Abstract In a recent issue of Earth's Future (vol. 7, pp. 1020–1026), S. C. Lewis et al. (2019, https://doi.org/10.1029/2019EF001273) recommended a numerically bounded linguistic probability (NBLP) scheme for communicating probabilistic information in extreme event attribution studies. We provide a critique of NBLP schemes in general and of Lewis et al.'s in particular, noting two key points. First, evidence from voluminous behavioral science research on the interpretation of linguistic probabilities indicates that NBLP schemes are an ineffective means of communicating uncertainty to others. Second, where the motivation to implement such schemes nevertheless persists, the schemes should be developed through an evidence‐based approach that s...
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People interpret verbal expressions of probabilities (e.g. 'very likely') in different ways, yet wor...
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Difficulties in interpreting probabilities can impede the progress of risk analyses and impair the c...
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People interpret verbal expressions of probabilities (e.g. 'very likely') in different ways, yet wor...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
The number of knowledge-based systems that build on Bayesian belief networks is increasing. The con...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
People interpret verbal expressions of probabilities (e.g. ‘very likely’) in different ways, yet wor...
International audienceWords of Estimative Probability (WEP) are phrases used to express the plausibi...
A commonly suggested solution to reduce misinterpretations of verbal probability expressions in ris...
The Intergovernmental Panel on Climate Change (IPCC) assesses information relevant to the understand...
The number of knowledge-based systems that build on Bayesian belief networks is increasing. The cons...
We thank the Comment's authors for their considered critique of our paper. We respond to their main ...
People interpret verbal expressions of probabilities (e.g. 'very likely') in different ways, yet wor...
Across a wide range of domains, experts make probabilistic judgments under conditions of uncertainty...
Difficulties in interpreting probabilities can impede the progress of risk analyses and impair the c...
Life in an increasingly information-rich but highly uncertain world calls for an effective means of ...
Intelligence analysis is fundamentally an exercise in expert judgment made under conditions of uncer...
People interpret verbal expressions of probabilities (e.g. 'very likely') in different ways, yet wor...
International audienceDo individuals unfamiliar with probability and statistics need a specific type...
The number of knowledge-based systems that build on Bayesian belief networks is increasing. The con...
Probability estimates can be given as ranges or uncertainty intervals, where often only one of the i...
People interpret verbal expressions of probabilities (e.g. ‘very likely’) in different ways, yet wor...
International audienceWords of Estimative Probability (WEP) are phrases used to express the plausibi...
A commonly suggested solution to reduce misinterpretations of verbal probability expressions in ris...
The Intergovernmental Panel on Climate Change (IPCC) assesses information relevant to the understand...
The number of knowledge-based systems that build on Bayesian belief networks is increasing. The cons...