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Distribution / base rate

Find out how the outcome is spread across cases and what usually happens before judging any single case.

Six weeks into an online course, you've stalled at module four, and the self-criticism is loud: undisciplined, not cut out for this, classic you. The verdict rests on an unexamined assumption, that most people finish, so your stall is a personal defect rather than the normal fate of enrollees.

Distribution / base rate is the evidence job of finding out how an outcome is spread across cases and what usually happens, before judging any single case, especially your own. The cue is evaluating one instance (your progress, one employee's miss, one investment's dip) with no idea what the surrounding population looks like. The operation: name the reference class (paid self-paced online courses), find the distribution (completion rates commonly land under 15 percent, with most drop-off in the first weeks), then relocate your case inside it: reaching module four may put you ahead of most enrollees, not behind. Finally, re-ask the real question, which was never "am I defective?" but "do I want to finish, and what would it take?" What changes is that judgment gets calibrated to what's normal instead of to an imagined standard. Base rates mislead when your case differs from the reference class in a way that clearly matters, so check the match first.

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