Seeing What You Want to See: How Imprecise Uncertainty Ranges Enhance Motivated Reasoning

The case for motivated reasoning.

Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022 · see citing works

Bayesian model selection in social research

Raftery, A. E. (1995) · Sociological Methodology · doi:10.2307/271063 · Cited by 6,823 · see citing works

Probable Inference, the Law of Succession, and Statistical Inference

Wilson, E. B. (1927) · Journal of the American Statistical Association · doi:10.1080/01621459.1927.10502953 · Cited by 4,476 · see citing works

The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks

Braman, D., Kahan, D. M., Peters, E. M., Wittlin, M., Slovic, P., Ouellette, L. L., & Mandel, G. N. (2012) · Scholarly Commons - George Washington University Law School (George Washington University) · Cited by 2,299 · see citing works

Risk and Culture: An Essay on the Selection of Technical and Environmental Dangers

Robbins, T., Douglas, M., & Wíldavsky, A. (1983) · Journal for the Scientific Study of Religion · doi:10.2307/1385678 · Cited by 1,666 · see citing works

Politicization of Science in the Public Sphere: A Study of Public Trust in the United States, 1974 to 2010

Gauchat, G. (2012) · American Sociological Review · doi:10.1177/0003122412438225 · Cited by 1,091 · see citing works

Scepticism and uncertainty about climate change: Dimensions, determinants and change over time

Whitmarsh, L. (2011) · Global Environmental Change · doi:10.1016/j.gloenvcha.2011.01.016 · Cited by 890 · see citing works

Culture and Identity-Protective Cognition: Explaining the White Male Effect in Risk Perception

Braman, D., Kahan, D. M., Gastil, J., Slovic, P., Mertz, C. K., & Mertz, C. K. (2007) · Cited by 812 · see citing works

Measuring Risk Literacy: The Berlin Numeracy Test

Cokely, E. T., Galešić, M., Schulz, E., Ghazal, S., & García‐Retamero, R. (2012) · Judgment and Decision Making · doi:10.1017/s1930297500001819 · Cited by 752 · see citing works

The Role of Affect and Worldviews as Orienting Dispositions in the Perception and Acceptance of Nuclear Power1

Peters, E. M., & Slovic, P. (1996) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1996.tb00079.x · Cited by 647 · see citing works

Communication and mental processes: Experiential and analytic processing of uncertain climate information

Marx, S. M., Weber, E. U., Orlove, B., Leiserowitz, A., Krantz, D. H., Roncoli, C., & Phillips, J. A. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.10.004 · Cited by 500 · see citing works

Development and Testing of an Abbreviated Numeracy Scale: A Rasch Analysis Approach

Weller, J. A., Dieckmann, N. F., Tusler, M., Mertz, C. K., Burns, W. J., & Peters, E. M. (2012) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1751 · Cited by 391 · see citing works

How do People Know?

Kuhn, D. (2001) · Psychological Science · doi:10.1111/1467-9280.00302 · Cited by 373 · see citing works

Empirical scaling of common verbal phrases associated with numerical probabilities

Lichtenstein, S., & Newman, J. R. (1967) · Psychonomic Science · doi:10.3758/bf03327890 · Cited by 313 · see citing works

A Newer Look: Motivated Social Cognition and the Schematic Representation of Social Concepts

Dunning, D. (1999) · Psychological Inquiry · doi:10.1207/s15327965pli1001_1 · Cited by 264 · see citing works

Effective Communication of Uncertainty in the IPCC Reports

Budescu, D. V., Por, H.-H., & Broomell, S. B. (2012) · Climatic Change · doi:10.1007/s10584-011-0330-3 · Cited by 261 · see citing works

Stretching the Truth: Elastic Justification and Motivated Communication of Uncertain Information

Schweitzer, M. E., & Hsee, C. K. (2002) · Journal of Risk and Uncertainty · doi:10.1023/a:1020647814263 · Cited by 254 · see citing works

Elastic Justification: How Tempting but Task-Irrelevant Factors Influence Decisions

Hsee, C. K. (1995) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1995.1054 · Cited by 247 · see citing works

Bringing meaning to numbers: The impact of evaluative categories on decisions.

