“…In our work and others’ ( 13 , 14 ), EA generalizes across domains [medical, public health, public policy, technology; ( 3 , 7 – 9 , 13 )], scenarios [safety checklists for catheterization and intubation, prescribing hypertensive and corticosteroid drugs, return of results from genetic testing, retirement savings plans, overrides for autonomous vehicles, ventilator proning for COVID patients, post-COVID school reopening, rules for wearing masks during COVID, distribution of COVID vaccines, recruitment of health workers, poverty alleviation strategies, teacher well-being strategies, basic income plans, lead abatement strategies; ( 3 , 7 – 9 , 13 )], populations [laypeople, clinicians, public sector leaders; ( 3 , 9 , 13 )], and levels of consent [conducting the A/B test after obtaining consent, conducting it without asking for consent, and silence about whether consent was sought; ( 8 )]. MEM themselves show that EA generalizes across seven dependent measures [(in)appropriate, (un)ethical, (ir)responsible, (un)professional, (un)informed, backfire/succeed, likely to choose].…”