In this paper we explore when trained and untrained researchers start to perceive a correlation or mean difference as 'meaningful'. This is the first of a set of studies aiming to improve our understanding of the 'smallest meaningful effect size', a value that is imperative for power analyses, equivalence testing, effect size interpretation, etc.