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Visualizing Uncertainty About the Future
Abstract
We are all faced with uncertainty about the future, but we can get the measure of some uncertainties in terms of probabilities. Probabilities are notoriously difficult to communicate effectively to lay audiences, and in this review we examine current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics. Despite the burgeoning interest in infographics, there is limited experimental evidence on how different types of visualizations are processed and understood, although the effectiveness of some graphics clearly depends on the relative numeracy of an audience. Fortunately, it is increasingly easy to present data in the form of interactive visualizations and in multiple types of representation that can be adjusted to user needs and capabilities. Nonetheless, communicating deeper uncertainties resulting from incomplete or disputed knowledge--or from essential indeterminacy about the future--remains a challenge.
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“First, to overcome the adverse effect of denominator neglect, it is important to present ratios with the same denominator so that they can be compared with just the numerator [116].”
From Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2021) · cites this paper as [116]
Citations
Cites
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305
Fixing the communications failure
Kahan, D. (2010) · Nature · doi:10.1038/463296a · Cited by 602
Flagged first, then by citations
Research works printed but not linked: 47
- 10.1037/0278-6133.24.4.S35 · DOI
- B. de Finetti Theory of Probability (Wiley London 1974).
- D. Kahneman P. Slovic A. Tversky Judgment Under Uncertainty: Heuristics and Biases (Cambridge Univ. Press Cambridge 2006).
- 10.1377/hlthaff.26.3.741 · DOI
- Fagerlin A., Ubel P. A., Smith D. M., Zikmund-Fisher B. J., Making numbers matter: Present and future research in risk communication. Am. J. Health Behav. 31 (suppl. 1), S47 (2007).17931136 · DOI
- D. E. Nelson B. W. Hesse R. T. Croyle Making Data Talk: Communicating Public Health Data to the Public Policy Makers and the Press (Oxford Univ. Press New York ed. 1 2009). · DOI
- C. Skubisz T. Reimer U. Hoffrage in Communication Yearbook 33 (Routledge London 2009) pp. 177–211. · DOI
- 10.1197/jamia.M2115 · DOI
- Lipkus I. M., Hollands J. G., The visual communication of risk. J. Natl. Cancer Inst. Monogr. 1999, 149 (1999).10854471 · DOI
- 10.1177/0272989X07307271 · DOI
- 10.1196/annals.1399.005 · DOI
- 10.1111/j.1539-6924.2008.01137.x · DOI
- Wallsten T. S., Budescu D. V., Rapoport A., Zwick R., Forsyth B., Measuring the vague meaning of probabilistic terms. J. Exp. Psychol. Gen. 155, 348 (1986). · DOI
- 10.1001/archinternmed.2009.481 · DOI · Paper page
- Gigerenzer G., Gaissmaier W., Kurz-Milcke E., Schwartz L. M., Woloshin S., Helping doctors and patients make sense of health statistics. Psychol. Sci. Public Interest 8, 53 (2007). · DOI · Paper page
- 10.1056/NEJM198205273062103 · DOI
- 10.1175/2008WAF2007088.1 · DOI
- 10.1196/annals.1399.004 · DOI
- 10.1016/j.lindif.2007.03.011 · DOI · Paper page
- 10.1037/0022-3514.66.5.819 · DOI
- 10.1177/0272989X10369000 · DOI
- Neace W. P., Michaud S., Bolling L., Deer K., Zecevic L., Frequency formats, probability formats, or problem structure? A test of the nested-sets hypothesis in an extensional reasoning task. Judgm. Decis. Mak. 3, 140 (2008). · DOI
- 10.1002/met.121 · DOI
- E. Tufte The Visual Display of Quantitative Information (Graphics Press Cheshire CT 2001).
- 10.1111/j.1539-6924.2010.01435.x · DOI
- 10.1136/bmj.327.7417.695 · DOI
- NASA Space Shuttle Safety and Mission Assurance Office NASA Review of Shuttle Risks (available at http://hw.libsyn.com/p/3/0/a/30aafb8c2337eb80/NASAShuttleRiskReview-excerpt.pdf).
