Evidence map›Paper›PMID 41286330›Full record

ArticleScientific reports2025

Debiasing training reduces confirmation bias in national risk analysts.

Bas Heerma van Voss, Haewon Yoon, Irene Scopelliti, Rowena Zweet, Ira Helsloot, Carey K Morewedge

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

6 authors.

Bas Heerma van VossDepartment of Economic Policy & Research, Dutch Central Bank, Amsterdam, The Netherlands, Department of Public Administration, Radboud University, Nijmegen, The Netherlands. b.s.heerma.van.voss@dnb.nl.ORCID http://orcid.org/0000-0001-6813-1830
Haewon YoonSchool of Psychological and Behavioral Sciences, Southern Illinois University, Carbondale, USA.ORCID http://orcid.org/0000-0002-6211-7680
Irene ScopellitiBayes Business School, City St Georges, University of London, London, UK.ORCID http://orcid.org/0000-0001-6712-5332
Rowena ZweetDepartment of Public Administration, Radboud University, Nijmegen, The Netherlands.ORCID http://orcid.org/0009-0000-4048-5020
Ira HelslootDepartment of Public Administration, Radboud University, Nijmegen, The Netherlands, PEASEC, Technical University Darmstadt, Darmstadt, Germany, Crisislab, Renswoude, The Netherlands.ORCID http://orcid.org/0000-0002-6019-3401
Carey K MorewedgeQuestrom School of Business, Boston University, Boston, USA.ORCID http://orcid.org/0000-0001-7502-9279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

State risk forecasts are crucial for allocating resources to address international and domestic threats such as war, pandemics, and climate change. These risk forecasts largely rely on human judgment, which is often susceptible to cognitive biases. We conducted an experiment involving the majority of national risk analysts in a European country and a matched sample of masters students to compare their susceptibility to confirmation bias and bias blind spot in judgments related and unrelated to national risk. Additionally, we evaluated the effectiveness of a one-shot debiasing training intervention across both samples. We find that analysts exhibit less confirmation bias than students within and outside risk-related judgments. Crucially, a one-shot debiasing training session reduced confirmation bias in both analyst and student groups. These findings suggest that cost-effective debiasing interventions can improve expert judgment in national risk forecasting and provide evidence that experience and expertise reduce cognitive bias more broadly than previously recognized.

Indexed as

BiasForecastingHumansJudgmentRisk Assessment

Identifiers

PMID41286330
PMCPMC12660316

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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.