600 million recoveries from 620 million cases
Or is the 97% recovery rate as much of a fiction as the cases (and deaths).
Today, the world population edged past EIGHT BILLION people.
After two and a half years of the Public Health Emergecy of International Concern (PHEIC, pronounced FAKE) there have been 620 million “cases” of C19 with 600 million “recoveries”, 6.5 million deaths with around 13.5 million “active”.
600 million “recoveries” out of 620 million “cases”. The reason the term “cases” is In inverted commas, is because the definition of a “case” is open to conjecture.
“Cases” are determined by using a Reverse Transcriptase - Polymerase Chain Reaction (RT-PCR) protocol that identifies the presence of molecules. It was invented by Kary Mullis who sadly passed away on 7 August 2019.
For those not familiar, Mullis thought Fauci was an idiot and that RT-PCR tests could find any molecule but could not diagnose infectiousness or illness. A famous quote of his is “with PCR, if you do it well, you can find almost anything in anybody.”
Here is a short clip of the legendary Mullis.
PCR Test Inventor Kary Mullis on Fauci - YouTube
A key issue with RT-PCR testing is validity at high amplification cycles and the use of different cycles depending on injection status (the droids are NOT vaccines).
Another issue is the person that designed the RT-PCR test is compromised (there are many different designs for RT-PCR test). Check out this character assassination of the developer of the RT-PCR test in global use, Christian Drostin.
Check this out for how the RT-PCR test was calibrated to test for a SARS-COV2 virus that had not been isolated and proven to cause the COVID-19 disease.
How does this all come together? Check this out from a NYT article in August 2020 – two years ago:
Your Coronavirus Test Is Positive. Maybe It Shouldn’t Be. - The New York Times (nytimes.com)
“Officials at the Wadsworth Center, New York’s state lab, have access to C.T. values from tests they have processed, and analyzed their numbers at The Times’s request. In July, the lab identified 872 positive tests, based on a threshold of 40 cycles. With a cutoff of 35, about 43 percent of those tests would no longer qualify as positive. About 63 percent would no longer be judged positive if the cycles were limited to 30.
In Massachusetts, from 85 to 90 percent of people who tested positive in July with a cycle threshold of 40 would have been deemed negative if the threshold were 30 cycles, Dr. Mina said. “I would say that none of those people should be contact-traced, not one,” he said.”
90% no longer positive at 30 amplification cycles compared to using 40 cycles.
More commentary here:
The current White House Corona Virus Response Co-ordinator, Ashish Jha, had this to say when presented with some home truths on the utility of the RT-PCR test.
“I’m really shocked that it could be that high — the proportion of people with high C.T. value results,” said Dr. Ashish Jha, director of the Harvard Global Health Institute. “Boy, does it really change the way we need to be thinking about testing.”
More commentary here:
The PCR Test is Generating False-Positive COVID-19 Results – Great Mountain Publishing
How did the health authorities use this false data to hype the need for injections and claim that injections were effective? Simple, differentiate the cycles used in RT-PCR testing between the “vaccinated” and “unvaccinated. Here is an unbanned tweet – many, if not all other, users that expressed outrage at the segregation were banned by Twitter.
Skip to 14 minutes in this video (the whole video is worth a watch).
The Drosten RT-PCR test is calibrated from a soup made up of snot from an infected male, kidney cells from a green monkey, human liver cancer cells, human lung cancer cells and fetal bovine serum. No SARS-COV2 virus. Other scientists have proven that this soup produces positive results for SARS-COV2 where no virus is present. (Remember the Tanzanian president that sent a test completed with papaya and Coca-Cola who got back a positive result?).
Ever wonder what happened to the flu over the two years of the pandemic?
The world went from this:
The Number of Flu Cases Worldwide: A Global Perspective (familiesfightingflu.org)
“An estimated 1 billion people worldwide are infected by seasonal influenza every year
Out of those 1 billion, about 3-5 million people have a severe case of flu each year
Globally, an estimated 290,000 – 650,000 deaths occur due to flu each year.”
