Can You Still Predict Elections? | Stats + Stories Episode 162
Podcast |
Stats + Stories
Media Type |
audio
Podknife tags |
Data Science
Interview
Technology
Categories Via RSS |
Education
Publication Date |
Oct 29, 2020
Episode Duration |
00:28:41
With the 2020 U-S presidential election all but upon us, media are rife with prognostications about which way voters are going to swing. Will reliably red states stay red or will voters produce a blue wave that crashes across the country? Will economic uncertainty trump concerns over COVID 19? Is political polarization really as set-in-stone as some have suggested? Understanding voter behavior is a focus of this episode of Stats and Stories where we explore the statistics behind the stories and the stories behind the statistics with guest Andrew Gelman. Andrew Gelman is a professor of statistics and political science at Columbia University. He has received the Outstanding Statistical Application award three times from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. His research interests include a wide range of topics, including: why it is rational to vote, why campaign polls are so variable when elections are so predictable and why redistricting is good for democracy among various others.

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review