The document discusses confounding in the design of block experiments, specifically highlighting how treatments can be assigned in two blocks to manage variations. It explains that confounding can simplify the estimation of effects in factorial designs, as certain effects become indistinguishable within blocks. The document also provides examples of different blocking schemes and their implications for estimating treatment effects.