Catching Up With 2:21 Marathoner Betsy Saina Before The 2024 U.S. Olympic Marathon Trials
"The U.S. has become my home because it's been over ten years since I moved there. That makes me feel really emotional. My heart is full. I'm so grateful to be able to represent the U.S., after all I've gained in living there: to my two sisters living there, my son being born in the U.S. – it's a family thing for me. So I'm running for the whole family now."
With all the excitement leading into the Olympic Marathon Trials on February 3rd, it seems like a good time to reacquaint listeners with some of the top contenders. This week, Kyle Merber spoke with Betsy Saina, the former three-time NCAA champion from Iowa State and fifth place finisher in the 2016 Olympic 10,000m. In April 2021, Saina shifted her allegiance and is now eligible to represent the United States. Following her 2:21:40 finish at the Tokyo Marathon and a win at the Sydney Marathon on a hot day in September, where she ran 2:26:47, there is certainly a possibility of her being in Paris on the horizon.
Host: Kyle Merber | @kylemerber on Instagram
Guest: Betsy Saina | @sainabetsy 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)
☕️ THE CITIUS CAFE (PRESENTED BY HOKA) will be open for the weekend of the U.S. Olympic Marathon Trials in Orlando. We’re super stoked to share that we will be partnering with HOKA for all of the weekend’s festivities next month in Florida – which will include live panels with special guests, giveaways, a big shakeout run and a race day watchalong from the CITIUS Cafe at 151 E Washington St.
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.