'études cognitives, Institut Jean Nicod, Ecole Normale Supérieure, Université PSL, EHESS, CNRS, Paris, France.ORCID 0000-0001-9089-2599

Funding

Agence Nationale de la RechercheDutch Research CouncilJames S. McDonnell Foundation
6 · The paper itself

Abstract

In situations of poverty, do people take more or less risk? One hypothesis states that poverty makes people avoid risk, because they cannot buffer against losses, while another states that poverty makes people take risks, because they have little to lose. Each hypothesis has some previous empirical support. Here, we test the 'desperation threshold' model, which integrates both hypotheses. We assume that people attempt to stay above a critical level of resources, representing their 'basic needs'. Just above this threshold, people have much to lose and should avoid risk. Below, they have little to lose and should take risks. We conducted preregistered tests of the model using survey data from 472 adults in France and the UK. The predictor variables were subjective and objective measures of current resources. The outcome measure, risk taking, was measured using a series of hypothetical gambles. Risk taking followed a V-shape against subjective resources, first decreasing and then increasing again as resources reduced. This pattern was not observed for the objective resource measure. We also found that risk taking was more variable among people with fewer resources. Our findings synthesize the split literature on poverty and risk taking, with implications for policy and interventions.

Indexed as

PovertyRisk-TakingAdolescentAdultFemaleFranceHumansMaleMiddle AgedModels, PsychologicalUnited KingdomYoung Adultmodellingoptimal foragingpovertyrisk taking

Identifiers

PMID39904396
PMCPMC11793957

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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.