ArticleBioethics2026
Respectful Debiasing in Democratic Deliberation.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.