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Rare disaster information can increase risk-taking


The recent increase in the frequency and impact of natural disasters1 highlights the need to provide the public with accurate information concerning disaster prevalence. Most approaches to this problem assume that providing summaries of the nature and scale of disasters will lead people to reduce their exposure to risk2. Here we present experimental evidence that such ex post ‘news reports’ of disaster occurrences can increase the tolerance for risk-taking (which implies that rare events are underweighted3). This result is robust across several hundred rounds of choices in a simulated microworld, persists even when the long-run expected value of risky choices is substantially lower than safe choices, and is contingent on providing risk information about disasters that have been (personally) experienced and those that have been avoided (‘forgone’ outcomes). The results suggest that augmenting personal experience with information summaries of the number of adverse events (for example, storms, floods) in different regions may, paradoxically, increase the appeal of a disaster-prone region. This finding implies a need to communicate long-term trends in severe climatic events, thereby reinforcing the accumulation of events, and the increase in their associated risks, across time4.

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Figure 1: Screenshot of the GeoRisk Microworld used in the experiments.
Figure 2: The mean proportion of risky choices (selection of a house in one of the two risky areas) in the moderate and severe environments.


  1. Munich RE Topics GEO: Natural Catastrophes 2014 Analyses, Assessments, Positions 2015 Issue (Münchener Rückversicherungs-Gesellschaft, 2015);

    Google Scholar 

  2. Kunreuther, H. et al. Risk management and climate change. Nature Clim. Change 3, 447–450 (2013).

    Article  Google Scholar 

  3. Erev, I. & Roth, A. Maximization, learning and economic behaviour. Proc. Natl Acad. Sci. USA 111, 10818–10825 (2014).

    CAS  Article  Google Scholar 

  4. Weber, E. U. Experience-based and description-based perceptions of long-term risk: Why global warming does not scare us (yet). Clim. Change 77, 103–120 (2006).

    Article  Google Scholar 

  5. Trenberth, K. E. Framing the way to relate climate extremes to climate change. Clim. Change 115, 283–290 (2012).

    Article  Google Scholar 

  6. Miller, J. S. Geographical information systems: Unique analytic capabilities for the traffic safety community. Trans. Res. Rec. 1734, 21–28 (2000).

    Article  Google Scholar 

  7. Plug, C., Xia, J. & Caulfield, C. Spatial and temporal visualisation techniques for crash analysis. Accid. Anal. Prev. 43, 1937–1946 (2011).

    Article  Google Scholar 

  8. Zheng, Y. A preliminary evaluation of the impact of local accident information on the public perception of road safety. Reliab. Eng. Sys. Saf. 92, 1170–1182 (2007).

    Article  Google Scholar 

  9. Donovan, G. H., Champ, P. A. & Butry, D. T. Wildfire risk and housing prices: A case study from Colorado Springs. Land Econ. 83, 217–233 (2007).

    Article  Google Scholar 

  10. Samarasinghe, O. & Sharp, B. Flood prone risk and amenity values: A spatial hedonic analysis. Aust. J. Agric. Resour. Econ. 54, 457–475 (2010).

    Article  Google Scholar 

  11. Beron, K., Murdoch, J., Thayer, M. & Vijverberg, W. An analysis of the housing market before and after the 1989 Loma Prieta earthquake. Land Econ. 73, 101–113 (1997).

    Article  Google Scholar 

  12. Palm, R. I. Public response to earthquake hazard information. Ann. Assoc. Am. Geogr. 71, 389–399 (1981).

    Google Scholar 

  13. Oki, S. & Nakayachi, K. Paradoxical effects of the record-high tsunamis caused by the 2011 Tohoku earthquake on public judgments of danger. Int. J. Disaster Risk Reduct. 2, 37–45 (2012).

    Article  Google Scholar 

  14. Budescu, D. V., Por, H. H., Broomell, S. B. & Smithson, M. The interpretation of IPCC probabilistic statements around the world. Nature Clim. Change 4, 508–512 (2014).

    Article  Google Scholar 

  15. Lewandowsky, S., Gignac, G. E. & Vaughan, S. The pivotal role of perceived scientific consensus in acceptance of science. Nature Clim. Change 3, 399–404 (2013).

    Article  Google Scholar 

  16. Broomell, S. B., Budescu, D. V. & Por, H. H. Personal experience with climate change predicts intentions to act. Glob. Environ. Change 32, 67–73 (2015).

    Article  Google Scholar 

  17. Myers, T. A., Maibach, E. W., Roser-Renouf, C., Akerlof, K. & Leiserowitz, A. A. The relationship between personal experience and belief in the reality of global warming. Nature Clim. Change 3, 343–347 (2012).

    Article  Google Scholar 

  18. Reser, J. P., Bradley, G. L. & Ellul, M. C. Encountering climate change: ‘Seeing’ is more than ‘believing’. Wiley Interdiscip. Rev. Clim. Change 5, 521–537 (2014).

    Article  Google Scholar 

  19. Hertwig, R. & Erev, I. The description-experience gap in risky choice. Trends Cogn. Sci. 13, 517–523 (2009).

    Article  Google Scholar 

  20. Yechiam, E., Rakow, T. & Newell, B. R. Super-underweighting of rare events with repeated descriptive summaries.  J. Behav. Decis. Mak. 28, 67–75 (2015).

    Article  Google Scholar 

  21. Kahneman, D. & Tversky, A. Prospect theory: An analysis of decision under risk. Econometrica 47, 263–291 (1979).

    Article  Google Scholar 

  22. Yechiam, E. & Busemeyer, J. R. The effect of foregone payoffs on underweighting small probability events. J. Behav. Decis. Mak. 19, 1–16 (2006).

    Article  Google Scholar 

  23. Lejarraga, T. & Gonzalez, C. Effects of feedback and complexity on repeated decisions from description. Organ. Behav. Hum. Decis. 117, 286–295 (2011).

    Article  Google Scholar 

  24. Yuviler-Gavish, N. & Gopher, D. Effect of descriptive information and experience and automation reliance. Hum. Factors 53, 230–244 (2011).

    Article  Google Scholar 

  25. Weber, E. U. & Stern, P. C. Public understanding of climate change in the United States. Am. Psychol. 66, 315–328 (2011).

    Article  Google Scholar 

  26. Hansen, J., Sato, S. & Ruedy, R. Perception of climate change. Proc. Natl Acad. Sci. USA 109, 14726–14727 (2012).

    CAS  Article  Google Scholar 

  27. Hogarth, R. M. & Soyer, E. Communicating forecasts: The simplicity of simulated experience. J. Bus. Res. 68, 1800–1809 (2015).

    Article  Google Scholar 

  28. Hoffrage, U., Lindsey, S., Herwig, R. & Gigerenzer, G. Communicating statistical information. Science 290, 2261–2262 (2000).

    CAS  Article  Google Scholar 

  29. Henrich, L., McClure, J. & Crozier, M. Effects of risk framing on earthquake risk perception: Life-time frequencies enhance recognition of the risk. Int. J. Disaster Risk Reduct. 13, 145–160 (2015).

    Article  Google Scholar 

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This study was supported by the Leverhulme Trust (RPG-384), by the I-CORE programme of the Planning and Budgeting Committee and the Israel Science Foundation (Center No. 41), and by the Australian Research Council (LP120100224). B.R.N. received salary support from an Australian Research Council Future Fellowship (FT110100151) and acknowledges support of the ARC Centre of Excellence for Climate System Science (CE110001028). We thank A. Kary and R. Parikh for assistance with data collection and T. Lejarraga for insightful comments on an earlier draft.

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B.R.N., T.R. and E.Y. devised and designed the experiments. M.S. developed the computer program and implemented the designs. B.R.N. and T.R. oversaw the running of the experiments. B.R.N., T.R. and E.Y. conducted the data analyses and wrote the paper.

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Correspondence to Ben R. Newell.

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The authors declare no competing financial interests.

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Newell, B., Rakow, T., Yechiam, E. et al. Rare disaster information can increase risk-taking. Nature Clim Change 6, 158–161 (2016).

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