Hypothesized drivers of the bias blind spot—cognitive sophistication, introspection bias, and conversational processes
Open accessAbstract
Individuals often assess themselves as being less susceptible to common biases compared to others. This bias blind spot (BBS) is thought to represent a metacognitive error. In this research, we tested three explanations for the effect: The cognitive sophistication hypothesis posits that individuals who display the BBS more strongly are actually less biased than others. The introspection bias hypothesis posits that the BBS occurs because people rely on introspection more when assessing themselves compared to others. The conversational processes hypothesis posits that the effect is largely a consequence of the pragmatic aspects of the experimental situation rather than true metacognitive error. In two experiments (N = 1057) examining 18 social/motivational and cognitive biases, there was strong evidence of the BBS. Among the three hypotheses examined, the conversational processes hypothesis attracted the greatest support, thus raising questions about the extent to which the BBS is a metacognitive effect.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Unfamiliar neutral targets are already perceived as substantially more biased than the self.
“Moreover, because unfamiliar neutral targets are already perceived as substantially more biased than the self (Mandel et al., 2022; Pronin et al., 2002), both unfamiliarity and negative affect may lead to similar conclusions—that a target other is considerably more biased than oneself.”
From Everyone I Don’t Like Is Biased: Affective Evaluations and the Bias Blind Spot (2026) · cites this paper as Mandel et al., 2022
The Bias blind spot section reports that participants rated the average survey respondent as more susceptible to bias than themselves, with a medium overall effect. But the target was an average respondent, not a specifically unfamiliar, neutral individual; the Testing explanatory hypotheses section describes comparisons with specific others as a possibility for future research. The source therefore supports the self–other bias difference, but not that distinction about the target. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe Experiment 1 sample size of 660 was chosen based on prior work and sensitivity power analyses showing at least 80% power to detect a minimum effect size of = .113 for mixed ANOVAs and d = 0.28 for follow-up independent samples t-tests.
“This sample size was chosen on the basis of prior work on the bias blind spot (Mandel et al., 2022) with sensitivity power analyses using G*Power (Faul et al., 2007) revealing that this sample provided at least 80% power to detect a minimum effect size of = .113 for the conducted mixed ANOVAs and d = 0.28 for follow-up independent samples t-tests.”
From Everyone I Don’t Like Is Biased: Affective Evaluations and the Bias Blind Spot (2026) · cites this paper as Mandel et al., 2022
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971 · see citing works
Individual differences in adult decision-making competence.
Bruine de Bruin, W., Parker, A. M., & Fischhoff, B. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.5.938 · Cited by 906 · see citing works
Valuing thoughts, ignoring behavior: The introspection illusion as a source of the bias blind spot
Pronin, E., & Kugler, M. B. (2007) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2006.05.011 · Cited by 366 · cited 15× · see citing works
“Pronin and Kugler (2007) found a crossover pattern wherein participants reported relying more on “getting inside one’s head” (i.e., introspection) than “general behavioral tendencies” when judging themselves and the opposite tendency when judging others.”
InfluentialChandrashekar, S. P., Yeung, S. K., Yau, K. C., Cheung, C. Y., Agarwal, T. K., Wong, C. Y. J., Pillai, T., Thirlwell, T. N., Leung, W. N., Tse, C., et al. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008470 · Cited by 11 · see citing works
Flagged first, then by citations
Research works printed but not linked: 34
- Arkes, H. R. (2013). The consequences of the hindsight bias in medical decision making. Current Directions in Psychological Science, 22(5), 356-360.
- Baron, J., Scott, S., Fincher, K., & Metz, S. E. (2015). Why does the Cognitive Reflection Test (sometimes) predict utilitarian moral judgment (and other things)? Journal of Applied Research in Memory and Cognition, 4(3), 265-284.
- Bornstein, B. H., & Emler, A. C. (2001). Rationality in medical decision making: A review of the literature on doctors' decision-making biases. Journal of Evaluation in Clinical Practice, 7(2), 97-107.
- Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119(2), 197-253.
- Cheung, G W., & Rensvold, R. B (2002). Evaluating Goodness of fit indexes for testing measurement invariance. Structural Equation Modelling: A Multidisciplinary Journal, 9, 233-255.
- Dhami, M. K., Belton, I. K., & Mandel, D. R. (2019). The "analysis of competing hypotheses" in intelligence analysis. Applied Cognitive Psychology, 33(6), 1080-1090.
- Ehrlinger, J, Gilovich, T., & Ross, L. (2005). Peering into the bias blind spot: people's assessments of bias in themselves and others. Personality and Social Psychology Bulletin, 31(5), 680-692.
- Elashi, F. B., & Mills, C. M. (2015). Developing the bias blind spot: Increasing skepticism towards others. PLoS ONE, 10(11): e0141809. https://doi.org/10.1371/journal.pone.0141809 · DOI
- Evans, J. S. B., Barston, J. L., & Pollard, P. (1983). On the conflict between logic and belief in syllogistic reasoning. Memory & Cognition, 11(3), 295-306.
- Evans, J. S. B., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8(3), 223-241.
- Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25-42.
- Gilovich, T., Griffin, D., & Kahneman, D. (Eds.) (2002). Heuristics and biases: The psychology of intuitive judgement. Cambridge University Press.