- 10.1002/cncr.23959 · DOI
- 10.1037/a0014474 · DOI
- 10.1177/0272989X10369006 · DOI
- 10.1186/1472-6947-8-14 · DOI
- 10.1111/j.1539-6924.2009.01261.x · DOI
- 10.1175/2009JCLI2863.1 · DOI
- 10.1109/TVCG.2009.114 · DOI
- K. Broad et al . Misinterpretations of the “Cone of Uncertainty” in Florida During the 2004 Hurricane Season (2010) (available at http://journals.ametsoc.org/doi/abs/10.1175/BAMS-88-5-651). · DOI
- 10.1559/1523040054738936 · DOI
- 10.1559/152304000783548037 · DOI
- 10.1126/science.229.4716.828 · DOI
- 10.1111/j.1539-6924.1987.tb00488.x · DOI
- Strecher V. J., Greenwood T., Wang C., Dumont D., Interactive multimedia and risk communication. J. Natl. Cancer Inst. Monogr. 1999, 134 (1999).10854469 · DOI
- 10.1177/0272989X10364847 · DOI
- 10.1111/1539-6924.00304 · DOI
- 10.1177/0272989X07307270 · DOI
- 10.1177/0272989X10371830 · DOI · Paper page
- L. Rogers S. S. N. Siu D. Luesley A. Bryant H. O. Dickinson in Cochrane Database of Systematic Reviews The Cochrane Collaboration L. Rogers Eds. (Wiley Chichester UK 2009).
- M. G. Morgan B. Fischhoff A. Bostrom C. J. Atman Risk Communication: A Mental Models Approach (Cambridge Univ. Press Cambridge ed. 1 2001). · DOI
- 10.1038/4681029a · DOI
Cited by
Sorted by citations
Items 301–400 of 557
Dolan, J., & Veazie, P. (2015) · Patient · doi:10.1007/s40271-015-0111-6 · Cited by 12
“Research in the field of information visualization has shown that graphic, interactive information displays can help people derive a deeper understanding of information within a specific decision context [11, 12].”
BackgroundCharvat, H., Sasazuki, S., Inoue, M., Iwasaki, M., Sawada, N., Shimazu, T., Yamaji, T., & Tsugane, S. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2013.08.030 · Cited by 15
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Aldrich, D. P., & Crook, K. (2013) · Public Administration Review · doi:10.1111/puar.12071 · Cited by 9
Bayesian Methods for Quantifying and Reducing Uncertainty and Error in Forest Models
van Oijen, M. (2017) · Current Forestry Reports · doi:10.1007/s40725-017-0069-9 · Cited by 11
Complexity and uncertainty in future food system transformation modelling
Moallemi, E. A., Castonguay, A. C., Mason-D’Croz, D., Nelson, R., Britz, W., Allen, C., Hadjikakou, M., Battaglia, M., Bryan, B. A., Conti, C., et al. (2025) · Nature Food · doi:10.1038/s43016-025-01257-1 · Cited by 17
“Interactive visual analytics tools can help improve the accessibility of model outcomes by communicating more effectively and translating results to a wider range of end-users 115 .”
Schäfer, U., Sipos, L., & Müller-Birn, C. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757451 · Cited by 10
“Studies have demonstrated that such representations can improve team performance [27, 102, 168] and may be preferred over visualizations [28, 165].”
Adla, S., Aravindakshan, A., Tyagi, A., Guntha, R., Ponce-Pacheco, M. A., Nagi, A., Pastore, P., & Pande, S. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.124140 · Cited by 11
Communicating cancer treatment with pictogram-based timeline visualizations
Jambor, H. K., Ketges, J., Otto, A. L., von Bonin, M., Trautmann‐Grill, K., Teipel, R., Middeke, J. M., Uhlig, M., Eichler, M., Pannasch, S., et al. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae319 · Cited by 9
Müller, L., & Döll, P. (2024) · Geoscience Communication · doi:10.5194/gc-7-121-2024 · Cited by 11
“2,”
Bullen, A., Ryan, M., Ennis, H., Gray, E., Loría‐Rebolledo, L. E., McIntyre, M., & Hall, P. S. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-076798 · Cited by 11
van Strien-Knippenberg, I. S., Arjangi-Babetti, H., Timmermans, D., Schrauwen, L., Fransen, M. P., Melles, M., & Damman, O. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02483-6 · Cited by 11
“To support people’s comprehension of numerical risk information, visualizations can be used [26–29].”
MethodThe co-development of personalised 10-year breast cancer risk communications: a ‘think-aloud’ study
Gorman, L. S., Ruane, H., Woof, V. G., Southworth, J., Ulph, F., Evans, D., & French, D. (2022) · BMC Cancer · doi:10.1186/s12885-022-10347-3 · Cited by 11
“In line with recommendations on developing communications about cancer screening programmes [9], the information aimed to provide accurate information about risk [25] and promote informed choices about screening.”
