Most statistical analyses are built according to a linear logic: analysis of variance, regression analysis. Yet, several of these analyses describe phenomena for which theoretical interpretation is impossible with linear logic; these phenomena rather require dialectical type theorization. More than that: linear statistical techniques commonly allow for multivariate modelling. However, associations between the variables that they describe, even though they are statistically submitted to a linear logic, easily allow for a systemic interpretation. Thus, statistical analysis linearity can serve relational or systemic theorizations. That is what the article illustrates. To this end, results from two empirical analyses operated with statistical tools on two social phenomena (relation between youth and their community, media uses) are presented; they show how objects that are depicted cannot be theorized properly without resorting to notions of recursiveness, dialectic, and system.