Literature DB >> 34728563

No evidence for systematic voter fraud: A guide to statistical claims about the 2020 election.

Andrew C Eggers1, Haritz Garro2, Justin Grimmer3,4,5.   

Abstract

After the 2020 US presidential election Donald Trump refused to concede, alleging widespread and unparalleled voter fraud. Trump's supporters deployed several statistical arguments in an attempt to cast doubt on the result. Reviewing the most prominent of these statistical claims, we conclude that none of them is even remotely convincing. The common logic behind these claims is that, if the election were fairly conducted, some feature of the observed 2020 election result would be unlikely or impossible. In each case, we find that the purportedly anomalous fact is either not a fact or not anomalous.
Copyright © 2021 the Author(s). Published by PNAS.

Entities:  

Keywords:  election security; fraud detection; science communication

Year:  2021        PMID: 34728563      PMCID: PMC8609310          DOI: 10.1073/pnas.2103619118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  1 in total

1.  Online engagement with 2020 election misinformation and turnout in the 2021 Georgia runoff election.

Authors:  Jon Green; William Hobbs; Stefan McCabe; David Lazer
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-16       Impact factor: 12.779

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.