BackgroundGidlow, C., Ellis, N., Riley, V., Cowap, L., Crone, D., Cottrell, E., Grogan, S., Chambers, R., Calvert, S., & Clark-Carter, D. (2021) · BJGP open · doi:10.3399/bjgpo.2021.0049 · Cited by 11
“Literature on interactive graphical risk representations indicates potential benefits for provoking a more emotional response,(42) but highlights the importance of user competence.(18) In RICO, there were examples of practitioners manipulating inappropriate risk factors, such as showing a non- smoker with raised chole…”
BackgroundRiley, V., Ellis, N., Cowap, L., Grogan, S., Cottrell, E., Crone, D., Chambers, R., Clark-Carter, D., Fedorowicz, S. E., & Gidlow, C. (2020) · BMC Family Practice · doi:10.1186/s12875-020-01315-6 · Cited by 11
Henneman, L., van Asperen, C. V., Oosterwijk, J., Menko, F., Claassen, L., & Timmermans, D. (2020) · Patient Preference and Adherence · doi:10.2147/ppa.s232941 · Cited by 11
“Words and graphical display 2 (6) 2 (4) 6 (8) 4 (7) 7 (13) 21 (8)”
InfluentialNguyen, P., McIntosh, J. G., Bickerstaffe, A., Maddumarachchi, S., Cummings, K.-L., & Emery, J. (2019) · The British journal of general practice : the journal of the Royal College of General Practitioners · doi:10.3399/bjgp19x706613 · Cited by 11
Struikman, B., Bol, N., Goedhart, A., van Weert, J. C. M., Talboom-Kamp, E. P. W. A., van Delft, S., Brabers, A. E. M., & van Dijk, L. (2020) · Journal of Medical Internet Research · doi:10.2196/15798 · Cited by 12
“When people do not understand the information, they will often use their “gut” feeling to make decisions about uncertain situations [21].”
BackgroundGidlow, C., Ellis, N., Cowap, L., Riley, V., Crone, D., Cottrell, E., Grogan, S., Chambers, R., & Clark-Carter, D. (2019) · BMC Family Practice · doi:10.1186/s12875-018-0897-0 · Cited by 11
“The potential advantages of JBS3 over QRISK®2 include: (i) measurement of lifetime risk, which is less dependent on age and gender; (ii) lifetime risk takes into account both risk from CVD and competing diseases; (iii) multiple ways in which risk information is presented could accommodate the needs and preferences of…”
BackgroundExplainable Predictive Monitoring of Temporal Measures of Business Processes
Verenich, I. (2019) · International Conference on Business Process Management · doi:10.5204/thesis.eprints.124037 · Cited by 11
“Since in real-life business processes the amount of uncertainty increases over time (cone of uncertainty [112]), the prediction task becomes more difficult and generally less accurate.”
BackgroundMcCrorie, A., Chen, J.-W., Weller, R. R., McGlade, K., Donnelly, C., & Shiri, R. (2018) · Cogent Medicine · doi:10.1080/2331205x.2018.1483591 · Cited by 11
Tables and Graphs for Monitoring Temporal Crime Patterns
Wheeler, A. P. (2015) · International Journal of Police Science & Management · doi:10.1177/1461355716642781 · Cited by 16
“Effectively visualizing and conveying uncertainty in the estimates are difficult (Spiegelhalter et al., 2011), but with the moving average, one can see the typical values for each crime, see any longer term trends and monitor whether a particular week is outlying.”
BackgroundDefining and managing risk in asthma
Blakey, J., Zaidi, S., & Shaw, D. (2014) · Clinical and Experimental Allergy · doi:10.1111/cea.12334 · Cited by 11
Estimating the costs of climate change adaptation in the agricultural sector
Wreford, A., & Renwick, A. (2012) · doi:10.1079/pavsnnr20127040 · Cited by 11
Visualization of causation in social-ecological systems
Banitz, T., Hertz, T., Johansson, L., Lindkvist, E. A. L., Martínez-Peña, R., Radosavljevic, S., Schlüter, M., Wennberg, K., Ylikoski, P., & Grimm, V. (2022) · Ecology and Society · doi:10.5751/es-13030-270131 · Cited by 11
“…Finland Ecology and Society 27(1): 31 https://www.ecologyandsociety.org/vol27/iss1/art31/ Although visualizations play an important role in exploring and communicating causation in SES, their inherent assumptions, strengths and weaknesses are rarely reflected upon (Spiegelhalter et al. 2011).”
