Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments
Abstract
People tend to hold overly favorable views of their abilities in many social and intellectual domains. The authors suggest that this overestimation occurs, in part, because people who are unskilled in these domains suffer a dual burden: Not only do these people reach erroneous conclusions and make unfortunate choices, but their incompetence robs them of the metacognitive ability to realize it. Across 4 studies, the authors found that participants scoring in the bottom quartile on tests of humor, grammar, and logic grossly overestimated their test performance and ability. Although their test scores put them in the 12th percentile, they estimated themselves to be in the 62nd. Several analyses linked this miscalibration to deficits in metacognitive skill, or the capacity to distinguish accuracy from error. Paradoxically, improving the skills of participants, and thus increasing their metacognitive competence, helped them recognize the limitations of their abilities.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Kruger and Dunning (76) demonstrated that individuals with limited competence in a given domain tend to lack awareness of that very limitation, resulting in systematic self-assessment inflation.
“This pattern is consistent with the metacognitive model formulated by Kruger and Dunning (76), who demonstrated that individuals with limited competence in a given domain tend to lack awareness of that very limitation, resulting in systematic self-assessment inflation.”
From Health misinformation, digital health literacy, and attitudes toward science among university students: an exploratory cross-sectional survey (2026) · cites this paper as [76]
The finding that middle performers show the largest metacognitive disconnect is inconsistent with previous studies that identified low-performing students as demonstrating the most significant metacognitive disconnect due to the Dunning-Kruger effect.
“which is inconsistent with previous studies that have identified low- performing students as demonstrating the most significant metacognitive disconnect due to the Dunning- Kruger effect (Kruger & Dunning,1999; Ehrlinger et al.,2008; Sawdon & Finn,2014; Steuber et al.,2017).”
From Promoting metacognition in an allied health anatomy course (2023) · cites this paper as Kruger & Dunning,1999
The decline in performance of human-AI teams when tackling tasks of medium complexity suggests that users may have faced challenges in accurately assessing their own abilities and the capabilities of AI systems, primarily by overestimating their own abilities.
“The decline in performance of human-AI teams when tackling tasks of medium complexity suggests that users may have faced challenges in accurately assessing their own abilities and the capabilities of AI systems, primarily by overestimating their own abilities [64].”
From Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making (2024) · cites this paper as [64]
Psychological evidence suggests that individuals who do not know much about a subject tend not to recognize their ignorance and therefore typically fail to seek better information.
“By contrast, this literature suggests that individuals who do not know much about a subject tend not to recognize their ignorance and therefore typically fail to seek better information (Kruger and Dunning 1999).”
From Financial literacy, financial advice, and financial behavior (2017) · cites this paper as Kruger and Dunning 1999
Media literacy has long focused on personal responsibility, which can imbue individuals with a false sense of confidence in their skills and put the onus of monitoring media effects on the audience rather than media creators, social media platforms, or regulators.
“Media literacy has long focused on personal responsibility, which can not only imbue individuals with a false sense of confidence in their skills (Sanchez & Dunning, 2018; Kruger & Dunning, 1999), but put the onus of monitoring media effects on the audience, rather than media creators, social media platforms, or regulators.”
From The Promises, Challenges, and Futures of Media Literacy (2018) · cites this paper as Kruger & Dunning, 1999
The small proportions of participants whose scores did not change or decreased from pre- to post-test were likely due to initial overconfidence bias and post-test overcorrection from the Dunning-Kruger effect.
“This was likely observed in the small proportions of participants whose scores did not change or decreased from pre- to post-test.”
Kruger and Dunning (1999) report that worst-performing subjects on a variety of tests showed a bigger discrepancy between actual performance and a one-shot rating than better performers.
“Kruger and Dunning (1999) report a series of experiments in which the worst-performing subjects on a variety of tests showed a bigger discrepancy between actual performance and a one-shot rating than the better performers.”
From How to measure metacognition (2014) · cites this paper as Kruger and Dunning (1999)
The double curse means that people who lack the skills to produce right answers also lack the ability to judge whether their own answers and those of other people are right.
“This double curse means that those people who lack the skills to produce the right answers likewise lack the ability to judge whether their own answers (and those of other people) are in fact right.”
From The Exam Autopsy: An Integrated Post-Exam Assessment Model (2019) · cites this paper as Kruger & Dunning, 1999
Concerns have been raised about the validity and reliability of self-assessments as true indicators of student ability and progress.
“Yet concerns have been raised as to the validity and reliability of self-assessments as true indicators of student ability and progress (Dunn & Mulvenon, 2009;Kruger & Dunning, 1999;Ross, 2006)”
From The Exam Autopsy: An Integrated Post-Exam Assessment Model (2019) · cites this paper as Kruger & Dunning, 1999
Students may not know enough to gauge their own ignorance or incompetence, and consequently self-assessments may be insufficient as self-monitoring tools.
