Failing to ignore the ignorant: Mistaking ignorance for error

Expertise is a reliable cue for accuracy – experts are often correct in their judgments and opinions. However, the opposite is not necessarily the case – ignorant judges are not guaranteed to err. Specifically, in a question with a dichotomous response option, an ignorant responder has a 50% chance...

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Main Authors: André Vaz, André Mata
Format: Article
Language:English
Published: Cambridge University Press 2022-09-01
Series:Judgment and Decision Making
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S193029750000927X/type/journal_article
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author André Vaz
André Mata
author_facet André Vaz
André Mata
author_sort André Vaz
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description Expertise is a reliable cue for accuracy – experts are often correct in their judgments and opinions. However, the opposite is not necessarily the case – ignorant judges are not guaranteed to err. Specifically, in a question with a dichotomous response option, an ignorant responder has a 50% chance of being correct. In five studies, we show that people fail to understand this, and that they overgeneralize a sound heuristic (expertise signals accuracy) to cases where it does not apply (lack of expertise does not imply error). These studies show that people 1) tend to think that the responses of an ignorant person to dichotomous-response questions are more likely to be incorrect than correct, and 2) they tend to respond the opposite of what the ignorant person responded. This research also shows that this bias is at least partially intuitive in nature, as it manifests more clearly in quick gut responses than in slow careful responses. Still, it is not completely corrected upon careful deliberation. Implications are discussed for rationality and epistemic vigilance.
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spelling doaj.art-95383230928b4950add834aa2533e1642023-09-03T13:42:59ZengCambridge University PressJudgment and Decision Making1930-29752022-09-011793796110.1017/S193029750000927XFailing to ignore the ignorant: Mistaking ignorance for errorAndré Vaz0https://orcid.org/0000-0003-3352-5455André Matahttps://orcid.org/0000-0001-5087-4919CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisboa, PortugalExpertise is a reliable cue for accuracy – experts are often correct in their judgments and opinions. However, the opposite is not necessarily the case – ignorant judges are not guaranteed to err. Specifically, in a question with a dichotomous response option, an ignorant responder has a 50% chance of being correct. In five studies, we show that people fail to understand this, and that they overgeneralize a sound heuristic (expertise signals accuracy) to cases where it does not apply (lack of expertise does not imply error). These studies show that people 1) tend to think that the responses of an ignorant person to dichotomous-response questions are more likely to be incorrect than correct, and 2) they tend to respond the opposite of what the ignorant person responded. This research also shows that this bias is at least partially intuitive in nature, as it manifests more clearly in quick gut responses than in slow careful responses. Still, it is not completely corrected upon careful deliberation. Implications are discussed for rationality and epistemic vigilance.https://www.cambridge.org/core/product/identifier/S193029750000927X/type/journal_articleignoranceerrorheuristicsexpertiseadvice takingsocial influence
spellingShingle André Vaz
André Mata
Failing to ignore the ignorant: Mistaking ignorance for error
Judgment and Decision Making
ignorance
error
heuristics
expertise
advice taking
social influence
title Failing to ignore the ignorant: Mistaking ignorance for error
title_full Failing to ignore the ignorant: Mistaking ignorance for error
title_fullStr Failing to ignore the ignorant: Mistaking ignorance for error
title_full_unstemmed Failing to ignore the ignorant: Mistaking ignorance for error
title_short Failing to ignore the ignorant: Mistaking ignorance for error
title_sort failing to ignore the ignorant mistaking ignorance for error
topic ignorance
error
heuristics
expertise
advice taking
social influence
url https://www.cambridge.org/core/product/identifier/S193029750000927X/type/journal_article
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