It is critically important that we learn the right lessons from covid, not the wrong ones. They are:

1. Doom predicting models were wildly wrong

2. "NPI" measures were ineffective and horribly destructive.

3. Harm done by panic was many times worse than harm done by virus.
Do I even need to post any supporting data about how wildly wrong the models were? I don't think so.
El Gato provides a reminder in the latter part of this article of how ineffective the "measures" were and a warning to not let history be rewritten. Causation without correlation is vanishingly unlikely.

boriquagato.substack.com/p/returning-to…
@ianmSC has produced so many graphs that are, taken as a whole, utterly convincing that all these measures have accomplished ... nothing. Like this one:

This thread provides a great reminder of the many devastating results of covid "measures". Many of these, all by themselves, are far worse than covid itself could ever have been. This was not hard to foresee. @MarkChangizi

Do NOT let those who have been so horribly wrong through this whole ordeal re-write history to cover up the disaster they have caused with their panic and insane restrictions. Be vigilant. Speak up.

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More from @charlesbrew

22 May
The Moment I Knew Health Authorities Were Lying

In August of 2020 this article appeared in the WSJ
wsj.com/articles/face-…
The top study mentioned in the article was this. This was the number one most cited study on mask effectiveness at the time. A co-author was the director of the CDC at the time.

jamanetwork.com/journals/jama/…
So what’s in the study? They tested symptomatic health care workers Mass General Brigham. And they found that the percentage of positive test results went up from 0% to 15% from March 1 to 25 before masks were mandated.
Read 14 tweets
17 May
Covid Natural Vaccine Immunity vs. Vaccine Immunity

Institutions foolishly seem determined to ignore immunity from natural infection. So I have reviewed the evidence regarding how powerful natural immunity is, and how it compares to immunity from vaccines.
Covid Reinfections to Date

Surely the most obvious question to ask regarding the strength of natural immunity is how many reinfections have there been. Covid has been around for more than 17 months.
There have been more than 163 million cases reported. The risk of reinfection should be quite evident by now. How many reinfections have there been?

Globally there are 72 confirmed re-infections of covid, out of over 163 million cases. 3 confirmed deaths.
Read 16 tweets
12 May
Comparison of Severe Adverse Events from Pfizer Vaccine vs.15 Months of COVID Hospitalization Risk

I’m trying to make sense of the relative risk of vaccine vs. virus for young people. Looking for help. @Humble_Analysis @gerdosi @AlexBerenson
According to the data from the Pfizer trial, a 15 year old who takes the vaccine has an extra 0.3% risk of a “serious adverse event” in the seven weeks between first dose and one month after second dose. "Serious adverse event" basically means hospitalization or worse.
The cumulative rate of hospitalization of 5 to 17 year olds with covid over the past 15 months of exposure in the USA is 0.03%.

So the risk of serious adverse events from the vaccine is 8.9 times as big as the risk of hospitalization due to 15 months of covid exposure.
Read 10 tweets
23 Oct 20
This remarkable study seems not to have gotten the attention it deserves.

medrxiv.org/content/10.110…

1. It finds antibody seroprevalence of 47% in Tokyo by late August! One of the highest reported rates in the world.
2. And this by a study where anyone with symptoms was excluded from the study and in a place with a vanishingly small rate of covid illness or death.
3. The all-import question here is how could such a high level of measured infection lead to such a tiny amount of illness or death?

It can't be anything related to measures to control the virus, it apparently was spreading like mad.
Read 8 tweets

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