Peters, E. M., Dieckmann, N. F., Västfjäll, D., Mertz, C. K., Slovic, P., & Hibbard, J. H. (2009) · Journal of Experimental Psychology Applied · doi:10.1037/a0016978 · Cited by 203 · see citing works

The views of scientific experts on how the public conceptualize uncertainty

Frewer, L. J., Hunt, S., Brennan, M., Kuznesof, S. A., Ness, M., & Ritson, C. (2003) · Journal of Risk Research · doi:10.1080/1366987032000047815 · Cited by 199 · see citing works

A review of human linguistic probability processing: General principles and empirical evidence

Wallsten, T. S., & Budescu, D. V. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900007256 · Cited by 161 · see citing works

The Use of Narrative Evidence and Explicit Likelihood by Decisionmakers Varying in Numeracy

Dieckmann, N. F., Slovic, P., & Peters, E. M. (2009) · Risk Analysis · doi:10.1111/j.1539-6924.2009.01279.x · Cited by 135 · see citing works

Motivated reasoning and verbal vs. numerical probability assessment: Evidence from an accounting context

Piercey, M. D. (2008) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2008.05.004 · Cited by 112 · see citing works

Verbal uncertainty expressions: A critical review of two decades of research

Clark, D. A. (1990) · Current Psychology · doi:10.1007/bf02686861 · Cited by 112 · see citing works

The Effects of Presenting Imprecise Probabilities in Intelligence Forecasts

Dieckmann, N. F., Mauro, R., & Slovic, P. (2010) · Risk Analysis · doi:10.1111/j.1539-6924.2010.01384.x · Cited by 54 · see citing works

At Home on the Range? Lay Interpretations of Numerical Uncertainty Ranges

Dieckmann, N., Peters, E., & Gregory, R. (2015) · Risk Analysis · doi:10.1111/risa.12358 · Cited by 52 · see citing works

Making sense of uncertainty: advantages and disadvantages of providing an evaluative structure

Dieckmann, N. F., Peters, E. M., Gregory, R., & Tusler, M. (2012) · Journal of Risk Research · doi:10.1080/13669877.2012.666760 · Cited by 38 · see citing works

g Factor: Issues of Design and Interpretation

Stankov, L. (2005) · Sage eBooks · doi:10.4135/9781452233529.n16 · Cited by 32 · see citing works

Forecasting: theory and practice

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R., Bijak, J., Boylan, J., et al. (2020) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2021.11.001 · Cited by 630 · see citing works

Communicating uncertainty about facts, numbers and science

van der Bles, A. M., van der Linden, S., Freeman, A. L. J., Mitchell, J., Galvao, A. B., Zaval, L., & Spiegelhalter, D. J. (2019) · Royal Society Open Science · doi:10.1098/rsos.181870 · Cited by 456 · see citing works

The effects of communicating uncertainty on public trust in facts and numbers

van der Bles, A. M., van der Linden, S., Freeman, A. L. J., & Spiegelhalter, D. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913678117 · Cited by 348 · see citing works

A review of the effects of uncertainty in public science communication

Gustafson, A., & Rice, R. E. (2020) · Public Understanding of Science · doi:10.1177/0963662520942122 · Cited by 291 · see citing works

Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles

Bonner, C., Trevena, L. J., Gaissmaier, W., Han, P. K. J., Okan, Y., Ozanne, E. M., Peters, E. M., Timmermans, D. R. M., & Zikmund‐Fisher, B. J. (2021) · Medical Decision Making · doi:10.1177/0272989x21996328 · Cited by 189 · see citing works

The Effects of Uncertainty Frames in Three Science Communication Topics

Gustafson, A., & Rice, R. E. (2019) · Science Communication · doi:10.1177/1075547019870811 · Cited by 151 · see citing works

Motivated reasoning and climate change

Bayes, R., & Druckman, J. N. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.02.009 · Cited by 135 · see citing works

Guidance on Communication of Uncertainty in Scientific Assessments

Hart, A., Maxim, L., Siegrist, M., von Goetz, N., da Cruz, C., Merten, C., Mosbach-Schulz, O., Lahaniatis, M., Smith, A., & Hardy, A. (2019) · EFSA journal. European Food Safety Authority · doi:10.2903/j.efsa.2019.5520 · Cited by 134 · see citing works

Communication of Scientific Uncertainty about a Novel Pandemic Health Threat: Ambiguity Aversion and Its Mechanisms

Han, P. K. J., Zikmund‐Fisher, B. J., Duarte, C. W., Knaus, M., Black, A. W., Scherer, A. M., & Fagerlin, A. (2018) · Journal of Health Communication · doi:10.1080/10810730.2018.1461961 · Cited by 120 · see citing works

