Matt is joined by David Shor, Head of Data Science at OpenLabs R&D, to discuss the causes and implications of polling errors in recent election cycles. By looking at different response rates and the implicit bias in some polls David explains why some policies are less popular than they seem. Their conversation also tackles what can be done by politicians to achieve broader appeal.
Resources:
“What Do Partisan Donors Want?” by David Broockman and Neil Malhotra (Public Opinion Quarterly; 2020)
“Balancing, Generic Polls and Midterm Congressional Elections” by Joseph Bafumi, Robert S. Erikson, and Christopher Wlezien (Dartmouth Scholarship; 2010)
Guest:
David Shor (@davidshor), Head of Data Science, OpenLabs R&D
Host:
Matt Yglesias (@mattyglesias), Slowboring.com
Credits:
Ness Smith-Savedoff, Producer & Engineer
Erikk Geannikis, Producer, Talk Podcasts
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Who's afraid of a big bad poll? | Explain It to Me podcast - Listen or read transcript on Metacast
