Kary Mullis won a Nobel Prize for Chemistry in 1993.

His most famous achievement was the invention of PCR, the method being used around the world to test for Covid-19.

I've been asking myself: what would he think of current events?

It's time for a thread. 👇👇

Please retweet.
In one of life's strange coincidences, Mullis died in August 2019 - just months before the first cases of Covid were allegedly discovered in China.

Since I can't ask him for his latest thoughts, I've read his book, "Dancing Naked in the Mind Field".

Here are the six best bits.
1. The invention of PCR.

The idea for "polymerase chain reaction" came to Mullis while driving at night through the Californian countryside.

With PCR, he could make "as many copies as I wanted of any DNA sequence I chose".

He predicted he would win the Nobel prize for this.
2. Battling with the safety officer.

Mullis invented PCR while working at a biotechnology company called Cetus.

He enjoyed working there, but he hated its embrace of safety culture. He hated the "safety officer" who was given power over him.
He called this man the "danger officer", because "all he ever did was put up DANGER signs".

This man covered up his glass cabinets with warning stickers, making it impossible to see the chemicals inside.

"Overnight, my lab had become a very dangerous place".
The safety officer also objected to Mullis storing beer bottles in the same fridge as his radioactive isotopes.

Mullis argued that radiation couldn't escape from a lead-lined container. Mullis won this battle because the president of Cetus also liked taking beer from the fridge.
3. Defending OJ Simpson.

Mullis was asked to be an expert witness at the murder trial of OJ Simpson, though he did not ultimately testify.

He had testified for the defense at murder trials before - "my role was to make sure the PCR-DNA work had been done fairly and accurately".
In OJ's case, Mullis thought "most of the DNA evidence should be thrown out on first principles."

Why? It was a "one-man line-up" - only OJ's DNA was tested. It was impossible to be sure that the test would not also put some other presumed innocent person at the crime scene.
Furthermore, the blood should have been stored without OJ's name on it, so that those carrying out the test wouldn't know whether the prosecution wanted a positive result.

Today, governments are mass testing for SARS-CoV-2 and nothing else. Another "one-man line-up". perhaps?
4. Nobody is taking care of us.

At 22, Mullis realised there was nobody taking care of humanity - no group of older, wiser people looking out for our best interests.

He realised this when his "description of the entire universe" was published by Nature.

nature.com/articles/21866…
Despite his "limited experience as a cosmologist", this piece of work was taken seriously by the foremost scientific journal in the world. The media picked up on it and he became internationally notorious for it.

But he knew that it was really just a "tentative hypothesis".
By contrast, the major scientific journals rejected him when he wanted to share the discovery of PCR - something which he knew would be extremely useful.

Nature and Science couldn't see it, and both turned him down.

He was eventually published by "Methods in Enzymology".
This experience taught him that not even scientific journals could be trusted, let alone the unscientific news media.

"The media are at the mercy of the scientists who have the ability to summon them, and the scientists who have such ability are not often minding the store."
5. Science is corrupt.

Mullis agreed with Nobel-winning economist James Buchanan: "there is no vested interest in seeing a fair evaluation of a public scientific issue".

Voters don't have time to study politics, so they are preyed on by politicians, bureaucrats and lobbyists.
Scientific advisors to governments, according to Mullis, are "always having to come up with the imminent disasters that can be prevented by governmental projects, sponsored by informed and well-meaning politicians".

What they are really doing is manipulating the public.
Mullis singles out the UN's IPCC, the EPA and others for providing corrupted science to politicians.

"If you can't actually measure something, or make an accurate prediction from a theory, and present it to a group of your fellows, be good enough not to disturb us about it."
As a result of the politically motivated funding of scientific research, Mullis says there is "very little experimental verification" when it comes to "important societal issues".

"Some of the big truths voters have accepted have little or no scientific basis."

Plus ça change..
6. AIDS: a symptom plus a positive test result.

Mullis was one of the most prominent scientists to question the connection between HIV and AIDS.

On reading this chapter of the book, I was shocked by the parallels between HIV/AIDS and SARS-Cov-2/Covid-19.

Buckle yourself in...
Mullis became interested in AIDS when he was involved in testing blood samples for retroviruses such as HIV.

When he looked for evidence that HIV caused AIDS, he could not find any experimental research to support this claim.

He kept asking for it, but nobody could provide it.
He then came across Peter Duesberg, a virologist at Berkeley, who said that no such evidence existed.

In this 2015 lecture, Duesberg notes that all of his funding from the US government's NIH abruptly dried up, as soon as he became a HIV-AIDS dissenter.

By contrast, Duesberg's former colleague at the National Cancer Institute, Robert Gallo, had no problems getting funded.

President Reagan's AIDS-related funding jumped to the billions on the back of Gallo's advice.

Gallo admitted in 1991 that he hadn't really discovered HIV.
So what are the similarities between SARS-CoV-2 and HIV? After listening to Mullis and Duesberg, I can think of many.

(1) Bad predictions.

The WHO was accused of making exaggerated, fear-inducing forecasts of AIDS deaths on the back of dodgy computer modelling.

Sound familiar?
(2) A disease of many symptoms.

According to Mullis, the CDC definition of AIDS was "one of more than 30 diseases", plus a positive antibody test. The list was constantly expanding.

Without a positive test, you only had some boring disease, not a killer virus.

Sound familiar?
(3) PCR as a diagnostic tool.

Mullis: "PCR doesn't tell you that you're sick [or] that the thing you ended up with was going to hurt you".

