Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Erikson, Robert S., Sigman, Karl, Yao, Linan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
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
_version_ 1783610443310301184
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
work_keys_str_mv AT eriksonroberts electoralcollegebiasandthe2020presidentialelection
AT sigmankarl electoralcollegebiasandthe2020presidentialelection
AT yaolinan electoralcollegebiasandthe2020presidentialelection