321. Sara Hall, Winner of the Marathon Project
"I think what I'll take away from this sport is the resiliency it built in me. No matter what else life throws at me, I'll know how to keep moving forward and fighting through it."
The last time Sara Hall was on the Ali on the Run Show, she had just placed second — with the finishing kick seen around the world — at the elite-only London Marathon. This time, she's fresh off running the elite-only Marathon Project — and this time, she took the win. In December, Sara won the Marathon Project with an 89-second personal best time of 2:20:32. She fell short of her goal that day, which was to run an American Record, besting Deena Kastor's 2:19:36. On this episode, Sara talks about what it felt like to miss that goal, but to still have an incredible day on the run. She offers an honest take on running your best time ever but not feeling satisfied. (Relatable!) Plus, she explains what it felt like attempting to run a 5:19 pace for 26.2 miles, gives a look back at her greatest 2020 takeaways, and talks about her goals for the 2021 Olympic Track and Field Trials.
SPONSOR: UCAN — Go to ucan.co/ontherun for 20% off your next UCAN order! (Sara Hall's fuel of choice!)
What you'll get on this episode:
- On running better than ever at 37 (3:35)
- Recapping the Marathon Project (9:15)
- What does 5:19 pace feel like? (24:00)
- Which was more fun: London or the Marathon Project? (28:50)
- Memories from mile 20 (34:30)
- How it felt when the American Record started slipping away (40:30)
- What is Sara proudest of? (50:10)
What we mention on this episode:
Sara Hall on Episode 300 of the Ali on the Run Show
Sara and Ryan Hall on Episode 144 of the Ali on the Run Show
Calum Neff on Episode 318 of the Ali on the Run Show
The Run Free podcast with Ryan Hall
Follow Sara:
Follow Ali:
- Instagram @aliontherun1
- Like the Facebook page
- Join the Facebook group
- Twitter @aliontherun1
- Support on Patreon
- 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.