This paper discusses under which circumstances and how configurational comparative methods (i.e. QCA) and statistical methods can be combined to provide tests for the ‗quasi‘-sufficiency of any given set of combination of causal conditions. When combined, QCA provides the ability to explore causal substitutability (i.e. multiple paths to a given outcome) and the ways in which many multiple causes interact with one another to produce effects, while the statistical elements can provide robust indications of the probable validity of postulated hypotheses.