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An official CDC FOIA response confirms that the validation of the SARS-CoV-2 genome has not been completed to scientific standards!

CDC Unable to Scientifically Verify Full SARS-CoV-2 Genome, Leaving Potential for Semi-Random Construct.




... The CDC stated that they lack the capability to isolate a single virion from all other genetic material present in a sample, and that they don’t have records that this has ever been performed or even is possible.

They also indicated that they do not possess or have knowledge of any single read or complete assembly that would mathematically confirm the complete genome of a virion.

Furthermore, the CDC relied exclusively on publicly available sequence data and did not employ the RACE (Rapid Amplification of cDNA Ends) technique to verify the manually identified genome ends by Chinese researchers. Verification of these ends is crucial, as the presence of additional bases beyond the first and last positions of the reference genome would suggest that RACE amplification does not capture the true terminal sequences. Although RACE amplicon data for SARS-CoV-2 has not been published, findings from the same researchers who studied the RaTG13 virus suggest that this may be the case, highlighting the need for independent validation.

Long-read sequencing has not yet convincingly demonstrated the complete sequence of the genome, as errors and missing sequence ends prevent the generation of a high-confidence genomic model.

Traditionally, proving that a microbe causes disease meant satisfying Koch’s postulates — four criteria laid out in the 19th century:

1. The microorganism must be found in all cases of the disease
2. It must be isolated and grown in pure culture
3. The cultured organism must cause the disease in a healthy host
4. It must then be re-isolated from the newly diseased host

Koch’s postulates were not fulfilled for SARS‑CoV‑2 in the classical sense.

Modern virology has shifted away from these criteria, favouring molecular techniques such as PCR, genome sequencing, and cytopathic observation in cell culture. But these newer tools do not prove causation — they indicate correlation and presence.