//However, his calculation, if the statement is accurate, is wrong.//
Yes, it seems the “simple arithmetic” was a little too complex for our “expert”. That would raise a chuckle in normal circumstances. But these are not normal circumstances. People are being pushed into fear and anxiety by such people and the government is following the “science” of such people.
//Thats silly point IMO.//
Yes it is a silly point – deliberately so because it is about as sensible as denying that the number of positive tests is very much dependant on the number of tests you undertake.
//If we were doing 100 times as many PCRs on everyone just for the hell of it then the infection count would NOT go up x100- it might double at most IMO//
But we’re not talking about an increase of that magnitude. That would mean (on current figures) testing every member of the population more than twice a day. Since the beginning of November the number of daily tests reported has varied between a minimum of 649,990 and a maximum of 1,635,992. That’s an increase on the minimum of 151%. On the day of the minimum number of tests there were 30,150 positives. On the day of the maximum number of tests there were 77,794 positives. This is an increase on the minimum of 158%. So the two are remarkably similar. If you plot a chart of the tests over time and the number of positives over the same period the two lines virtually mirror each other. If you run a correlation analysis on the two the correlation coefficient is calculated at 0.88 (where 1 is a perfect relationship). There is a very strong mathematical relationship between tests and positives. It is also fair to assume there is a very strong causal relationship between the two because, as I keep repeating, if you carry out more tests, you will get more positives (and vice versa). That strong relationship is weakening slightly now because the proportion of tests proving positive in increasing
I am not disputing the fact that the virus is now more widespread than earlier in the month. The seven day average of positives per 1,000 tests has increased from around 44 to around 57. But to report just the number of positives without reference to the number of tests is simply misleading and to deny it isn’t is just plain daft. It’s simple enough to portray – “There were 100,000 new cases today and there were 45 positive tests for every 1,000 tests carried out” (or similar).
//Well any figures are bunkum if you dont understand them…//
They are also bunkum if they are not presented in a proper context.