In a Bayesian framework, you are simply assigning a higher prior probability to x believes that A because of cognitive bias B than x believes that A because A is true and through causal mechanism C, is determining x's belief in A, or some similar set of hypothesis. As long as these priors approximately reflect base rates (in addition to object level arguments you have examined for yourself), it seems like a decent way to go about things to me.