379. Becs Gentry, Peloton Tread & Strength Instructor
"You give yourself your own life raft, and it feels so great to come up for air and think, jeez, that was a close call! But I'm here. And it's given me strength to go further and deeper than that next time."
Becs Gentry is a Peloton Tread and Strength instructor, and in March, she added another very impressive title to her fitness resume: 2:32 marathoner and Olympic Marathon Trials competitor for Team Great Britain. On this episode, Becs — who is from the UK but has lived in New York City since she took the Peloton job in 2019 — talks about what it was like being invited to compete for Team GB, and about what it took to finish fourth that day and to run a nearly five-minute personal best time. She talks about her training and how she prepared for race day, including how she balances her own training with teaching and how she survived a 22-mile run on a treadmill one day. She talks about the dark days and the tough runs, and how she got through them, and shares her own struggles with confidence both on and off the roads and treadmill. Plus, she talks about privacy and why she didn't tell her parents she was auditioning to be a Peloton instructor, and why she didn't tell people she was training for the Trials until shortly before race day. Finally, Becs talks about how she's learned to deal with the pressure of racing, whether it's an unplanned 5K (she did it once and says "never again") or an ultramarathon (of which she's done several).
SPONSOR: AfterShokz — Visit ontherun.aftershokz.com for 15% off wireless headphones.
What you'll get on this episode:
- How the opportunity to run the Olympic Trials came about, and when it first became a dream for Becs (6:45)
- Where Becs was at with running when she found out she would be competing in the Trials (17:00)
- How Becs trained for the Trials (21:00)
- On confidence (24:15)
- That time Becs ran 22 miles on a treadmill (30:20)
- How Becs balances teaching at Peloton with her own training (34:20)
- What race day was like (47:00)
- On dealing with tough moments during races — and getting past them (1:03:10)
- How Becs recovered, physically and emotionally, from the Trials and from the 2019 New York City Marathon (1:05:10)
- Did Becs have any idea how big Peloton would be, and how well-known she would be? (1:13:00)
- Why Becs didn't tell her parents she auditioned for the Peloton job (1:16:30)
What we mention on this episode:
Jess Sims on Episode 261 of the Ali on the Run Show
Tunde Oyeneyin on Episode 311 of the Ali on the Run Show
Olivia Amato on Episode 344 of the Ali on the Run Show
Matty Maggiacomo on Episode 350 of the Ali on the Run Show
Follow Becs:
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.
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.