Communicating Statistical Information
By Ulrich Hoffrage, S. Lindsey, Ralph Hertwig, Gerd Gigerenzer. Science, 2000
586 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/65d2964e824cff5203583ba028787ea5ea9073bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Gerd Gigerenzer
- Ralph Hertwig
- Daniel G. Goldstein
- David M. Rothschild
- Gary L. Brase
- Till Grüne-Yanoff
- Ellen Peters
- Jack B. Soll
In Statistics and Probability
- Gary L. Brase
- Ellen Peters
- Gerd Gigerenzer
- Ralph Hertwig
- David M. Rothschild
- Daniel G. Goldstein
- Till Grüne-Yanoff
- Jack B. Soll
Citations in the corpus
- Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers (2013, background): “A number of studies and a recent Cochrane Collaboration review [13,23] have shown that natural frequencies are better than conditional probabilities where events are connected.”
- Nudge Versus Boost: How Coherent are Policy and Theory? (2015, background): “Seen from a psychological viewpoint, however, as the proponents of the boost approach have argued, representation does matter: some representations make people more competent to reason in a Bayesian way in the absence of any explicit instruction (Gigerenzer and Hoffrage 1995; Hoffrage et al. 2000).”
- The power of representation and interpretation: Doubling statistical reasoning performance with icons and frequentist interpretations of ambiguous numbers (2014, background): “…results (FeldmanStewart, Brundage, & Zotov, 2007; GarciaRetamero & Hoffrage, 2013), communication of DNA evidence to jurors in court proceedings (Hoffrage et al., 2000; Lindsey, Hertwig, & Gigerenzer, 2003) and education of students in mathematical concepts (Ruscio, 2003; Zhu & Gigerenzer,…”
- Lay understanding of probability distributions (2014, methodology): “The graphical method takes advantage of frequencies (as opposed to probabilities or percentages) in elicitation, exploiting a representation that is easily comprehended by laypeople (Hoffrage et al., 2000; Gigerenzer, 2011; Goldstein, Johnson, & Sharpe, 2008).”
- Intuitions About Combining Opinions: Misappreciation of the Averaging Principle (2006, background): “But the average guess of 70º misses by only 3º. Averaging outperforms the average individual (and, in this case, happens to outperform both individuals).”
- Gut Feelings: The Intelligence of the Unconscious (2007, background): “Concerning our program to improve physicians’ and patients’ intuitions about risk and uncertainties, see Gigerenzer, 2002, and Hoffrage et al., 2000.”