1/C

One my pet peeves is tone trolling, which is:
emphasizing the *tone* of a discussion on X, to avoid addressing the *substance/evidence/facts* on X.

This thread will cover an instance of tone trolling from @VPrasadMDMPH.



2/C

In the above tweet, Prasad uses tone trolling to defend John Ioannidis. Since at least March 2020, + continuing to now, Ioannidis made obviously incorrect claims that downplayed the risk of COVID-19.





web.archive.org/web/2020121700…
3/C

Example: Ioannidis so under-estimated the proportion of people infected people who die of COVID-19 (i.e. the infection fatality rate, or "IFR"), that he needs more people to be infected than actually exist.

That's impossible



4/C

To my knowledge, Prasad never acknowledged how off-base Ioannidis' claims were + continued to be. Prasad instead tone trolls in response to "Carl" (@CT_Bergstrom), + says he disagrees with some of Ioannidis' points.

Many people saw thru that:

5/C

But what's telling is that in the middle of 2020 lockdowns during the COVID-19 pandemic, Prasad defended the same sort of impossible claims Ioannidis made.

In fact, Prasad gave COVID-19 fatality rates that are impossibly low



6/C

For example, assume Prasad does not claim that:

1) IFR increased beyond what he + Ioannidis showed,
2) COVID-19 deaths are so over-estimated that he descends into COVID-19 denialism.

Then here are some of the infection rates he's going to need to match his IFRs from 5/C:
7/C

- Los Angeles (LA) County:
>1900%; >100%
coronavirus.jhu.edu/us-map

- USA ("Flu-like Surveillance")
>300%
coronavirus.jhu.edu/data/mortality

- Sweden ("Pregnant Sample"; "Swedish Study")
>200%; >100%
coronavirus.jhu.edu/data/mortality

- Stockholm ("Swedish Study")
>160%
sll.se/verksamhet/hal…
8/C

Prasad committed the same distortion as Ioannidis, which I, @GidMK, + others pointed out for months:

He used non-representative samples that over-estimated the number of infected people, + thus under-estimated IFR.

Yet:



9/C

So despite the fact that @GidMK's tone was polite, Prasad still tone trolls anyway, instead of actually addressing @GidMK's valid criticisms of Ioannidis' impossible claims.

It should be clear that Prasad is just evading.



10/C

Thus Prasad, Ioannidis, etc., avoid grappling with how wrong they were, or why they kept using impossible claims to undermine policies they disliked (ex: school closure, lockdowns).

They can simply deflect, ignore, tone troll, etc.

And people keep falling for it.
🤦‍♂️
11/C

Also, part 7/C is a *non-exhaustive* list of times Prasad under-estimated IFR. If I showed all the times he illegitimately downplayed the severity of COVID-19, I'd be making way more tweets. 😒

For example, the ~0.12% IFR for Wuhan makes no sense.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Atomsk's Sanakan

Atomsk's Sanakan Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @AtomsksSanakan

27 Mar
1/J

John Ioannidis published an article defending his low estimate of COVID-19's fatality rate.

It contains so many distortions that I'll try something I've never done on Twitter for a paper:

Go thru distortions page-by-page.

This will take awhile. 😑

onlinelibrary.wiley.com/doi/10.1111/ec… Image
2/J

Some context:

Infection fatality rate, or IFR, is the proportion of people infected with the virus SARS-CoV-2 who die of the disease COVID-19.

There are many IFR estimates, including some from Ioannidis.



institutefordiseasemodeling.github.io/nCoV-public/an… Image
3/J

Seroprevalence studies (serosurveys) measure antibody levels to estimate the number of infected people.

Dividing COVID-19 deaths by that number of infected people gives a seroprevalence-based IFR.



who.int/bulletin/volum… Image
Read 26 tweets
6 Mar
1/G

I made some threads on how those behind the Great Barrington Declaration (GBD; @gbdeclaration) spread disinformation on COVID-19.





On this thread I'll go over some reasons why the GBD itself is nonsense
2/G

GBD's main point is "focused protection"; i.e. strategies that limit infection risk among older people + others at greater risk of dying from COVID-19, while allowing less vulnerable people to live with less restrictions.

gbdeclaration.org
3/G

An obvious problem with that is infection can spread from people less at risk of dying from COVID-19, to people at greater risk of dying from COVID-19.

So allowing the non-vulnerable to get infected places the vulnerable at risk.

ncbi.nlm.nih.gov/pmc/articles/P…
Read 19 tweets
24 Feb
1/E

Various southeast Asian nations suffered relatively few COVID-19 deaths per capita, especially in comparison to many "western" nations.

There's been a lot of speculation on why this is.
So this thread will examine some possible explanations.

archive.is/FkAho
2/E

There are at least 3 types of explanation for what's occurring in various southeast Asian countries:

1) insufficient testing that misses many infections and/or misses many COVID-19 deaths
2) lower number of infections
3) lower proportion of infected people die of COVID-19
3/E

For explanation 1:
It's unlikely their testing misses more deaths, since their excess deaths don't outpace their reported COVID-19 deaths more than in many 'western' countries.

nytimes.com/interactive/20…
bbc.com/news/world-530…
economist.com/graphic-detail…

ncbi.nlm.nih.gov/pmc/articles/P…
Read 20 tweets
22 Feb
1/B

The Santa Clara study co-authored by Bendavid, Bhattacharya, Ioannidis, etc. is now out.

Time to once again cover the reasons why it's very wrong.

medrxiv.org/content/10.110…

"COVID-19 antibody seroprevalence in Santa Clara County, California"
academic.oup.com/ije/advance-ar…
2/B

Let's set aside the funding / conflicts of interest underlying the paper, and other such issues. See @stephaniemlee's insightful reporting on that.

This thread will focus more on the scientific points.

buzzfeednews.com/article/stepha…

buzzfeednews.com/article/stepha…
3/B

Background:

When a virus infects u, your body increases production of proteins known as antibodies, which are usually specific to that virus.

So measuring antibodies lets u estimate who was infected, and from that the infection fatality rate (IFR).

institutefordiseasemodeling.github.io/nCoV-public/an…
Read 19 tweets
19 Feb
1/M

Many contrarians cite the Wall Street Journal (WSJ) article below from @MartyMakary.

A good rule-of-thumb is to not rely on what WSJ says about science, especially science they find inconvenient for their right-wing ideology.

I'll illustrate why.

wsj.com/articles/well-…
2/M

Some background:
- PFR, or population fatality rate, is COVID-19 deaths per capita (i.e. per the total population)
- IFR, or infection fatality rate, is COVID-19 deaths per infected person

Makary gives an IFR of 0.23% for the USA:

archive.is/vsDyt#selectio…
3/M

Mackary likely uses John Ioannidis' long-debunked paper:
who.int/bulletin/volum…

That makes no sense since 0.23% is Ioannidis' *global* estimate. The USA's IFR would be higher than that, since IFR increases with age and the USA is older on average

link.springer.com/article/10.100…
Read 16 tweets
16 Feb
1/Y

Ivor Cummins (@FatEmperor) lists articles he claims shows lockdowns are not effective. The Great Barrington Declaration exploited this list.

This thread will debunk Cummins' claim, while giving some further context.

thefatemperor.com/published-pape…

3/Y

Cummins responded to @dr_barrett's thread with a video that is... ridiculous:


There's a comment thread rebutting Cummin's response video:


I'll summarize some of the thread's points here.

Read 27 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!