“in other words, students may not know enough to be able to gauge their own ignorance or incompetence, and consequently these may be insufficient as self-monitoring tools.”
From The Exam Autopsy: An Integrated Post-Exam Assessment Model (2019) · cites this paper as Kruger & Dunning, 1999
Building monitoring skills improves self-evaluations and achievement among struggling students.
“They found that building monitoring skills improved self-evaluations and achievement among struggling students.”
From The Potential of Exam Wrappers in Higher Education Assessment Practice: Fostering Self-Efficacy Through Guided Self-Reflection (2025) · cites this paper as Kruger and Dunning (1999)
Poor performers are typically least accurate in appraising their abilities.
“Kruger and Dunning (1999) extended these findings, showing that poor performers are typically least accurate in appraising their abilities.”
From The Potential of Exam Wrappers in Higher Education Assessment Practice: Fostering Self-Efficacy Through Guided Self-Reflection (2025) · cites this paper as Kruger and Dunning (1999)
Performance gains often occur without altering individuals' self-perceptions; the two become aligned because performance increases to meet perceptions.
“performance gains often occur without altering individuals’ self-perceptions, the two becoming aligned because performance increases to meet perceptions.”
From Factors influencing responsiveness to feedback: On the interplay between fear, confidence, and reasoning processes. (2012) · cites this paper as Kruger and Dunning’s (1999)
Generative-AI use can increase perceived efficiency or self-efficacy while simultaneously strengthening technological dependence or false self-efficacy.
“Studies of university students also indicate a paradoxical pattern in which generative-AI use can increase perceived efficiency or self-efficacy while simultaneously strengthening technological dependence or false self-efficacy (Zhang and Xu, 2025; Jia et al., 2025; Kruger and Dunning, 1999).”
From College students' metacognitive awareness of generative-AI reliance: an experimental study of decision confidence and attribution bias (2026) · cites this paper as Kruger and Dunning, 1999
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.51.6.1173 · Cited by 91,542 · see citing works
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532 · see citing works
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650 · see citing works
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926 · see citing works
(1994) · DigitalGeorgetown (Georgetown University Library) · Cited by 10,542 · see citing works
Illusion and well‐being: A social psychological perspective on mental health
Taylor, S. E., & Brown, J. D. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.2.193 · Cited by 7,814 · see citing works
Judgment Under Uncertainty: Heuristics and Biases.
Shafer, G. R., Kahnerman, D., Slovic, P., & Tversky, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288362 · Cited by 5,658 · see citing works
Unrealistic optimism about future life events
Weinstein, N. D. (1980) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.39.5.806 · Cited by 4,999 · see citing works
The “false consensus effect”: An egocentric bias in social perception and attribution processes
Ross, L., Greene, D., & House, P. (1977) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(77)90049-x · Cited by 3,139 · see citing works
Goffman, E. (1955) · Psychiatry · doi:10.1080/00332747.1955.11023008 · Cited by 2,878 · see citing works
Calibration of probabilities: the state of the art to 1980
Lichtenstein, S., Fischhoff, B., & Phillips, L. D. (1982) · Judgment under Uncertainty · doi:10.1017/cbo9780511809477.023 · Cited by 1,967 · see citing works
Advances in the Psychology of Human Intelligence
Sternberg, R. J. (2014) · Psychology Press eBooks · doi:10.4324/9781315808246 · Cited by 1,771 · see citing works
Michelene, T. H., Glaser, R. A., & Rees, E. T. (1981) · Defense Technical Information Center (DTIC) · Cited by 1,533 · see citing works
Probabilistic mental models: a Brunswikian theory of confidence
Gigerenzer, G., Hoffrage, U., & Kleinbölting, H. (1991) · Psychological Review · doi:10.1037/0033-295x.98.4.506 · Cited by 1,506 · see citing works
Foss, B. (1966) · Medical Entomology and Zoology · Cited by 1,157 · see citing works
How to Make Cognitive Illusions Disappear: Beyond “Heuristics and Biases”
Gigerenzer, G. (1991) · European Review of Social Psychology · doi:10.1080/14792779143000033 · Cited by 1,153 · see citing works
Do those who know more also know more about how much they know?*1
Lichtenstein, S., & Fischhoff, B. (1977) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(77)90001-0 · Cited by 1,107 · see citing works
Conceptions of Modern Psychiatry
Sullivan, H. S. (1940) · Psychiatry · doi:10.1080/00332747.1940.11022272 · Cited by 1,067 · see citing works
Global self-evaluation as determined by the desirability and controllability of trait adjectives.
Alicke, M. D. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.49.6.1621 · Cited by 1,046 · see citing works
Personal contact, individuation, and the better-than-average effect.