BackgroundDhungana, A., Doyle, E. H., McDonald, G. W., & Prasanna, R. (2025) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2025.105260 · Cited by 11
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
Yang, S., Folke, T., & Shafto, P. (2021) · Applied AI Letters · doi:10.48550/arxiv.2105.07508 · Cited by 10
“information presentation for human understanding [42, 43, 44], and XAI researchers could benefit from implementing these lessons.”
Enoch, J., Ghulakhszian, A., Crabb, D., Dinah, C., & Taylor, D. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049495 · Cited by 10
Communicating uncertainties in spatial predictions of grain micronutrient concentration
Chagumaira, C., Chimungu, J., Gashu, D., Nalivata, P., Broadley, M., Milne, A. E., & Lark, R. (2020) · Geoscience Communication · doi:10.5194/gc-2020-42 · Cited by 10
Rare, but Valuable: Understanding Data-centered Talk in News Website Comment Sections
McInnis, B., Sun, L., Shin, J., & Dow, S. W. (2020) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3415245 · Cited by 10
“Error-bars, confidence intervals, and forecast lines are several common ways to represent uncertainty on a data visualization [90].”
BackgroundGidlow, C., Ellis, N., Cowap, L., Riley, V., Crone, D., Cottrell, E., Grogan, S., Chambers, R., & Clark-Carter, D. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-037790 · Cited by 10
Isip-Tan, I. T., Gutierrez, J., & Bernardo, D. C. (2020) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.035.01.09 · Cited by 10
Kirkebøen, G. (2019) · European Journal of Cancer Care · doi:10.1111/ecc.13056 · Cited by 13
Markanday, A., & Galarraga, I. (2021) · Climate Risk Management · doi:10.1016/j.crm.2021.100359 · Cited by 13
“As it stands, attempts to establish best-practice guidelines for flood risk communications are hindered 118 by the lack of experimental and randomised trials necessary for testing preferences and communication 119 formats across different audiences (Demeritt and Nobert, 2014; Spiegelhalter et al., 2011).”
BackgroundFrom Delays to Densities: Exploring Data Uncertainty through Speech, Text, and Visualization
Stokes, C., Sanker, C., Cogley, B., & Setlur, V. (2024) · Computer Graphics Forum · doi:10.1111/cgf.15100 · Cited by 6
“While experts might understand statistical nuances like confidence intervals or p-values, a lay audience might misread these indicators and make incorrect conclusions [SPS11].”
BackgroundVIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis
Zabel, S., Hennig, P., & Nieselt, K. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3345532 · Cited by 9
“Communicating uncertainties visually is a big challenge [20].”
BackgroundArevalo, V. J. C., den Haan, R., Berends, K., Baart, F., van der Voort, M. C., & Hulscher, S. (2023) · Social Science Research Network · doi:10.2139/ssrn.4170509 · Cited by 9
“Such ways include framing available knowledge into storylines closer to practice (Bruijn et al., 2016) and using storytelling with multi-media elements and custom-isable displays to communicate the research relevance (Krzywinski and Cairo, 2013) and limitations (Spiegelhalter et al., 2011).”
BackgroundCurry, J. (2023) · doi:10.2307/jj.4418217 · Cited by 9
“…however, communicating predictive uncertainty in ways that are understandable to, usable by, and useful to stakeholders remains challenging (National Research Council 2006; Morss et al. 2008b; Budescu et al. 2009; Pidgeon and Fischhoff 2011; Spiegelhalter et al. 2011; Taylor et al. 2015).”
BackgroundFranzen, D., von Voigt, S. N., Sörries, P., Tschorsch, F., & Müller-Birn, C. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2204.04061 · Cited by 9
“” Several publications (e.g., [53, 54]) recommend presenting the probabilities of both events together as “5 % have side effects, 95 % do not” to avoid bias induced by the presentation chosen.”
BackgroundNumeracy and COVID-19: examining interrelationships between numeracy, health numeracy and behaviour
Lau, N. T. T., Wilkey, E. D., Soltanlou, M., Lagacé-Cusiac, R., Peters, L., Tremblay, P. F., Goffin, C., Starling‐Alves, I., Ribner, A., Thompson, C. A., et al. (2022) · Royal Society Open Science · doi:10.1098/rsos.201303 · Cited by 11
“201303 3 Despite the importance of understanding relational information, there is a wealth of empirical evidence to show that processing proportions (fractions, decimals, percentages or odds ratios) are challenging for many adults [5,6].”
