Karin talks to Political Scientist Seth Masket about his new book Learning from Loss: The Democrats 2016-2020. They discuss the different narratives Democrats used to explain their loss in 2016 and how that affected the 2020 Primary race. His findings show that electability and identity featured highly in people's calculations and that views on electability often coloured how Party leaders and activists thought about the selection of their nominee. 
She also briefly covers the news about Trump's nomination of Amy Coney Barrett to replace Ruth Bader Ginsburg on the Supreme Court, and the bombshell New York Times story unveiling 20 years worth of Trump's tax returns: https://www.nytimes.com/interactive/2020/09/27/us/donald-trump-taxes.html?action=click&module=Spotlight&pgtype=Homepage
Seth's book can be found here: https://www.cambridge.org/core/books/learning-from-loss/84FBCDB9534B3F80C26C2CAE672951CE

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