Alicke, M. D., Klotz, M. L., Breitenbecher, D. L., Yurak, T. J., & Vredenburg, D. S. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.5.804 · Cited by 914 · see citing works
Evaluations of Self and Others: Self-Enhancement Biases in Social Judgments
Brown, J. D. (1986) · Social Cognition · doi:10.1521/soco.1986.4.4.353 · Cited by 911 · see citing works
Expectancy confirmation processes arising in the social interaction sequence.
Darley, J. M., & Fazio, R. H. (1980) · American Psychologist · doi:10.1037/0003-066x.35.10.867 · Cited by 853 · see citing works
Gilbert, D. T., Giesler, R., & Morris, K. (1995) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.69.2.227 · Cited by 705 · see citing works
Knowledge structures and memory development.
Michelene, T. H. (1978) · Medical Entomology and Zoology · Cited by 689 · see citing works
Dunning, D. A., Meyerowitz, J. A., & Holzberg, A. D. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.020 · Cited by 688 · see citing works
Self-citationSiegler, R. S. (2013) · Psychology Press eBooks · doi:10.4324/9780203763087 · Cited by 678 · see citing works
Kruger, J. (1999) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.77.2.221 · Cited by 639 · see citing works
Self-citationThornhill, R., & Gangestad, S. W. (1993) · Human Nature · doi:10.1007/bf02692201 · Cited by 612 · see citing works
Managerial myopia: Self-serving biases in organizational planning.
Larwood, L., & Whittaker, W. (1977) · Journal of Applied Psychology · doi:10.1037/0021-9010.62.2.194 · Cited by 490 · see citing works
Pragmatic versus syntactic approaches to training deductive reasoning
Cheng, P. W., Holyoak, K. J., Nisbett, R. E., & Oliver, L. M. (1986) · Cognitive Psychology · doi:10.1016/0010-0285(86)90002-2 · Cited by 488 · see citing works
The overconfidence effect in social prediction.
Dunning, D. A., Griffin, D. W., Milojkovic, J. D., & Ross, L. D. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.4.568 · Cited by 431 · see citing works
Self-citationMotivated recruitment of autobiographical memories.
Sanitioso, R. B., Kunda, Z., & Fong, G. T. (1990) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.59.2.229 · Cited by 401 · see citing works
Excuses: Masquerades in Search of Grace.
Brissett, D. D., Snyder, C. R., Higgins, R. L., & Stucky, R. J. (1985) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2071382 · Cited by 366 · see citing works
Egocentrism as a Source of Unrealistic Optimism
Weinstein, N. D., & Lachendro, E. (1982) · Personality and Social Psychology Bulletin · doi:10.1177/0146167282082002 · Cited by 319 · see citing works
The Reluctance to Transmit Bad News
Tesser, A., & Rosen, S. (1975) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60251-8 · Cited by 305 · see citing works
Relation of knowledge and performance in boys' tennis: Age and expertise
McPherson, S. L., & Thomas, J. R. (1989) · Journal of Experimental Child Psychology · doi:10.1016/0022-0965(89)90002-7 · Cited by 286 · see citing works
Not can, but will college teaching be improved?
Cross, K. P. (1977) · New Directions for Higher Education · doi:10.1002/he.36919771703 · Cited by 282 · see citing works
Overconfident prediction of future actions and outcomes by self and others.
Vallone, R. P., Griffin, D. W., Lin, S., & Ross, L. D. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.4.582 · Cited by 272 · see citing works
Learning from experience and suboptimal rules in decision making
Einhorn, H. J. (1982) · Cambridge University Press eBooks · doi:10.1017/cbo9780511809477.020 · Cited by 227 · see citing works
Egocentric definitions of traits and abilities in social judgment
Dunning, D., & Cohen, G. L. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.63.3.341 · Cited by 196 · see citing works
The ability to estimate knowledge and performance in college: A metacognitive analysis
Everson, H. T., & Tobias, S. (1998) · Instructional Science · doi:10.1023/a:1003040130125 · Cited by 192 · see citing works
Klar, Y., Medding, A., & Sarel, D. (1996) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1996.0076 · Cited by 187 · see citing works
Acceptance of personality interpretations: The "Barnum effect" and beyond.
Snyder, C. R. R., Shenkel, R. J., & Lowery, C. R. (1977) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.45.1.104 · Cited by 176 · see citing works
Communication of interpersonal evaluations.
Blumberg, H. H. (1972) · Journal of Personality and Social Psychology · doi:10.1037/h0033027 · Cited by 175 · see citing works
Cognitive Optimism: Self-Deception or Memory-Based Processing Heuristics?
