Evidence map›Paper›PMID 42303925›Full record

ArticleJournal of gambling studies2026

From 'Six Others' to Edge Conservation: A Network Reconciliation of Gambling Harm to Others.

Matthew Browne, Catherine Tulloch, Mitchell D Woodbright

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Matthew BrowneSchool of Health, Medical & Applied Sciences, Central Queensland University, Queensland, Australia.
Catherine TullochSchool of Health, Medical & Applied Sciences, Central Queensland University, Queensland, Australia.
Mitchell D WoodbrightSchool of Engineering & Technology, Central Queensland University, Queensland, Australia. m.woodbright@cqu.edu.au.ORCID http://orcid.org/0000-0002-4664-478X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widely cited estimate that there are approximately 'six others' affected per person with problem gambling implies, when projected to the population level, a count of affected others that is highly inconsistent with prevalence data - likely due to some combination of biased reporting and network clustering that inflates relationship counts relative to unique individuals. By reconciling conflicting reports from gamblers and those they harm, and explicitly modelling network clustering-where the same people are often harmed by multiple gamblers-we estimate that, at the population level, approximately 4.7 people are affected for every person with problem gambling. Correcting this population-level overestimate does not eliminate the prevention paradox: low- and moderate-risk gamblers still account for the majority (70%) of all vectors of harm transmission in the population, despite lower reconciled fan-out than problem gamblers. We also find that nearly one in four affected others are themselves at-risk gamblers due to network effects, experiencing roughly double the exposure of non-gamblers. Our reconciliation of the available evidence confirms that the transmission of gambling harm concentrates in dense social networks (including families) rather than dispersing randomly. The edge-conservation framework we develop can be updated as new data becomes available, and applies broadly to any behavioural harm that propagates through social networks.

Indexed as

Edge conservationGambling harmNetwork analysisPrevalence estimationPrevention paradoxSocial cost

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.