212. Ramblings on the Run with Ali & Matt
Welcome to the second edition of a new monthly series on the Ali on the Run Show: Ramblings on the Run with Ali & Matt. Every month, Matt Chittim — host of the Rambling Runner podcast and the Road to the Olympic Trials show — and I will come together to talk about running industry news, our own running, and things we're loving right now, and to answer listener questions about running and podcasting. It's something new we're trying, so let us know what you think and what you want more (or less!) of. On this episode, it's all about Trials talk. We share our excitement for the 2020 U.S. Olympic Marathon Trials, talk about our predictions about what might happen while admitting none of us really have any idea, and answer listener questions about podcasting.
What we mention on this episode:
Peter Bromka on Road to the Olympic Trials
Lou Serafini on Road to the Olympic Trials
Sarah Ibbetson @runningbcba on Instagram (2:45.01 series)
"In Celebrating Local Olympic Hopefuls, We Lift Up Our Communities" by Erin Strout for Women's Running
Jay Holder on The CITIUS MAG Podcast
Kaitlin Gregg Goodman on Episode 160 of the Ali on the Run Show
Sara Hall on Episode 144 of the Ali on the Run Show
Steph Bruce on Episode 206 of the Ali on the Run Show
Steph Bruce on Episode 104 of the Ali on the Run Show
Alison Wade and Erin Strout on Road to the Olympic Trials
Elle Purrier on Episode 210 of the Ali on the Run Show
Follow Matt:
Follow Ali:
- Instagram @aliontherun1
- Like the Facebook page
- Join the Facebook group
- Twitter @aliontherun1
- Blog
- Strava
Listen & Subscribe:
SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!
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.