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The optimism bias
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In the citing paper
“it can lead people to underestimate their likelihood of contracting a disease 10”
From Using social and behavioural science to support COVID-19 pandemic response (2020) · cites this paper as [10]
In the citing paper
“When exposed to posi tive events, healthy individuals typically make the previous negative events irrelevant (Garrett and Sharot, 2017; Sharot, 2011).”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Sharot, 2011
In the citing paper
“Humans form and update their beliefs in an optimistic manner, i.e., people update desirable (better than expected) news into their beliefs but discount or ignore undesirable (worse than expected) news (2, 19, 21).”
From Distinct oxytocin effects on belief updating in response to desirable and undesirable feedback (2016) · cites this paper as [2]
In the citing paper
“depression, which is characterized by the lack of optimistic updating (2, 20).”
From Distinct oxytocin effects on belief updating in response to desirable and undesirable feedback (2016) · cites this paper as [2]
In the citing paper
“Whereas optimistic updating is adaptive for mental health”
From Distinct oxytocin effects on belief updating in response to desirable and undesirable feedback (2016) · cites this paper as [2]
In the citing paper
“excessive optimism, especially ignoring undesirable information, can be maladaptive (1, 2, 55)”
From Distinct oxytocin effects on belief updating in response to desirable and undesirable feedback (2016) · cites this paper as [2]
Citations
Cites
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
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
Manju Puri, B., & Robinson, D. T. (2007) · Journal of Financial Economics · doi:10.1016/j.jfineco.2006.09.003 · Cited by 980
Cognitive bias and affective state
Harding, E. J., Paul, E. S., & Mendl, M. (2004) · Nature · doi:10.1038/427312a · Cited by 835
How unrealistic optimism is maintained in the face of reality
Sharot, T., Korn, C. W., & Dolan, R. J. (2011) · Nature Neuroscience · doi:10.1038/nn.2949 · Cited by 729
Self-citationThe evolution of overconfidence
JOHNSON, D. D. P., & Fowler, J. H. (2011) · Nature · doi:10.1038/nature10384 · Cited by 649
McKay, R. T., & Dennett, D. C. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09990975 · Cited by 474
Depressive symptoms are associated with unrealistic negative predictions of future life events
Strunk, D. R., Lopez, H., & DeRubeis, R. J. (2006) · Behaviour Research and Therapy · doi:10.1016/j.brat.2005.07.001 · Cited by 307
Matheson, S. M., Asher, L., & Melissa Bateson, B. (2007) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2007.03.007 · Cited by 248
Human uniqueness and the denial of death
Varki, A. P. (2009) · Nature · doi:10.1038/460684c · Cited by 84
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Using social and behavioural science to support COVID-19 pandemic response
Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0884-z · Cited by 4,964
Lattimore, T., & Szepesvári, C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108571401 · Cited by 1,196
Golman, R., Hagmann, D., & Loewenstein, G. F. (2017) · Journal of Economic Literature · doi:10.1257/jel.20151245 · Cited by 835
How unrealistic optimism is maintained in the face of reality
Sharot, T., Korn, C. W., & Dolan, R. J. (2011) · Nature Neuroscience · doi:10.1038/nn.2949 · Cited by 729
Self-citationWise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C., & Mobbs, D. (2020) · Royal Society Open Science · doi:10.1098/rsos.200742 · Cited by 734
The evolution of overconfidence
JOHNSON, D. D. P., & Fowler, J. H. (2011) · Nature · doi:10.1038/nature10384 · Cited by 649
Emotion and language: Valence and arousal affect word recognition.
Kuperman, V., Estes, Z., Brysbaert, M., & Warriner, A. B. (2014) · Journal of Experimental Psychology General · doi:10.1037/a0035669 · Cited by 471
Adaptive constructive processes and the future of memory
Schacter, D. L. (2012) · American Psychologist · doi:10.1037/a0029869 · Cited by 417
“These findings are of interest with respect to the positivity bias that frequently characterizes future thinking (Sharot, 2011), because such biases have been linked to a number of adaptive processes, including emotional well-being, forming social bonds, productivity at work, and coping with stress effectively (e.”
