This chapter will also show that causal diagrams make possible a shift of emphasis from confounders to deconfounders. The former cause the problem; the latter cure it. The two sets may overlap, but they don’t have to. If we have data on a sufficient set of deconfounders, it does not matter if we ignore some or even all of the confounders.
