5 Comments

What has bothered me for some time is what defines a “COVID” case. The only way to do this from the start was with a PCR test. No other confirmation was necessary. That PCR test (which never should be used for a diagnosis as it is a manufacturing technique) was the only way to say who had “COVID.” Yet, there are fundamental problems with this idea. First, any cycle count from low to ridiculously high can be used to indicate a positive or negative case. Although this problem was noted early on, the tests continued, typically with insanely high cycle counts, to be used as a diagnostic tool. This NY Times article speaks to this.

https://www.nytimes.com/2020/08/29/health/coronavirus-testing.html

No other test is necessary to indicate that someone died of “COVID.” A PCR test within 28 days of death means that is why you died. No underlying condition mattered. No autopsy was done. No other confirmation at all was needed. This makes no sense.

Second, germ theory has created the notion that a single germ can cause illness and/or death by itself. Historical data which showed massive mortality declines from smallpox to measles to scarlet fever without any major medical interventions have shown that this is an entirely false premise. You can see the reduction in mortality for every infectious disease from the late-1800s into the mid-1900s.

https://dissolvingillusions.com/wp-content/uploads/2021/07/G11.2-UK-Deaths-1838-1978-1.png

The health of the individual and society is fundamental, yet it has been largely ignored in favor of the “germ = disease” theory. One study of over 500,000 patients with a positive PCR test showed this.

“Among 4,899,447 hospitalized adults in PHD-SR, 540,667 (11.0%) were patients with COVID-19, of whom 94.9% had at least 1 underlying medical condition. Essential hypertension (50.4%), disorders of lipid metabolism (49.4%), and obesity (33.0%) were the most common. The strongest risk factors for death were obesity (adjusted risk ratio [aRR] = 1.30; 95% CI, 1.27–1.33), anxiety and fear-related disorders (aRR = 1.28; 95% CI, 1.25–1.31), and diabetes with complication (aRR = 1.26; 95% CI, 1.24–1.28), as well as the total number of conditions…”

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269743/

I think it’s high time to revisit the foundation of what has been going on for the last couple of years and really many decades.

Expand full comment

Did you see this one out of Israel correlating heart attacks with jabs in under 40s - peer reviewed and published in Nature and receiving zero air time https://www.nature.com/articles/s41598-022-10928-z

Expand full comment

Thanks for article! If you need some beautiful - automatically built from official GC data - plots to support your analysis, we have them at www.ivim.ca

Expand full comment