We tested whether people focus on extreme outcomes to predict climate change and assessed the gap between the frequency of the predicted outcome and its perceived probability while controlling for climate change beliefs. We also tested 2 cost-effective interventions to reduce the preference for extreme outcomes and the frequency–probability gap by manipulating the probabilistic format: numerical or dual-verbal-numerical. In 4 experiments, participants read a scenario featuring a distribution of sea level rises, selected a sea rise to complete a prediction (e.g., “It is ‘unlikely’ that the sea level will rise . . . inches”) and judged the likelihood of this sea rise occurring. Results showed that people have a preference for predicting extre...
Forecasts of future outcomes, such as the consequences of climate change, are given with different d...
Many climate change-related risks, such as more frequent and severe natural disasters, can be charac...
International audienceBy 2100, between 0.2 and 4.6% of the global population is expected to be flood...
Scientists may utilise single bound probability estimates to convey the uncertainty around climate c...
Many assessments of climate change fail to consider the possibility of low probability, yet catastro...
Estimating the likelihood of future climate change has become a priority objective within the resear...
© 2019 American Meteorological SocietyThe use of interval forecasts allows climate scientists to iss...
The treatment of uncertainty in climate-change science is dominated by the far-reaching influence of...
Expert elicitation studies have become important barometers of scientific knowledge about future cli...
Most research into uncertainty focuses on how people estimate probability magnitude. By contrast, th...
Whilst local projections of sea-level rise (SLR) are necessary to facilitate targeted climate change...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
To what extent does economic analysis of climate change depend on low-probability, high-impact event...
The use of interval forecasts allows climate scientists to issue predictions with high levels of cer...
There is considerable concern that the public are not getting the message about climate change. One ...
Forecasts of future outcomes, such as the consequences of climate change, are given with different d...
Many climate change-related risks, such as more frequent and severe natural disasters, can be charac...
International audienceBy 2100, between 0.2 and 4.6% of the global population is expected to be flood...
Scientists may utilise single bound probability estimates to convey the uncertainty around climate c...
Many assessments of climate change fail to consider the possibility of low probability, yet catastro...
Estimating the likelihood of future climate change has become a priority objective within the resear...
© 2019 American Meteorological SocietyThe use of interval forecasts allows climate scientists to iss...
The treatment of uncertainty in climate-change science is dominated by the far-reaching influence of...
Expert elicitation studies have become important barometers of scientific knowledge about future cli...
Most research into uncertainty focuses on how people estimate probability magnitude. By contrast, th...
Whilst local projections of sea-level rise (SLR) are necessary to facilitate targeted climate change...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
To what extent does economic analysis of climate change depend on low-probability, high-impact event...
The use of interval forecasts allows climate scientists to issue predictions with high levels of cer...
There is considerable concern that the public are not getting the message about climate change. One ...
Forecasts of future outcomes, such as the consequences of climate change, are given with different d...
Many climate change-related risks, such as more frequent and severe natural disasters, can be charac...
International audienceBy 2100, between 0.2 and 4.6% of the global population is expected to be flood...