Always Stay Critical – Review 4By Daniel Kadlec on 19/07/2021
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.2
Payment Issues With MastercardBy Mihailo Tomic on 19/06/2021
Payment processing issues arose between 2Checkout (our payment gateway) and Mastercard. This means that you may receive “billing attempt failed” errors when trying to renew your Complementary Training subscription with MasterCard.
Always Stay Critical – Review 3By Daniel Kadlec on 17/06/2021
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.
Always Stay Critical – Review 2By Daniel Kadlec on 29/04/2021
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?
Always Stay Critical – Review 1By Daniel Kadlec on 24/03/2021
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.
Validity and Repeatability of the YoYoIR1 and 1000TT: Re-analysis of the Clancy et al. paperBy Mladen Jovanovic on 25/02/2021
In the following two videos and a PDF report, I am going to re-analyze the paper by Clancy et al. using bootstrap magnitude-based approach (using bmbstats package) and mixed-effects model in R language.
Conceptualizing Philosophy in Strength & Conditioning: The Barbell Strategy and RiskBy Adriano Arguedas Soley on 14/02/2021
In this article, Adriano outlines Taleb’s Barbell Strategy for Risk in Financial Investment and details how high-performance sport programs may benefit from categorizing the risk potential of individual training elements to safeguard sustainability and promote aggressive growth.
bmbstats – Bootstrap Magnitude-Based Statistics for Sports ScientistsBy Mladen Jovanovic on 03/02/2021
The aim of this book is to provide an overview of the three classes of tasks in statistical modeling: description, prediction, and causal inference.
Mladenverse: Collection of R PackagesBy Mladen Jovanovic on 18/01/2021
2020 was a tough year for many. I took the lockdown as an opportunity to finish some old projects, start new ones, and learn new skills.
Fight Camp Planning – a Big Picture ApproachBy Lukas Pezenka on 21/12/2020
There are different camps when it comes to the best periodization model. Some coaches prefer block periodization, others have achieved great success with linear models. In this article, Lukas Pezenka outlines a narrative-based framework that he used with one of his MMA athletes at the Austrian 2020 nationals.