Using natural frequencies to improve diagnostic inferences

By Ulrich Hoffrage, Gerd Gigerenzer. 1998

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Citations in the corpus

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, positive): “For instance, the work in [178] shows that the usage of probabilities to communicate the results, implied that the users where able to estimate the outcomes correctly in 10% of the cases, as opposed to 46% of the cases when using natural frequencies.”
Rationality for Mortals: How People Cope with Uncertainty (2008, methodology): “For instance, physicians with an average of 14 years professional experience were asked to imagine using the Haemoccult test to screen for colorectal cancer (Hoffrage & Gigerenzer, 1998).”
The power of representation and interpretation: Doubling statistical reasoning performance with icons and frequentist interpretations of ambiguous numbers (2014, background): “Two of the widely considered ideas about how to present numbers are that frequencies and pictures can improve understanding and performance (Gigerenzer, Gaissmaier, Kurz-Milcke, Schwartz, & Woloshin, 2007; Hoffrage & Gigerenzer, 1998; Hoffrage, Lindsey, Hertwig, & Gigerenzer, 2000).”
Striking a Blow for Sanity in Theories of Rationality (2004, methodology): “…this method has been proven to help physicians and patients, judges and law students alike to understand the uncertainties in HIV tests, DNA fi ngerprinting, and other technologies (e.g., Gigerenzer, 2002; Hoffrage & Gigerenzer, 1998; Hoffrage, Lindsay, Hertwig, & Gigerenzer, 2000; Koehler, 1996).”
The Science of Visual Data Communication: What Works (2021, background): “The frequency framing may be more effective because it more naturally maps to how we experience probability in our daily lives (Hoffrage & Gigerenzer, 1998).”
The nonlinear nature of learning : a differential learning approach (2012, background): “…stochastic and epistemological point of view that not only the size of sample is of interest in future but rather the number of investigations related to the research topic, and therefore the number of hypothesis in order to pursue the question for the probability of a hypothesis (=p(H0)) [25, 26].”