Metcalfe, J. (1998) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0202_3 · Cited by 168 · see citing works
Bem, D. J., & Lord, C. G. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.6.833 · Cited by 154 · see citing works
Ambiguity and Bias in the Self-Concept
Felson, R. B. (1981) · Social Psychology Quarterly · doi:10.2307/3033866 · Cited by 144 · see citing works
Coming to terms with failure: Private self-enhancement and public self-effacement
Brown, J. D., & Gallagher, F. M. (1992) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(92)90029-j · Cited by 143 · see citing works
The relationship between comprehension and metacomprehension ability
Maki, R. H., Jonas, D., & Kallod, M. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03200769 · Cited by 125 · see citing works
Self-serving prototypes of social categories.
Dunning, D., Perie, M., & Story, A. L. (1991) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.61.6.957 · Cited by 116 · see citing works
Self-citationConfidence-judgment accuracy as a predictor of test performance
Shaughnessy, J. J. (1979) · Journal of Research in Personality · doi:10.1016/0092-6566(79)90012-6 · Cited by 72 · see citing works
Performance and metamemory: Do students know what they don't know?
Sinkavich, F. J. (1995) · Journal of instructional psychology · Cited by 71 · see citing works
Fagot, B. I., & O’Brien, M. (1994) · Merrill-palmer Quarterly · Cited by 49 · see citing works
Academic achievement and self-evaluations of academic performance.
Moreland, R. L., Miller, J. G., & Laucka, F. (1981) · Journal of Educational Psychology · doi:10.1037/0022-0663.73.3.335 · Cited by 47 · see citing works
Knowing that you don't know: Metamemory and discourse processing.
Klin, C. M., Guzmán, A. E., & Levine, W. H. (1997) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.23.6.1378 · Cited by 35 · see citing works
Story, A. L., & Dunning, D. A. (1998) · Journal of Experimental Social Psychology · doi:10.1006/jesp.1998.1362 · Cited by 28 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Davis, D. A., Mazmanian, P. E., Fordis, M., Van Harrison, R., Thorpe, K. E., & Perrier, L. (2006) · JAMA · doi:10.1001/jama.296.9.1094 · Cited by 2,375 · see citing works
The trouble with overconfidence.
Moore, D. A., & Healy, P. J. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.502 · Cited by 2,358 · see citing works
Flawed Self-Assessment: Implications for Health, Education, and the Workplace
Dunning, D., Heath, C., & Suls, J. M. (2004) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2004.00018.x · Cited by 1,865 · see citing works
Self-citationMuch ado about grit: A meta-analytic synthesis of the grit literature
Credé, M., Tynan, M. C., & Harms, P. D. (2017) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000102 · Cited by 1,653 · see citing works
The psychology of self-defense: Self-affirmation theory
Sherman, D. K., & Cohen, G. L. (2006) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(06)38004-5 · Cited by 1,614 · see citing works
Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,386 · see citing works
“In a highly cited paper, Kruger and Dunning (1999) report a series of experiments in which the worstperforming subjects on a variety of tests showed a bigger discrepancy between actual performance and a one-shot rating than the better performers.”
Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., & Kestin, G. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821936116 · Cited by 1,371 · see citing works
Advantages, Limitations and Recommendations for online learning during COVID-19 pandemic era
Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.36.covid19-s4.2785 · Cited by 1,300 · see citing works
Efklides, A. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.538645 · Cited by 1,211 · see citing works
Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023) · The International Journal of Management Education · doi:10.1016/j.ijme.2023.100790 · Cited by 1,261 · see citing works
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055 · see citing works
Constraints on Generality (COG): A Proposed Addition to All Empirical Papers
Simons, D. J., Shoda, Y., & Lindsay, D. S. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691617708630 · Cited by 986 · see citing works
Development of a self-report measure of environmental spatial ability
Hegarty, M. (2002) · Intelligence · doi:10.1016/s0160-2896(02)00116-2 · Cited by 1,023 · see citing works
Duckworth, A. L., & Yeager, D. S. (2015) · Educational Researcher · doi:10.3102/0013189x15584327 · Cited by 993 · see citing works
Self-Assessment in the Health Professions: A Reformulation and Research Agenda
Eva, K. W., & Regehr, G. (2005) · Academic Medicine · doi:10.1097/00001888-200510001-00015 · Cited by 992 · see citing works
The misunderstood limits of folk science: An illusion of explanatory depth
Rozenblit, L., & Keil, F. (2002) · Cognitive Science · doi:10.1207/s15516709cog2605_1 · Cited by 1,032 · see citing works
Self-Enhancement: Food for Thought
Sedikides, C., & Gregg, A. P. (2008) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2008.00068.x · Cited by 880 · see citing works
The neural basis of metacognitive ability
Fleming, S. M., & Dolan, R. J. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0417 · Cited by 747 · see citing works
“Despite being dissociable, it turns out that metacognitive accuracy generally scales with task performance [33, 77–80].”
Metacognition and affect: What can metacognitive experiences tell us about the learning process?
