Your annual checkup report arrives, and a tumor marker is flagged “positive.” Many people panic on the spot, search online, and read “this test is 95% accurate.” Their heart sinks: “So there’s a 95% chance something’s wrong?” Hold on — let’s work it out with the method from the last lesson.
Run the numbers
Suppose the condition this marker screens for affects 2% of people getting checkups, the test has 95% sensitivity, and a 5% false-positive rate. Picture 1,000 people getting a checkup:
- 20 have the condition, and 19 of them test positive;
- 980 are healthy, and 980 × 5% = 49 of them test positive too.
That’s 68 positives, of whom 19 are truly sick: 19 ÷ 68 ≈ 28%. Worth taking seriously — but a long way from “95% chance something’s wrong.”
What base-rate neglect is
Focusing on “how accurate is the test?” while forgetting “how common is this to begin with?” is base-rate neglect. It makes us overweight evidence about rare events.
The same positive result means very different things for different people. Take a high-risk group — people who already have symptoms and a family history — where, say, 20% have the condition:
- 200 are sick, and 190 test positive;
- 800 are healthy, and 40 test positive.
Now the posterior is 190 ÷ 230 ≈ 83%. Same test, but the conclusion jumps from roughly a third to over four in five — purely because of the base rate. Drag the base rate in the dot grid from 2% to 20% and watch the makeup of the positive group change completely.
This is where the interactive demo “The 1,000-person grid” lives: in the FoMind app you can drag the controls and see results update live.
That’s also why doctors usually recommend a retest after a positive screening. If the retest is positive too, and the two tests’ errors are unrelated, the probability climbs from about 28% to about 88%.
Not just checkups
“He wears glasses, loves reading, and speaks softly. Is he more likely a professor or an office worker?” Many people say professor. But office workers vastly outnumber professors, so even if only a small fraction fit the description, they can still outnumber the professors who do.
When you review a forecast and realize a vivid piece of evidence carried you away before you checked how common the outcome is, tag it as “base-rate neglect.”
However strong the evidence, first ask: how common is this to begin with?