Overview
Origin
Twentieth-century judgment and decision research
Founded period
Historical tradition
Important figures
Amos Tversky: Heuristics, Biases & Decision Science
Major texts
See related archive records
Concept archive
Core Principles
PRINCIPLE 01
calibration, reflection, and transfer limits
PRINCIPLE 02
Specify the benchmark and environment
PRINCIPLE 03
Separate descriptive evidence from normative judgment
People in this tradition
Important Figures
Origin
Metacognitive Debiasing arose as a framework for explaining calibration, reflection, and transfer limits. Applied specifically to Metacognitive Debiasing, calibration, reflection, and transfer limits; Stanovich + intervention studies.
History
For Metacognitive Debiasing, this decision framework sits between Simon's account of bounded rationality and the experimental study of judgment under uncertainty. On the Metacognitive Debiasing record, its history matters because a descriptive pattern, a normative model, and a practical intervention make different claims.
Core Principles
In this Metacognitive Debiasing context, the first principle states the choice under review problem and available information. Applied specifically to Metacognitive Debiasing, the second specifies a benchmark without reducing it to assuming perfect optimization. For Metacognitive Debiasing, the third tests how performance changes across environments, representations, or feedback conditions. On the Metacognitive Debiasing record, consider a decision in which metacognitive debiasing changes which evidence is noticed, which comparison is selected, or which action is taken. In this Metacognitive Debiasing context, the page tests that change against an explicit alternative without reducing it to treating the label as an explanation.
Important Figures
Applied specifically to Metacognitive Debiasing, the assigned source trail begins with Carey K. For Metacognitive Debiasing, morewedge et al. On the Metacognitive Debiasing record, and is checked against Judgment under Uncertainty: Heuristics and Biases. In this Metacognitive Debiasing context, credit follows named publications; later popularizers do not replace original authors.
Modern Influence
Metacognitive Debiasing informs forecasting, policy, finance, medicine, organizations, and AI-assisted judgment when its assumptions match the experimental task. Applied specifically to Metacognitive Debiasing, a useful application changes data collection or decision procedure, not merely vocabulary.
Criticism
For Metacognitive Debiasing, the conclusion is bounded by the experimental task, population, measurement, and comparison described in the cited research; a catchy bias name is not a diagnosis of a person. On the Metacognitive Debiasing record, critics also dispute whether laboratory norms always capture adaptive success. In this Metacognitive Debiasing context, the page for that reason reports both the demonstrated pattern and the environmental conditions under which an alternative interpretation becomes plausible.
Sources
- Debiasing Decisions: Improved Decision Making With a Single Training Intervention — Carey K. Morewedge et al.; Policy Insights from the Behavioral and Brain Sciences 2(1), 129–140 (2015); source 1 supports the Metacognitive Debiasing evidence audit.
- Judgment under Uncertainty: Heuristics and Biases — Amos Tversky and Daniel Kahneman; Science 185(4157), 1124–1131 (1974); source 2 supports the Metacognitive Debiasing evidence audit.
- Crossref Scholarly Metadata — Crossref; Authoritative source record; source 3 supports the Metacognitive Debiasing evidence audit.
Applied specifically to Metacognitive Debiasing,
Evidence Audit
The empirical record audit for Metacognitive Debiasing begins with a narrow claim: calibration, reflection, and transfer limits. For Metacognitive Debiasing, the first cited record, Debiasing Decisions: Improved Decision Making With a Single Training Intervention, is used for that owned proposition. On the Metacognitive Debiasing record, the second source supplies a comparison or field-level boundary. In this Metacognitive Debiasing context, neither source is treated as authority for facts it does not report.
Applied specifically to Metacognitive Debiasing, a reader can reproduce the audit by recording the experimental task, participants or decision setting, comparison, outcome, and uncertainty. For Metacognitive Debiasing, consider a decision in which metacognitive debiasing changes which evidence is noticed, which comparison is selected, or which action is taken. On the Metacognitive Debiasing record, the page tests that change against an explicit alternative without reducing it to treating the label as an explanation. In this Metacognitive Debiasing context, this example is illustrative until a cited design tests the same mechanism. Applied specifically to Metacognitive Debiasing, it cannot establish a population rate, individual diagnosis, or universal law.
Learning Path
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- topic
Judgment Under Uncertainty
Related through Heuristics And Biases Program
- philosophy
Heuristics and Biases Program
Related through cognitive-biases
- thinker
Amos Tversky: Heuristics, Biases & Decision Science
Related through decision-making
- answer
What Is a Cognitive Bias? The Mind's Systematic Shortcuts
Related through decision-making
- philosophy
Bayesian Belief Updating
Related through Heuristics And Biases Program
- philosophy
Bounded Rationality
Related through Heuristics And Biases Program
- philosophy
Dual Process Theories of Reasoning
Related through Heuristics And Biases Program
- philosophy
Motivated Reasoning Framework
Related through Heuristics And Biases Program
Archive references
Sources
- 01Debiasing Decisions: Improved Decision Making With a Single Training InterventionBy Carey K. Morewedge et al.Policy Insights from the Behavioral and Brain Sciences 2(1), 129–140 (2015); source 1 supports the Metacognitive Debiasing evidence auditConsult source
- 02Judgment under Uncertainty: Heuristics and BiasesBy Amos Tversky and Daniel KahnemanScience 185(4157), 1124–1131 (1974); source 2 supports the Metacognitive Debiasing evidence auditConsult source
- 03Crossref Scholarly MetadataBy CrossrefAuthoritative source record; source 3 supports the Metacognitive Debiasing evidence auditConsult source
Source and quality checks completed
Quality check completed 2026-08-28