By contrast, in a nonrandomized study, the experimenter must rely on her knowledge of the subject matter. If she is confident that her causal model accounts for a sufficient number of deconfounders and she has gathered data on them, then she can estimate the effect of Fertilizer on Yield in an unbiased way. But the danger is that she may have missed a confounding factor, and her estimate may therefore be biased.
