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A methodological approach to ratio bias

Published online by Cambridge University Press:  01 January 2023

Gabriella Passerini*
Affiliation:
University of Milano-Bicocca, Piazza dell’Ateneo, Nuovo 1 Milano, Italy
Laura Macchi*
Affiliation:
University of Milano-Bicocca
Maria Bagassi*
Affiliation:
University of Milano-Bicocca
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Abstract

The ratio-bias (RB) phenomenon is considered to provide systematic evidence of irrationality. When judging the probability of a low-probability event, many people judge it as less likely when it is expressed as a ratio of small numbers (e.g., 1-in-10) than when it is expressed as a ratio of large numbers (e.g., 10-in-100). Four experiments show that the phenomenon is increased by the experimental paradigm, which misleads subjects regarding the aim of the task by inducing equal-ratio neglect. One factor is constant across the texts of the Experiment 1–3: a particular sentence that induces subjects to neglect the equal ratio and invites them to express feelings about the outcome of the target event rather than giving a rational answer. This intent is strengthened by the formulation of the question (Experiment 1), which explicitly asks the subject to express the feeling connected to the lotteries and the absence of a third option (Experiment 1, 4), the right one, which expresses the “indifference” between the two options. In Experiment 4, the task lacks only the third option, and, simply by adding the option that allows subjects to express the correct answer, the RB disappears.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
The authors license this article under the terms of the Creative Commons Attribution 3.0 License.
Copyright
Copyright © The Authors [2012] This is an Open Access article, distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Figure 0

Table 1: Results of Experiment 1—“Lottery” Scenario, all subject included (N=345).

Figure 1

Table 2: Results of Experiment 1—“Machine” Scenario, all subject included (N=160).

Figure 2

Table 3: Results of Experiment 1—“Transfusion” Scenario, all subject included (N=160)

Figure 3

Table 4: Results of Experiment 2—“Jeally Bean” Scenario, all subject included (N=285).

Figure 4

Table 5: Results of Experiment 3—“Job” Scenario, all subject included (N=196).

Figure 5

Table 6: Results of Experiment 4, all subject included (N=187).

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