Ep38 - Michael Gerhardy Stumbles - "I tried to find an answer in every number!"

In this Stumbles episode of Performance Strategies and Stumbles, I’m joined again by Michael Gerhardy to explore the mistakes that have shaped his practice as a sports scientist working in applied performance environments. Michael reflects on early errors made in coaching, research, and sports science, including relying too heavily on statistical significance, misinterpreting data, and trying to analyse too many metrics at once. We discuss why concepts like P-values can be misleading without proper context, and why a “non-significant” finding can still provide valuable insight. We also talk about the importance of quality over quantity in both training and monitoring, how data overload can undermine good decision-making, and why coaches and sports scientists must work closely to ensure analysis actually supports performance. This episode is an honest conversation about learning through mistakes, developing better judgement, and focusing on meaningful metrics that inform real-world decisions. Check out https://runupperformance.com.au/ and also join our webinar next week by registering here if you liked what you heard!