Efklides, A. (2006) · Educational Research Review · doi:10.1016/j.edurev.2005.11.001 · Cited by 724 · see citing works
Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses
Panadero, E., Jonsson, A., & Botella, J. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.08.004 · Cited by 712 · see citing works
Jones-Jang, S. M., Mortensen, T., & Liu, J. (2021) · American Behavioral Scientist · doi:10.1177/0002764219869406 · Cited by 685 · see citing works
Uttl, B., White, C. A., & Gonzalez, D. W. (2017) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2016.08.007 · Cited by 615 · see citing works
A Critical Review of Self-perceptions and the Positive Illusory Bias in Children with ADHD
Owens, J. S., Goldfine, M. E., Evangelista, N. M., Hoza, B., & Kaiser, N. M. (2007) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-007-0027-3 · Cited by 552 · see citing works
Chambers, J. R., & Windschitl, P. D. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.5.813 · Cited by 547 · see citing works
Towards a standard for identifying and managing bias in artificial intelligence
Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., & Hall, P. (2022) · doi:10.6028/nist.sp.1270 · Cited by 548 · see citing works
“ability and objective ability, respectively [279].”
Greene, J. A., & Azevedo, R. (2007) · Review of Educational Research · doi:10.3102/003465430303953 · Cited by 486 · see citing works
Financial literacy, financial advice, and financial behavior
Stolper, O. A., & Walter, A. (2017) · Journal of Business Economics · doi:10.1007/s11573-017-0853-9 · Cited by 471 · see citing works
“By contrast, this literature suggests that individuals who do not know much about a subject tend not to recognize their ignorance and therefore typically fail to seek better information (Kruger and Dunning 1999).”
McKay, R. T., & Dennett, D. C. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990975 · Cited by 474 · see citing works
Fast, N. J., Burris, E. R., & Bartel, C. A. (2014) · Academy of Management Journal · doi:10.5465/amj.2012.0393 · Cited by 440 · see citing works
The Promises, Challenges, and Futures of Media Literacy
Bulger, M., & Davison, P. (2018) · Journal of Media Literacy Education · doi:10.23860/jmle-2018-10-1-1 · Cited by 428 · see citing works
“…focused on personal responsibility, which can not only imbue individuals with a false sense of confidence in their skills (Sanchez & Dunning, 2018; Kruger & Dunning, 1999), but put the onus of monitoring media effects on the audience, rather than media creators, social media platforms, or…”
Köbis, N., & Mossink, L. D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106553 · Cited by 406 · see citing works
Eva, K. W., Armson, H., Holmboe, E., Lockyer, J., Loney, E., Mann, K., & Sargeant, J. (2012) · Advances in Health Sciences Education · doi:10.1007/s10459-011-9290-7 · Cited by 402 · see citing works
Political Extremism Is Supported by an Illusion of Understanding
Fernbach, P. M., Rogers, T., Fox, C. R., & Sloman, S. A. (2013) · Psychological Science · doi:10.1177/0956797612464058 · Cited by 396 · see citing works
A review of feedback models and typologies: Towards an integrative model of feedback elements
Panadero, E., & Lipnevich, A. A. (2022) · Educational Research Review · doi:10.1016/j.edurev.2021.100416 · Cited by 389 · see citing works
The future of student self-assessment: a review of known unknowns and potential directions.
Panadero, E., Brown, G. T. L., & Strijbos, J.-W. (2016) · Educational Psychology Review · doi:10.1007/s10648-015-9350-2 · Cited by 388 · see citing works
Do boys with attention-deficit/hyperactivity disorder have positive illusory self-concepts?
Hoza, B., Pelham, W. E., Dobbs, J., Owens, J. S., & Pillow, D. R. (2002) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.111.2.268 · Cited by 359 · see citing works
Forming beliefs: Why valence matters
Sharot, T., & Garrett, N. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.002 · Cited by 345 · see citing works
The Science of Wisdom in a Polarized World: Knowns and Unknowns
Grossmann, I., Weststrate, N. M., Ardelt, M., Brienza, J. P., Dong, M., Ferrari, M., Fournier, M. A., Hu, C. S., Nusbaum, H. C., & Vervaeke, J. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1750917 · Cited by 330 · see citing works
The processes and dimensions of informed self-assessment: A conceptual model.
