Blaming luck, claiming skill: Self-attribution bias in error assignment

A new look at the statistical model identification

Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879 · see citing works

Highly accurate protein structure prediction with AlphaFold

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works

Mastering the game of Go with deep neural networks and tree search

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612 · see citing works

Hopelessness depression: A theory-based subtype of depression.

Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989) · Psychological Review · doi:10.1037//0033-295x.96.2.358 · Cited by 3,722 · see citing works

A neural system for error detection and compensation

Gehring, W. J., Goss, B., Coles, M. G. H., Meyer, D. E., & Donchin, E. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00586.x · Cited by 2,862 · see citing works

A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion

Symonds, M. R. E., & Moussalli, A. (2010) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-010-1037-6 · Cited by 2,554 · see citing works

Failure to escape traumatic shock.

Seligman, M. E., & Maier, S. F. (1967) · Journal of Experimental Psychology · doi:10.1037/h0024514 · Cited by 1,981 · 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

How to measure metacognition

Fleming, S. M., & Lau, H. C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00443 · Cited by 1,386 · see citing works

Learned Helplessness

Seligman, M. E. P. (1972) · Annual Review of Medicine · doi:10.1146/annurev.me.23.020172.002203 · Cited by 1,160 · see citing works

Attribution of success and failure revisited, or: The motivational bias is alive and well in attribution theory

Zuckerman, M. (1979) · Journal of Personality · doi:10.1111/j.1467-6494.1979.tb00202.x · Cited by 1,136 · see citing works

A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings

Maniscalco, B., & Lau, H. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2011.09.021 · Cited by 883 · see citing works

An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment

Nassar, M. R., Wilson, R. C., Heasly, B. S., & Gold, J. I. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0822-10.2010 · Cited by 564 · see citing works

The Importance of Falsification in Computational Cognitive Modeling

Palminteri, S., Wyart, V., & Koechlin, E. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.011 · Cited by 448 · see citing works

Neural prediction errors reveal a risk-sensitive reinforcement-learning process in the human brain

Niv, Y., Edlund, J. A., Dayan, P., & O'Doherty, J. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5498-10.2012 · Cited by 356 · 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

HMeta-d: hierarchical Bayesian estimation of metacognitive efficiency from confidence ratings

Fleming, S. M. (2017) · Neuroscience of Consciousness · doi:10.1093/nc/nix007 · Cited by 314 · see citing works

Exploring Causes of the Self‐serving Bias

Shepperd, J. A., Malone, W., & Sweeny, K. M. (2008) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2008.00078.x · Cited by 313 · see citing works

Behavioural and neural characterization of optimistic reinforcement learning

Lefebvre, G., Lebreton, M. P., Meyniel, F., Bourgeois‐Gironde, S., & Palminteri, S. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0067 · Cited by 291 · see citing works

Dissociable Effects of Dopamine and Serotonin on Reversal Learning

den Ouden, H. E. M., Daw, N. D., Fernández, G., Elshout, J. A., Rijpkema, M., Hoogman, M., Franke, B., & Cools, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.030 · Cited by 259 · see citing works

Metacognition and Confidence: A Review and Synthesis

Fleming, S. M. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022423-032425 · Cited by 256 · see citing works

Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing

Palminteri, S., Lefebvre, G., Kilford, E. J., & Blakemore, S. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005684 · Cited by 230 · see citing works

Value-guided remapping of sensory cortex by lateral orbitofrontal cortex

Banerjee, A., Parente, G., Teutsch, J., Lewis, C., Voigt, F. F., & Helmchen, F. (2020) · Nature · doi:10.1038/s41586-020-2704-z · Cited by 199 · see citing works

Explicit representation of confidence informs future value-based decisions

Folke, T., Jacobsen, C., Fleming, S. M., & Martino, B. D. (2016) · Nature Human Behaviour · doi:10.1038/s41562-016-0002 · Cited by 155 · see citing works

Reinforcement learning: Computational theory and biological mechanisms

Doya, K. (2007) · HFSP journal · doi:10.2976/1.2732246 · Cited by 150 · see citing works

Neurocomputational mechanisms of prior-informed perceptual decision-making in humans

Kelly, S. P., Corbett, E. A., & O’Connell, R. G. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00967-9 · Cited by 145 · see citing works

Compulsivity reveals a novel dissociation between action and confidence

Vaghi, M. M., Luyckx, F., Sule, A., Fineberg, N. A., Robbins, T. W., & De Martino, B. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.006 · Cited by 145 · see citing works

Consumer Neuroscience: Past, Present, and Future

Karmarkar, U. R., & Plaßmann, H. (2017) · Organizational Research Methods · doi:10.1177/1094428117730598 · Cited by 144 · see citing works

Forming global estimates of self-performance from local confidence

Rouault, M., Dayan, P., & Fleming, S. M. (2019) · Nature Communications · doi:10.1038/s41467-019-09075-3 · Cited by 134 · see citing works

Do learning rates adapt to the distribution of rewards?