BackgroundBuana, D. R. (2020) · SALAM Jurnal Sosial dan Budaya Syar i · doi:10.15408/sjsbs.v7i3.15082 · Cited by 395
How people decide what they want to know
Sharot, T., & Sunstein, C. R. (2020) · Nature Human Behaviour · doi:10.1038/s41562-019-0793-1 · Cited by 386
Self-citationTaking Stock of Unrealistic Optimism
Shepperd, J. A., Klein, W. M. P., Waters, E. A., & Weinstein, N. D. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691613485247 · Cited by 356
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
Self-citationKorn, C. W., Sharot, T., Walter, H., Heekeren, H. R., & Dolan, R. J. (2014) · Psychological Medicine · doi:10.1017/s0033291713001074 · Cited by 334
Self-citationThe evolution of error: error management, cognitive constraints, and adaptive decision-making biases
Johnson, D. D. P., Blumstein, D. T., Fowler, J. H., & Haselton, M. G. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.05.014 · Cited by 364
Seale, H., Heywood, A. E., Leask, J., Sheel, M., Thomas, S. L., Dürrheim, D. N., Bolsewicz, K., & Kaur, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235112 · Cited by 296
Dinev, T., McConnell, A. R., & Smith, H. J. (2015) · Information Systems Research · doi:10.1287/isre.2015.0600 · Cited by 277
Distorted Cognitive Processes in Major Depression: A Predictive Processing Perspective
Κube, T., Schwarting, R. K. W., Rozenkrantz, L., Glombiewski, J. A., & Rief, W. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.07.017 · Cited by 257
Generalised free energy and active inference
Parr, T., & Friston, K. J. (2019) · Biological Cybernetics · doi:10.1007/s00422-019-00805-w · Cited by 236
“…that prior beliefs distort beliefs about future and that this optimism about the future propagates backwards in time to influence behaviour in an adaptive way (McKay and Dennett 2010; Sharot 2011), is highly consistent with an influence of beliefs about the future over beliefs about the present.”
BackgroundActive inference on discrete state-spaces: A synthesis
Da Costa, L., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. (2020) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2020.102447 · Cited by 226
The Study of Bias in Entrepreneurship
Zhang, S. X., & Cueto, J. (2015) · Entrepreneurship Theory and Practice · doi:10.1111/etap.12212 · Cited by 257
The three faces of overconfidence
Moore, D. A., & Schatz, D. (2017) · Social and Personality Psychology Compass · doi:10.1111/spc3.12331 · Cited by 224
Top Ten Behavioral Biases in Project Management: An Overview
Flyvbjerg, B. (2021) · Project Management Journal · doi:10.1177/87569728211049046 · Cited by 257
Active inference on discrete state-spaces: A synthesis
Costa, L. D., Parr, T., Sajid, N., Veselic, S., Neacsu, V., & Friston, K. J. (2020) · UCL Discovery (University College London) · Cited by 204
Happiness, stress, and age: how the U curve varies across people and places
Graham, C. L., & Pozuelo, J. R. (2016) · Journal of Population Economics · doi:10.1007/s00148-016-0611-2 · Cited by 198
Communicating science in politicized environments
Lupia, A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212726110 · Cited by 192
“A common result is that speakers become overconfident about the extent to which others are paying attention to them (34, 35).”
BackgroundMaking better decisions in groups
Bang, D., & Frith, C. (2017) · Royal Society Open Science · doi:10.1098/rsos.170193 · Cited by 210
Communicating sentiment and outlook reverses inaction against collective risks
Wang, Z., Jusup, M., Guo, H., Shi, L., Geček, S., Anand, M., Perc, M., Bauch, C. T., Kurths, J., Boccaletti, S., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1922345117 · Cited by 185
Antecedents and outcomes of health risk perceptions in tourism, following the COVID-19 pandemic
Godovykh, M., Pizam, A., & Bahja, F. (2021) · Tourism Review · doi:10.1108/tr-06-2020-0257 · Cited by 202
Attention, Reward, and Information Seeking
Gottlieb, J., Hayhoe, M., Hikosaka, O., & Rangel, A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3270-14.2014 · Cited by 168
RETRACTED: Global impacts of pre- and post-COVID-19 pandemic: Focus on socio-economic consequences
Mishra, N. T. P., Das, S. S., Yadav, S., Khan, W., Afzal, M. F., AlArifi, A. S., Kenawy, E.-R., Ansari, M. T., Hasnain, M. S., & Nayak, A. K. (2020) · Sensors International · doi:10.1016/j.sintl.2020.100042 · Cited by 191
“Moreover, the feeling quality of a person (for instance, constructive versus adverse) depends upon the type of information and thoughts shared by the individuals around [24,25].”
