COVID-19: A Patently Fake Diagnosis

Here is the hard science that proves COVID-19 is an utterly
fake diagnosis.

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:


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.



The percentage reduction in deaths attributed to:  The percentage reduction in deaths attributed to:
Malignant neoplasms (C00-C97); Other diseases of respiratory system (J00-J06,J30-J39,J67,J70-J98);
Diabetes mellitus (E10-E14); Nephritis, nephrotic syndrome and nephrosis (N00-N07,N17-N19,N25-N27); and
Alzheimer disease (G30); Diseases of heart (I00-I09,I11,I13,I20-I51);
Influenza and pneumonia (J09-J18);  Septicaemia (A40-A41); and
Chronic lower respiratory diseases (J40-J47); 
Cerebrovascular diseases (I60-I69); and
Could not of occurred by chance alone. Could have occurred by chance alone.

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.

Table 1 – Data Set and Paired T-Test P-Value Results

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.

Table 2 – WHO, COVID-19 Test Primer Sequence

COVID-19 does not exist, it is a fake diagnosis and categorisation.


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