Against his wishes, PCR would be used as evidence of a disease, even in people with no symptoms.

Sound familiar?

bitchute.com/video/vsKaBsWh…
(4) A cure worse than the disease.

AZT, the treatment for AIDS, was “AIDS by prescription”, says Duesberg. In the lab, it could only be handled by people wearing PPE.

People took it because they were scared, and because beating AIDS was all that mattered.

Sound familiar?
(5) A familiar money trail.

The AZT drug was sold for profit by Burroughs Wellcome, which later become part of GlaxoSmithKline.

GSK's former head of R&D, Sir Patrick Vallance, is Chief Scientific Adviser to the UK government.

Sound familiar?

gsk.com/en-gb/media/re…
Meanwhile, Robert Gallo (who made the connection between HIV and AIDS) received millions from the Bill and Melinda Gates Foundation, to study vaccines for HIV.

As recently as 2011, Gallo’s organisation received more Gates funding, to continue the vaccine hunt.

Sound familiar?
(6) Crushing dissent.

In 2014, Frontiers in Public Health published an article, “Questioning the HIV-AIDS hypothesis”, which asked for a fresh debate on the issue.

The editor of Frontiers in 2019, Paolo Vineis of Imperial College, had the article retracted.

Sound familiar?
CONCLUSION

Well done if you've made it this far.

After all of this, I think we are finally in a position to speculate on what Kary Mullis, the inventor of PCR, would say about the Covid-19 pandemic.

He would say it is bullshit.

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More from @GrahamNeary

10 Dec 20
BREAKING - I have the latest monthly death registration data for Ireland.

The official numbers continue to proclaim that over 2,000 people died "from Covid".

But that just doesn't make sense - see below. 👇👇👇
Firstly, take a look at this chart showing monthly deaths per 1000 people (adjusted for late registrations).

January 2020 was unusually mild. And April 2020 was the same as Jan 2017 & Jan 2018.

It doesn't look as if the months add up to something worse than the average year...
...which is confirmed by my calculations.

2020, by the end of September, is now perfectly average compared to the prior five years.

Time to show you why the official story doesn't add up...
Read 5 tweets
7 Nov 20
BREAKING: LATEST MORTALITY DATA (released yesterday)

See below for my updated and extended charts, and a few new ones. 👇👇👇

There's a clear trend towards improving annual mortality, and no evidence of any impact from Covid.

Please share: everybody needs to know this!
Here's the raw data.

I've updated my estimates for the first half of the year, including all late registrations.

I've been deliberately pessimistic, and my pessimistic esimates are what you will see in the charts below.
First up, here are monthly registrations and the total from January to September.

April 2020 is the worst of all the months in my dataset.

And 2020 is 3.6% higher than an average year.

But the story is only beginning.
Read 8 tweets
5 Nov 20
Nobody who understands what I'm about to say can think about the Covid-19 crisis again in the same way. 👇👇👇

It's all based on objective data, and simple estimates.

Please retweet this and let's raise the level of understanding.
I've already shown that in Ireland, the first six months of 2020 were nothing special, in terms of deaths per 1,000 people.

The number of deaths was perfectly normal.

Quite surprising!

In that analysis, I adjusted for population growth.

But what about increasing age, which after all is Covid's major risk factor?

The ONS already did this for England: annual age-adjusted mortality is 2% worse than 5 years ago.

Wales is doing slightly better than 5 years ago:
Read 9 tweets
20 Oct 20
It has been requested that I do a simpler version of this thread, explaining why the modellers advising the Irish government are so amazingly wrong in their forecasts and in their understanding of the risk from Covid-19.

Here goes. 👇
1. The death count is wrong. We know this because it has been admitted to be wrong by the government (including by Leo Varadkar) and the number itself makes no sense.

All explained here:

2. The modellers think very few people have been infected so far. Wrong.

They say less than 2% of the population had antibodies 10-14 weeks after the epidemic peak.

But research suggests many people already lose their antibodies 8 weeks after infection.

nature.com/articles/s4159…
Read 8 tweets
19 Oct 20
Why is Ireland locking down again? Look no further than our Covid-19 spreadsheet modellers.

They are unshakeable in the belief that Covid-19 remains a deadly threat to the population. But as I'm about to reveal, they are standing on shaky ground.

Thread. 👇👇👇

#level5 #NPHET
Meet Professor Philip Nolan, Chair of the Epidemiological Modelling Group on Ireland's NPHET. This man is the key provider of Covid-19 statistical analysis and forecasts to the Irish government.

Think of him as the Irish equivalent of Neil Ferguson.

In the thread above, he claims that about 1/3 of all infections were detected by PCR during the epidemic peak in April.

If that's true, and testing continued to find a high % of cases, then total infections so far might only be c. 100k-150k (vs. the official case count of 50k).
Read 13 tweets
18 Oct 20
We don't have a Covid crisis - we have a public information crisis.

That's my conclusion, after reviewing the latest mortality data from Ireland.

Here are my updated and extended charts.👇👇👇

Please retweet to help get the word out.
Firstly, remember that "Covid-19 deaths" includes people who died of other things.

Leo Varadkar:

"We counted all deaths, in all settings, suspected cases even when no lab test was done, and included people with underlying terminal illnesses who died with Covid but not of it."
Secondly, take a look at the unadjusted all-cause mortality data (with thanks to @Thorgwen).

You'll note that April 2020 (based on deaths registered so far) is comparable to flu months in January 2017 and January 2018.

Year-to-date registrations so far, up to June, look normal.
Read 9 tweets

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