Gershman, S. J. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0790-3 · Cited by 131 · see citing works

The computational roots of positivity and confirmation biases in reinforcement learning

Palminteri, S., & Lebreton, M. P. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.04.005 · Cited by 127 · see citing works

Neurocognitive mechanisms of error-based motor learning

Seidler, R. D., Kwak, Y., Fling, B. W., & Bernard, J. A. (2013) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4614-5465-6_3 · Cited by 120 · see citing works

Gaze bias differences capture individual choice behaviour

Thomas, A. W., Molter, F., Krajbich, I. M., Heekeren, H. R., & Mohr, P. N. C. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0584-8 · Cited by 116 · see citing works

What Decision Neuroscience Teaches Us About Financial Decision Making

Bossaerts, P. L. (2009) · Annual Review of Financial Economics · doi:10.1146/annurev.financial.102708.141514 · Cited by 112 · see citing works

Variance misperception explains illusions of confidence in simple perceptual decisions

Zylberberg, A., Roelfsema, P. R., & Sigman, M. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.05.012 · Cited by 97 · see citing works

Contextual influence on confidence judgments in human reinforcement learning

Lebreton, M. P., Bacily, K., Palminteri, S., & Engelmann, J. B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006973 · Cited by 78 · see citing works

Neurophysiological mechanisms of error monitoring in human and non-human primates

Fu, Z., Sajad, A., Errington, S. P., Schall, J. D., & Rutishauser, U. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00670-w · Cited by 71 · see citing works

Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning

Kim, D., Park, G. Y., O’Doherty, J. P., & Lee, S. W. (2019) · Nature Communications · doi:10.1038/s41467-019-13632-1 · Cited by 64 · see citing works

Causal Inference About Good and Bad Outcomes

Dorfman, H. M., Bhui, R., Hughes, B., & Gershman, S. J. (2019) · Psychological Science · doi:10.1177/0956797619828724 · Cited by 56 · see citing works

Biased belief updating and suboptimal choice in foraging decisions

Garrett, N., & Daw, N. (2019) · bioRxiv · doi:10.1038/s41467-020-16964-5 · Cited by 55 · see citing works

Sensory perception relies on fitness-maximizing codes

Schaffner, J., Bao, S. D., Tobler, P. N., Hare, T. A., & Polanía, R. H. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01584-y · Cited by 54 · see citing works

Regulation of evidence accumulation by pupil-linked arousal processes

Keung, W., Hagen, T. A., & Wilson, R. C. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0551-4 · Cited by 48 · see citing works

Linking confidence biases to reinforcement-learning processes.

Salem-Garcia, N., Palminteri, S., & Lebreton, M. P. (2023) · Psychological Review · doi:10.1037/rev0000424 · Cited by 35 · see citing works

Metacognitive resources for adaptive learning⋆

Cortese, A. (2021) · Neuroscience Research · doi:10.1016/j.neures.2021.09.003 · Cited by 34 · see citing works

Humans actively sample evidence to support prior beliefs

Kaanders, P., Sepulveda, P., Folke, T., Ortoleva, P., & de Martino, B. (2022) · eLife · doi:10.7554/elife.71768 · Cited by 33 · see citing works

Rodents monitor their error in self-generated duration on a single trial basis

Kononowicz, T. W., van Wassenhove, V., & Doyère, V. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2108850119 · Cited by 31 · see citing works

Causal Inference Gates Corticostriatal Learning

Dorfman, H. M., Tomov, M., Cheung, B., Clarke, D., Gershman, S. J., & Hughes, B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2796-20.2021 · Cited by 15 · see citing works

Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task

Zamfir, E., & Dayan, P. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009920 · Cited by 9 · see citing works

Internality and the internalisation of failure: Evidence from a novel task

Mancinelli, F., Roiser, J. P., & Dayan, P. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009134 · Cited by 6 · see citing works

Controlling human causal inference through in silico task design

Lee, J. H., Heo, S., & Lee, S. W. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113702 · Cited by 6 · see citing works

Estimating self-performance when making complex decisions

Lu, X., Murawski, C., Bossaerts, P. L., & Suzuki, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-87601-8 · Cited by 4 · see citing works

When Good Luck Turns Against You: Evidence on Performance Responses to Noisy FeedbackPreprint

Arrigo, M., Gómez‐González, C., & Lang, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5730303

Decisions, outcomes, and learning from what didn’t go wrong

Azamfirei, R. (2026) · The Journal of Critical Care Medicine · doi:10.2478/jccm-2026-0019

Experimentation with Self-Serving Attribution Biases

Hestermann, N., & Yaouanq, Y. L. (2021) · American Economic Journal Microeconomics · doi:10.1257/mic.20180326 · Cited by 21 · see citing works

What to Blame? Self-Serving Attribution Bias with Multi-Dimensional Uncertainty

Coutts, A., Gerhards, L., & Murad, Z. (2024) · The Economic Journal · doi:10.1093/ej/ueae005 · Cited by 9 · see citing works

"Self-Serving" Attributions to Valenced Causal Factors

Taylor, J., & Riess, M. (1989) · Personality and Social Psychology Bulletin · doi:10.1177/0146167289153005 · Cited by 7 · see citing works

By chance or by choice? Biased attribution of others’ outcomesPreprint

Erkal, N., Gangadharan, L., & Koh, B. H. (n.d.) · RePEc: Research Papers in Economics

Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task

Zamfir, E., & Dayan, P. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009920 · Cited by 9 · see citing works