When a condition is rare, the small number of real cases is swamped by the false positives drawn from the much larger healthy group — so a test with high sensitivity and high specificity still returns more wrong positives than right ones.

025507510000.511.52Even odds: a positive is as likely right as wrongWhere the current settings land
Chance you actually have the condition, given a positiveThe accuracy figure people mistake for that chance
1 %
99 %
False alarms for every real case caught1
Chance you actually have it, given a positive result50%
How far the test's accuracy overstates your risk49

A positive only becomes more likely true than false once prevalence exceeds the break-even level fixed by the false-positive rate — below that line, specificity governs the answer and raising sensitivity barely moves it.

0.01290100PrevalenceSpecificity
Chance you actually have it, given a positive result

Interactive artifact by Delineo