Abstract The number of adjustable parameters in a model or hypothesis is often taken as the formal expression its simplicity. I take issue with this `definition´ and argue that comparative simplicity has quasi-empirical measure, reflecting experts’ judgements who track past use model-type across domains. Since models are represented by restricted sets functions suitable space, formally speaking...