November 17, 2020 | BY Source|
“The headline is a quote. The source is Dr. Mike Yeadon. He is the former vice president and scientific director of Pfizer. And before you scoff, I’ve got a number for you. It’s 0.169% 1. That is the percentage chance you have of dying from COVID19 if you are between 0 and 60 in NH and test positive.
In other words, the survival rate is 99.831% for those with positive test results.
If we take the state’s entire population in the age groups 0-60, tested or not, the COVID19 plague has claimed 0.0017% 2 of us. GraniteStaters ages 0-60 have a 99.9983% survival rate after 9 months of plague. Masks or not.
Sorry, that’s not the plague we’re looking for; the political response, however, is another matter.
Every child and productive adult in the state (any state) should be able to go about their business (unmasked!) with no fear of harm or spreading harm. But that’s not useful information. It doesn’t advance [insert your theory here], nor does it justify the reaction we see at the latest ‘spike’ in positive test results, most of which are a product of the flawed PCR test.
New Hampshire reports that 83.6% of ‘positive’ tests are PCR tests. That’s almost 13,000 tests. And they are trying to test more and more quickly -using the PCR – for what purpose?
The PCR test is not designed for the application to which it has so heavily been applied. There’s tons of research on this. We reported on it last month here, and ZeroHedge, where I found the quote by Dr. Yeadon in the headline (H/T Mike Rogers), has aplenty more here.
So, what does the PCR test actually tell us? The PCR swab collects RNA from your nasal cavity. This RNA is then reverse transcribed into DNA. However, the genetic snippets are so small they must be amplified in order to become discernible. Each round of amplification is called a cycle.
Amplification over 35 cycles is considered unreliable and scientifically unjustified, yet Drosten tests and tests recommended by the World Health Organization are set to 45 cycles.
What this does is amplify any, even insignificant sequences of viral DNA that might be present to the point that the test reads “positive,” even if the viral load is extremely low or the virus is inactive. As a result of these excessive cycle thresholds, you end up with a far higher number of positive tests than you would otherwise.
In other words, you can get more positive test results (and more fear) by a)performing a lot more tests and b) amping up the cycles to get positive results, and c) continuing to lie about what they mean.
Perhaps most importantly of all, the PCR tests cannot distinguish between inactive viruses and “live” or reproductive ones.
What that means is that PCR tests cannot detect infection. Period. It cannot tell you whether you’re currently ill, whether you’ll develop symptoms in the near future, or whether you’re contagious.
The number of positive tests means nothing. One positive test means nothing. They do not mean you have this virus or can transmit it. You should most certainly not be locked down or quarantined. But that’s what is happening, and while New Hampshire has not jumped into the lockdown 2.0 pool with most other New England states, it could happen, and we need to prevent that.
Massachusetts, by the way, that hotbed of infection, was testing at 40 cycles. Almost all of those will be false positives.
The second wave is a lie.
Healthy people are being denied their right to life, liberty, and the pursuit of happiness.
The virus is real, and it can kill the very young and the very old, especially those with complicating conditions, but so can any flu. Every flu.
Read the Zero Hedge piece for more details, including some numbers on the financial and human cost of lockdown.
The state is killing healthy people forced to suffer at the hands of a state selling fake fear on the back of a flawed test.
How is that not tyranny?”
- NH COVID Dashboard Summary – 11,216 positives tests for ages 0-60 divided by 19 deaths is 0.169% (11-17-2020)
- NH Population Estimate ages 0-60 is 1,105,847. divided by 19 deaths equals 0.0017% (11-17-2020)