1/F

SARS-CoV-2 lab conspiracy theorists are again misrepresenting scientific fields they have not bothered to try to understand.

This time they're applying their paranoid distortions to immunology. So that deserves a thread.



Image
2/F

When SARS-CoV-2 infects a person, the person's immune system increases production of proteins known as antibodies that bind to SARS-CoV-2.

So if SARS-CoV-2 escaped from the WIV by infecting staff, then that would show up in antibody tests.

Yet...
who.int/docs/default-s… Image
3/F

Conspiracists don't like that result, so they abuse an antibody study I discussed awhile back.

That study estimates ~4% of Wuhan had increased antibody levels; i.e. ~4% seroprevalence, so ~4% of people previously infected.



thelancet.com/journals/lanwp… Image
4/F

Conspiracists use that ~4% to estimate the probability that none of the WIV staff would have increased antibody levels.

They say the probability is low, so the WIV results are untrustworthy.





Image
5/F

The conspiracist's analysis is incompetent. But that's typical of lab conspiracists, especially those linked to DRASTIC.

For example, the WIV testing is for March 2020. Yet the Wuhan-wide ~4% is mid-April 2020, when there would be more infected.

thelancet.com/journals/lanwp… Image
6/F

SARS-CoV-2 infections often happen in clusters, such as infections among those living together or at indoor events.

So infection risk is not equal for everyone, especially if you're not linked to a cluster.



Image
7/F

The Wuhan-wide study shows infection risk varies with various factors.

Laboratory workers would presumably spend more of their work day in conditions that lower infection risk, unlike, for instance, store employees exposed to infected people

thebulletin.org/2020/05/let-ev… Image
8/F

Infection rates vary by location, even in populations that don't have more procedures + equipment preventing them from being infected (ex: outpatients).

Makes it more unsurprising that infection rate could be lower among lab workers tied to 1 site

jamanetwork.com/journals/jaman… Image
9/F

Also note that the conspiracists assume its ~600 people who tested negative for antibody increases. Unclear where they're getting this from.

who.int/docs/default-s…



Image
10/F

So we have a bunch of paranoid non-experts running a shoddy calculation that doesn't take into account things like time-frame, infection clustering, infection-preventing behavior, location, etc.

And they criticize the WHO team with this. 🙄

onlinelibrary.wiley.com/doi/full/10.11… Image
11/F

Looks like a major source of a lot of this misinformation was Steven Quay.

Again. 🤦‍♂️

Why is any sensible person still taking him seriously on the topic of COVID-19?



Image

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More from @AtomsksSanakan

28 Jun
1/U

Sometimes John Ioannidis just makes me laugh. 😀

In the slide below, Ioannidis discusses age-specific IFR (infection fatality rate), i.e. what proportion of SARS-CoV-2-infected people die of the disease COVID-19 at various ages.

22:23 - 23:18:
3/U

Ioannidis says his Axfors estimates mostly agree with O'Driscoll:

from 23:04


Yet experts noted for around year that his Axfors estimate is a low outlier.

So what's going on here?

publichealthontario.ca/-/media/docume…
Read 9 tweets
28 Jun
2/T

I + others argued with lab conspiracists for over a year. We saw their arguments + addressed them in detail; that's how we know they're nonsense.

I'll thus often link to threads that explain points in detail, so I don't have to rehash it all here.

3/T

You often need serology (i.e. antibody) studies to tell who's been infected, since many infections are missed otherwise.

Those studies show more prior infections with SARS-like viruses.




archive.is/hFqmR#selectio…
Read 21 tweets
8 Jun
1/Z

An annoying thing about many SARS-CoV-2 lab conspiracists is they don't learn a da*n thing, no matter how much it's explained to them.

Example from WSJ, Steven Quay, + Richard Muller:

"The science suggests a Wuhan lab leak"
wsj.com/articles/the-s…
archive.is/MfmLd Image
2/Z

Quay + Muller's 'codon usage' point is not new.

Ex: Bret Weinstein was making the point months ago, and Nicholas Wade did more recently.

It's a favorite talking among the conspiracy theorists.



https://t.co/jGJkNUBui0

thebulletin.org/2021/05/the-or… Image
Read 14 tweets
23 May
1/V

Quick thread on another reason why I don't trust Vinay Prasad.



I'm an immunologist, and one of the main reasons I first came to Twitter 4 years ago was to debunk vaccine denialism.



2/V

To be blunt, I know more about immunology and vaccines than Prasad. This is not his field of expertise.

The study he cites does not support the claim he made:
science.sciencemag.org/content/371/65…

And the John Snow memo is pretty good:



3/V

There were good reasons for thinking COVID-19 vaccines would induce a better immune response than infection.

I was not the first to point this out (h/t @drjenndowd).




Read 10 tweets
14 May
1/N

Many non-experts peddle garbage articles from Nicholas Wade defending the conspiracy theory that SARS-CoV-2 came from a lab.

This shows much of the defense of 'lab leak' isn't based on knowledge, but instead paranoia, etc.

nicholaswade.medium.com/origin-of-covi…

thebulletin.org/2021/05/the-or… Image
2/N

For context:
This is not the first time Nicholas Wade said nonsense outside his field of expertise to suit his preferred ideologically-motivated narrative, despite experts correcting him.



sciencemag.org/news/2014/08/g…

cehg.stanford.edu/letter-from-po… Image
Read 10 tweets
28 Apr
1/Y

Many criticized the article below co-authored by Jay Bhattacharya, who also co-wrote the Great Barrington Declaration.

But I haven't seen a detailed explanation of why the article was wrong + dangerous. So I'll give one here



theprint.in/opinion/majori…
3/Y

Imagine the spread of SARS-CoV-2 as an accelerating car.

Some brakes help slow the car, such as masks, social distancing, contract tracing, etc.

But even without brakes, the car will eventually start slowing down on its own; that's herd immunity.

Read 26 tweets

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