I checked myself the official WHO data few weeks ago. I basically divided the number of daily positives by daily total number of tests - this gives you the estimate of % of population infected in time slice. I plotted this data in time from early march to present time. The result is staggering. The peak % in pretty much all of the countries was around February and March (between 15-40% depending on country) after that the curve flattens down to statistical noise (between 0,5 to 8% depending on country). It goes flat like that since MAY! I can confirm as a scientist that data shows CLEARLY that between 92-100% positive test results today are FALSE POSITIVE. This statement is true with probability of 99,73% (+/-3 sigma deviation). What those idiots are doing is they are just detecting statistical noise and no wonder the daily cases number increases because daily amount of tests done increases day by day but the error remains the same... so the amount of detected positives are directly proportional to the amount of tests done. If they did tomorrow 10milion tests, with test error of false positive at only 1% we would have 100 000 new cases. An just look at the UK daily tests done in recent time... they went from 20 000 per day in march to... 250 000!!!! Here are the links where you can obtain data by yourself:
https://ourworldindata.org/grapher/full-list-covid-19-tests-per-day?time=2020-02-20..latest
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