Work Blue, Wear Purple (feat. Elie Honig, Dustin Nickerson)
Today, electors cast their votes for Biden and Harris, Russian spies are behind a massive hacking campaign of our agencies including the Treasury and DHS, if Republicans are plotting to challenge the election in Congress they will fail, a Michigan State Rep is stripped of his committee positions after inciting violence, and Twitter confirms Trump could be banned after Biden’s inauguration, plus Mandy Reeder (@mandy_reeder) drops in to help AG deliver the Hot Notes and your Good News.
Follow our guests on Twitter:
CNN Legal Analyst
Dustin Nickerson (@DustinNickerson)
Comedian
Have some good news, a confession, a correction, or a case for Beans Court?
Want to support the show and get it ad-free and early?
https://dailybeans.supercast.tech/
Or
https://patreon.com/muellershewrote
- The first 100 people to use the code BEANS when checking out will save 15%! Again, that’s nebia.com/beans and use that code BEANS to save 15%!
- Special offer for DAILYBEANS listeners, get 10% off your first month at betterhelp.com/DAILYBEANS
- Helix is offering up to 200 dollars off ALL mattress orders for our listeners http://helixsleep.com/DAILYBEANS
Reminder - you can see the pod pics if you become a Patron. The good news pics are at the bottom of the show notes of each Patreon episode! That’s just one of the perks of subscribing! patreon.com/muellershewrote
Listener Survey:
http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=short
Follow the Podcast on Apple:
https://apple.co/3XNx7ck
Want to support the show and get it ad-free and early?
https://patreon.com/thedailybeans
https://dailybeans.supercast.com/
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.