Ep. 1571 - Why The Hard Left Is Cheering Queen Elizabeth II's Death
Click here to join the member exclusive portion of my show: https://utm.io/ueSEj
Queen Elizabeth II dies at the age of 96; radical Leftists take the opportunity to tear into her life and legacy; and Podcast Movement apologizes for apologizing for my existence.
Become a DailyWire+ member today to access movies, shows, and more: https://utm.io/ueMfc
Check out Morning Wire on Apple Podcasts, Spotify, DailyWire+, or wherever you listen to podcasts.
- - -
Today’s Sponsors:
Protect your online privacy with ExpressVPN. Get 3 Months FREE! EXPRESSVPN.com/BEN
Policygenius is your one-stop shop to find the insurance you need at the right price. Head to policygenius.com/SHAPIROHOME to get your free home insurance quotes and see how much you could save.
Stop funding woke corporate agendas. Switch to PureTalk instead. Get one month FREE when you enter promo code SHAPIRO at puretalk.com
Ring Alarm is an award-winning home security system with available professional monitoring when you subscribe. Learn more at www.Ring.com/BEN
Try X-Chair RISK FREE for 30 days. Save $100 OFF your X-Chair at xchairSHAPIRO.com or call 1-844-4xchair.
ZipRecruiter makes hiring so much easier because they do the work for you. Try it For FREE www.ZipRecruiter.com/dailywire
- - -
Socials:
Follow on Twitter: https://bit.ly/3cXUn53
Follow on Instagram: https://bit.ly/3QtuibJ
Follow on Facebook: https://bit.ly/3TTirqd
Subscribe on YouTube: https://bit.ly/3RPyBiB
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.