222. Kaitlin Goodman Recaps the 2020 U.S. Olympic Marathon Trials
"I know I wasn't a favorite, but I felt that if a door opened, I was fully ready to sprint through it."
When Kaitlin Goodman, a 2:32 marathoner who runs for adidas and the Boston Athletic Association, arrived at the start line of the 2020 U.S. Olympic Marathon Trials, she felt fit, strong, and ready to race. Kaitlin was ranked 29th in the field of more than 500 women, and she was in Atlanta to be at the front of the race. But just half a mile into the 26.2-mile run, Kaitlin fell, and in an instant, her dreams of finishing at the top of the field were shaken. On this episode, Kaitlin vividly recounts what the day was like for her. (Warning: This one is a tear-jerker.) At the end of the episode, Kaitlin — who holds a master's in public health from Brown University and is a consultant in the field — shares what she wishes everyone understood about the current state of the world and the impact of the COVID-19 pandemic.
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 Kaitlin is feeling post-Trials (5:55)
- Kaitlin recaps her race at the 2020 U.S. Olympic Marathon Trials (12:00)
- On recovering from the race (40:35)
- Kaitlin talks about COVID-19 from the perspective of a public health professional (46:00)
What we mention on this episode:
Kaitlin Goodman on Episode 160 of the Ali on the Run Show
What It Was Like Being in Atlanta for the 2020 U.S. Olympic Marathon Trials
Follow Kaitlin:
Follow Ali:
- Instagram @aliontherun1
- Like the Facebook page
- Join the Facebook group
- Twitter @aliontherun1
- 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.