Cargando…
Political storms: Emergent partisan skepticism of hurricane risks
Mistrust of scientific evidence and government-issued guidelines is increasingly correlated with political affiliation. Survey evidence has documented skepticism in a diverse set of issues including climate change, vaccine hesitancy, and, most recently, COVID-19 risks. Less well understood is whethe...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486090/ https://www.ncbi.nlm.nih.gov/pubmed/32917709 http://dx.doi.org/10.1126/sciadv.abb7906 |
_version_ | 1783581275053883392 |
---|---|
author | Long, Elisa F. Chen, M. Keith Rohla, Ryne |
author_facet | Long, Elisa F. Chen, M. Keith Rohla, Ryne |
author_sort | Long, Elisa F. |
collection | PubMed |
description | Mistrust of scientific evidence and government-issued guidelines is increasingly correlated with political affiliation. Survey evidence has documented skepticism in a diverse set of issues including climate change, vaccine hesitancy, and, most recently, COVID-19 risks. Less well understood is whether these beliefs alter high-stakes behavior. Combining GPS data for 2.7 million smartphone users in Florida and Texas with 2016 U.S. presidential election precinct-level results, we examine how conservative-media dismissals of hurricane advisories in 2017 influenced evacuation decisions. Likely Trump-voting Florida residents were 10 to 11 percentage points less likely to evacuate Hurricane Irma than Clinton voters (34% versus 45%), a gap not present in prior hurricanes. Results are robust to fine-grain geographic controls, which compare likely Clinton and Trump voters living within 150 m of each other. The rapid surge in media-led suspicion of hurricane forecasts—and the resulting divide in self-protective measures—illustrates a large behavioral consequence of science denialism. |
format | Online Article Text |
id | pubmed-7486090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74860902020-09-17 Political storms: Emergent partisan skepticism of hurricane risks Long, Elisa F. Chen, M. Keith Rohla, Ryne Sci Adv Research Articles Mistrust of scientific evidence and government-issued guidelines is increasingly correlated with political affiliation. Survey evidence has documented skepticism in a diverse set of issues including climate change, vaccine hesitancy, and, most recently, COVID-19 risks. Less well understood is whether these beliefs alter high-stakes behavior. Combining GPS data for 2.7 million smartphone users in Florida and Texas with 2016 U.S. presidential election precinct-level results, we examine how conservative-media dismissals of hurricane advisories in 2017 influenced evacuation decisions. Likely Trump-voting Florida residents were 10 to 11 percentage points less likely to evacuate Hurricane Irma than Clinton voters (34% versus 45%), a gap not present in prior hurricanes. Results are robust to fine-grain geographic controls, which compare likely Clinton and Trump voters living within 150 m of each other. The rapid surge in media-led suspicion of hurricane forecasts—and the resulting divide in self-protective measures—illustrates a large behavioral consequence of science denialism. American Association for the Advancement of Science 2020-09-11 /pmc/articles/PMC7486090/ /pubmed/32917709 http://dx.doi.org/10.1126/sciadv.abb7906 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Long, Elisa F. Chen, M. Keith Rohla, Ryne Political storms: Emergent partisan skepticism of hurricane risks |
title | Political storms: Emergent partisan skepticism of hurricane risks |
title_full | Political storms: Emergent partisan skepticism of hurricane risks |
title_fullStr | Political storms: Emergent partisan skepticism of hurricane risks |
title_full_unstemmed | Political storms: Emergent partisan skepticism of hurricane risks |
title_short | Political storms: Emergent partisan skepticism of hurricane risks |
title_sort | political storms: emergent partisan skepticism of hurricane risks |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7486090/ https://www.ncbi.nlm.nih.gov/pubmed/32917709 http://dx.doi.org/10.1126/sciadv.abb7906 |
work_keys_str_mv | AT longelisaf politicalstormsemergentpartisanskepticismofhurricanerisks AT chenmkeith politicalstormsemergentpartisanskepticismofhurricanerisks AT rohlaryne politicalstormsemergentpartisanskepticismofhurricanerisks |