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Science isn't my long suit but spotting Biotech Mafia bait and switch with targets of public outrage is pretty solid. Paired with understanding of wild RNA vs clones lays bare the lie about the much trumpeted Barik/Dazsak unique Gain of Function threat.

What everyone in the vaccine space knows is that GoF is the process used to create and test vaccines & therapeutics for Influenza & Coronavirus strains. Even traditional egg based jabs select viral elements from their soup of CRISPR clones.. For me what folks will not say weighs as heavily as the focus and everyone who refuses to properly name these transfections or defend biology for RNA to debunk GoF threat aren't sincere.

Lots to slog through.. more fun to search "however" to count times they note petrie dish, knock out mice & ferrets may not reflect human immune response.. other fun search terms "reproducible" 'model' "unknown" "pandemic policy" "stakeholder" "immune system" lest used term in document "clone" Table of Contents alone an eye popper

2016 Gryphon Scientific 1,000+ page Gain of Function Risks & Benefits..

https://web.archive.org/web/20161206155142/http://www.gryphonscientific.com/wp-content/uploads/2016/04/Risk-and-Benefit-Analysis-of-Gain-of-Function-Research-Final-Report.pdf

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Thanks for sharing videos and links that support and clarify your points. You have a gift for asking the right questions.

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Thanks for publishing this work-in-progress it's the kind of meat I've come to expect and enjoy sinking teeth into...

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I am absolutely lost here...what is he saying? Can we make viruses? Or only clones? And what are the implications for each?

Cannot grasp. At all. Anyone?

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Hi. You might find Jay's June 28 stream with David Ransack insightful. They discuss some ideas around infectious/disease-causing viruses vs viral genetic signals: https://www.twitch.tv/videos/2184162142?t=00h12m11s

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They can't even prove the existence of viruses. Sequences come from a toxic soup of crap after they take a sample from someone with a disease and then they declare it's from a virus. They can't isolate said virus. They can't run repeatable experiments with said virus. It's theoretical. Because the cause of disease is not obvious to people, they get away with this fraud.

I don't know what you would be cloning if you can't isolate a virus to begin with. It's absurd.

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But there are patents. Ive seen them. Non replicating infectious clones. So clonesof what?

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There is so much fraud in patents. There is no way to oversee all the science being claimed.

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Check out today's posting on this Substack to learn about meddlers.

https://www.coffeeandcovid.com/

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.

Even Pavlov’s Dog

Would Have Figured Out This Charade

And Turned On Its Owner.

Now The Salient Question Is:

How Many Vicious Bites

Would It Take The Doctor

To Turn On Its Owner ?

.

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You wrote that McKernan is making us accept "that millions of sequences have been recorded" and that "these sequences can be arranged in a phylogenic tree".

But I don't understand why it would not be possible to arrange the sequences to a phylogenic tree. If you simply have a list of SNVs that each sample has relative to Wuhan-Hu-1, then you can calculate the distance between a pair of samples by counting how many mutations exist only in one of the two samples but not in both. And you can make a distance matrix by repeating the same procedure for each pair of samples. And then you can turn the distance matrix into a phylogenic tree.

This code downloads the mutation list of about 700,000 GISAID submissions from 2020 and it makes a phylogenetic tree for a random subset of 50 sequences:

> install.packages(c("ape","data.table"));library(ape)

> system("curl -Ls sars2.net/f/gisaid2020.tsv.xz|xz -dc>gisaid2020.tsv")

> t=as.data.frame(data.table::fread("gisaid2020.tsv"))

> t=t[sample(nrow(t),50),]

> mut=strsplit(t$nuc,",")

> m=t(sapply(mut,\(x)table(factor(x,unique(unlist(mut))))))

> rownames(m)=paste(t$pango,t$divergence,t$collection,t$country,t$region,t$gisaid,sep="|")

> f="1.png"

> png(f,w=900,h=1100)

> hc=as.hclust(reorder(as.dendrogram(hclust(dist(m))),prcomp(m)$x[,1]))

> plot(as.phylo(hc),cex=1.3,font=1,underscore=T)

> dev.off()

> system("mogrify -trim -bordercolor white -border 16x16 1.png")

Here's the result: https://i.ibb.co/y48WWy3/gisaid-random-50-sequences-tree.png. There's one branch for Alpha samples from December and November 2020, one branch for B.1 samples from spring 2020, and so on.

You can run the code by copying and pasting it to the R console application after installing R from here: https://cran.r-project.org. If you need more sequences then you can download a similar mutation list of over 4 million US sequences from here (along with FASTA files for the full sequences): https://vigilance.pervaers.com/i/136194099/downloadable-datasets.

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J.J. Couey, you magnificent bastard.

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