To this in the USA.
The Flu-Cooties Versus The Covid-Cooties | Welcome To Western Globohomo Inc. (wordpress.com)
This is because the “old flu” was rebranded as the “new flu”. How many people died because instead of being treated as “flu” patients, they were treated with a new treatment protocol and denied contact with everyone but medical staff?
Remember that prior to injections in December 2020, there had been 70 million “cases” and 1.7 million “deaths with C19 present”. 21 months and 12.7 billion doses administered later, there have been 620 million cases and 6.5 million deaths. So, an extra 550 million cases and 4.8 million deaths. So much for 95% efficacy of “vaccines” right? Factor in that deaths were dominated by those around 2 years older than life expectancy with 2-6 co-morbidities and it looks like a “harvest” of the “expensive to treat”.
Coronavirus Graphs: Worldwide Cases and Deaths - Worldometer (worldometers.info)
Coronavirus (COVID-19) Vaccinations - Our World in Data
Factor in the harms from the injections as evidenced by excess mortality running at between 10% and 20% amongst highly injected countries, a reduction of three years in US life expectancy in the last two years AND adverse events.
Scaling the EUDRA and VAERS injury and mortality data by first 40 to compensate for under-reporting (historically the under-reporting factor for vaccine harms was 100 – less than one adverse event was reported for 100 actual adverse events as per the Lazarus Report) then by eight to globalize around 1.5 billion EU+US doses to 12.7 billion global doses.
Guesstimate, 20 million dead and close to 2 billion injuries (half serious and multiple per person) from those 12.7 billion doses – maybe reduce by an eighth to exclude China.
Lastly, for s&it and giggles, check out the table below of the top ten cumulative “cases” around the world. I wonder if the WHO is advising on relative performance amongst countries in detecting and clearing “cases”, with the least number of deaths.
Case Rate % of Cases Deaths Recovered Active Tests Tests/Case
7.8% World 1.05% 96.78% 2.16% 83.8% 11
29.2% USA 1.10% 96.56% 2.33% 333.1% 11
3.2% India 1.19% 98.72% 0.10% 63.5% 20
53.6% France 0.44% 98.04% 1.52% 414.0% 8
16.1% Brazil 1.98% 97.47% 0.55% 29.6% 2
39.3% Germany 0.45% 97.48% 2.06% 145.8% 4
48.0% S. Korea 0.11% 96.52% 3.36% 30.8% 1
34.5% UK 0.80% 98.75% 0.45% 762.8% 22
37.0% Italy 0.79% 97.31% 1.90% 407.9% 11
16.7% Japan 0.21% 96.37% 3.42% 60.5% 4
14.3% Russia 1.86% 95.02% 3.12% 187.5% 13
Regardless of the case rates for the country and region populations that vary from 3% (India) to 54% (France – that’s right, the equivalent of half the entire country of France has been infected (no doubt many, multiple times).
There is no guarantee that the same amplification cycles have been used in each country, or that testing kits have the same quality.
Russia and Brazil have very low “case” rates, but the highest case fatality rates. France, German and Japan have the lowest case fatality rates – South Korea has the lowest, but a high population “case” rate.
The UK has tested every man, woman and child the equivalent of 8 times each (not people like me though, so many will have been tested many more times and some not at all). It takes 22 tests – using a Rapid Antigen Test – corroborated by RT-PCR tests at unknown amplification cycles – to detect a single case in the UK and 20 tests per case in India. In South Korea, it takes just one test to determine one case. Sounds like either S. Korea only tests the symptomatic or the government does not disclose all test data.
Finally, for the nostalgic amongst you, have some enery from an almost 50-year-old album (1974) Sheer Heart Attack, titled “Flick of the Wrist”. History rhyming perhaps.
more here
https://expose-news.com/2022/09/25/manipulation-of-data-and-testing-during-the-pandemic/