Have you got a link to the false positives data please?
As per Yorkie's reply, there is no 'data' as such, but the nature of the PCR test
means that can never be 100% reliable, and because of the way that errors are
compounded when prevalence of the virus in the population is extremely low,
as it is at the moment,
even if the test is is 99% reliable that can still lead
to up to 90% false positives!
I realise that the bit in bold above sounds absolutely bonkers,
but it was explained to me by a statistician on another forum
like this:
Imagine that you test 100,000 asymptomatic people. We know from random sampling by the ONS that prevalence in the population is about 1 in 2000.
So we can expect 50 people in that 100,000 to actually have the virus and to give a true positive...
Assume the specificity of the PCR test is ~99.5%. In other words, it gives the correct result (or a false negative) 99.5% of the time,
so we can expect a false positive rate of 0.5%. Applied to the 100,000 people that means we can expect 500 false positive tests where
the person does not have the virus but the test says that they do.
Hence, 50 "real" positives and 500 "false" positives from a test of 100,000 asymptomatic people using a test with 99.5% specificity.
Or to put it another way, if you test positive there's a 500/550 chance (91% give or take) that it's a false positive and you've not actually got the virus
I had to read the above several times before it sunk in, as it's so utterly counterintuitive,
but once you 'get it', you realise that that PCR test results are a terrible basis (on their own)
for deciding where/when to introduce local restrictions/lockdowns.
Unfortunately, the vast majority of the public, including senior government figures,
seem to think the test is infallible.
MARK