BackgroundImproving the visual communication of environmental model projections
Bannister, H. J., Blackwell, P. G., Hyder, K., & Webb, T. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-98290-4 · Cited by 11
Risk preferences and risk perception affect the acceptance of digital contact tracingPreprint
Albrecht, R., Jarecki, J., Meier, D., & Rieskamp, J. (2020) · Humanities and Social Sciences Communications · doi:10.31234/osf.io/4x5f3 · Cited by 9
García-Retamero, R., Petrova, D., Cokely, E. T., & Joeris, A. (2020) · Journal of experimental psychology. Applied · doi:10.1037/xap0000242 · Cited by 9
Grainger, S., Ochoa-Tocachi, B. F., Antiporta, J., Dewulf, A. R. P. J., & Buytaert, W. (2020) · Water Resources Research · doi:10.1029/2019wr026694 · Cited by 16
Investigating microbial associations from sequencing survey data with co‐correspondence analysis
Alric, B., ter Braak, C. J. F., Desdevises, Y., Lebredonchel, H., & Dray, S. (2019) · Molecular Ecology Resources · doi:10.1111/1755-0998.13126 · Cited by 9
Athawale, T. M., Johnson, K. A., Butson, C., & Johnson, C. R. (2018) · Comput. methods Biomech. Biomed. Eng. Imaging Vis. · doi:10.1080/21681163.2018.1523750 · Cited by 9
“Broadly speaking, the quanti fi cation and visualisation of uncertainty has become an important research challenge across all disciplines (Johnson and Sanderson 2003; Johnson 2004; Spiegelhalter et al. 2011).”
BackgroundAssessing local-scale inclusive wealth: a case study of Sado Island, Japan
Yoshida, Y., Matsuda, H., Fukushi, K., Ikeda, S., Managi, S., & Takeuchi, K. (2018) · Sustainability Science · doi:10.1007/s11625-018-0540-y · Cited by 9
“2008) and represent (Spiegelhalter et al. 2011) uncertainties in ways accessible to decision makers to better implement the theoretical ideal of shadow prices that represent intergenerational wellbeing.”
BackgroundAn introduction to patient decision aids
(2012) · Drug and Therapeutics Bulletin · doi:10.1136/dtb.2012.08.0121 · Cited by 24
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Arcia, A., Merrill, J., & Bakken, S. (2019) · Consumer Informatics and Digital Health · doi:10.1007/978-3-319-96906-0_10 · Cited by 9
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Blauza, S., Kremer, K., & Heuckmann, B. (2025) · Journal of Research in Science Teaching · doi:10.1002/tea.70025 · Cited by 8
Steib, N., Büchter, T., Eichler, A., Binder, K., Krauß, S., Böcherer-Linder, K., Vogel, M., & Hilbert, S. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.102032 · Cited by 12
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Madsen, M. (2024) · Discourse: Studies in the Cultural Politics of Education · doi:10.1080/01596306.2024.2393771 · Cited by 8
“Data visualizations are discussed as one of the means for doing this, for example by displaying probable futures as ranges of outcomes, rather than a single outcome (see Spiegelhalter, Pearson, & Short, 2011, for a range of examples).”
Brito, K. D. S., Filho, R. L. C. S., & Adeodato, P. J. L. (2023) · Government Information Quarterly · doi:10.1016/j.giq.2023.101899 · Cited by 15
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de Alencar, J. N. (2023) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2023.10.006 · Cited by 7
? A Cross-Language Study of How People Verbalize Probabilities in Icon Array Visualizations
Rakotondravony, N., Ding, Y., & Harrison, L. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209367 · Cited by 8
“Visual depictions of probability are widely considered to be effective in communicating uncertainty, aiding audiences of different backgrounds to improve decisions, trust and judgment [34,41].”
BackgroundChagumaira, C., Nalivata, P., Chimungu, J., Gashu, D., Broadley, M., Milne, A., & Lark, R. (2022) · International Journal of Geographical Information Science · doi:10.1080/13658816.2021.2020278 · Cited by 8
Nezhnikova, E., Larionov, A., & Smirnova, E. (2021) · Human and Ecological Risk Assessment · doi:10.1080/10807039.2021.1949262 · Cited by 8
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Carr, R., Semmens, K., Montz, B., & Maxfield, K. (2021) · Bulletin of The American Meteorological Society - (BAMS) · doi:10.1175/bams-d-21-0019.1 · Cited by 8
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BackgroundMilton, S., McIntosh, J., Macrae, F., Chondros, P., Trevena, L., Jenkins, M., Walter, F., Taylor, N., Boyd, L., Saya, S., et al. (2021) · Trials · doi:10.1186/s13063-021-05365-8 · Cited by 8
“EFTs are graphical summaries that aim to simplify multiple conditional probabilities and present the likelihood of specific outcomes [15].”
