  This paper aims to extend the framework of causal modelling to teleological
explanations. It conceives final models as second-order models produced by
interventions on first-order causal models. It shows why such formalisation
permits us to realise a finalistic interpretation of statistical correlation
which is compatible with its usual causal interpretation. Initially, the paper
identifies some conceptual conditions for statistical teleological analysis,
specifically involving interventions. Then, it describes an explanation
procedure for action and presents one simple example of identifiable final
models. Finally, it compares these results with what could be obtained within a
purely causalist framework.
