## The False Positive Paradox: Working Example

From the population of 1000 and the incidence rate of 0.1%, we know that around 1 people will *actually* have the condition. But as the test is only 95% accurate, of the 1000 tests done 950 will have been correct and 50 wrong.

**Only 1.96% of 'positive' results are actually correct.**

- 949 people will be given a
*'true positive'* result: they are *correctly* told they don't have the condition.

- 1 people will be given a
*'true negative'* result: they are *correctly* told that they do have the condition.

- 50 people will be given a
*'false positive'* result: they are *incorrectly* told they have the condition

- 0 people will be given a
*'false negative'* result: they are *incorrectly* told they don't have the condition