WooCast

Politics & Polls #141: All About Electability?

May 30, 2019
By:
Sarah M. Binder
Source:
Woodrow Wilson School
Of the 23 candidates seeking the Democratic nomination for president, who is the most electable? How does one define “electability,” and how does the media drive its relevance?
 
As the initial Democratic primary debates approach, Julian Zelizer and Sam Wang discuss what the early “horserace” polling numbers tell us, as well as the influence of communication media such as live television and Twitter.
 
 
ABOUT THE HOSTS
 

Zelizer has been among the pioneers in the revival of American political history. He is the Malcolm Stevenson Forbes, Class of 1941 Professor of History and Public Affairs at Princeton University and a CNN political analyst. He has written more than 900 op-eds, including his popular weekly column for CNN.com and The Atlantic. This year, he is the distinguished senior fellow at the New York Historical Society, where he is writing a biography of Rabbi Abraham Joshua Heschel for Yale University's Jewish Lives Series. He is the author and editor of more than 19 books including, “The Fierce Urgency of Now: Lyndon Johnson, Congress, and the Battle for the Great Society,” the winner of the D.B. Hardeman Prize for the Best Book on Congress. In January 2019, Norton will publish his new book, co-authored with Kevin Kruse, “Fault Lines: A History of the United States Since 1974.” In spring 2020, Penguin Press will publish his other book, “Burning Down the House: Newt Gingrich, The Fall of a Speaker, and the Rise of the New Republican Party.” He has received fellowships from the Brookings Institution, the Guggenheim Foundation, the Russell Sage Foundation and New America.

Wang is a professor at Princeton University, appointed in neuroscience with affiliate appointments in the Program in Law and Public Affairs and the Center for Information Technology Policy. An alumnus of Caltech, where he received a B.S. with honors in physics, he went on to earn a Ph.D. in neuroscience from the Stanford University School of Medicine. He conducted postdoctoral research at Duke University Medical Center and at Bell Labs Lucent Technologies. He has also worked on science and education policy for the U.S. Senate Committee on Labor and Human Resources. He is noted for his application of data analytics and poll aggregation to American politics. He is leading an effort at the Princeton Gerrymandering Project to build a 50-state data resource for legislative-quality citizen redistricting. His work to define a state-level legal theory to limit partisan gerrymandering recently won Common Cause’s Gerrymandering Standard Writing Contest. His neuroscience research concerns how the brain learns from sensory experience in early life, adulthood and autism.