Impact, Rights, and Distribution

Look past the average to who bears the worst loss and whose rights constrain the choice.

Your online course posts an 82% completion rate and glowing average reviews, so you call it a success. Buried in the data: every student using a screen reader dropped out in week one, because your interactive exercises don't work with assistive software. The average is thriving. A specific group of real people is locked out, and the mean will never tell you.

Impact, Rights, and Distribution separates average benefit from what happens to subgroups: who bears the worst loss, whose rights constrain the choice, where harm concentrates in the tail. The cue is any success claim resting on an average or a total. Run it in three steps. First, break your population into meaningful subgroups and check outcomes for each. Second, ask the move question: who receives the mean gain, who bears the worst loss, and whose rights constrain this choice? Third, treat rights violations, like accessibility, as constraints, not as line items to outvote. What changes when it works: you fix the excluded group's experience even though the aggregate never demanded it. The principle to hold: low power or small numbers never make a rights claim negligible, but don't use this move to relitigate every minor unevenness either.