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Electoral College bias and the 2020 presidential election
Donald Trump’s 2016 win despite failing to carry the popular vote has raised concern that 2020 would also see a mismatch between the winner of the popular vote and the winner of the Electoral College. This paper shows how to forecast the electoral vote in 2020 taking into account the unknown popular...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668185/ https://www.ncbi.nlm.nih.gov/pubmed/33106408 http://dx.doi.org/10.1073/pnas.2013581117 |
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author | Erikson, Robert S. Sigman, Karl Yao, Linan |
author_facet | Erikson, Robert S. Sigman, Karl Yao, Linan |
author_sort | Erikson, Robert S. |
collection | PubMed |
description | Donald Trump’s 2016 win despite failing to carry the popular vote has raised concern that 2020 would also see a mismatch between the winner of the popular vote and the winner of the Electoral College. This paper shows how to forecast the electoral vote in 2020 taking into account the unknown popular vote and the configuration of state voting in 2016. We note that 2016 was a statistical outlier. The potential Electoral College bias was slimmer in the past and not always favoring the Republican candidate. We show that in past presidential elections, difference among states in their presidential voting is solely a function of the states’ most recent presidential voting (plus new shocks); earlier history does not matter. Based on thousands of simulations, our research suggests that the bias in 2020 probably will favor Trump again but to a lesser degree than in 2016. The range of possible outcomes is sufficiently wide, however, to even include some possibility that Joseph Biden could win in the Electoral College while barely losing the popular vote. |
format | Online Article Text |
id | pubmed-7668185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-76681852020-11-27 Electoral College bias and the 2020 presidential election Erikson, Robert S. Sigman, Karl Yao, Linan Proc Natl Acad Sci U S A Social Sciences Donald Trump’s 2016 win despite failing to carry the popular vote has raised concern that 2020 would also see a mismatch between the winner of the popular vote and the winner of the Electoral College. This paper shows how to forecast the electoral vote in 2020 taking into account the unknown popular vote and the configuration of state voting in 2016. We note that 2016 was a statistical outlier. The potential Electoral College bias was slimmer in the past and not always favoring the Republican candidate. We show that in past presidential elections, difference among states in their presidential voting is solely a function of the states’ most recent presidential voting (plus new shocks); earlier history does not matter. Based on thousands of simulations, our research suggests that the bias in 2020 probably will favor Trump again but to a lesser degree than in 2016. The range of possible outcomes is sufficiently wide, however, to even include some possibility that Joseph Biden could win in the Electoral College while barely losing the popular vote. National Academy of Sciences 2020-11-10 2020-10-26 /pmc/articles/PMC7668185/ /pubmed/33106408 http://dx.doi.org/10.1073/pnas.2013581117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Erikson, Robert S. Sigman, Karl Yao, Linan Electoral College bias and the 2020 presidential election |
title | Electoral College bias and the 2020 presidential election |
title_full | Electoral College bias and the 2020 presidential election |
title_fullStr | Electoral College bias and the 2020 presidential election |
title_full_unstemmed | Electoral College bias and the 2020 presidential election |
title_short | Electoral College bias and the 2020 presidential election |
title_sort | electoral college bias and the 2020 presidential election |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668185/ https://www.ncbi.nlm.nih.gov/pubmed/33106408 http://dx.doi.org/10.1073/pnas.2013581117 |
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