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Show Notes
- Why marginal gains are often misunderstood
The original concept was about breaking performance into components, but not all gains are equal. Understanding which factors carry the most weight, like talent, training, and preparation, is what actually drives performance. - Talent identification and what teams really look for
How teams combine race results, power data, and training history to assess potential, and why mindset, coachability, and long term development still play a critical role. - Training in a sport with constant racing
Why professional cyclists must balance performance with an intense race calendar, and how modern approaches prioritize recovery, targeted preparation, and racing less to perform better. - Individualizing performance with data, nutrition, and environment
How teams are using tools like carbohydrate oxidation testing, heat and altitude exposure, and wearable data to tailor strategies for each athlete rather than applying one size fits all approaches. - The hidden layer of cycling: strategy and game theory
Why drafting turns cycling into a strategic game, how riders collaborate and compete at the same time, and why the strongest athlete does not always win.
Where performance is heading next
How AI, machine learning, and large data sets are starting to shape decision making, from predicting illness to refining training and recovery in ways that were not possible before.
