Conditional Probability Communication
Conditional Probability Communication is a formal framework within probability communication that specifies how probabilistic information, conditioned on particular evidence or contexts, is systematically conveyed and interpreted to support accurate reasoning under uncertainty.
8
Publications
1.4K
Citations
21
Authors
17
Institutions
Publications per year
2017–2026
1
Parents
8
Communicating Statistical Information
Ulrich Hoffrage, Samuel C. Lindsey, Ralph Hertwig et al. · Science · 2000 · 638 citations · Full text
Why do single event probabilities confuse patients?
Gerd Gigerenzer, Mirta Galešić · BMJ · 2012 · 57 citations · Full text
1–5 of 8
21
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University of North Carolina at Chapel Hill, United States
1 publications · 298 citations
1
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1
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1
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1–5 of 21
17
Max Planck Institute for Human Development
Berlin, Germany
2 h-index
5 publications
2K citations
Mental Health Mental Retardation of Tarrant County
Fort Worth, United States
1 h-index
1 publications
19 citations
Stanford University
Stanford, United States
1 h-index
2 publications
102 citations

Pennsylvania State University
State College, United States
1 h-index
1 publications
298 citations
Max Planck Society
Munich, Germany
1 h-index
2 publications
114 citations
University of Kassel
Kassel, Germany
1 h-index
2 publications
38 citations
Utrecht University
Utrecht, The Netherlands
1 h-index
2 publications
364 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
2 publications
596 citations
1–8 of 17
1 publications · 19 citations
1
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1 publications · 140 citations
1
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1 publications · 298 citations
1
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PNAS · 1 publications · 51 citations
1
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1 publications · 19 citations
1
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1–5