Empirical Cycling Podcast

Empirical Cycling Podcast

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How training makes you faster; deep dives in physiology and coaching; edu

Watts Doc #63: Confronting Uncertainty In Training And Data
PodcastApr 29, 20261h 48m

Watts Doc #63: Confronting Uncertainty In Training And Data

In this episode, host Coley Moore and coach Gita Minas explore the inherent uncertainty in athletic training and how coaches can use data and experience to make better predictions. They critique the "algorithmic" mindset that promises guaranteed results, arguing instead...

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Ten Minute Tips #76: Building Race Fitness
PodcastApr 16, 20261h 10m

Ten Minute Tips #76: Building Race Fitness

In this episode of the Empirical Cycling Podcast, host Coley Moore and coach Gidaminas break down the transition from a general aerobic build phase to race‑specific fitness. They compare generic endurance work—like FTP intervals and sweet‑spot rides—to the nuanced, discipline‑specific...

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Ten Minute Tips #75: The Art Of Autoregulation (Training To Vibes)
PodcastMar 26, 20261h 20m

Ten Minute Tips #75: The Art Of Autoregulation (Training To Vibes)

In this episode of the Empirical Cycling Podcast, host Coley Moore and coaches James and Gediminas explore "vibes training"—a form of auto‑regulation where athletes adjust workouts daily based on sleep, nutrition, mood, weather, and other real‑time factors. They contrast rigid,...

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Ten Minute Tips #74: FTP Training Mistakes (And Solutions)
PodcastMar 14, 20261h 11m

Ten Minute Tips #74: FTP Training Mistakes (And Solutions)

In this episode of the Empirical Cycling Podcast, hosts Coley Moore, Erica, and Fabiano dissect common mistakes cyclists make when trying to improve their Functional Threshold Power (FTP) and offer practical solutions. They discuss flawed testing protocols, the danger of...

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Watts Doc #62: Setting Up Your N=1 Training Experiment
PodcastFeb 25, 20261h 49m

Watts Doc #62: Setting Up Your N=1 Training Experiment

In Watts Doc #62, hosts dive into how cyclists can design and run their own n=1 training experiments, covering the fundamentals of hypothesis formulation, data collection, and analysis. They walk listeners through selecting variables, establishing baselines, and using tools like...

By Empirical Cycling Podcast