True, but this is an engineering problem:
1. Just because some tests have a higher number of false positives does not mean all tests have a higher number of false positives
2. For those tests that do have a higher number of false positives, the well educated (and paid) professionals are aware and should have measures in place
Eg: Bloom filters are fantastic datastructures to test membership. However, they have false positives. We can control the probability of getting a false positive by controlling the size of the Bloom filter.
This is nothing new in engineering.