BackgroundINTEREST: INteractive Tool for Exploring REsults from Simulation sTudies
Gasparini, A., Morris, T., & Crowther, M. (2019) · Journal of Data Science Statistics and Visualisation · doi:10.52933/jdssv.v1i4.9 · Cited by 8
“, there is little experimental evidence on how different types of visualisations are perceived (Spiegelhalter et al. 2011); despite that, they highlight the ease of improving understanding via interactive visualisations that can be adjusted by the user to best fit specific requirements.”
BackgroundAustralian Superannuation: The Current State of Play
Chomik, R., & Piggott, J. (2016) · Australian Economic Review · doi:10.1111/1467-8462.12190 · Cited by 8
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Sun, Y., Li, S., Bonini, N., & Liu, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146914 · Cited by 8
“Evidence shows that the physical properties of graphs influence an audience’s quantitative information perception (see for example, [12]).”
BackgroundPrpich, G., Dagonneau, J., Rocks, S., Lickorish, F., & Pollard, S. (2013) · Science of the Total Environment · doi:10.1016/j.scitotenv.2013.06.037 · Cited by 8
Demeritt, D., Stephens, E., Créton-Cazanave, L., Lutoff, C., Ruin, I., & Nobert, S. (2016) · Springer eBooks · doi:10.1007/978-3-642-40457-3_44-1 · Cited by 8
Effect of Displaying Uncertainty in Line and Bar Charts - Presentation and Interpretation
der Laan, D. S. V., de Jonge, E., & Solcer, J. (2015) · International Conference on Information Visualization Theory and Applications · doi:10.5220/0005300702250232 · Cited by 8
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HORA 3D: Personalized Flood Risk Visualization as an Interactive Web Service
Rauer-Zechmeister, S., Cornel, D., Sadransky, B., Horváth, Z., Konev, A., Buttinger-Kreuzhuber, A., Heidrich, R., Blöschl, G., Gröller, E., & Waser, J. (2024) · Computer graphics forum (Print) · doi:10.1111/cgf.15110 · Cited by 7
Wilhelmi, O. V., Morss, R., Lazrus, H., Boehnert, J., & Gambill, J. (2024) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2024.104424 · Cited by 7
Münster, S., Maiwald, F., Bruschke, J., Kröber, C., Sun, Y., Dworak, D., Komorowicz, D., Munir, I., Beck, C., & Münster, D. L. (2024) · Applied Sciences · doi:10.3390/app14051992 · Cited by 16
Covariational reasoning in Bayesian situations
Büchter, T., Eichler, A., Böcherer-Linder, K., Vogel, M., Binder, K., Krauß, S., & Steib, N. (2024) · Educational Studies in Mathematics · doi:10.1007/s10649-023-10274-5 · Cited by 9
“Proven as important among disciplines such as medicine (Ashby, 2006) or law (Lindsey et al., 2003), but also for lay-people (e.g., when using medical diagnostic self-tests), Bayesian reasoning is necessary within general society (Spiegelhalter et al., 2011).”
Designing Visualisations for Bayesian Problems According to Multimedia Principles
Büchter, T., Steib, N., Böcherer-Linder, K., Eichler, A., Krauss, S., Binder, K., & Vogel, M. (2022) · Education sciences · doi:10.3390/educsci12110739 · Cited by 7
Current Practice in Climate Service Visualization: Taking the Pulse of the Providers’ Community
Terrado, M., Calvo, L., Bojovic, D., & Christel, I. (2022) · Bulletin of The American Meteorological Society - (BAMS) · doi:10.1175/bams-d-21-0194.1 · Cited by 7
“The progressive disclosure of information, which aims at the initial simplification of information followed by the possibility to reveal additional options and content, was identified as a commonly applied technique in the field of climate service visualization, which also grants users a more active role (Bostrom et a…”
BackgroundMethodABCs of Pain: A Functional Scale Measuring Perioperative Pain in Total Hip Arthroplasty Patients
Hierl, A. N., Moran, H., Villwock, M., Templeton, K. J., & Villwock, J. A. (2021) · Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · doi:10.5435/jaaosglobal-d-21-00097 · Cited by 7
Reese, T. J., Fiol, G. D., Morgan, K. L., Hurwitz, J. T., Kawamoto, K., Gómez-Lumbreras, A., Brown, M., Thiess, H., Vazquez, S. R., Nelson, S. D., et al. (2021) · JMIR Human Factors · doi:10.2196/28618 · Cited by 9
“Icon array features were based on findings from the literature and expert feedback [36,37].”
