Ep. 1144 - Sam Bankman-Fried Didn't Kill Himself
Click here to join the member exclusive portion of my show: https://utm.io/ueSEl
Financial scammer and Democrat donor Sam Bankman-Fried is arrested before he can testify on Capitol Hill, Biden’s puppy fetishist nuclear apparatchik gets fired after allegedly stealing a second woman’s luggage, and the North Carolina state treasurer gets tough with BlackRock.
- - -
DailyWire+:
Become a DailyWire+ member for 30% off by using code HOLIDAY at checkout: https://bit.ly/3SsC5se
Get 30% off Jeremy’s Razors Gift Bundles: https://bit.ly/3SsC5se
Get your Michael Knowles merch here: https://bit.ly/3X6tlKY
- - -
Today’s Sponsors:
Good Ranchers - Use code "KNOWLES" at checkout and get $35 off your order: https://www.goodranchers.com/knowles
Mizzen + Main - Get $35 OFF any regularly priced order of $125 with code 'KNOWLES' at https://www.mizzenandmain.com/.
- - -
Socials:
Follow on Twitter: https://bit.ly/3RwKpq6
Follow on Instagram: https://bit.ly/3BqZLXA
Follow on Facebook: https://bit.ly/3eEmwyg
Subscribe on YouTube: https://bit.ly/3L273Ek
Learn more about your ad choices. Visit podcastchoices.com/adchoices
Learn more about your ad choices. Visit podcastchoices.com/adchoices
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.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
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.