RetractedPublic communication trends after COVID-19
Alfonsi, C., Varazzani, C., Tan, E. H. Y., & Sullivan-Paul, M. (2022) · OECD working papers on public governance · doi:10.1787/cb4de393-en · Cited by 187
Diverse motives for human curiosity
Kobayashi, K., Ravaioli, S., Baranès, A., Woodford, M., & Gottlieb, J. P. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0589-3 · Cited by 157
Expert biases in technology foresight. Why they are a problem and how to mitigate them
Bonaccorsi, A. J., Apreda, R., & Fantoni, G. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119855 · Cited by 162
The dynamics and evolution of trust in business relationships
Huang, Y., & Wilkinson, I. (2013) · Industrial Marketing Management · doi:10.1016/j.indmarman.2013.02.016 · Cited by 183
Affect Recall Bias: Being Resilient by Distorting Reality
Colombo, D., Suso‐Ribera, C., Fernández‐Álvarez, J., Cipresso, P., García‐Palacios, A., Riva, G., & Botella, C. (2020) · Cognitive Therapy and Research · doi:10.1007/s10608-020-10122-3 · Cited by 176
Nikitas, A. (2018) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.04.022 · Cited by 152
Pasion, R., Paiva, T. O., Fernandes, C., & Barbosa, F. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.561785 · Cited by 153
Ethical leadership, trust in leader and creativity: The mediated mechanism and an interacting effect
Javed, B., Rawwas, M. Y. A., Khandai, S., Shahid, K., & Tayyeb, H. H. (2018) · Journal of Management & Organization · doi:10.1017/jmo.2017.56 · Cited by 146
Design for Existential Crisis in the Anthropocene Age
Light, A., Powell, A. B., & Shklovski, I. (2017) · International Conference on Communities and Technologies (C&T) · doi:10.1145/3083671.3083688 · Cited by 143
When Beliefs Face Reality: An Integrative Review of Belief Updating in Mental Health and Illness
Κube, T., & Rozenkrantz, L. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620931496 · Cited by 165
The Neural Basis of Optimism and Pessimism
Hecht, D. (2013) · Experimental Neurobiology · doi:10.5607/en.2013.22.3.173 · Cited by 160
Smith, R. S., Parr, T., & Friston, K. J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02844 · Cited by 133
Kobashi, T., Yoshida, T., Yamagata, Y., Naito, K., Pfenninger, S., Say, K., Takeda, Y., Ahl, A., Yarime, M., & Hara, K. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115419 · Cited by 129
Emerging Directions in Emotional Episodic Memory
Dolcos, F., Katsumi, Y., Weymar, M., Moore, M., Tsukiura, T., & Dolcos, S. M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01867 · Cited by 133
Light, A., Shklovski, I., & Powell, A. B. (2017) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3027063.3052760 · Cited by 123
Yang, K. (2020) · Public Administration Review · doi:10.1111/puar.13248 · Cited by 120
Fear of climate change consequences and predictors of intentions to alter meat consumption
Hunter, E., & Röös, E. (2016) · Food Policy · doi:10.1016/j.foodpol.2016.06.004 · Cited by 122
Gershman, S. J. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1488-8 · Cited by 126
Optimistic update bias holds firm: three tests of robustness following Shah et al
Garrett, N., & Sharot, T. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2016.10.013 · Cited by 123
Self-citationHow do we handle new health risks? Risk perception, optimism, and behaviors regarding the H1N1 virus
Rudisill, C. (2013) · Journal of Risk Research · doi:10.1080/13669877.2012.761271 · Cited by 114
Kittel, B., Kritzinger, S., Boomgaarden, H. G., Prainsack, B., Eberl, J., Kalleitner, F., Lebernegg, N. S., Partheymüller, J., Plescia, C., Schiestl, D. W., et al. (2020) · European Political Science · doi:10.1057/s41304-020-00294-7 · Cited by 114
The Role of User Behaviour in Improving Cyber Security Management
Moustafa, A. A., Bello, A., & Maurushat, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.561011 · Cited by 95
How autonomy is understood in discussions on the ethics of nudging
Vugts, A., van den Hoven, M., de Vet, E., & Verweij, M. F. (2018) · Behavioural Public Policy · doi:10.1017/bpp.2018.5 · Cited by 109
“Human beings can, for example, be illogically optimistic (Sharot, 2011), which make them underestimate the chances of something bad happening to them (such as the chance of getting harmed in a car accident).”
