Taylor Rohatinsky Shares Her Story Of Running For BYU & A 4:33 Mile After Only Two Years Of Running + Exclusive Stories With Sadie Engelhardt
Today on the podcast is Taylor Rohatinsky!
Taylor Rohatinsky has established herself as a notable athlete at Brigham Young University (BYU), ranking fifth all-time in the women's indoor mile with a time of 4:33.79. She played a crucial role in achieving a school record and national-qualifying time of 10:49.24 this past indoor season. Coming from a family with a strong running background, her uncle Josh Rohatinsky was the 2006 NCAA Men's Cross Country Individual National Champion. Taylor herself has achieved impressive rankings at BYU, including third all-time in the 5000m, fourth in the 10,000m, and seventh in the indoor 3000m. Before attending BYU, Taylor excelled in high school track and field, winning multiple championships and setting records in the 800m, 1600m, and 3200m events. She has a strong academic background, receiving various academic honors while participating in multiple sports. Taylor's dedication to athletics and impressive achievements make her a standout athlete both on and off the track.
In today's episode we deconstruct Taylor's incredible story. From her late start in the sport, to her flourishing over the past two years of doing it, her story is nothing short of amazing. We also bring on special guest Sadie Engelhardt for some fun light subjects and exclusive stories.
You can listen wherever you find your podcasts by searching, "The Running Effect Podcast." If you enjoy the podcast, please consider following us on Spotify and Apple Podcasts and giving us a five-star review! I would also appreciate it if you share it with your friend who you think will benefit from it.
The podcast graphic was done by the talented: Xavier Gallo.
S H O W N O T E S
-GET 30% OFF YOUR 2BEFORE ORDER WITH CODE "therunningeffect30": 2before.com
-My Instagram: https://www.instagram.com/therunningeffect/?hl=en
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.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Reusable atomic knowledge units extracted from the episode.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
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.