DataFramed

#43 Election Forecasting and Polling

October 08, 2018 Season 1 Episode 43
DataFramed
#43 Election Forecasting and Polling
Chapters
DataFramed
#43 Election Forecasting and Polling
Oct 08, 2018 Season 1 Episode 43
DataCamp
Andrew Gelman speaks with Hugo about statistics, data science, polling, and election forecasting.
Show Notes

Hugo speaks with Andrew Gelman about statistics, data science, polling, and election forecasting. Andy is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University and this week we’ll be talking the ins and outs of general polling and election forecasting, the biggest challenges in gauging public opinion, the ever-present challenge of getting representative samples in order to model the world and the types of corrections statisticians can and do perform. 

"Chatting with Andy was an absolute delight and I cannot wait to share it with you!"-Hugo 

 Links from the show 

FROM THE INTERVIEW

FROM THE SEGMENTS

Statistical Lesson of the Week (with Emily Robinson at ~13:30)

Data Science Best Practices (with Ben Skrainka~40:40)


 Original music and sounds by The Sticks.



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