From Pandemic to Insurrection: Voting in the 2020 US Presidential Election

Michael P. McDonald (Autor)

Buch | Softcover

VI, 240 Seiten

2022
De Gruyter (Verlag)
978-3-11-076780-3 (ISBN)

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From Pandemic to Insurrection: Voting in the 2020 US Presidential Election describes voting in the 2020 election, from the presidential nomination to new voting laws post-election. Election officials and voters navigated the challenging pandemic to hold the highest turnout election since 1900. President Donald Trump’s refusal to acknowledge the pandemic’s severity coupled with frequent vote fraud accusations affected how states provided safe voting, how voters cast ballots, how lawyers fought legal battles, and ultimately led to an unsuccessful insurrection.

lt;p>Michael P. McDonald, University of Florida, Gainesville, Florida, USA.

"Michael McDonald's From Pandemic to Insurrection offers a readable, no-nonsense look at how the 2020 US presidential election was run, and a debunking of the 'Big Lie' that nefarious forces stole the election from Donald Trump. A meticulous and well-documented separation of fact from fiction."

Richard L. Hasen, author of Cheap Speech: How Disinformation Poisons Our Politics - and How to Cure It

"Michael McDonald knows elections. In From Pandemic to Insurrection: Voting in the 2020 US Presidential Election he uses his academic expertise and real world experience to give us the best and most comprehensive account of the 2020 election we have - and need."

Norm Ornstein, Emeritus scholar at the American Enterprise Institute

Erscheinungsdatum	10.05.2022
Zusatzinfo	19 col. ill., 4 b/w tbl.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	155 x 230 mm
Gewicht	382 g
Themenwelt	Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
Schlagworte	2020 election • Donald Trump • election administration • Pandemic • Pandemie • Präsidentenwahl • USA. Präsident • USA. President • US-Präsidentenwahl 2020 • Voting
ISBN-10	3-11-076780-5 / 3110767805
ISBN-13	978-3-11-076780-3 / 9783110767803
Zustand	Neuware