#322: Talking TMI Topics with a Former Runner’s World Editor
Sarah and co-host Molly Williams keep it real (very real!) with guest Meghan Kita, author of How to Make Yourself Poop: And 999 Other Tips All Runners Should Know and a former editor at Runner’s World. The trio covers an array of TMI topics, leaving no turd, uh, stone unturned. Meghan, a first-time mom with a 5-month-old baby, starts by oversharing about her return to running post-baby, as she explains (in some detail!) why she saw a pelvic-floor physical therapist. From there, Meghan details how she juggles breastfeeding, pumping, and running. There’s piles of poop advice, including three tips for getting things moving pre-run. Molly explains why caffeine affects the urgency to pee—and how to ease that issue. Molly asks Meghan several male-oriented questions—then makes an outrageous admission that sends SBS into peals of laughter. The conversation changes to chafing, including a clever solution when a tee or socks are rubbing the wrong way on a run. Meghan proves why she’s the McGyver of the running world. All in all, an informative + hilarious episode! This week’s Nuun-drinking game: Toss some back whenever someone says the words “hot dog.” (Just be careful to not spew the hydration while laughing!) In the intro, the two running buddies reminisce about their June trip to Alaska, and SBS shares an update about her elderly mother. The TMI expert hops on at 18:55.
If you're interested in details about joining group of #motherrunners training for 3 Days at the Fair road ultra, please sign up here.
Have a Disney Challenge queued up for January 2019? Our Dopey Program + Goofy Program will get you through many happy miles--no pixie dust required!
Thanks to Aaptiv for supporting AMR Podcast. New members get 30% off annual membership at aaptiv.com/AMR30
Save $50 off select mattresses by visiting casper.com/AMR and using promo code AMR
Learn more about your ad choices. Visit megaphone.fm/adchoices
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.