Judgment
Abstract
Why does judgment matter? We expect good judgment from a doctor making a diagnosis, an employer screening resumes, or a professor grading an essay. But even the wisest experts are susceptible to both bias (consistently going in the wrong direction) and noise (randomly missing the mark). The first step to more accurate and precise judgment is to understand the ways in which the human mind jumps to conclusions. Your judgment will never be perfect—but you can strive to be aware of your limitations and to correct for them.
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Noise in human judgements is demanding to be assessed through noise audits to identify factors such as pattern noise and occasion noise in the medical decision process.
“In contrast to the precision of instruments, noise in human judgements is demanding to be assessed through so-called noise audits to identify different factors, like pattern noise and occasion noise in the medical decision process213.”
From The METRIC-framework for assessing data quality for trustworthy AI in medicine: A systematic review (2024) · cites this paper as [213]
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References 4 · Cited by 159
- Authors
- Sibony, O., Paris, H., Kahneman, D., & Princeton University
- ORCID
- Sibony, Olivier
- Venue
- Character Lab Playbook
- Publisher
- Character Lab
- Published
- 2021-05
- ISSN
- 2769-3147 (ISSN-L)
- OpenAlex
- W4214677002
- Cited by
- 159
- References
- 4
- Citations by year
- 2026: 34 · 2025: 29 · 2024: 40 · 2023: 27 · 2022: 23 · 2021: 6
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Character Lab Playbook (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Social Sciences › Decision Sciences › Management Science and Operations Research › Leadership, Behavior, and Decision-Making Studies
- Keywords
- judgment, cognitive biases, decision-making, judgment accuracy, metacognition, human error
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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