Just when you thought government Covid policy couldn’t get even more bizarre, along comes the Covid Cases Hockeystick courtesy of Excel. Apparently, the 12 billion pound track and trace system (which we’re paying for) uses (wait for it) an Excel spread sheet to store data on positive tests. Apparently, nearly 16,000 positive test results got left off because the maximum number of columns on the spreadsheet was exceeded and they didn’t get uploaded! So they’ve just added them on and now our cases graph looks like this:
Like, wow, that’s now a genuine bonafide Mann Hockeystick if ever I saw one! At this rate, they’ll get to 50k ‘infections’ a day by mid October no problem and then they can lock us all down at Level 3 forever. But seriously, are we supposed to believe that this graph bears any relation whatsoever to the supposed rate of spread of live infections of SARS-CoV-2 in the community? That in 2 weeks time, given that so few people are immune to the virus, this will translate into a very sharp peak in deaths? I guess it might if they store hospital death data on Excel too . . . . .
Even with all the ‘missed’ cases added on and graphed by specimen date though, the specimen date data doesn’t look quite so dramatic and scary:
Bear in mind that 250k tests a day are being done at the moment and, contrary to Hancock’s lies, they are randomly targeting asymptomatic people. These positive tests are not being generated from a majority of people who are displaying definite clinical symptoms of SARS-CoV-2 infection. This would explain why deaths are still at a very low level and are likely to remain that way – unless the government finds a ‘fix’ for the mortality data that is.
Even with the ‘lost and found’ data added back in, Whitty and Vallance’s exponential growth graph is still looking highly unlikely: