Literature DB >> 12044740

Chances and frequencies in probabilistic reasoning: rejoinder to Hoffrage, Gigerenzer, Krauss, and Martignon.

Vittorio Girotto1, Michel Gonzalez.   

Abstract

Do individuals unfamiliar with probability and statistics need a specific type of data in order to draw correct inferences about uncertain events? Girotto and Gonzalez (Cognition 78 (2001) 247) showed that naive individuals solve frequency as well as probability problems, when they reason extensionally, in particular when probabilities are represented by numbers of chances. Hoffrage, Gigerenzer, Krauss, and Martignon (Cognition 84 (2002) 343) argued that numbers of chances are natural frequencies disguised as probabilities, though lacking the properties of true probabilities. They concluded that we failed to demonstrate that naive individuals can deal with true probabilities as opposed to natural frequencies. In this paper, we demonstrate that numbers of chances do represent probabilities, and that naive individuals do not confuse numbers of chances with frequencies. We conclude that there is no evidence for the claim that natural frequencies have a special cognitive status, and the evolutionary argument that the human mind is unable to deal with probabilities.

Entities:  

Mesh:

Year:  2002        PMID: 12044740     DOI: 10.1016/s0010-0277(02)00051-3

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  9 in total

1.  Overcoming illusory inferences in a probabilistic counterintuitive problem: the role of explicit representations.

Authors:  Elisabet Tubau; Diego Alonso
Journal:  Mem Cognit       Date:  2003-06

2.  Now you Bayes, now you don't: effects of set-problem and frequency-format mental representations on statistical reasoning.

Authors:  Miroslav Sirota; Lenka Kostovičová; Frédéric Vallée-Tourangeau
Journal:  Psychon Bull Rev       Date:  2015-10

3.  Another chance for good reasoning.

Authors:  Stefania Pighin; Katya Tentori; Vittorio Girotto
Journal:  Psychon Bull Rev       Date:  2017-12

4.  Effects of visualizing statistical information - an empirical study on tree diagrams and 2 × 2 tables.

Authors:  Karin Binder; Stefan Krauss; Georg Bruckmaier
Journal:  Front Psychol       Date:  2015-08-26

Review 5.  Good fences make for good neighbors but bad science: a review of what improves Bayesian reasoning and why.

Authors:  Gary L Brase; W Trey Hill
Journal:  Front Psychol       Date:  2015-03-31

6.  Providing additional information about the benefits of statins in a leaflet for patients with coronary heart disease: a qualitative study of the impact on attitudes and beliefs.

Authors:  Rebecca Dickinson; David K Raynor; Peter Knapp; Jan MacDonald
Journal:  BMJ Open       Date:  2016-12-02       Impact factor: 2.692

7.  Tversky and Kahneman's Cognitive Illusions: Who Can Solve Them, and Why?

Authors:  Georg Bruckmaier; Stefan Krauss; Karin Binder; Sven Hilbert; Martin Brunner
Journal:  Front Psychol       Date:  2021-04-12

Review 8.  Comprehension and computation in Bayesian problem solving.

Authors:  Eric D Johnson; Elisabet Tubau
Journal:  Front Psychol       Date:  2015-07-27

9.  Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness.

Authors:  Patrick Weber; Karin Binder; Stefan Krauss
Journal:  Front Psychol       Date:  2018-10-12
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.