Anytime the causal effect of X on Y is confounded by one set of variables (C) and mediated by another (M) (see Figure 7.2), and, furthermore, the mediating variables are shielded from the effects of C, then you can estimate X’s effect from observational data.
Since you can separate the effect of the confounder by using your knowledge of the mediators.
