The Running Explained Podcast cover image

The Running Explained Podcast

s4/e21 Data Driven Training for the Everyday Athlete with Jonah Rosner, MS, CSCS

Jun 13, 2024
Sports scientist Jonah Rosner discusses the importance of data-driven training for athletes, emphasizing the balance between objective data and personal intuition. Topics include heart rate monitoring accuracy, individualized data collection, leveraging subjective feedback, optimizing training through data-driven approaches, and the benefits of using data in everyday training. The conversation highlights the significance of trends over individual data points and the impact of external factors like heat on performance.
01:02:19

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Consider the accuracy and reliability of wearable data in running, balancing objective metrics with subjective feelings for informed training decisions.
  • Building a baseline of personal data over time helps understand individual patterns, combining subjective feelings with metrics like heart rate for tailored training adjustments.

Deep dives

Navigating Technology and Data in Running

Using wearables and technology in running can provide valuable insights, but accuracy and reliability need to be considered. The podcast emphasizes the importance of being skeptical about data from devices like smartwatches due to potential inaccuracies, especially in measuring metrics like heart rate. It highlights the need to not solely rely on one data point and to consider subjective feelings and multiple sources of information in training decisions.

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