Fast Talk 308: How to Navigate a World of Exploding Metrics and Estimates with Dr. Stephen Seiler and Marco Altini
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Feb 29, 2024 
Exploring the challenges of tracking metrics and estimates in training, from validating data to individualizing approaches. Discussing the complexities of measuring training metrics and the potential negative effects of excessive monitoring. Delving into the challenges of translating lab measurements to real-world cycling scenarios and the importance of accurate metrics for sports performance tracking. Exploring the significance of subjective metrics like RPE alongside objective measurements and warning against overreliance on too many measurements for tracking performance.
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Categorizing Training Data
- Training data can be categorized into external load (what was done), internal physiology (how the body responded), and internal perception (how it felt).
- Strain represents lingering effects lasting beyond 24 hours, impacting heart rate variability and readiness.
Specificity of Power
- Jack Burke found that training on climbs didn't translate to equal power on flats.
- Muscle activation differs at different speeds, requiring specific training for varied terrain.
Wearable Estimates vs. Physiological Measurements
- Wearables estimate many parameters, including sleep scores and readiness, that lack validation and could mislead athletes.
- Focus on measuring actual physiology (heart rate, HRV) rather than relying on composite scores.