John Burn-Murdoch@jburnmurdoch (FT stats geek)
.... how to interpret figures from different sources, and what caveats each source does and does not come with:
• Pillar 2 community testing:
these are the bulk of cases picked up at the moment.
Case and positivity rates here could be influenced by where and who is being tested,
so e.g patterns in this data with age, deprivation etc could be skewed by who is getting tested
• @ONSS^ infection survey:
these tests are random, and designed to be representative of the overall population.
Therefore trends and patterns in this data are not due to e.g certain locations or groups of people being more likely to get tested.
Samples taken for *@ONSNS^ tests are re-tested multiple times to make false positives extremely unlikely (one in tens of thousands),
so any false positive chatter is completely absurd for the ONS survey (and also hugely exaggerated re the Pillar 2 tests)
Rupert Beale@bealelab (Infection lab @TheCrick)
We run everything twice to get false positives to ~1x10-4
For ONS, I believe it’s 3x and likely false positive ~1x10-6