Clusterf*cked Podcast Por Roger King arte de portada

Clusterf*cked

Clusterf*cked

De: Roger King
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Liberals are too clustered in major cities, mainly in blue states. This is why Hillary Clinton can get 3 million more votes and still lose the election. Progressives and liberals are not spread out enough across the country in large enough numbers to win more elections. What can liberals and progressives do to turn more of the map blue? The short answer is…MOVE! In this podcast, we talk to people in places that aren't blue. Sometimes it's liberals who are on the ground in deep red territory. Other times, it's people who don't agree with liberals. But always with the goal of answering these questions: What will bring more liberal voters to red states? How can liberals persuade voters who are already there? The Clusterf*cked Podcast is an exploration of a new liberal movement…that must be literal!Copyright Distraction Inc. 2019 Ciencias Sociales
Episodios
  • Episode 46 - Thoughts on the Election
    Nov 20 2024

    In an abbreviated special episode, Host Roger King gives his thoughts on a very disappointing Presidential election result for Democrats and addresses some of the theories as to what happened.

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    21 m
  • Episode 45 - Michael McDonald, Founder of The United States Election Project and the Early Vote Tracker
    Oct 30 2024

    Through his early vote tracker, University of Florida Political Science Professor Michael McDonald tracks and analyzes the early vote data for all 50 states.

    He and Roger discuss what we are seeing in the early vote, particularly in the swing states, as 50 million Americans have already voted in the 2024 election.

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    49 m
  • Episode 44 - Natalie Jackson, Fmr. Sr. Polling Editor, HuffPost & VP, GQR Research
    Jul 18 2024

    Natalie Jackson has been a professional pollster for 20 years. She and Roger have a calm & rational discussion about the actual status of the Presidential election race, the problems with polling alternative Dem nominees to Biden, whether Trump's polling numbers are accurate, and more.

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    43 m
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