@Watapalava
Talipes
Ons data from March shows that 60% of the positive lft tests taken when kids went back were false positives
So hundreds of thousands of kids/contacts isolated for sod all
This was proven by pcr
60% false positive!
The statement here that there were 60% false positives on lfts at a particular point when cases were low has no relevance at the moment, when cases are high.
I'll illustrate with an example. The figures are not based on case data on any [articular date, but are for illustrative purposes.
For this illustration, I am going to assume that false positivity rates are 3 in 1000, and false negatives around 50% - approximately in line with initial Oxford University research in November 2020 when the lfts were self-administered by members of the public given a protocol, but simplified to make my Maths easier!
Let us take 3 scenarios:
- True case rate is 4 in 1000, and everyone takes an lft.
The false positivity rate means that 3 of the 1000 will test positive at random. The false negative rate means that 2 of the 4 are not detected.
5 positives are found. 3 are false positives, 2 are true positives. 2 cases are missed.
- True case rate is 40 in 1000
False positives are still 3 in 1000. False negatives mean that 20 of the 40 are not detected.
23 positives are found. 3 are false positives. 20 cases are missed.
- True case rate is 400 in 1000 (OK, so this is unrealistically high, but it makes the point for the illustration)
False positives are still 3 in 1000. false negatives mean that 200 of the 400 are not detected.
203 positives are found. 3 are false positives. 200 cases are missed.
So when cases are low , false positives are an issue. When cases are high, as they are at the moment, false positives are much less of an issue than false negatives in terms of distortion of the data.
Either watapalava has not understood this, or they are deliberately selecting a point at which case rates were low to make a false general claim about the impact of false positives on lfts.