  Interventions are of fundamental importance in Pearl's probabilistic
causality regime. In this paper, we will inspect how interventions influence
the interpretation of causation in causal models in specific situation. To this
end, we will introduce a priori relationships as non-causal relationships in a
causal system. Then, we will proceed to discuss the cases that interventions
can lead to spurious causation interpretations. This includes the
interventional detection of a priori relationships, and cases where the
interventional detection of causality forms structural causal models that are
not valid in natural situations. We will also discuss other properties of a
priori relations and SCMs that have a priori information in their structural
equations.