Mapping the Landscape of COVID-19 Crisis Visualizations

Zhang, Y., Sun, Y., Padilla, L., Barua, S., Bertini, E., & Parker, A. G. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445381 · Cited by 72 · see citing works

Natural variability or climate change? Stakeholder and citizen perceptions of extreme event attribution

Osaka, S., & Bellamy, R. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102070 · Cited by 73 · see citing works

A framework for understanding reasoning errors: From fake news to climate change and beyond

Pennycook, G. (2022) · Advances in experimental social psychology · doi:10.1016/bs.aesp.2022.11.003 · Cited by 88 · see citing works

COP21 climate negotiators’ responses to climate model forecasts

Bosetti, V., Weber, E., Berger, L., Budescu, D., Liu, N., & Tavoni, M. (2017) · Nature Climate Change · doi:10.1038/nclimate3208 · Cited by 57 · see citing works

Mapping the Landscape of COVID-19 Crisis VisualizationsPreprint

Zhang, Y. (2021) · OSF Preprints (OSF Preprints) · Cited by 58 · see citing works

Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation

Xiong, C., Stokes, C., Kim, Y., & Franconeri, S. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209405 · Cited by 47 · see citing works

Public perceptions of expert disagreement: Bias and incompetence or a complex and random world?

Dieckmann, N. F., Johnson, B. B., Gregory, R., Mayorga, M. W., Han, P. K. J., & Slovic, P. (2015) · Public Understanding of Science · doi:10.1177/0963662515603271 · Cited by 45 · see citing works

Untangling Trustworthiness and Uncertainty in Science

Covitt, B. A., & Anderson, C. (2022) · Science Education · doi:10.1007/s11191-022-00322-6 · Cited by 38 · see citing works

Why do scientists disagree? Explaining and improving measures of the perceived causes of scientific disputes

Dieckmann, N. F., & Johnson, B. B. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211269 · Cited by 42 · see citing works

Negative consequences of failing to communicate uncertainties during a pandemic: an online randomised controlled trial on COVID-19 vaccines

Batteux, E., Bilovich, A., Johnson, S. G. B., & Tuckett, D. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-051352 · Cited by 43 · see citing works

Psychological Impact of Ambiguous Health Messages about COVID-19

Simonovic, N., & Taber, J. M. (2021) · Journal of Behavioral Medicine · doi:10.1007/s10865-021-00266-2 · Cited by 37 · see citing works

Forecasting forecaster accuracy: Contributions of past performance and individual differences

Himmelstein, M., Atanasov, P. D., & Budescu, D. V. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008597 · Cited by 28 · see citing works

How Do We Measure Trust in Visual Data Communication?

Elhamdadi, H., Gaba, A., Kim, Y., & Xiong, C. (2022) · IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) · doi:10.1109/beliv57783.2022.00014 · Cited by 28 · see citing works

Facilitating sender-receiver agreement in communicated probabilities: Is it best to use words, numbers or both?

Mandel, D. R., & Irwin, D. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008603 · Cited by 26 · see citing works

A framework for understanding reasoning errors: From fake news to climate change and beyondPreprint

Pennycook, G. (2022) · doi:10.31234/osf.io/j3w7d · Cited by 27 · see citing works

The Impact of Communicating Uncertainty on Public Responses to Precision Medicine Research

Ratcliff, C. L., Wong, B. G., Jensen, J. D., & Kaphingst, K. A. (2021) · Annals of Behavioral Medicine · doi:10.1093/abm/kaab050 · Cited by 24 · see citing works

Climate Scientists’ Wide Prediction Intervals May Be More Likely but Are Perceived to Be Less Certain

Løhre, E., Juanchich, M., Sirota, M., Teigen, K., & Shepherd, T. (2019) · Weather, Climate, and Society · doi:10.1175/wcas-d-18-0136.1 · Cited by 17 · see citing works

Deepfake detection with and without content warnings

Lewis, A., Vu, P., Duch, R. M., & Chowdhury, A. (2023) · Royal Society Open Science · doi:10.1098/rsos.231214 · Cited by 22 · see citing works

Characterizing public perceptions of social and cultural impacts in policy decisions

Dieckmann, N. F., Gregory, R., Satterfield, T. A., Mayorga, M. W., & Slovic, P. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2020491118 · Cited by 20 · see citing works

The wisdom of many in few: Finding individuals who are as wise as the crowd.

