(Toilet) Paper Trail
Friday, February 11th, 2022
Today, Some of the documents recovered by the National Archives from Mar-a-Lago were clearly marked as classified, some as top secret; 3 donors to Susan Collins and one of her PACs have been indicted; the 1/6 committee finds a gap in the White House phone records during the capitol attack; Trump apparently flushed documents down the White House toilet; plus Aimee Carrero and Allison deliver your Good News.
Follow our guest:
Leigh McGown
https://linktr.ee/politicsgirl
Follow AG and Dana on Twitter:
Dr. Allison Gill
https://twitter.com/allisongill
https://twitter.com/MuellerSheWrote
https://twitter.com/dailybeanspod
Dana Goldberg
Follow Aimee on Instagram:
Aimee Carrero (@aimeecarrero)
Listener Survey:
http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=short
Have some good news, a confession, a correction, or a case for Beans Court?
https://www.dailybeanspod.com/confessional/
Want to support the show and get it ad-free and early?
https://dailybeans.supercast.tech/
Or
https://patreon.com/thedailybeans
- To find your perfect sofa, check out allform.com/dailybeans. Allform is offering twenty percent off all orders for our listeners at allform.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 opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
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.