Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Lost in a Gallup

Polling Failure in U.S. Presidential Elections

Bibliographic Data

ID7309516
AuthorsKaren M Hult (0000-0002-2990-7461, Virginia Tech, Blacksburg, Virginia, corresponding author)
Year2022
Volume108
Issue4
Pages809-810
Publication date2022-01-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of American History (JOURNAL)
Journal identifiersISSN: 0021-8723 • E-ISSN: 1945-2314
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/jahist/jaac017
OpenAlexW4205911131
LanguageEN

With the winner still in doubt, the day after the 2020 presidential election, David A. Graham called the “clear loser ...: polling” (“The Polling Crisis Is a Catastrophe for American Democracy,” Atlantic, Nov. 4, 2020). Such a statement would scarcely surprise W. Joseph Campbell. His latest book, Lost in a Gallup, traces several polling “fiascoes” in U.S. presidential elections, from the infamous 1936 Literary Digest and 1948 miscalls to the failed predictions of 2016 (p. 4). This extensively researched and engagingly written volume profiles early pioneers of polling such as George Gallup, Elmo Roper, and Archibald Crossley, as well as later pollsters and analysts such as John Zogby and Nate Silver, highlighting their contributions, missteps, and not infrequent competitiveness and hubris. Yet Campbell's focus is “the intriguing, intricate, and sometimes exasperating interplay” between polling and journalism, anchored in shared values of accuracy and timeliness (p. 4). Both contend with the needs of keeping public interest, sustaining trust, adapting to changing technologies, and responding to market dynamics

Democracy · Journalism · Media studies · Political economy · Political science · Politics · Polling · Presidential election · Presidential system · Sociology · Surprise · Computer Science · History · Law · Political Influence and Corporate Strategies · Public Administration

Citation velocityhistorical
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae