Some comments on pareto thinking, test validity, and adverse impact: When 'and' is optimal and 'or' is a trade-off

De Corte, Lievens, and Sackett add to the literature on selection test validity and adverse impact (AI). Their Pareto-based weighting scheme essentially asks organizations if they are willing to give up some validity to hopefully achieve some reduction in AI. We considered their approach and conclusions in relation to the regression weighting method we used, and we offer five points that reflect our observations as well as our shared goals. We hope our comments, like their work in this field, will invigorate the pursuit of new ways of examining, and one day resolving, the persistent concern regarding the AI associated with valid selection tests.