Rai Benjamin On How He Fell In Love With Cycling During The Offseason
"But there are not a lot of Black cyclists that ride, obviously. Justin Williams' whole thing is about getting more Black people on bikes and just people on bikes in general. It was awesome because I've never met those guys before and they knew nothing about me and it was completely welcoming and friendly. It's a great community. Everyone wants to help out. Everyone wants to invite you to these social rides. You're not just addicted to riding but more being in a setting with those people."
We all know Rai Benjamin from the many global medals, but this interview is not about any of that. This fall I saw that the Mt. Vernon native had taken up a new activity, one that is most usually reserved for retired distance runners like myself. We caught up last week because I was intrigued to hear more about how and why the American record holder at the 400m hurdles had become such a serious cyclist during the off-season.
You can read the full interview from The Lap Count newsletter here: https://citiusmag.com/articles/the-lap-count-rai-benjamin-interview-on-cycling
Hosted by: Kyle Merber – @kylemerber on Instagram
Guest: Rai Benjamin – @kingben on Instagram
SUPPORT OUR SPONSORS
🍊 OLIPOP is a prebiotic soda with only 2-5g of sugar that is good for your gut health. – and it's delicious. Use code CITIUS25 for 25% off non-subscription orders. Learn more at https://DrinkOlipop.com (click the link or use our promotional code for the discount)
HOW TO SUPPORT THE PODCAST
🎙️ Subscribe and leave a review on Apple Podcasts.
💵 Pledge any dollar amount to us on Patreon.com/CITIUSMAG or Hit us on Venmo @CITIUSMAG
🎥 Subscribe to the CITIUS MAG YouTube channel
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.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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.