Quiz HN: Test your biases

4 points by jibiki ↗ HN
You are the minister of health. Currently, you screen all citizens for cow-flu using test X. You want to add another test, though, and you have two options: test Y or test Z. Test Y is strongly correlated with test X. Test Z is not correlated with test X.

Do you add test Y or test Z?

7 comments

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If there are tests for a binary result (has cow-flu/does not have cow-flu) that are not correlated, one or both of the tests is bad. Further information could confirm or negate the choice of Y or Z (or sticking only with X).
All good tests should be strongly correlated with the presence/absence of swine flue, and hence correlated with each other. So either tests X/Y are broken, or test Z is broken. Or both.

We need to figure out which before answering the question.

Let's say X and Y are both good tests. Is it still possible you would prefer Z to Y?
If Z caught most of the cases that X missed, but not many that X caught then it would be very useful.
My first instinct is to add test Z. Since Y correlates well with X, Z would provide more information.

But if Y is correlated to X, that might indicate something about its sensitivity.