values or self confidence intervals, which can seem to be stunning. Jacobucci et al. (2019) indicate that this type of design incurs appropriate bias when making use of regularization, but the more significant aim may be the holdout sample generalization, which is reached by lowering variance and preferring types of the complexity that's afforded b