Himmelstein, M., Budescu, D. V., & Ho, E. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001340 · Cited by 19 · see citing works

Co-created Future Scenarios as a Tool to Communicate Sustainable Development in Coastal Communities in Palawan, Philippines

Richter, I., Sumeldan, J. D. C., Avillanosa, A. L., Gabe‐Thomas, E., Creencia, L. A., & Pahl, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.627972 · Cited by 17 · see citing works

Ability-related political polarization in the COVID-19 pandemic

Shoots‐Reinhard, B. L., Goodwin, R., Bjälkebring, P., Markowitz, D. M., Silverstein, M. C., & Peters, E. M. (2021) · Intelligence · doi:10.1016/j.intell.2021.101580 · Cited by 16 · see citing works

Talent Spotting in Crowd Prediction

Atanasov, P. D., & Himmelstein, M. (2023) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-031-30085-1_6 · Cited by 14 · see citing works

Empirical testing of the visualizations of climate change mitigation scenarios with citizens: A comparison among Germany, Poland, and France

Xexakis, G., & Trutnevyte, E. (2021) · Global Environmental Change · doi:10.1016/j.gloenvcha.2021.102324 · Cited by 15 · see citing works

The effect of uncertainty communication on public trust depends on belief–evidence consistency

Dries, C., McDowell, M., Schneider, C., & Rebitschek, F. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf071 · Cited by 14 · see citing works

Influence of psychological factors in food risk assessment – A review

Jenkins, S. C., Harris, A. J. L., & Osman, M. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.07.010 · Cited by 13 · see citing works

How people decide who is correct when groups of scientists disagree

Johnson, B. B., Mayorga, M. W., & Dieckmann, N. F. (2023) · Risk Analysis · doi:10.1111/risa.14204 · Cited by 11 · see citing works

Better decision making through objective numeracy and numeric self-efficacy

(2023) · Advances in experimental social psychology · doi:10.1016/bs.aesp.2023.03.002 · Cited by 9 · see citing works

Who is at risk of bias? Examining dispositional differences in motivated science reception

Altenmüller, M., & Poppe, L. (2024) · Public Understanding of Science · doi:10.1177/09636625241262611 · Cited by 4 · see citing works

Communicating the benefits and risks of inflammatory bowel disease therapy to patients and families

Picoraro, J. A., & Rosh, J. R. (2017) · Current Opinion in Pediatrics · doi:10.1097/mop.0000000000000524 · Cited by 6 · see citing works

A note on EFSA’s ongoing efforts to increase transparency of uncertainty in scientific opinions

Sahlin, U., & Troffaes, M. C. M. (2017) · Journal of Risk Research · doi:10.1080/13669877.2017.1313769 · Cited by 6 · see citing works

Attributions for ambiguity in a treatment‐decision context can create ambiguity aversion or seeking

Stuart, J. O., Windschitl, P. D., Miller, J. E., Smith, A. R., Zikmund‐Fisher, B. J., & Scherer, L. D. (2021) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2249 · Cited by 6 · see citing works

A systematic review of measurement uncertainty visualizations in the context of standardized assessments

Heltne, A., Frans, N., Hummelen, B., Falkum, E., Germans Selvik, S., & Paap, M. C. S. (2023) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12918 · Cited by 5 · see citing works

Mapping the Landscape of COVID-19 Crisis VisualizationsPreprint

Zhang, Y., Sun, Y., Padilla, L., Barua, S., Bertini, E., & Parker, A. G. (2020) · doi:10.31219/osf.io/kd3y9 · Cited by 5 · see citing works

Communication of Uncertainty in AI Regulations

Phutane, A. (2023) · Community Change · doi:10.21061/cc.v4i2.a.50 · Cited by 1 · see citing works

Using data visualizations as information communication tools during a crisis: a critical review

Mathaisel, D. F. X. (2024) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-06-2023-0080 · Cited by 7 · see citing works

Robust municipal decision making? A pilot study of applying robust decision making in three Swedish municipalities

Wester, M. (2021) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2021.1914560 · Cited by 5 · see citing works

Overcoming Knowledge Resistance: A Systematic Review of Experimental Studies

Ingre, M., Lindholm, T., & Strömbäck, J. (2022) · Routledge eBooks · doi:10.4324/9781003111474-14 · Cited by 4 · see citing works

Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP

Galvão, A. B., & Mitchell, J. (2023) · Journal of money credit and banking · doi:10.1111/jmcb.13044 · Cited by 4 · see citing works

Experiments in Lay Cues to the Relative Validity of Positions Taken by Disputing Groups of Scientists

