PMS 2.0 285 - NFL Trade Deadline, Anthony Gonzalez, Mark Schlereth, & AJ Hawk
On today's show, Pat and the boys keep an eye on everything happening as the 2020 NFL trade deadline approaches and wonder who will be sellers, who will be buyers, and who won't do a damn thing. Also joining the show is current US Representative for Ohio's 16th Congressional District, former 1st round pick of the Indianapolis Colts and Ohio State legend, Anthony Gonzalez joins the show. Pat and Anthony chat about what exactly he does, how difficult it is for young people to navigate politics, if he's going to run for president, and much more (23:53-46:57). Next, 3x Super Bowl Champion, 2x Pro Bowler, member of the Denver Broncos 50th Anniversary Team, current color commentator for the NFL on FOX, and friend of the program, Mark "Stink" Schlereth joins the show. Pat and Mark chat about everything going on in the NFL right now, his thoughts on the Thursday Night Football game between the Packers and 49ers, whether or not the Steelers can beat the Chiefs, and his disdain for fans that complain about his calls during games (50:48-1:19:34). Later, on another installment of McAfee & Hawk Sports Talk, Pat and AJ discuss the trade deadline and who think think needs to make a move and much more (1:22:27-1:43:05). Make sure you subscribe to youtube.com/thepatmcafeeshow and listen every day on Mad Dog Radio, Sirius XM Channel 82. We appreciate you all for listening, 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.
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.