Sargeant, J., Armson, H., Chesluk, B., Dornan, T., Eva, K., Holmboe, E., Lockyer, J., Loney, E., Mann, K., & van der Vleuten, C. (2010) · Academic Medicine · doi:10.1097/acm.0b013e3181d85a4e · Cited by 318 · see citing works
Metacognitive awareness of learning strategies in undergraduates
McCabe, J. (2011) · Memory & Cognition · doi:10.3758/s13421-010-0035-2 · Cited by 308 · see citing works
Implicit bias in healthcare: clinical practice, research and decision making
Gopal, D. P., Chetty, U., O'Donnell, P., Gajria, C., & Blackadder-Weinstein, J. (2021) · Future Healthcare Journal · doi:10.7861/fhj.2020-0233 · Cited by 298 · see citing works
Sargeant, J., Lockyer, J., Mann, K., Holmboe, E., Silver, I., Armson, H., Driessen, E., MacLeod, T., Yen, W., Ross, K., et al. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000809 · Cited by 306 · see citing works
If at first you don't succeed: False hopes of self-change.
Polivy, J., & Herman, C. P. (2002) · American Psychologist · doi:10.1037/0003-066x.57.9.677 · Cited by 312 · see citing works
HODGES, B., REGEHR, G., & MARTIN, D. (2001) · Academic Medicine · doi:10.1097/00001888-200110001-00029 · Cited by 280 · see citing works
Self‐knowledge of personality: Do people know themselves?
Vazire, S., & Carlson, E. N. (2010) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2010.00280.x · Cited by 265 · see citing works
The multicultural orientation framework: A narrative review.
Davis, D. E., DeBlaere, C., Owen, J., Hook, J. N., Rivera, D. P., Choe, E., Van Tongeren, D. R., Worthington, E. L., & Placeres, V. (2018) · Psychotherapy · doi:10.1037/pst0000160 · Cited by 256 · see citing works
Douglas, K. M., & Sutton, R. M. (2008) · The Journal of Social Psychology · doi:10.3200/socp.148.2.210-222 · Cited by 247 · see citing works
Four principles of explainable artificial intelligence
Phillips, P. J., Hahn, C. A., Fontana, P. C., Yates, A. N., Greene, K., Broniatowski, D. A., & Przybocki, M. A. (2021) · doi:10.6028/nist.ir.8312 · Cited by 262 · see citing works
AI model GPT-3 (dis)informs us better than humans
Spitale, G., Biller-Andorno, N., & Germani, F. (2023) · Science Advances · doi:10.1126/sciadv.adh1850 · Cited by 241 · see citing works
Mind-Reading and Metacognition: Narcissism, not Actual Competence, Predicts Self-Estimated Ability
Ames, D. R., & Kammrath, L. K. (2004) · Journal of Nonverbal Behavior · doi:10.1023/b:jonb.0000039649.20015.0e · Cited by 238 · see citing works
The Concept of eHealth Literacy and Its Measurement: German Translation of the eHEALS
Soellner, R., Huber, S., & Reder, M. (2014) · Journal of Media Psychology · doi:10.1027/1864-1105/a000104 · Cited by 184 · see citing works
Mahmood, K., & University of the Punjab (2016) · Comminfolit · doi:10.15760/comminfolit.2016.10.2.24 · Cited by 212 · see citing works
The representation of self and person knowledge in the medial prefrontal cortex
Wagner, D. D., Haxby, J. V., & Heatherton, T. F. (2012) · WIREs Cognitive Science · doi:10.1002/wcs.1183 · Cited by 201 · see citing works
Chiu, M. M., & Klassen, R. M. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2008.11.002 · Cited by 202 · see citing works
Mah, D.-K., & Groß, N. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00490-1 · Cited by 218 · see citing works
“Furthermore, our analysis was based on self-reporting, so misreporting, overestimation, and underestimation (Kruger & Dunning, 1999) cannot be completely ruled out.”
