Evidence map›Paper›PMID 32673034›Full record

ArticlePsychological review2021

The nature of metacognitive inefficiency in perceptual decision making.

Medha Shekhar, Dobromir Rahnev

Open access · hybridAbstract read
In one paragraph

Article in Psychological review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Metacognition and metacognitive monitoring in aging.Psychonomic bulletin & review · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Confidence in naturalistic decision making.Neuroscience of consciousness · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. No Central Executive? Decision Formation Through Multi-Area Population Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  20. Computational and Neuronal Basis of Visual Confidence.Annual review of vision science · 2025
    Review

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Medha ShekharSchool of Psychology, Georgia Institute of Technology.ORCID 0000-0002-5205-7274
Dobromir RahnevSchool of Psychology, Georgia Institute of Technology.
Georgia Institute of Technology · US

Funding

Uncovering the Architecture of MetacognitionR01MH119189 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI RAHNEV, DOBROMIR · 2020 to 2024
$1.5M
Uncovering the Architecture of MetacognitionR56MH119189 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI RAHNEV, DOBROMIR · 2019 to 2019
$334k
NIMH NIH HHSNIMH NIH HHS R01 MH119189NIMH NIH HHS R56 MH119189
6 · The paper itself

Abstract

Humans have the metacognitive ability to judge the accuracy of their own decisions via confidence ratings. A substantial body of research has demonstrated that human metacognition is fallible but it remains unclear how metacognitive inefficiency should be incorporated into a mechanistic model of confidence generation. Here we show that, contrary to what is typically assumed, metacognitive inefficiency depends on the level of confidence. We found that, across 5 different data sets and 4 different measures of metacognition, metacognitive ability decreased with higher confidence ratings. To understand the nature of this effect, we collected a large dataset of 20 subjects completing 2,800 trials each and providing confidence ratings on a continuous scale. The results demonstrated a robustly nonlinear zROC curve with downward curvature, despite a decades-old assumption of linearity. This pattern of results was reproduced by a new mechanistic model of confidence generation, which assumes the existence of lognormally distributed metacognitive noise. The model outperformed competing models either lacking metacognitive noise altogether or featuring Gaussian metacognitive noise. Further, the model could generate a measure of metacognitive ability which was independent of confidence levels. These findings establish an empirically validated model of confidence generation, have significant implications about measures of metacognitive ability, and begin to reveal the underlying nature of metacognitive inefficiency. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Indexed as

Decision MakingJudgmentMetacognitionFemaleHumansMaleYoung Adult

Identifiers

PMID32673034
PMCPMC7883626
OpenAlexW3018041557

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.