Johnson, B. B. (2019) · Risk Analysis · doi:10.1111/risa.13298 · Cited by 4 · see citing works

Protest Under Uncertainty: Evidence from a Survey Experiment

Matejova, M., & Merkley, E. (2021) · Environmental Communication · doi:10.1080/17524032.2021.1974068 · Cited by 3 · see citing works

Measuring probabilistic coherence to identify superior forecasters

Ho, E., Budescu, D. V., & Himmelstein, M. (2024) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2024.02.005 · Cited by 3 · see citing works

Epistemologies of Data Visualisations: On Producing Certainties, Geographies and Digitalities in Critical Educational Research

Hillman, T., Macgilchrist, F., & Kiesewetter, S. (2023) · On Education Journal for Research and Debate · doi:10.17899/on_ed.2023.18.3 · Cited by 2 · see citing works

Testing Psychological Correlates of Ambiguity Aversion in the Context of COVID-19 Vaccination: Evidence for Motivated Reasoning and the Appraisal-Tendency Framework

Simonovic, N., Gesser‐Edelsburg, A., & Taber, J. M. (2025) · Behavioral Medicine · doi:10.1080/08964289.2025.2497808 · Cited by 2 · see citing works

Examining the Relationship Between Perceived Ambiguity and Predictors of Health Behavior Across Three Contexts: The COVID-19 Pandemic, Antibiotic Regimens, and e-Cigarette Use

Simonovic, N., & Taber, J. M. (2025) · Health Communication · doi:10.1080/10410236.2025.2540061 · Cited by 2 · see citing works

The “bread and butter” of science: understanding how scientists communicate uncertainties

Roney, C., Egelhofer, J. L., & Lecheler, S. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-07026-0 · Cited by 1 · see citing works

Managing per- and polyfluoroalkyl substances (PFAS) risk amid uncertainty: Personal relevance, conflicting information, and communication behaviors

Liu, Z., & Yang, J. Z. (2025) · Journal of Health Psychology · doi:10.1177/13591053251338341 · Cited by 3 · see citing works

Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP

Galvão, A., & Mitchell, J. (2021) · Working paper (Federal Reserve Bank of Cleveland) · doi:10.26509/frbc-wp-202128 · Cited by 2 · see citing works

Communicating Climate Risk: A ToolkitPreprint

Walton, J. L., Levontin, P., Barons, M. J., Workman, M. H. W., Mackie, E., & Kleineberg, J. (2022) · doi:10.33774/coe-2021-mrx1f-v3 · Cited by 2 · see citing works

Measuring the effectiveness of counter-disinformation strategies in the Czech security forces

Matejova, M., Drmola, J., & Spáč, P. (2024) · European Security · doi:10.1080/09662839.2024.2362153 · Cited by 2 · see citing works

Overcoming ideology-consistent biases: does it help to make things easier?

Gustafsson, P. U., Lindholm, T., Isohanni, F., Svenson, O., & Appelbom, S. (2025) · Judgment and Decision Making · doi:10.1017/jdm.2024.44 · Cited by 1 · see citing works

Context Matters: Emotional Sensitivity to Probabilities and the Bias for Action in Cancer Treatment Decisions

Lacey, H. P., Lacey, S. C., Dayal, P., Forest, C., & Blasi, D. (2023) · Medical Decision Making · doi:10.1177/0272989x231161341 · Cited by 1 · see citing works

What the Judge Argues is Not What the Judge Thinks – Eye Tracking as a Window into Judicial Decision MakingPreprint

Engel, C., & Rahal, R.-M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3526696 · Cited by 1 · see citing works

The Forecasting Proficiency Test: A General Use Assessment of Forecasting AbilityPreprint

Himmelstein, M., Zhu, S. M., Petrov, N., Karger, E., Helmer, J., Livnat, S., Bennett, A., Hedley, P., & Tetlock, P. (2024) · doi:10.31234/osf.io/a7kdx · Cited by 1 · see citing works

Health communication in the blogosphere : rethinking source and message strategies for "hot cognition" publics

Myers, D. (2017) · doi:10.32469/10355/62321

Use of Traditional and Culturally Appropriate Modalities

Dellinger, M., & Dellinger, J. B. (2018) · Springer eBooks · doi:10.1007/978-3-319-94108-0_9

Public trust, perceived accuracy, perceived likelihood, and concern on multi-model climate projections communicated with different formats

Fujimi, T., Watanabe, M., & Tatano, H. (2021) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-021-09950-9 · Cited by 1 · see citing works

