Hard scientific data shows COVID-19 to be a fake diagnosis and a likely fake category of death.
Intervention study, data analysis, confirming a reduction is deaths attributed to certain specified natural cause categories is exactly balanced by deaths attributable to the new 2020 category of COVID-19 (U071, Underlying Cause of Death) and confirmation this could not have occurred by chance alone.
The CDC: https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm
The data was downloaded from the CDC website and compares the first 32 weeks (Jan to mid-August) of 2019 to the first 32 weeks of 2020. In effect this represents an intervention study, where the 2019 population (non-COVID exposed) is compare to the same population in 2020 (COVID exposed). Although the total number of cases is different in each population the % of specified natural cause death cases remains consistent (69% vs 70%). Data was analysed with a two tailed, paired T.Test where statistically different populations are defined with a significant P-Value of less than 0.05.
Cases that test positive for COVID-19 by RT-PCR (test kit) and subsequently die, are categorised with a primary cause of death of COVID-19. This would not be suspicious, except that there is an exactly balanced reduction in the percentage of cases across the non-COVID-19 specified subcategories of natural causes of death. The reduction in these non-COVID specified subcategories has not occurred by chance alone, which is evidenced by p-values showing this statement to be over 99.9% certain. Refer Table 1.
These are all cases that would not have been categorised as COVID-19 cases, if they had not returned a positive COVID-19 test result. A test that has recently been shown to be testing for a normal component of the human genome (part of chromosome 8), which is not a test that is testing positive for an independently isolated and categorised, non-human, ‘virus’ peptide. Refer Table 2.
COVID-19 does not exist, it is a fake diagnosis and categorisation.