One of the interesting questions in statistics is how to handle the duality of developing methodology that is sound and also easily interpretable in an applied space. Particularly in medical research there may be an understanding that a problem has been simplified for easy testing or power. These simplified solutions become the accepted standard of practice. As methodologies and capacity grow it is worth revisiting these simplifications to develop the methodology to better align with the goal. For the statistician there is an opportunity to either aim for a robust approach and present a new method, or new measurement, that addresses these simplifications or work to an incremental approach that steps the applied user closer to the goal over time. We will work through an example from the composite endpoints used in cardiovascular clinical trials. In these trials fatal and non-fatal events are combined into a single analysis for regulatory approval.