Evidence map›Paper›PMID 42439845›Full record

ArticleBioethics2026

Respectful Debiasing in Democratic Deliberation.

Shang Long Yeo

Abstract read
In one paragraph

Article in Bioethics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Shang Long YeoCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9677-0039

Funding

Ministry of Education, Singapore SSRC2023-SSRTG-006National University of Singapore NUHSRO/2024/076/Startup/10Social Science Research Council (Singapore)
6 · The paper itself

Abstract

Democratic deliberation about health policy requires, as one of its inputs, ethical judgments from members of the public. These judgments may, however, be biased and unreliable-they may be systematically distorted by framing and emotion effects, by the effects of self-interest, and by a whole host of other cognitive and affective biases. Supposing we find evidence of biased ethical judgments, can we deal with these judgments in ways that promote reliability while approximating, as far as possible, the moral and political ideals of deliberation? In this paper, I explore this question by outlining and evaluating three respectful debiasing methods, which aim to mitigate bias but in a morally and politically respectful way. In brief, the methods are: (1) Improving the conditions of elicitation but accepting whatever judgments that result, (2) Suggesting to specific members of the public that they may be biased and leaving them to decide whether to debias, and (3) Surveying the public's standards for bias and applying these standards to their ethical judgments.

Indexed as

Decision MakingHealth PolicyJudgmentRespectBiasHumansMoralsPoliticsbiasdebiasingdemocratic deliberationethical judgmentsframing effectsidentified victims

Identifiers

PMID42439845
PMCPMC13664656

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.