 Randomized experimentation is "not" haphazard.Randomization reduces bias by equalising other factors that have not been explicitly accounted for in the experimental design (according to the law of large numbers).Randomization also produces ignorable designs, which are valuable in model-based statistical inference, especially Bayesian or likelihood-based.