1. Note the crucial difference in wording between eye-catching graphic which says "1 in 480 ...with COVID-19" and the simple text which says "1 in 480 ...tested positive for COVID-19". The graphic is the one which is the lie.
https://twitter.com/ONS/status/1383012763056869376
2. The most important lesson from our work analysing the Cambridge data is that, with a false positive rate of around 0.35% for asymptomatics, most asymptomatics who test positive do NOT have COVID-19.
3. In the period we looked at there were 43 positives from the pooled PCR testing, of which 36 were found to be false positives after a confirmatory tests.
4. Unlike in the special case of the Cambridge study, the ONS counts everybody who tests positive on a PCR test as a 'case', i.e. there is no confirmatory test which would show it was a false positive for most asymptomatics.
5. As the proportion of asymptomatics being tested increases, the difference between the number of people who 'test positive' and the number who 'have the virus' will continue to increase. probabilityandlaw.blogspot.com/2021/04/smashi…
6. In case it is removed I saved a screenshot of the ONS tweet with the contradictory information in it: 
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