UK Health Secretary Matt Hancock has ordered an “urgent review” into how Public Health England (PHE) calculates coronavirus death figures. It comes after two UK-based scientists highlighted the serious flaw in PHE’s statistics.
Hancock called for an investigation on Friday after confirmation that Covid-19 fatality figures for England include people who tested positive for the deadly virus months before they died

The critical difference in how deaths are recorded may explain why England’s death toll has remained higher than its neighboring nations.

It follows an astonishing article published on Thursday by University of East Anglia professor Yoon K Loke and Carl Heneghan, a professor of evidence-based medicine at Oxford University.

The analysis conducted by the two scientific statisticians showed that PHE has been recording the deaths of people who have previously tested positive for the disease as a coronavirus death – no matter if they had fully recovered from the virus before they died.

A patient who has tested positive, but successfully treated and discharged from hospital, will still be counted as a Covid death even if they had a heart attack or were run over by a bus three months later.

In their damning assessment, the pair insisted that it was “time to fix this statistical flaw that leads to an over-exaggeration of COVID-associated deaths.”

PHE data also confirm that more than 125 000 patients have been admitted to NHS hospitals for COVID, the majority being successfully treated and discharged. There are now less than 1900 patients in hospital. So, roughly 80 000 recovered patients in the community will continue being monitored by PHE for the daily death statistics. More and more people (who are mainly in the older age group) are being discharged to the community, but they clearly may die of other illnesses. By this measure there are 80,000 more covid patients waiting to die.

In England No One Ever “Recovers” from Covid

https://www.cebm.net/covid-19/why-no-one-can-ever-recover-from-covid-19-in-england-a-statistical-anomaly/

Clearly a fraud…not a mistake !

Could this also be the case in other Countries Starting with a “U”