BackgroundGratitude in the UK: A new prototype analysis and a cross-cultural comparison
Morgan, B. E., Gulliford, L., & Kristjansson, K. R. (2014) · The Journal of Positive Psychology · doi:10.1080/17439760.2014.898321 · Cited by 113
The biological effects of acute psychosocial stress on delay discounting
Kimura, K., Izawa, S., Sugaya, N., Ogawa, N., Yamada, K. C., Shirotsuki, K., Mikami, I., Hirata, K., Nagano, Y., & Hasegawa, T. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.04.019 · Cited by 108
Antimicrobial use in agriculture: critical review of the factors influencing behaviour
McKernan, C., Benson, T., Farrell, S., & Dean, M. (2021) · JAC-Antimicrobial Resistance · doi:10.1093/jacamr/dlab178 · Cited by 103
Disclosure: Psychology Changes EverythingPreprint
Loewenstein, G. F., Sunstein, C. R., & Golman, R. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2312708 · Cited by 102
Risk perception and optimism during the early stages of the COVID-19 pandemic
Kuper-Smith, B. J., Doppelhofer, L. M., Oganian, Y., Rosenblau, G., & Korn, C. W. (2021) · Royal Society Open Science · doi:10.1098/rsos.210904 · Cited by 104
Adaptive properties of differential learning rates for positive and negative outcomes
Cazé, R. D., & van der Meer, M. A. A. (2013) · Biological Cybernetics · doi:10.1007/s00422-013-0571-5 · Cited by 103
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
Smith, R. S., Schwartenbeck, P., Parr, T., & Friston, K. J. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2020.00041 · Cited by 119
Saijo, T. (2020) · Sustainability · doi:10.3390/su12166467 · Cited by 99
Behavioral Science and Public Policy
Sunstein, C. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108973144 · Cited by 98
The political effects of emergency frames in sustainability
Patterson, J., Wyborn, C. A., Westman, L. K., Brisbois, M. C., Milkoreit, M., & Jayaram, D. (2021) · Nature Sustainability · doi:10.1038/s41893-021-00749-9 · Cited by 109
Rethinking post-traumatic stress disorder – A predictive processing perspective
Κube, T., Berg, M., Kleim, B., & Herzog, P. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.04.014 · Cited by 107
NEURAL CORRELATES OF EMOTIONAL MEMORIES: A REVIEW OF EVIDENCE FROM BRAIN IMAGING STUDIES
Dolcos, F., Denkova, E., & Dolcos, S. M. (2012) · PSYCHOLOGIA · doi:10.2117/psysoc.2012.80 · Cited by 89
Dimensions of decision-making: An evidence-based classification of heuristics and biases
Ceschi, A., Costantini, A., Sartori, R., Weller, J. A., & Fabio, A. D. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2018.07.033 · Cited by 104
da Cunha, D. T., de Rosso, V. V., Pereira, M. B., & Stedefeldt, E. (2019) · Food Research International · doi:10.1016/j.foodres.2019.108637 · Cited by 101
Behavioural response to the Covid-19 pandemic in South Africa
Kollamparambil, U., & Oyenubi, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250269 · Cited by 91
Kube, T., Rozenkrantz, L., Rief, W., & Barsky, A. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101829 · Cited by 91
Horrey, W. J., Lesch, M. F., Mitsopoulos-Rubens, E., & Lee, J. D. (2015) · Accident Analysis & Prevention · doi:10.1016/j.aap.2014.12.017 · Cited by 96
On evolutionary explanations of cognitive biases
Marshall, J. A. R., Trimmer, P. C., Houston, A. I., & McNamara, J. M. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.05.013 · Cited by 90
(Mis-)Predicted Subjective Well-Being Following Life Events
Odermatt, R., & Stutzer, A. (2018) · Journal of the European Economic Association · doi:10.1093/jeea/jvy005 · Cited by 89
Covid-19: implications for insurer risk management and the insurability of pandemic risk
Richter, A., & Wilson, T. C. (2020) · The Geneva Risk and Insurance Review · doi:10.1057/s10713-020-00054-z · Cited by 88
Daddaoua, N., Lopes, M. C., & Gottlieb, J. P. (2016) · Scientific Reports · doi:10.1038/srep20202 · Cited by 89
Food labels promote healthy choices by a decision bias in the amygdala
Fabian Grabenhorst, B., Schulte, F. P., Maderwald, S., & Brand, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.012 · Cited by 92
Mindsets Affect Risk Perception and Risk-Taking Behavior
Keller, L., & Gollwitzer, P. M. (2017) · Social Psychology · doi:10.1027/1864-9335/a000304 · Cited by 89
The cost performance of transportation projects: The fallacy of the Planning Fallacy account
Love, P., Sing, M. C. P., Ika, L. A., & Newton, S. (2019) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2019.02.004 · Cited by 67
Psychological inoculation strategies to fight climate disinformation across 12 countries
Spampatti, T., Hahnel, U. J. J., Trutnevyte, E., & Brosch, T. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01736-0 · Cited by 104
Optimistic and pessimistic biases: a primer for behavioural ecologists
Melissa Bateson, B. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.09.013 · Cited by 81
Behaviour of horses in a judgment bias test associated with positive or negative reinforcement
Freymond, S. B., Briefer, E. F., Zollinger, A., Allmen, Y. G.-V., Wyss, C., & Bachmann, I. (2014) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2014.06.006 · Cited by 80
Theory of and within foresight — “What does a theory of foresight even mean?”
Piirainen, K., & González, R. A. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.03.003 · Cited by 80
The Council of Psychological Advisers
Sunstein, C. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-081914-124745 · Cited by 80
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BackgroundReviewing cognitive distortions in managerial decision making
Abatecola, G., Caputo, A., & Cristofaro, M. (2018) · Journal of Management Development · doi:10.1108/jmd-08-2017-0263 · Cited by 86
Human responses to Covid-19: The role of optimism bias, perceived severity, and anxiety
Fragkaki, I., Maciejewski, D. F., Weijman, E. L., Feltes, J., & Cima, M. (2021) · Personality and Individual Differences · doi:10.1016/j.paid.2021.110781 · Cited by 79
Enhanced rationality in autism spectrum disorder
Rozenkrantz, L., D’Mello, A. M., & Gabrieli, J. D. E. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.05.004 · Cited by 88
Rizzo, M. J., & Whitman, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139061810 · Cited by 132
Optimism Bias during the Covid-19 Pandemic: Empirical Evidence from Romania and Italy
Druică, E., Musso, F., & Ianole-Călin, R. (2020) · Games · doi:10.3390/g11030039 · Cited by 79
Are Fear and Anxiety Truly Distinct?
Daniel‐Watanabe, L., & Fletcher, P. C. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.09.006 · Cited by 95
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Bavel, J. J. V., D, K. B. A., Boggio, P. S., Capraro, V., Cichocka, A. K., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4178356 · Cited by 89
Boothby, E. J., & Bohns, V. K. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220949003 · Cited by 82
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
Braig, N., Benz, A., Voth, S., Breitenbach, J., & Buettner, R. (2023) · IEEE Access · doi:10.1109/access.2023.3242234 · Cited by 98
Affective biases in English are bi-dimensional
Warriner, A. B., & Kuperman, V. (2014) · Cognition & Emotion · doi:10.1080/02699931.2014.968098 · Cited by 80
Konova, A. B., López-Guzmán, S., Urmanche, A. A., Ross, S., Louie, K., Rotrosen, J., & Glimcher, P. W. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4013 · Cited by 76
All Thinking is ‘Wishful’ Thinking
Kruglanski, A. W., Jaśko, K., & Friston, K. J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.03.004 · Cited by 76
Determinants and Measurement of Climate Change Risk Perception, Worry, and ConcernPreprint
van der Linden, S. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2953631 · Cited by 84
Optimism’s Explicative Role for Chronic Diseases
Avvenuti, G., Baiardini, I., & Giardini, A. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00295 · Cited by 83
An Integrated theory of false insights and beliefs under psychedelics
McGovern, H. T., Grimmer, H. J., Doss, M. K., Hutchinson, B. T., Timmermann, C., Lyon, A., Corlett, P. R., & Laukkonen, R. (2024) · Communications Psychology · doi:10.1038/s44271-024-00120-6 · Cited by 79
Beatty, T. K. M., Shimshack, J. P., & Volpe, R. (2018) · Journal of the Association of Environmental and Resource Economists · doi:10.1086/703379 · Cited by 68
Suicidal ideation among surgeons in Italy and Sweden – a cross-sectional study
Wall, M., Schenck-Gustafsson, K. G., Minucci, D., Sendén, M. G., Løvseth, L. T., & Fridner, A. (2014) · BMC Psychology · doi:10.1186/s40359-014-0053-0 · Cited by 68
Metacognitive training for psychosis (MCT): past, present, and future
Moritz, S., Menon, M., Balzan, R. P., & Woodward, T. S. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01394-9 · Cited by 67
Metadata
- Authors
- Sharot, T.
- Affiliations
- University College London (GB)
- Corresponding author
- Sharot, Tali
- ORCID
- Sharot, Tali
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 21
- Issue
- 23
- Pages
- R941-R945
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W4232964083
- Cited by
- 1,187
- References
- 10
- Citations by year
- 2026: 82 · 2025: 109 · 2024: 134 · 2023: 111 · 2022: 126 · 2021: 123 · 2020: 167 · 2019: 97 · 2018: 79 · 2017: 36 · 2016: 29 · 2015: 33 · 2014: 24 · 2013: 27 · 2012: 6
- FWCI
- 10.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Psychology › Applied Psychology › Optimism, Hope, and Well-being
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- optimism bias, future expectations, overconfidence, self-projection, cognitive biases, decision-making, behavioral economics
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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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