Exploring the divergence between self-assessment and self-monitoring
Eva, K. W., & Regehr, G. (2011) · Advances in Health Sciences Education · doi:10.1007/s10459-010-9263-2 · Cited by 194 · see citing works
Gignac, G. E., & Zajenkowski, M. (2020) · Intelligence · doi:10.1016/j.intell.2020.101449 · Cited by 183 · see citing works
Gender and socioeconomic related differences in performance based ICT competences
Aesaert, K., & van Braak, J. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.12.017 · Cited by 188 · see citing works
Learning with ChatGPT 3.5 as a more knowledgeable other: an autoethnographic study
Stojanov, A. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00404-7 · Cited by 169 · see citing works
Fooled twice: People cannot detect deepfakes but think they can
Köbis, N. C., Doležalová, B., & Soraperra, I. (2021) · iScience · doi:10.1016/j.isci.2021.103364 · Cited by 193 · see citing works
“Directed” self-assessment: Practice and feedback within a social context
Sargeant, J., Mann, K., van der Vleuten, C., & Metsemakers, J. (2008) · Journal of Continuing Education in the Health Professions · doi:10.1002/chp.155 · Cited by 158 · see citing works
Improving metacognition in the classroom through instruction, training, and feedback
Callender, A. A., Franco-Watkins, A. M., & Roberts, A. S. (2016) · Metacognition and Learning · doi:10.1007/s11409-015-9142-6 · Cited by 161 · see citing works
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Hancock, B., Bordes, A., Mazare, P.-E., & Weston, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1358 · Cited by 161 · see citing works
Cognitive bias and how to improve sustainable decision making
Korteling, J. E. (., Paradies, G. L., & Sassen-van Meer, J. P. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1129835 · Cited by 143 · see citing works
Artificial intelligence hallucinations
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023) · Critical Care · doi:10.1186/s13054-023-04473-y · Cited by 136 · see citing works
Four Principles of Explainable Artificial Intelligence
Phillips, P. J., Hahn, C. A., Fontana, P. C., Broniatowski, D. A., & Przybocki, M. A. (2020) · doi:10.6028/nist.ir.8312-draft · Cited by 136 · see citing works
Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks
Lu, Z., & Yin, M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445562 · Cited by 131 · see citing works
The illusion of explanatory depth and endorsement of conspiracy beliefs
Vitriol, J. A., & Marsh, J. K. (2018) · European Journal of Social Psychology · doi:10.1002/ejsp.2504 · Cited by 118 · see citing works
Tai, J. H.-M., Canny, B. J., Haines, T. P., & Molloy, E. K. (2016) · Advances in Health Sciences Education · doi:10.1007/s10459-015-9659-0 · Cited by 117 · see citing works
I can do better than your AI: expertise and explanations
Schaffer, J., O'Donovan, J., Michaelis, J., Raglin, A., & Höllerer, T. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces · doi:10.1145/3301275.3302308 · Cited by 119 · see citing works
Swedish teenagers’ difficulties and abilities to determine digital news credibility
Nygren, T., & Guath, M. (2019) · Nordicom Review · doi:10.2478/nor-2019-0002 · Cited by 114 · see citing works
The headwinds/tailwinds asymmetry: An availability bias in assessments of barriers and blessings.
Davidai, S., & Gilovich, T. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000066 · Cited by 107 · see citing works
The impact of evidence reliability on sensitivity and bias in decision confidence.
Boldt, A., de Gardelle, V., & Yeung, N. (2017) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/xhp0000404 · Cited by 110 · see citing works
On the Benefits of Seeking (and Avoiding) Help in Online Problem-Solving Environments
Roll, I., Baker, R. S. J. D., Aleven, V., & Koedinger, K. R. (2014) · Journal of the Learning Sciences · doi:10.1080/10508406.2014.883977 · Cited by 109 · see citing works
Overconfidence as dissonance reduction
Blanton, H., Pelham, B. W., DeHart, T., & Carvallo, M. (2001) · Journal of Experimental Social Psychology · doi:10.1006/jesp.2000.1458 · Cited by 106 · see citing works
Human Cognition Through the Lens of Social Engineering Cyberattacks
Montañez, R., Golob, E., & Xu, S. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01755 · Cited by 106 · see citing works
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
He, G., Kuiper, L., & Gadiraju, U. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581025 · Cited by 107 · see citing works
“also found that a training session to increase the skills of participants is highly successful in mitigating such effect [43].”
InfluentialAllmann, K., & Blank, G. (2021) · Information, Communication & Society · doi:10.1080/1369118x.2021.1874475 · Cited by 92 · see citing works
Gezer-Templeton, P. G., Mayhew, E. J., Korte, D. S., & Schmidt, S. J. (2017) · Journal of Food Science Education · doi:10.1111/1541-4329.12103 · Cited by 91 · see citing works
Knowing what you know: Intellectual humility and judgments of recognition memory
Deffler, S. A., Leary, M. R., & Hoyle, R. H. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.03.016 · Cited by 89 · see citing works
A Checklist to Combat Cognitive Biases in Crowdsourcing
