Testing and Monitoring Strength: How to Use Data in Training

This episode examines how strength testing and monitoring should function inside real training environments where decisions matter more than gadgets. Anthony explains why the extremes of never measuring and constantly measuring both fail, and why the real objective of data is to reduce uncertainty across long time horizons. The conversation walks through what high performance tools can and cannot tell us, and why technology only improves outcomes when paired with sound coaching judgment. From there, the focus shifts to the practical system most athletes can apply immediately, including maintaining a consistent logbook, using RPE honestly, and applying simple autoregulation principles. Anthony also discusses why strength must often be protected rather than maximized, especially when priorities move toward endurance or event preparation. The result is a framework that helps athletes know when to push, when to hold, and when change is required.

Key Topics Covered:
The episode explores the purpose of measurement in strength training, the limits of modern monitoring technology, and the difference between collecting numbers and using them to guide action. Anthony outlines a practical hierarchy that begins with consistent record keeping, expands through effort awarenss, and culminates in structured load adjustment. The discussion also reframes strength as a foundational capacity that must be maintained during phases where other demands rise, and clarifies how testing should occur at decision points rather than as a weekly ritual.

Relevant Science & Articles Mentioned:

• Zourdos MC, et al. (2016). Novel resistance training specific rating of perceived exertion scale measuring repetitions in reserve. Journal of Strength and Conditioning Research.
• Mann JB, et al. (2015). Velocity based training in football. Strength and Conditioning Journal.
• Plews DJ, et al. (2013). Training adaptation and heart rate variability in elite endurance athletes. European Journal of Applied Physiology.