DrQuay Profile picture
15 Sep, 6 tweets, 1 min read
1. CoV outbreak near CoV research institute (the John Stewart effect) of CoV found >1000 km to the south in nature but 96% match at WIV
2. No animal from market, city, province, or all of China with CoV. 80,000 tested
3. Single 'Virus Zero' with no posterior diversity
4. No pre-epidemic seroconversion. 9000+ tested
5. Spike Protein S1/S2 furin site never seen before in >1000 sarbecoviruses
6. CCG-CCG codon dimer never seen before in >1000 sarbecoviruses.
7. Recombination across subgenera to solve #5 & #6 either prohibited or rare.
8. RBD pre-adapted w best amino acid, 99.5%: Replacing every 1 of 200 amino acids of receptor binding region (3800 alternative AAs) leads to a poorer RBD.

9. WIV is only place in world combining 'gain-of-opportunity' CoV collection from nature and 'gain-of-function' research
10. 30 separate acts by China, NIH, NIAID, and scientists of 'consciousness of guilt.' Doing something a guilty person would do.

No evidence points to nature and not the lab.
Despite these ten facts, 80% of academic scientists say it definitely came from nature.

Despite these 10 facts, the other 20% of academic scientists say, we don't have enough info, it could be either natural or a lab leak, and so let's continue investigating
In seeking justice for the MMs killed by COVID, is there a moral difference between the position these two groups of scientists are taking?


both are complicit in not offering a truthful assessment of where the facts lead & following the science to stop the next virus

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More from @quay_dr

27 May
For the non-scientist who might be confused by the CoV-2 origin debate, a proper sentence by a scientist has two parts. The first part is the data, the observation; the second part is the conclusion that follows from the data.

Examples: #COVID19
Based on testing 80,000 animals and finding no CoV-2 in any of them, one can conclude from statistics that the prevalence of CoV-2 where the testing was done must be less than 0.0004%.
Given that the zoonoses, SARS1 and MERS, had >85% positive tests in markets, the likelihood CoV-2 is a zoonosis like SARS1 or MERS is less than 1 in a 1,000,000.
Read 4 tweets
23 Mar
I agree this is not an example of codon optimization for the same reason; it is done over a larger region.

But natural selection in betacoronaviruses has NEVER produced a -CGG-CGG- dimer codon pair. Repeating: there has never been this codon dimer in a coronavirus from nature.
So after scanning 580,000 betacoronavirus codons you suddenly have a -CGG-CGG- cannot be waved away with the 'sh#@' happens hypothesis. Remember, codons have a matching tRNA so putting the two rarest codons together is going to slow/stall transcription.
So we have a functional furin site that has never been seen in a betacoronavirus before that is coded for by a codon dimer that has never been seen before.
Read 7 tweets

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