365. Catching Up with Tatyana McFadden
"We spend so much time in our lives comparing ourselves. So my mantra is, life isn't about what you don't have. It's what you do with the gifts you are given."
Tatyana McFadden is one of the most-decorated athletes of all time. She is a 17-time Paralympic medalist (she's been competing at the Games since she was 15!) and 23-time World Marathon Majors winner, and she's currently gearing up for this year's Paralympic Games in Tokyo, where she hopes to compete in every distance from the 100m up to the marathon. On this episode, Tatyana catches us up on all that's happened since the last time she was on the Ali on the Run Show. She talks about her film, Rising Phoenix, which she both helped produce and stars in. She talks about her friendship with Prince Harry, and about being on an episode of Project Runway. And she talks about her ambitious plans for Tokyo this summer, where she will compete in the Paralympics for the sixth consecutive time.
SPONSOR: AJC Peachtree Road Race — Register for this year's race today at ajc.com/peachtree.
What you'll get on this episode:
- Tatyana talks about her upcoming race plans (4:45)
- How is Prince Harry doing? (6:45)
- All about Rising Phoenix (9:00)
- Tatyana's advice for extending longevity in this career (25:30)
- Reflecting on life a year ago (33:20)
- All about being on Project Runway (41:00)
- On Joe Biden including the word "disability" in his victory speech last year (47:20)
- How Tatyana trains to be successful at such a range of distances (50:45)
- Who does Tatyana look up to? (54:30)
- What the qualifying process looks like for the Paralympics (56:00)
What we mention on this episode:
Tatyana McFadden on Episode 115 of the Ali on the Run Show
Rising Phoenix on Netflix
Follow Tatyana:
Follow Ali:
- Instagram @aliontherun1
- 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.