Damen and colleagues present an interesting overview of prediction models for cardiovascular disease (CVD) risk, with recommendations for future practice.1 Unfortunately, although they make much of the so called “validation” of these scores in research articles, they say nothing about its relevance to current clinical practice. In predictive modelling, as reviewed by these authors, historical data are used to predict a known future. Each model produces a risk score on a scale of 0-1 (or 0%-100%), but each outcome is either an event or a non-event, so the score …