Data Insights in Running

Jonah expresses skepticism about proprietary readiness scores, labeling them as ineffective due to a lack of supporting research. He contrasts this with his enthusiasm for power meters and the potential of machine learning to analyze multiple data points, such as heart rate and subjective feelings, to provide a more accurate picture of an athlete's performance and recovery.