{"title":"What do I know about severe weather? The influence of weather knowledge on protective action decisions.","authors":"M. A. Casteel","doi":"10.1175/wcas-d-22-0115.1","DOIUrl":null,"url":null,"abstract":"Research has found that people who know the least about a topic are often very overconfident of their knowledge, while those who know the most often underestimate their knowledge. This finding, known as the Dunning-Kruger Effect (DKE) has recently been shown to occur in knowledge of severe weather as well. The current study investigated whether being overconfident in one’s knowledge might translate into a tendency to make poorer sheltering decisions when faced with severe weather. Participants took two severe weather quizzes, one of perceived knowledge and one of objective knowledge. Participants also predicted their performance on both quizzes. The participants then saw four wireless emergency tornado warning alerts on a simulated smartphone screen, along with a tornado scenario, and then made two protective action decisions: one about immediately sheltering in place and the other the likelihood they would drive away. The results revealed that the participants did exhibit the DKE: those with the lowest levels of knowledge exhibited the most overconfidence while those with the highest levels of knowledge underestimated their performance. Also, compared to individuals with the most knowledge, those with the least knowledge were the most likely to state that they would not shelter immediately, and would get in their car and drive away. Although more education is needed, the findings suggest a conundrum: those who know the least about severe weather, thinking they know a lot, are likely those individuals least likely to seek out additional education on the topic.","PeriodicalId":48971,"journal":{"name":"Weather Climate and Society","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Weather Climate and Society","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1175/wcas-d-22-0115.1","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Research has found that people who know the least about a topic are often very overconfident of their knowledge, while those who know the most often underestimate their knowledge. This finding, known as the Dunning-Kruger Effect (DKE) has recently been shown to occur in knowledge of severe weather as well. The current study investigated whether being overconfident in one’s knowledge might translate into a tendency to make poorer sheltering decisions when faced with severe weather. Participants took two severe weather quizzes, one of perceived knowledge and one of objective knowledge. Participants also predicted their performance on both quizzes. The participants then saw four wireless emergency tornado warning alerts on a simulated smartphone screen, along with a tornado scenario, and then made two protective action decisions: one about immediately sheltering in place and the other the likelihood they would drive away. The results revealed that the participants did exhibit the DKE: those with the lowest levels of knowledge exhibited the most overconfidence while those with the highest levels of knowledge underestimated their performance. Also, compared to individuals with the most knowledge, those with the least knowledge were the most likely to state that they would not shelter immediately, and would get in their car and drive away. Although more education is needed, the findings suggest a conundrum: those who know the least about severe weather, thinking they know a lot, are likely those individuals least likely to seek out additional education on the topic.
期刊介绍:
Weather, Climate, and Society (WCAS) publishes research that encompasses economics, policy analysis, political science, history, and institutional, social, and behavioral scholarship relating to weather and climate, including climate change. Contributions must include original social science research, evidence-based analysis, and relevance to the interactions of weather and climate with society.