319. Emma Abrahamson, Running Content Creator
"I've given up on myself so many times. And now this time, I'm so determined to get over this hump. I don't want to give up on myself again. That's what gets me out the door these days."
Emma Abrahamson is the definition of a content creator: The former University of Oregon cross-country runner has an insanely popular YouTube channel with 69,000 subscribers, a combined Instagram following of more than 80,000 on her @onecrazedfoodie account and her personal one, hosts the Convos Over Cold Brew podcast, and recently released the Crazed Foodies e-book. By sharing her own stories, Emma has become a strong role model for the next generation of runners. She's known for her authenticity, her humor, and of course, her yummy recipes. On this episode, Emma talks about her road to running industry fame, and offers her honest, vulnerable takes on mental health, body image, and confidence. She talks about her transition from college athlete to "real person," and talks about what it's like being in a family of runners (she's one of three sisters, all of whom are sub-5:00 milers!).
SPONSOR: AfterShokz — Visit ontherun.aftershokz.com for 15% off wireless headphones.
What you'll get on this episode:
- How Emma got started as a content creator (5:45)
- The pressure that comes with living online (12:00)
- On developing thick skin and responding to negative feedback or criticism (14:30)
- On being a role model (16:30)
- Emma talks about body confidence (20:20)
- How Emma got into covering races and track meets on YouTube (27:45)
- All about Emma's triathlon training (37:20)
- What keeps Emma going on tough days? (52:50)
What we mention on this episode:
"4 Women Runners Explain Why It's Important to Embrace Your Body As It Changes," via Runner's World
Intuitive Eating by Evelyn Tribole
Follow Emma:
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.
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.