Mike Francesa & Brad Thomas break down the Preakness Stakes field
Mike Francesa 2022 Preakness predictions. Brad Thomas joins Mike as they break down the field for the 147th running of The Preakness. Is Epicenter the favorite? Should Secret Oath even be in the Preakness? All this and more on this edition of The Mike Francesa Podcast.
00:00 Mike is disappointed in the sport -- for now
01:12 Mike and Brad review the blistering pace of the Kentucky Derby
04:24 In the Preakness, Epicenter will most likely be the favorite
06:38 Thoughts on Early Voting
08:54 Should Secret Oath be in the Preakness
11:39 A look at the rest of the field in the Preakness
14:01 Any excuses for Kentucky Derby non-winners
19:47 The Preakness has two horses that are above the rest
21:43 Thoughts on The Black Eyed Susan Stakes
23:04 Mike and Brad look ahead to the Belmont
25:32 NHL: how far will the Rangers go
Subscribe to The Mike Francesa Podcast so you don't miss a single episode.
Follow Mike Francesca & BetRivers Network on Twitter:
🐣 Mike Francesa (@MikeFrancesa) https://twitter.com/MikeFrancesa
🐣 BetRivers Network (@BRNPodcasts) https://twitter.com/BRNPodcasts
📧 Email your questions to mike at Mikefrancesapodcast@gmail.com
On the road? Listen to The Mike Francesa Podcast on:
Apple Podcasts - https://apple.co/3FYQsix
Spotify - https://spoti.fi/3LutrVL
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.