Will Hopkins' article provides a timely and valuable elaboration of the short item in the previous edition of Sportscience. Up to now, forward thinking researchers have been able to access a spreadsheet at newstats.org to calculate likelihoods of an observed effect being clinically or practically beneficial, trivial, or harmful (derived from the t distribution). This novel approach has extended our battery of tools for drawing inference from data, beyond both the outmoded tests against the null hypothesis and more contemporary estimation methods using confidence intervals or limits. The current article, with the associated table, provides a tool for illuminating the probabilities derived from the spreadsheet. The qualitative descriptors are an important enhancement, facilitating interpretive statements in the discussion and conclusions sections of the dissemination of research findings. I strongly encourage readers attempting to get to grips with these concepts to read this article alongside the previous short item, and to view the PowerPoint slide show. The benefits of a research design, data analysis, and interpretation approach based on quantifying clinical significance, rather than mere statistical significance, have been recognized widely in the medical sciences. Unfortunately, the message has not been widely adopted in the exercise science field. This article will hopefully encourage more researchers in our field to adopt this approach, and challenge some cherished assumptions and dogma. It will require a concerted effort by many people to bring about this paradigm shift away from the comfort zone of P<0.05.