COVID-19 aka CCP Virus RED PILL — Dr. Malcom Kendrick: Why Terminology Really, Really Matters “probably the biggest single mistake that has ever been made in the history of the world”
Most medical experts and politicians have gone off the deep end on COVID-19.
No effort will be spared to avoid embarrassment of the “experts” that sent us all into lockdown and will ultimately kill millions of people from bad public policies around COVID-19. Expect a full propaganda campaign in the news media and governments around the world to insist that policies were warranted (this has been underway since March 2020 and it will intensify).
I’m a fan of Dr. Malcom Kendrick in part because of his excellent exposé of the moral and financial corruption in the statin industry; see The Great Cholesterol Con.
Thus, lo and behold, COVID is a less severe infection than swine flu – the pandemic that never was. That’s what these figures appear to tell us. They tell us almost exactly the same in France where they ‘appear’ to have a current case fatality rate of 0.4%.
On the other hand, if you look at the figures from around the world, they are very different. As I write this there have been, according to the WHO, 25 million cases and 850,000 deaths. That is a case fatality rate of more than 3%. Ten times as high.
Why are these figures so all over the place? It is because we are using horribly inaccurate terminology. We are comparing apples with pomegranates to tell us how many bananas we have. Our experts are, essentially, talking gibberish, and the mainstream media is lapping it up. They are defining asymptomatic swabs as cases, and no-one is calling them out on it. Why?
The good news
At the start of the epidemic, the only people being tested were those who were being admitted to hospital, who were seriously ill. Many of them died. Which is why, in France, there was this very sharp, initial case fatality rate of 35%. In the UK the initial case fatality rate was I think 14%. Last time I looked at the UK figures, the case fatality was 5%, and falling fast.
This fall has occurred, and will occur everywhere in the World, because as you increase your testing, you pick up more and more people with less severe symptoms. People who are far less likely to die. The more you test, the more the case fatality rate falls.
It falls even more dramatically when you start to test people who have no symptoms at all. In fact, as you broaden your testing net, something else very important happens. You gradually move from looking at the case fatality rate to the infection fatality rate.
The infection fatality rate is the measure of how many people who are infected [even those without symptoms, or very mild symptoms] who then die. This is the critical figure to know because it gives you an accurate assessment of the total number of deaths you are likely to see.
It [case fatality rate] is falling, falling, everywhere. Where does it end up, this hybrid case/infection fatality rate? Remember, we are still only testing a fraction of the population, so we are missing the majority of people who have been infected, mainly those who do not have symptoms. Which means that these rates must fall further, as they always do in any pandemic.
...I am going to make a prediction that, in the end, we will end up with an IFR of somewhere around 0.1%. Which is about the same as severe flu pandemics we have had in the past. Remember that figure. It is one in a thousand.
It may surprise you to know that I am not the only person to have made this exact same prediction. On the 28th February, yes that far back, the New England Journal of Medicine published a report by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD (A.S.F., H.C.L.); and the Centers for Disease Control and Prevention, Atlanta. 4
In this paper ‘Covid-19 — Navigating the Uncharted’ they stated the following:
‘On the basis of a case definition requiring a diagnosis of pneumonia, the currently reported case fatality rate is approximately 2%. In another article in the Journal, Guan et al. report mortality of 1.4% among 1099 patients with laboratory-confirmed Covid-19; these patients had a wide spectrum of disease severity. If one assumes that the number of asymptomatic or minimally symptomatic cases is several times as high as the number of reported cases, the case fatality rate (my underline) may be considerably less than 1%. This suggests that the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’
A case fatality rate considerably less than 1%. Their words, not mine. As they also added, ‘the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’
At this point, you may well be asking. Why the hell did we lockdown if COVID was believed to be no more serious than influenza? Right from the start by the most influential infectious disease organisations in the World.
It is because of the mad mathematical modellers. The academic epidemiologists. Neil Ferguson, and others of his ilk. When they were guessing (sorry estimating, sorry modelling) the impact of COVID they used a figure of approximately one per cent as the infection fatality rate. Not the case fatality rate. In so doing, they overestimated the likely impact of COVID by, at the very least, ten-fold.
...Which means that, unless COVID was going to turn out nearly 100% fatal, we could never get anywhere near 1%, for the infection fatality rate. Even Ebola only kills 50%.
...So yes, it does seem that ‘the overall clinical consequences of Covid-19 may ultimately be more akin to those of a severe seasonal influenza.’
....The mortality rate Dr Fauci? Could it possibly be that he failed to understand that there is no such thing as a mortality rate? Did he mean the case fatality rate, or the infection fatality rate? If he meant the Infection mortality rate of influenza, he was pretty much bang on. If he meant the case fatality rate, he was wrong by a factor of ten.
So, we got Lockdown. The US used the Fauci figure and got locked down. The world used that figure and got locked down.
That figure just happens to be ten times too high.
I would like to thank Ronald B Brown for pointing out this catastrophic error, in his article ‘Public health lessons learned from biases in coronavirus mortality overestimation.... I am simply drawing your attention to what has simply been – probably the biggest single mistake that has ever been made in the history of the world.