Who's afraid of a big bad poll?

​​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 As the Biden administration gears up, we'll help you understand this unprecedented burst of policymaking. Sign up for The Weeds newsletter each Friday: vox.com/weeds-newsletter. The Weeds is a Vox Media Podcast Network production. Want to support The Weeds? Please consider making a contribution to Vox: bit.ly/givepodcasts About Vox Vox is a news network that helps you cut through the noise and understand what's really driving the events in the headlines. Follow Us: Vox.com Facebook group: The Weeds Learn more about your ad choices. Visit podcastchoices.com/adchoices