Honestly does not sound too reputable to me on this specific subject matter.
Edit: I realize now that you are saying to listen to the podcast guest, not Lex Fridman himself. Is this the episode? https://www.youtube.com/watch?v=oIOGUYOPAsA
"The Great Barrington Declaration […] advocated letting the virus spread in lower-risk groups with the aim of herd immunity, with "focused protection" of those most at risk." [0]
https://www.reuters.com/article/uk-factcheck-94-percent-covi...
You should go back to the person who told you this lie and ask them why they did it. A simple accounting of excess deaths ( https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm ) is all you need to dispel the notion of a 0.02% fatality rate.
That’s from sep 2020. I think professor Bhattacharya is aware of the numbers.
Professor Bhattacharya is apparently one of the main instigators of https://en.wikipedia.org/wiki/Great_Barrington_Declaration .
So I think he is fudging the numbers.
By a factor of ten?!?
As an example, a Stanford professor by the name of Dr. Scott Atlas was a prominent voice within the Trump administration who actively advocated disobedience of public-health orders at the state level. When the professor posted this (since-deleted) tweet:
https://i.imgur.com/z0OsMcg.png
.... I wrote his department head. "I thought you should know that some idiot is out there claiming to be associated with your university." They replied, "Agreed, this is irresponsible at best."
Funny thing, though. Dr. Atlas is still a Stanford-affiliated professor, more than a year later: https://profiles.stanford.edu/scott-atlas Tenure is a powerful thing, I guess. Stanford apparently can't distance themselves from this clown, but you and I can and should. That's not who you listened to, by any chance, is it?
What's not debatable is that the fatality rate is not 0.02%, or anything close to it. The numbers don't work. If that's what he's saying, then he's telling you that your state and local health authorities have been lying to you all along... and while not an unprecedented thing (unfortunately), that's still a deadly serious accusation. You should demand that he back it up with solid citations. He won't, so you'll need to look at other sources of data and evaluate them to the best of your ability if you want to get a more accurate picture.
In the meantime, it's important not to spread false info during a pandemic, as I'm sure you'd agree.
Why do you trust this guy's assertion on how many excess deaths there have been over the last two years, and their cause, more than the CDC's numbers?
I listened to the podcast again and he said he conducted serology studies pre-vaccine that indicate an overall lethality of 0.2% but 0.05% for everyone who isn’t 70 years old or whatever. That’s detection of antibodies with 0.05% false positive rate and then a follow up on death early on in the pandemic.
So one might point out that I changed my number from 0.02 to 0.2 and this is true. But what’s also true is that there’s a huge difference between 4% and 0.2%. And I was right to point out that 1-4% is bullshit. I feel mad because I remember hearing the 0.2% number all the way back at the start of the pandemic but everyone shouted it down. And here we are and it was right after all…
Let's for a moment assume your source is correct. If you were "right" to call out someone's "bullshit" because they were an order of magnitude high in their numbers, do you recognize that we were right to call out your bullshit for being an order of magnitude low with your number?
> SARS1 has 20% mortality among patients, MERS (aka SARS2) is up around 35-40% fatal, SARS-NCoV19, aka SARS3, is down around the 1-4% fatality level.
"Among patients" would make me assume that Stross is talking about case fatality rates, not infection fatality rates.
1-4% is a reasonable range for CFR, even if it's too high for IFR.
(Some quick Googling after the fact also shows that while MERS had a CFR in the 30-40% range, its IFR was estimated at more like 0.3-0.7% -- roughly the same range as COVID. Large numbers of undetected mild cases were cited as the reason for the large difference.)