Draws, T., Rieger, A., Inel, O., Gadiraju, U., & Tintarev, N. (2021) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v9i1.18939 · Cited by 86 · see citing works
Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors
van Berkel, N., Goncalves, J., Russo, D., Hosio, S., & Skov, M. B. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445365 · Cited by 84 · see citing works
Naguib, M., Brull, S. J., Hunter, J. M., Kopman, A. F., Fülesdi, B., Johnson, K. B., & Arkes, H. R. (2019) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000003714 · Cited by 82 · see citing works
Zimmermann, J., Benecke, C., Hörz, S., Rentrop, M., Peham, D., Bock, A., Wallner, T., Schauenburg, H., Frommer, J., Huber, D., et al. (2013) · Diagnostica · doi:10.1026/0012-1924/a000076 · Cited by 82 · see citing works
Dijksterhuis, M. G. K., Schuwirth, L. W. T., Braat, D. D. M., Teunissen, P. W., & Scheele, F. (2013) · Medical Teacher · doi:10.3109/0142159x.2012.756576 · Cited by 79 · see citing works
A systematic review of the evidence for telemedicine in burn care: With a UK perspective
Wallace, D. L., Hussain, A., Khan, N., & Wilson, Y. T. (2012) · Burns · doi:10.1016/j.burns.2011.09.024 · Cited by 75 · see citing works
Maloney, S., Storr, M., Paynter, S., Morgan, P., & Ilic, D. (2013) · Advances in Health Sciences Education · doi:10.1007/s10459-012-9355-2 · Cited by 74 · see citing works
Polychroniou, P. V. (2009) · Team Performance Management: An International Journal · doi:10.1108/13527590911002122 · Cited by 75 · see citing works
Yates, N., Gough, S., & Brazil, V. (2022) · Medical Teacher · doi:10.1080/0142159x.2022.2093704 · Cited by 67 · see citing works
Hammoud, M., Morgan, Edwards, Lyon, & White (2012) · Advances in Medical Education and Practice · doi:10.2147/amep.s20219 · Cited by 74 · see citing works
Confidence Calibration in a Multiyear Geopolitical Forecasting Competition
Moore, D. A., Swift, S. A., Minster, A., Mellers, B., Ungar, L., Tetlock, P., Yang, H. H. J., & Tenney, E. R. (2017) · Management Science · doi:10.1287/mnsc.2016.2525 · Cited by 74 · see citing works
(Hans) Korteling, J. E., & Toet, A. (2022) · Encyclopedia of Behavioral Neuroscience, 2nd edition · doi:10.1016/b978-0-12-809324-5.24105-9 · Cited by 65 · see citing works
Horowitz, M. C., & Kahn, L. (2024) · International Studies Quarterly · doi:10.1093/isq/sqae020 · Cited by 68 · see citing works
Measuring the active elements of cognitive-behavioral therapies
Cohen, Z. D., Barnes-Horowitz, N. M., Forbes, C. N., & Craske, M. G. (2023) · Behaviour Research and Therapy · doi:10.1016/j.brat.2023.104364 · Cited by 58 · see citing works
Danovitch, J. H., Fisher, M., Schroder, H., Hambrick, D. Z., & Moser, J. (2019) · Child Development · doi:10.1111/cdev.12960 · Cited by 50 · see citing works
GP supervisors’ experience in supporting self-regulated learning: a balancing act
Sagasser, M. H., Kramer, A. W. M., van Weel, C., & van der Vleuten, C. P. M. (2015) · Advances in Health Sciences Education · doi:10.1007/s10459-014-9561-1 · Cited by 43 · see citing works
Jia, W., Pan, L., & Neary, S. (2025) · Behavioral Sciences · doi:10.3390/bs15101348 · Cited by 45 · see citing works
“According to the Dunning–Kruger framework, individuals lacking genuine competence often fail to accurately evaluate their own abilities, leading those with low ability to overestimate themselves (Kruger & Dunning, 1999).”
Through the Newsfeed Glass: Rethinking Filter Bubbles and Echo Chambers
Figà Talamanca, G., & Arfini, S. (2022) · Philosophy & Technology · doi:10.1007/s13347-021-00494-z · Cited by 41 · see citing works
Salimzadeh, S., He, G., & Gadiraju, U. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3641905 · Cited by 41 · see citing works
Promoting metacognition in an allied health anatomy course
Cale, A. S., Hoffman, L. A., & McNulty, M. A. (2023) · Anatomical Sciences Education · doi:10.1002/ase.2218 · Cited by 35 · see citing works
“…disconnect, which is inconsistent with previous studies that have identified low- performing students as demonstrating the most significant metacognitive disconnect due to the Dunning- Kruger effect (Kruger & Dunning, 1999; Ehrlinger et al., 2008; Sawdon & Finn, 2014; Steuber et al., 2017).”
- Authors
- Kruger, J., & Dunning, D.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Cornell University (US)
- Venue
- Journal of Personality and Social Psychology
- Published
- 1999
- Volume
- 77
- Issue
- 6
- Pages
- 1121-1134
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2146006411
- Cited by
- 7,731
- References
- 56
- Citations by year
- 2026: 683 · 2025: 606 · 2024: 570 · 2023: 606 · 2022: 549 · 2021: 599 · 2020: 556 · 2019: 549 · 2018: 414 · 2017: 335 · 2016: 288 · 2015: 312 · 2014: 209 · 2013: 203 · 2012: 206
- FWCI
- 20.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service (R01-56072)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- overconfidence, self-assessment, metacognition, metacognitive skills, self-knowledge, overestimation of ability, metacognitive calibration, grammar, logic, skill deficits, self-awareness
- MeSH terms
- Cognition, Female, Humans, Intelligence, Language, Logic, Male, Problem Solving, Surveys and Questionnaires, Self-Assessment, Self Concept, Social Perception
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review