- Hagá, S., Olson, K. R., & Garcia-Marques, L. (2018). The bias blind spot across childhood. Social Cognition, 36(6), 671-708.
- Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd edition). The Guilford Press.
- Hilton, D. J. (1995). The social context of reasoning: Conversational inference and rational judgment. Psychological Bulletin, 118, 248-271.
- Hooper, D., Couglan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60.
- Jones, K. A., Crozier, W. E., & Strange, D. (2018). Objectivity is a myth for you but not for me or police: A bias blind spot for viewing and remembering criminal events. Psychology, Public Policy, and Law, 24(2), 259-270.
- Kahneman, D., Slovic, P., & Tversky, A. (Eds.). (1982). Judgement under uncertainty: Heuristics and biases. Cambridge University Press.
- Kassin, S. M., Dror, I. E., & Kukucka, J. (2013). The forensic confirmation bias: Problems, perspectives, and proposed solutions. Journal of Applied Research in Memory and Cognition, 2(1), 42-52.
- Kline, R. B. (2005). Methodology in the social sciences. Principles and practice of structural equation modeling (2nd ed.). Guilford Press.
- Kukucka, J., Kassin, S. M., Zapf, P. A., & Dror, I. E. (2017). Cognitive bias and blindness: A global survey of forensic science examiners. Journal of Applied Research in Memory and Cognition, 6(4), 452-459.
- Littrell, S., & Fugelsang, J. A. (2021). The 'bullshit blind spot': The roles of overconfidence and perceived information processing in bullshit detection. Manuscript submitted for publication. PsyArxiv, https://psyarxiv.com/kbfrz/
- Mandel, D. R., Collins, R. N., Risko, E. F., & Fugelsang, J. A. (2020). Effect of confidence interval construction on judgment accuracy. Judgment and Decision Making, 15(5), 783- 797.
- Morewedge, C. K., Yoon, H., Scopelliti, I., Symborski, C. W., Korris, J. H., & Kassam, K. S. (2015). Debiasing decisions: Improved decision making with a single training intervention. Policy Insights from the Behavioral and Brain Sciences, 2(1), 129-140.
- Pronin, E., Berger, J. & Molouki, S. (2007). Alone in a crowd of sheep: Asymmetric perceptions of conformity and their roots in an introspection illusion. Journal of Personality and Social Psychology, 92(4), 585-595.
- Pronin, E., Lin, D. Y., & Ross, L. (2002). The bias blind spot: Perceptions of bias in self versus others. Personality and Social Psychology Bulletin, 28(3), 369-381.
- Pronin, E., Gilovich, T., & Ross, L. (2004). Objectivity in the eye of the beholder: Divergent perceptions of bias in self versus others. Psychological Review, 111(3), 781-799.
- Raoelison, M., Boissin, E., Borst, G., & De Neys, W. (2021). From slow to fast logic: The development of logical intuitions. Thinking & Reasoning, 27(4), 599-622.
- Reeves, T., & Lockhart, R. (1993). Distributional versus singular approaches to probability and errors in probabilistic reasoning. Journal of Experimental Psychology: General, 122, 207 - 226.
- Revelle, W., & Condon, D. M. (2019). Reliability from α to ω: A tutorial. Psychological Assessment, 31(12), 1395-1411.
- Scopelliti, I., Morewedge, C. K., McCormick, E., Min, H. L., Lebrecht, S., & Kassam, K. S. (2015). Bias blind spot: Structure, measurement, and consequences. Management Science, 61(10), 2468-2486.
- Stanovich, K. E., & West, R. F. (1997). Reasoning independently of prior belief and individual differences in actively open-minded thinking. Journal of Educational Psychology, 89(2), 342-357.
- Stanovich, K. E., & West, R. F. (1998). Individual differences in rational thought. Journal of Experimental Psychology: General, 127(2), 161-188.
- Stanovich, K. E., & West, R. F. (2008). On the relative independence of thinking biases and cognitive ability. Journal of Personality and Social Psychology, 94(4), 672-695.
Cited by
Sorted by citations
Everyone I Don’t Like Is Biased: Affective Evaluations and the Bias Blind Spot
Walker, A. C., Collins, R. N., Walker, H. E. K., Fugelsang, J. A., & Mandel, D. R. (2026) · Personality and Social Psychology Bulletin · doi:10.1177/01461672261439247 · Cited by 2 · see citing works
Self-citation
- Authors
- Mandel, D. R., Collins, R. N., Walker, A. C., Fugelsang, J. A., & Risko, E. F.
- Affiliations
- Defence Research and Development Canada (CA)
- Corresponding author
- Mandel, David R.
- Venue
- Judgment and Decision Making
- Publisher
- Cambridge University Press (CUP)
- Published
- 2022-11
- Volume
- 17
- Issue
- 6
- Pages
- 1392-1421
- ISSN
- 1930-2975 (ISSN-L)
- OpenAlex
- W4313423669
- Cited by
- 10
- References
- 4
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2023: 5
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Judgment and Decision Making (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OSF Preprints (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Psychology of Moral and Emotional Judgment
- Keywords
- bias blind spot, metacognition, cognitive sophistication, cognitive biases, motivational biases, social bias
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