In this episode, Daniel reviews the meta-analysis by Elliot et al. (2020) and highlights how little confidence we have in brain-based training. More specifically, this paper shows that fMRI studies, one of our “best” method to check what’s going on in the brain, are not reliable.

In this episode, Daniel reviews the results by Damas et al. (2019) and highlights how little adaptive certainty we can attribute to distinct resistance training methods. More specifically, this intervention study determined the change in muscle size after different resistance training approaches and highlighted the inherent between-subject variability.

In this episode, Daniel provides an alternative interpretation for the recent publication by Miller et al. (2020) and what this could imply for training. This cross-sectional study checked how single and multijoint isometric strength and muscle mass are related to sprinting performance, yet what can we infer from cross-sectional observations?

When comparing groups of people in the way how they move, we first must make sure we do it in a way the acquired data can actually tell us something meaningful. Understanding and acknowledging some pitfalls when designing, conducting, and interpreting the data is crucial to NOT conclude something misleading or wrong.