1/H

There was a recent effort to champion Nate Silver (@NateSilver538) as a non-expert who speaks uncomfortable truths experts don't want to hear.

That's misguided, as we can see by examining how many SARS-CoV-2-infected get hospitalized.

2/H

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.

Infection hospitalization rate, or IHR, is like IFR, but with COVID-19 hospitalizations instead of deaths

institutefordiseasemodeling.github.io/nCoV-public/an…
3/H

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

Dividing COVID-19 hospitalizations by that number of infected people gives a seroprevalence-based IHR.

IHR is good to know.



4/H

Neil Ferguson's team at Imperial College gave IFR + IHR estimates for Great Britain (GB) and the USA in March 2020.

Their IFR estimates held up well for the mitigated pandemic that actually occurred.

Their IHR was ~4.4%.



spiral.imperial.ac.uk:8443/bitstream/1004…
5/H

This is where Nate Silver objects.
He claims IHR was more like ~2%, and so Ferguson et al.'s ~4.4% value was an over-estimate.

He's been saying this for about a year or more, despite people repeatedly explaining he's wrong.



6/H

Silver recently brought up this up again, after experts correctly criticized his non-expert + uninformed claims on vaccine policy / communication.

So he may have thought pointing out experts being wrong might help him.



7/H

With that background out of the way, it might help to assess how Silver's claims held up in comparison to experts like Ferguson et al.

Well, the CDC's most recent IHR is ~4.9%. So not a good start for Silver.



web.archive.org/web/2021042521…
8/H

IHR is higher for nursing home residents, consistent with higher IFR for nursing home residents + older people due to more severe infections.

So IHR can be higher in older populations + lower elsewhere
ncbi.nlm.nih.gov/pmc/articles/P…
medrxiv.org/content/10.110…

link.springer.com/article/10.100…
9/H

Yet under-estimating IHRs by excluding nursing home residents, leads to IHRs are at or above Silver's value of ~2%.

With the CDC's analysis, that further undermines Silver's IHR claim.

"2.1%"
ingentaconnect.com/content/wk/phh…

"2.7%"
sciencedirect.com/science/articl…

sciencedirect.com/science/articl…
10/H

So where did @NateSilver538 go wrong?
It goes back to the New York study he relied on.

People who've read some of my IFR threads, especially those on Ioannidis, know what I'm about to say:
non-representative sampling. 🙂



ncbi.nlm.nih.gov/pmc/articles/P…
11/H

The study Silver relied on sampled only those in grocery stores. None of the IHR work cited in 7/H to 9/H did that.

So Silver likely over-estimated the number of people infected, + thus under-estimated IHR.



ncbi.nlm.nih.gov/pmc/articles/P…
12/H

Silver messed this up because he's a non-expert.

What he should have done was run this by experts first, + listened when they corrected him.
Instead he stuck to his false claims despite correction, + used this to unfairly criticize experts.

onlinelibrary.wiley.com/doi/full/10.11…
13/H

Silver often does this sort of "epistemic trespassing," where he contradicts experts in a topic, when the problem is that he doesn't understand the information that experts do.

For example, on climate models (after speaking to @ClimateOfGavin):

14/H

To modify @Potholer54T's rule:

If you're a non-expert disagreeing with the evidence-based consensus of scientific experts, then either:
1) experts know less than you
2) experts covered up what they know
3) experts know more than you

Start with #3
15/H

Silver claims that in March 2020 the consensus range for IHR was 5% - 20%.

His citation of the New York Times doesn't make his case, since the range they let people choose is not the same as a best estimate for the model.



16/H

Looking back, several sources either:
- use Ferguson et al.'s IHR value of 4.4%
- use a value of ≤8%

Either option is consistent with the range of IHRs given in parts 7/H to 9/H.

The WHO gives a higher value, when just relaying information on reported cases.
18/H

So Silver made unsupported claims on what the "consensus" showed, to make himself look more accurate than experts.

In reality, the evidence-based expert consensus was right, and Silver wrongly downplayed the risk of COVID-19


Twitter isn't showing part 15/H for some reason, so here it is:

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More from @AtomsksSanakan

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… Image
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 24 tweets
11 Apr
1/T

As we get closer to the end of the pandemic, it's worthwhile to look back on false claims that helped make the pandemic worse.

One of these claims was:
COVID-19 is not much of a danger to people outside of nursing homes + other institutions.

2/T

John Ioannidis is a proponent of this claim.

He argued that relatively few SARS-CoV-2-infected people died of the disease COVID-19, outside of nursing homes.

In other words: the infection fatality rate, or IFR, was low outside of nursing homes.

institutefordiseasemodeling.github.io/nCoV-public/an…
3/T

He defended this idea since at least early May 2020. And he continued to defend it in his most recent work:

"in Europe and the Americas (~0.2% among community-dwelling non-institutionalized people)"
onlinelibrary.wiley.com/doi/10.1111/ec…

medrxiv.org/content/10.110…
sciencedirect.com/science/articl…
Read 10 tweets
3 Apr
1/U

You may recently have heard that COVID-19 has a fatality rate of ~0.15%, making it akin to a bad flu.

In reality, a more accurate fatality rate would be closer to ~0.6%, as per the WHO.
That's ≥10X worse than seasonal flu, and ~100X worse than the 2009 swine flu pandemic.
2/U

Background:

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

IFR for seasonal flu is <0.1%, as per the WHO, among others:
who.int/emergencies/di…



institutefordiseasemodeling.github.io/nCoV-public/an…
3/U

So, following @BallouxFrancois, who in their right mind would claim COVID-19 has an IFR comparable with that of seasonal flu?

Well, I can think of at least 2 people.
You likely know who one of them is. 😉

from 2:27 :
Read 30 tweets
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 48 tweets
26 Mar
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



Read 11 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

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