No-one knows for sure who first used the phrase "Lies, damned lies, and statistics", but it's become a truism in our society. It certainly looks as if it applies to official US government statistics for COVID-19 infections, which appear to be about as (un)trustworthy as its statistics on inflation.
Off-Guardian reports that the CDC is changing its measurement criteria. Bold, underlined text is my emphasis.
The US Center for Disease Control (CDC) is altering its practices of data logging and testing for “Covid19” in order to make it seem the experimental gene-therapy “vaccines” are effective at preventing the alleged disease.
. . .
Essentially, Covid19 has long been shown – to those willing to pay attention – to be an entirely created pandemic narrative built on two key factors:
- False-postive tests. The unreliable PCR test can be manipulated into reporting a high number of false-positives by altering the cycle threshold (CT value)
- Inflated Case-count. The incredibly broad definition of “Covid case”, used all over the world, lists anyone who receives a positive test as a “Covid19 case”, even if they never experienced any symptoms.
Without these two policies, there would never have been an appreciable pandemic at all, and now the CDC has enacted two policy changes which means they no longer apply to vaccinated people.
Firstly, they are lowering their CT value when testing samples from suspected “breakthrough infections” ... Secondly, asymptomatic or mild infections will no longer be recorded as “covid cases”.
. . .
The CDC is demonstrating the beauty of having a “disease” that can appear or disappear depending on how you measure it.
To be clear: If these new policies had been the global approach to “Covid” since December 2019, there would never have been a pandemic at all.
If you apply them only to the vaccinated, but keep the old rules for the unvaccinated, the only possible result can be that the official records show “Covid” is much more prevalent among the latter than the former.
This is a policy designed to continuously inflate one number, and systematically minimise the other.
What is that if not an obvious and deliberate act of deception?
There's more at the link.
What gets me is how the CDC is being so blatant about this. They're not even trying to hide what they're doing. They simply expect to be allowed to get away with it.
That's why I remain more than a little dubious about the value of a COVID-19 vaccination. I'm not anti-vaxx at all; I've had all too many of them in my lifetime. However, I object to being pressured into accepting a vaccine that may or may not be efficacious, and may or may not have potentially serious deleterious effects. How can I know for sure, when the figures are being fudged? In the absence of demonstrably impartial, accurate, scientifically valid data, how can any of us say for sure whether the cure is - or is not - worse than the disease?
The CDC looks like it's become its own worst enemy. It's certainly no friend of ours, with these sorts of statistical shenanigans on public display.