There is a very remote chance of inciting fear: The effects of magnitude and modal probability phrases on decision-making

LaCour, M. (2021) · ThinkTech (Texas Tech University)

Communicating Climate Risk: A ToolkitPreprint

Walton, J. L., Levontin, P., Barons, M. J., Workman, M. H. W., Mackie, E., & Kleineberg, J. (2021) · doi:10.33774/coe-2021-mrx1f-v2

Proactive Preparation for Crisis DecisionsPreprint

Keeney, R. L., Gregory, R., & Slovic, P. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4054434

Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDPPreprint

Galvão, A. B., & Mitchell, J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3992626

Communicating Climate Risk: A ToolkitPreprint

Walton, J. L., Levontin, P., Barons, M. J., Workman, M. H. W., Mackie, E., & Kleineberg, J. (2021) · doi:10.33774/coe-2021-mrx1f

Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP

Galvão, A. B., & Mitchell, J. (2022) · Working paper · doi:10.26509/frbc-wp-202128r

Le raisonnement motivé des individus exposés aux informations publicitaires : l’apport de la tâche de sélection de Wason

Chtourou, A. (2022) · Gestion 2000 · doi:10.3917/g2000.392.0081

Communication of Uncertainty in AI Regulations

Phutane, A. S. (2023) · Community Change · doi:10.21061/cc.v5i1.a.50

How people interpret projections of future climate change depends on what they think is most likely to happenPreprint

Mason, A., & Newell, B. R. (2023) · doi:10.31234/osf.io/3fsra

Who is at risk of bias? Examining dispositional differences in motivated science receptionPreprint

Altenmüller, M. S., & Poppe, L. A. (2023) · doi:10.31234/osf.io/gz5e2

When the Ends Justify the Mean: The Endpoint Leverage Effect in Distribution Perception

Ebert, J., & Deutsch, R. (2024) · Cognitive Science · doi:10.1111/cogs.13455

Cure or curse? The role of deliberation in shaping willful ignorance

Hutmacher, F., Altenmüller, M. S., & Winter, K. (2025) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2025.102082

Invasive rapid innovation: An introduction and exploration of their acceptance

Lasarov, W., & Hoffmann, S. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103118

Perceptions of complexity in sustainability: Scale construction and validation

Taavila, S., Rutjens, B. T., & Jostmann, N. B. (2025) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2025.102812

Out of sight is out of mind? Experimentally testing a gradually materializing public bad

Egberts, A., Engel, C., & Fairfield, J. A. T. (2026) · Journal of Economic Psychology · doi:10.1016/j.joep.2026.102877

Science miscommunication

Pollock, J., & Phillips, K. P. (2026) · Inquiry · doi:10.1080/0020174x.2026.2733559

Communicating risk about autonomous vehicles: uncertainty and source effects in social media risk communication

Lee, N., & Lee, S. (2026) · Journal of Risk Research · doi:10.1080/13669877.2026.2738114

The scientific impotence excuse as a bounded defence against unwelcome evidencePreprint

Futterleib, H., Thomm, E., Mehlkop, G., & Bauer, J. (2026) · Research Square · doi:10.21203/rs.3.rs-10573510/v1

At Home on the Range? Lay Interpretations of Numerical Uncertainty Ranges

Dieckmann, N., Peters, E., & Gregory, R. (2015) · Risk Analysis · doi:10.1111/risa.12358 · Cited by 52 · see citing works

Visualizing Uncertainty for Non-Expert End Users: The Challenge of the Deterministic Construal Error

Joslyn, S. L., & Savelli, S. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2020.590232 · Cited by 41 · see citing works

Comparing Uncertainty Visualizations for a Dynamic Decision-Making Task

Bisantz, A. M., Cao, D., Jenkins, M. A., Pennathur, P. R., Farry, M. P., Roth, E. M., Potter, S. S., & Pfautz, J. (2011) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343411415793 · Cited by 42 · see citing works

Transparent Risks: The Impact of Specificity and Visual Encoding of Uncertainty on Decision Making

Sandia National Labs., A., Matzen, L., (NNSA), U. N. N. S. A., Howell, B. C., Tuft, M., & Divis, K. (2024) · doi:10.2172/3365863

Effects of visualizing uncertainty on human cognition, emotion, trust, and decision-makingPreprint

Vromans, R., Willems, S. J. W., & Albers, C. (2022) · doi:10.17605/osf.io/nf3tp