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A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts?

A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts?
A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts?
The weather forecast says that there is a “30% chance of rain,” and we think we understand what it means. This quantitative statement is assumed to be unambiguous and to convey more information than does a qualitative statement like “It might rain tomorrow.” Because the forecast is expressed as a single-event probability, however, it does not specify the class of events it refers to. Therefore, even numerical probabilities can be interpreted by members of the public in multiple, mutually contradictory ways. To find out whether the same statement about rain probability evokes various interpretations, we randomly surveyed pedestrians in five metropolises located in countries that have had different degrees of exposure to probabilistic forecasts––Amsterdam, Athens, Berlin, Milan, and New York. They were asked what a “30% chance of rain tomorrow” means both in a multiple-choice and a free-response format. Only in New York did a majority of them supply the standard meteorological interpretation, namely, that when the weather conditions are like today, in 3 out of 10 cases there will be (at least a trace of) rain the next day. In each of the European cities, this alternative was judged as the least appropriate. The preferred interpretation in Europe was that it will rain tomorrow “30% of the time,” followed by “in 30% of the area.” To improve risk communication with the public, experts need to specify the reference class, that is, the class of events to which a single-event probability refers.
0272-4332
623-629
Gigerenzer, Gerd
16856b2c-59a5-4a16-80da-d2968c4437dd
Hertwig, Ralph
37f2ccd6-8058-4822-96b2-8c4a8bb03ad3
Fasolo, Barbara
257a8e86-ee46-4636-89fa-e2c8bad96774
van der Broek, Eva
3ffe9c16-fd81-4e04-a2c7-c80bea815fa1
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Gigerenzer, Gerd
16856b2c-59a5-4a16-80da-d2968c4437dd
Hertwig, Ralph
37f2ccd6-8058-4822-96b2-8c4a8bb03ad3
Fasolo, Barbara
257a8e86-ee46-4636-89fa-e2c8bad96774
van der Broek, Eva
3ffe9c16-fd81-4e04-a2c7-c80bea815fa1
Katsikopoulos, Konstantinos
b97c23d9-8b24-4225-8da4-be7ac2a14fba

Gigerenzer, Gerd, Hertwig, Ralph, Fasolo, Barbara, van der Broek, Eva and Katsikopoulos, Konstantinos (2005) A 30% chance of rain tomorrow: How does the public understand probabilistic weather forecasts? Risk Analysis, 25 (3), 623-629. (doi:10.1111/j.1539-6924.2005.00608.x).

Record type: Article

Abstract

The weather forecast says that there is a “30% chance of rain,” and we think we understand what it means. This quantitative statement is assumed to be unambiguous and to convey more information than does a qualitative statement like “It might rain tomorrow.” Because the forecast is expressed as a single-event probability, however, it does not specify the class of events it refers to. Therefore, even numerical probabilities can be interpreted by members of the public in multiple, mutually contradictory ways. To find out whether the same statement about rain probability evokes various interpretations, we randomly surveyed pedestrians in five metropolises located in countries that have had different degrees of exposure to probabilistic forecasts––Amsterdam, Athens, Berlin, Milan, and New York. They were asked what a “30% chance of rain tomorrow” means both in a multiple-choice and a free-response format. Only in New York did a majority of them supply the standard meteorological interpretation, namely, that when the weather conditions are like today, in 3 out of 10 cases there will be (at least a trace of) rain the next day. In each of the European cities, this alternative was judged as the least appropriate. The preferred interpretation in Europe was that it will rain tomorrow “30% of the time,” followed by “in 30% of the area.” To improve risk communication with the public, experts need to specify the reference class, that is, the class of events to which a single-event probability refers.

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Published date: 2005

Identifiers

Local EPrints ID: 428881
URI: http://eprints.soton.ac.uk/id/eprint/428881
ISSN: 0272-4332
PURE UUID: 993c6184-6aab-43b0-9a77-b912b69b5df9
ORCID for Konstantinos Katsikopoulos: ORCID iD orcid.org/0000-0002-9572-1980

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Date deposited: 13 Mar 2019 19:16
Last modified: 16 Mar 2024 04:28

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Contributors

Author: Gerd Gigerenzer
Author: Ralph Hertwig
Author: Barbara Fasolo
Author: Eva van der Broek

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