MethodThe concept of justifiable healthcare and how big data can help us to achieve it
Biesen, W. V., Straeten, C. V. D., Sterckx, S., Steen, J., Diependaele, L., & Decruyenaere, J. M. A. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01444-7 · Cited by 13
Yim, H.-N., Riddell, J. R., & Wheeler, A. P. (2019) · Journal of criminal justice · doi:10.31235/osf.io/7g32n · Cited by 7
Congenital cardiac surgery and parental perception of risk: a qualitative study
Lotto, R. R., Jones, I., Guerrero, R., Dhannapuneni, R., & Lotto, A. (2019) · Cardiology in the Young · doi:10.1017/s1047951119002087 · Cited by 7
Processing textual and visual certainty information about digital architectural models
Glaser, M., & Schwan, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.02.023 · Cited by 5
[Micro-death and life of Severina? Preemptive risk communication].
Castiel, L., Vasconcellos-Silva, P. R., & de Moraes, D. R. (2017) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00016017 · Cited by 7
Stryckers, M., Nagler, E., & Biesen, W. V. (2016) · PRILOZI · doi:10.1515/prilozi-2016-0014 · Cited by 8
“It is very difficult to transfer information on probabilities [19] and the uncertainty surrounding them to lay people, and even physicians and healthcare professionals may struggle to understand them [20].”
BackgroundComputational Properties of Fiction Writing and Collaborative Work
Reddington, J., Murtagh, F., & Cowie, D. (2013) · International Symposium on Intelligent Data Analysis · doi:10.1007/978-3-642-41398-8_32 · Cited by 7
“Given the reported benefits of data visualisation [27, 25], the publishing sector has been slow to engage in use of visualisation.”
BackgroundMeasuring people’s covariational reasoning in Bayesian situations
Steib, N., Krauss, S., Binder, K., Büchter, T., Böcherer-Linder, K., Eichler, A., & Vogel, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1184370 · Cited by 6
“…Bayesian situations can be extremely relevant in various domains, and a misinterpretation can have serious consequences (Hoffrage et al., 2000; Spiegelhalter et al., 2011), calculation tasks usually cannot be solved by participants (McDowell and Jacobs, 2017), nor by students (Binder et al.,…”
BackgroundMethodContradictory and complex health messages: an experimental test of different sources of uncertainty
Zimbres, T. M., Bell, R., Miller, L. M. S., & Zhang, J.-W. (2022) · Communication Research Reports · doi:10.1080/08824096.2022.2065256 · Cited by 6
Mittl, G. S., Cook, T., Hill, P., Cho, J. K., Shea, J., Kahn, C. E., & Zafar, H. M. (2021) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2021.02.012 · Cited by 6
Meeting the Challenges of Communication and Uncertainty in Medical Care
Babrow, A. (2020) · doi:10.1002/9781119399926.ch45 · Cited by 6
Entirely possible overruns: how people think and talk about probabilistic cost estimates
Teigen, K., Andersen, B., Alnes, S. L., & Hesselberg, J. (2019) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-06-2018-0114 · Cited by 6
Riley, V., Gidlow, C., Ellis, N., Povey, R., Barnes, O., & Clark-Carter, D. (2019) · Patient Education and Counseling · doi:10.1016/j.pec.2019.05.014 · Cited by 6
Legemate, D., Koelemay, M., & Ubbink, D. (2016) · Annals of Surgery · doi:10.1097/sla.0000000000001522 · Cited by 6
Visualizing uncertainty with fuzzy rose diagrams
Buck, A., & Keller, J. (2014) · IEEE Symposium on Computational Intelligence for Engineering Solutions · doi:10.1109/cies.2014.7011827 · Cited by 6
“Keywords—visualization; decision support; fuzzy weighted graphs; multi-criteria decision making; fuzzy rose diagram I. INTRODUCTION here are many application domains in which information must be conveyed to a viewer quickly and concisely.”
