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Verbal probabilities: Very likely to be somewhat more confusing than numbers
Bonnie C Wintle1, Hannah Fraser1, Ben C Wills2,3
1School of BioSciences, University of Melbourne, Melbourne, Australia.
Plos One
|April 18, 2019
Summary
Providing numerical probability guidelines alongside verbal expressions significantly improves understanding. Bracketing numbers within text, like "very unlikely (05-20%)", enhances consistency between intended and interpreted meanings.
Area of Science:
- Decision Science
- Cognitive Psychology
- Risk Communication
Background:
- Verbal expressions of probability are interpreted inconsistently.
- Numerical guidelines are often ignored when communicating uncertainty.
- Effective communication of probabilistic information is crucial for decision-making.
Purpose of the Study:
- To evaluate methods for improving the interpretation of verbal probabilities.
- To compare the effectiveness of different formats for presenting numerical guidelines.
- To enhance the correspondence between intended and interpreted meanings of probabilistic language.
Main Methods:
- An online experiment with 924 participants tested four presentation formats for numerical guidelines.
- Formats included bracketing in text, pop-up tooltips, separate windows, and a control group.
- Participants' interpretations of verbal probabilities were compared against US Intelligence Community Directive (ICD) 203 standards.
Main Results:
- Bracketing numerical guidelines within text substantially improved correspondence with intended meanings (66% vs. 32% in control).
- Other formats (tooltips, separate windows) did not significantly improve interpretation consistency.
- Evidence-based lexicons were constructed from participant judgments of verbal probability terms.
Conclusions:
- Presenting numerical probability guidelines directly within text is the most effective method for improving clarity.
- Aligning the intended and interpreted meanings of probabilistic terms reduces communication errors.
- Improved communication of uncertainty can lead to better decision-making under risk.
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