185. Janelle Hartman, Final Finisher of the 2018 New York City Marathon
"Everyone talks about the roar on first avenue. Mine was trying to dodge the roar of the cleaning trucks!"
Last year, 55-year-old Janelle Hartman became a marathoner. After running more than 100 races and volunteering at just as many, Janelle decided that 2018 was the year she would run the TCS New York City Marathon. And on this episode, she talks about what it's like to be the very last finisher of the marathon: Janelle was the final finisher at the 2018 New York City Marathon. She paints a picture about what it was like running the marathon in the dark, being moved onto the city sidewalks, without that famous roar of screaming fans on First Avenue. And she talks about why runners shouldn't be afraid of coming in last, and why it should be celebrated. She opens up about the times in her own life when she let her fears, worries, and concerns hold her back from pursuing her dreams, and shares what it's like on the other side of success. When Janelle isn't running or volunteering, she works as a psychotherapist in a nursing home.
Thank you to AfterShokz for sponsoring this episode of the Ali on the Run Show! CLICK HERE for $50 off your Aeropex wireless headphone endurance bundle!
What you'll get on this episode:
- How it felt to be the final finisher of the 2018 TCS New York City Marathon (4:20)
- Janelle recaps her 2018 race (7:10)
- Janelle's message to runners who don't want to sign up for races because they're "afraid of coming in last" (20:30)
- On receiving the 2018 Joe Kleinerman Award from New York Road Runners (27:00)
- Janelle talks about how she started running at 49, her inspiration, and her decision to run a marathon at 55 (31:40)
- What does Janelle wish more runners understood about what it takes to make a race happen? (50:00)
- Janelle talks about her career in psychiatry (54:00)
What we mention on this episode:
- Peter Ciaccia on Episode 96 of the Ali on the Run Show
- Project Finish
- The Galloway Method
- Run, Fat Boy, Run
Follow Janelle:
Follow Ali:
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.