PMS 2.0 056 - March Is A Wild Month... Dan Dakich & Mike Florio Convos As Well
Today's show is highlighted for two incredible interviews. First, friend of the show, ESPN college basketball analyst, former head coach, and current radio host, Dan Dakich calls into the show to break down the NCAA Tournament. They cover who some of the teams he likes going in are, why Zion Williamson is different than anyone else he's ever seen, who some of his sleeper upset picks, shares some of his favorite Bob Knight stories, and he answers questions from the around the room in another rendition of "The Room Wants To Know." It's everything you need to get ready for March Madness (2:53-36:02). Later, the Blogfather, friend of the show, and one of the smartest football minds around, Mike Florio calls into the show for a new segment called, "INTERNET BEEF," to discuss his recent war of words with Richard Sherman on Twitter. He breaks down why he was right in his argument with Sherman, what his logic was, and highlights a few more things around the league that carry importance and might try to steal some of the spotlight from the NCAA Tournament. They also do a little Hockey Talk, and discuss who Mike likes for March Madness (42:56-1:11:06). Pat and the guys also discuss their St. Patrick's Day together in Indianapolis and put some of the pieces back together, Pat gives a little wedding update and how he's finally convinced Sam to let Zito be involved in the wedding, the guys chat about their new Bro Bro Bro Bets podcast and what their mission is, and Digs got a new dog which leads to a discussion about Pat facing heat to add more animals to his farm, despite a written contract that says otherwise. Pat also takes to Instagram to answer questions from listeners in the first edition of new segment, "Chat With Pat." Today's a good one. Come and laugh with us, cheers.
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.
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.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
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.