BackgroundCómo Mejorar la Comprensión de los Riesgos Médicos en Personas Mayores
Garcia-Retamero, R., & Muñoz, R. (2013) · Revista Latinoamericana de Psicología · doi:10.14349/rlp.v45i2.1071 · Cited by 6
Contested Modelling: a Critical Examination of Expert Modelling in Sustainability
Yearworth, M., & Cornell, S. (2016) · Systems Research and Behavioral Science · doi:10.1002/sres.2315 · Cited by 6
Moral Perception and Uncertainty Expression in LLM-Augmented Judicial Practice
Delacroix, S. (2025) · Minds and Machines · doi:10.1007/s11023-025-09744-x · Cited by 5
“The effective communication of uncertainty depends heavily on its alignment with specific aims and audiences (Spiegelhalter et al., 2011 ).”
Enoch, J., Matthews, D., Ghulakhszian, A., Sekhon, M., Callaghan, T., Crabb, D. P., Dinah, C., & Taylor, D. J. (2025) · Research Involvement and Engagement · doi:10.1186/s40900-025-00747-7 · Cited by 5
“This aligns with research suggesting that benefits or risks framed as percentages can be challenging to understand [29], without a ‘reference class’ translating the percentage into absolute terms [38].”
Skála, J., Žížala, D., & Minařík, R. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.125035 · Cited by 5
Lang, S., McIntosh, J., Enticott, J., Goldstein, R. F., Baker, S., McGowan, M., Cooray, S. D., Du, L., Reddy, A. J., Harrison, C. L., et al. (2024) · Midwifery · doi:10.1016/j.midw.2024.104270 · Cited by 5
Life cycle sustainability tracker: a dynamic approach
Tokede, O. O., & Globa, A. (2024) · Engineering Construction and Architectural Management · doi:10.1108/ecam-07-2023-0680 · Cited by 5
How Visual Design of Severe Weather Outlooks Can Affect Communication and Decision-Making
Clive, M. A. T., Doyle, E. E. H., Potter, S., Chris, N., & Johnston, D. M. (2023) · Weather Climate and Society · doi:10.1175/wcas-d-23-0010.1 · Cited by 11
Woelmer, W. M., Moore, T. N., Lofton, M. E., Thomas, R. Q., & Carey, C. C. (2023) · Ecosphere · doi:10.1002/ecs2.4628 · Cited by 5
“…ideas (Larkin and Simon 1987, Tait et al. 2010), the student post-module responses are reflective of a common theme in the visualization literature that using multiple communication forms increases user comprehension and confidence in decision-making (Fagerlin et al. 2005, Spiegelhalter et al. 2011).”
BackgroundMethodInfluentialElection predictions in the news: how users perceive and respond to visual election forecasts
Witzenberger, B., & Diakopoulos, N. A. (2023) · Information Communication & Society · doi:10.1080/1369118x.2023.2230267 · Cited by 7
“This label was presented in a frequency format (e.g., 89 out of 100), which has been shown to make these figures easier to understand (Gigerenzer & Hoffrage, 1995; Spiegelhalter et al., 2011).”
BackgroundHorstmann, S., Hartig, C., Kraus, U., Palm, K., Jacke, K., Dandolo, L., Schneider, A. S., & Bolte, G. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.992557 · Cited by 5
“Moreover, graphics can be tailored specifically to different audiences and their respective needs (81).”
BackgroundGharzai, L. A., & Jagsi, R. (2023) · Cancer · doi:10.1002/cncr.34677 · Cited by 5
“Improving patient‐centered decision‐making to include financial toxicity may improve care for marginalized and underserved populations, impact those in low‐/middle‐income countries who look to the United States for guidance on best practices, and generate further work into advocacy and improving risk/benefit discussio…”
Background
Metadata
- Authors
- Spiegelhalter, D., Pearson, M., & Short, I.
- Affiliations
- University of Cambridge (GB)
- The Open University (GB)
- Corresponding author
- Spiegelhalter, David
- Venue
- Science
- Published
- 2011-09-09
- Volume
- 333
- Issue
- 6048
- Pages
- 1393-1400
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2015011409
- Cited by
- 682
- References
- 0
- Citations by year
- 2026: 21 · 2025: 21 · 2024: 54 · 2023: 39 · 2022: 64 · 2021: 67 · 2020: 52 · 2019: 52 · 2018: 47 · 2017: 40 · 2016: 43 · 2015: 62 · 2014: 36 · 2013: 38 · 2012: 42
- FWCI
- 8.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Open Research Online (The Open University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Keywords
- uncertainty communication, probability communication, infographics, interactive visualization, numeracy, lay audiences, future uncertainty, climate uncertainty, weather forecasting, health communication, economics communication, sport
- MeSH terms
- Computer Graphics, Data Display, Forecasting, Humans, Probability, Risk, Information Dissemination, Uncertainty
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.
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