Well here is another claim, for another drug, which uses, also zinc, plus an 
antibiotic. Orange Man obviously, never heard of this one. The effect seems the 
same or even better than hydrochloro-  Here is the reportage... Sky News (be 
warned!). 
I hope it works as indicated because it's also very cheap! 
https://www.youtube.com/watch?v=F6A6RFDprIs&feature=youtu.be
 


-----Original Message-----
From: Jason Resch <[email protected]>
To: Everything List <[email protected]>
Sent: Sun, Aug 9, 2020 1:41 pm
Subject: Re: Sharpiegate

Why is it that every study that looks at early administration or prophylactic 
use was either inconclusive or showed a benefit? Is it all a coincidence?  
Every set of scientists was biased, and by random chance was led to an 
incorrect conclusion?  When 32 out of 32 studies concluded there was a positive 
result so long as it is not given late, and when given late, a majority of the 
studies showed it was still beneficial, then even though the science is not 
settled definitively, I think it is leaning in a particular direction.

John treats HCQ like ESP, with no science behind it. Yet in vitro studies 
clearly showed its anti-viral properties, especially when co-administered with 
zinc. There was a reason to believe it would be effective. It concentrates in 
the lungs, and is a zinc ionophore, and zinc interferes with RNA viral 
replication. Even the NIH, in 2005 concluded "Chloroquine is a potent inhibitor 
of SARS coronavirus infection and spread" for the first SARS-Cov-1 virus: 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1232869/
It's good to challenge and doubt, that is what science is. But we're in 
uncertain times, the science is not settled on this question one way or 
another. 
Jason

On Sun, Aug 9, 2020, 6:02 AM PGC <[email protected]> wrote:



On Sunday, August 9, 2020 at 1:23:17 AM UTC+2, Jason wrote:
I know that arguing with you is generally a waste of time, but since lives are 
at stake I felt it necessary to correct some of what you say below.
On Sat, Aug 8, 2020 at 7:04 AM John Clark <[email protected]> wrote:

On Fri, Aug 7, 2020 at 4:20 PM Jason Resch <[email protected]> wrote:


> So infection rates in the control group were 14.3% and in the group receiving 
> HCQ were 11.8%.  That's an absolute risk reduction of (14.3-11.8)/14.3 = 
> 17.5%.

And that is a rate that is not statistically significant, that is to say it was 
most likely a random artifact produced by the small sample size. And that is 
why every scientist who knows something about statistics was not hailing this 
is a major milestone in the fight against COVID-19 but instead was telling 
people to stop wasting their time talking about hydroxychloroquine and use that 
time to look for something that might actually work. 

I think you understand the difference between significant and statistically 
significant.  When the drug was administered within 3 days after exposure, it 
reduced by half the number of people who developed symptoms. That is very 
significant, if indeed that reflects the true rate of reduction.
However, the test size and methodology for this study left a lot to be desired. 
That is why, despite showing significant results, it was unable to attain 
statistical significance. That means a large study is needed, not that we can 
conclude it does or doesn't work.
 
Of course there are still plenty of people screaming about the wonders of 
hydroxychloroquine, but none of them are scientists who know something about 
the subtleties of statistics; they are instead Internet pundits with 20 minutes 
of study of the science of epidemiology under their belt, fascist politicians 
desperate to win reelection, and quack doctors who babble about demon sperm and 
vaccines made from space alien DNA.

You are falling back into doing politics, not science. Look at the studies. I 
read the abstracts of all 65 of the studies that have been done. Ignore the 
politicians completely when it comes to this question. 

Yes some early small scale tests hinted that hydroxychloroquine might be useful 
but the most important of them was retracted, to the great embarrassment of the 
journal involved, because the data used in it was suspect: 

Retraction—Hydroxychloroquine or chloroquine with or without a macrolide for 
treatment of COVID-19: 

That study was retracted because they demonstrably made up data. When they were 
called out on it, refused to show the data they used. 


And later much larger and much better conducted trials  indicated 
hydroxychloroquine conferred no benefit in the treatment of COVID-19 and if 
anything was harmful:
Three big studies dim hopes that hydroxychloroquine can treat or prevent 
COVID-19



Let's look behind the headline at each of those three studies.
1. The Recovery Trial: https://c19study.com/recovery.htmlThis was study gave 
the drug at a very late stage, when people were on ventilators and close to 
death. If you study the disease progression, it occurs in two phases. By the 
time the person is low on oxygen the virus is already being cleared by the 
immune system, it is when the disease becomes an immune disorder that is 
deadly. Anti-viral drugs are too late at that time, but some anti-inflammatory 
sterorids have shown promise at this stage: 
https://www.sciencemag.org/news/2020/06/cheap-steroid-first-drug-shown-reduce-death-covid-19-patients
2. This is the Minessota study we discussed above: 
https://c19study.com/boulwarepep.htmlIt cut the disease rate in half when given 
at 72 hours after exposure, but the test was not statistically powerful enough, 
as in addition to being small, they combined the results with people who 
received the drug well after they were exposed.
3. The Barcelona study:  https://c19study.com/mitjapep.htmlThe article claims 
it showed HCQ is ineffective. Did it? No it showed death rates were reduced 
from 0.6% to 0.4%. A reduction by 33%. But again, their sample size was too 
small, this is based on 8 control cases and 5 treatment cases.

We have studies where the drug is given to people at death's door, which show 
it is not effective, and we have statistically weak studies (owing to the fact 
that a small number of people ever get the disease) where it is used 
prohplatically or after exposure.  In every case where it is given early or 
prophylactically, studies have shown a benefit.  Perhaps if you combine all of 
these together you can get statistical significance.  If I were exposed, I 
would paythe $20 for a 30% to 50% chance of stopping the disease cold.

Those websites (hcqtrial and c19study) assume novel and creative approaches to 
randomization, which they themselves admit:
"As for "country-randomized controlled trial", we note that the term is new, 
without an existing definition, so we do not know why this is problematic." 

Playing ignorant, they pretend as if they did not know that laypersons and 
social media would make them go viral as they attempt to mimic the language, 
styles, jargon of medical publications while citing cherry picked real journals 
and data. This is done to confer unjustified legitimacy/authority to the claim: 
"The treatment group has a 79.1% lower death rate" based on "large trial with 
2.0 billion people treatment group and 663 million in the control group"; 
wherein the language is designed to imply the completion of a large 
international clinical trial, which is fictitious, even if data cited appears 
valid and discussion/questions raised are not without merit. This, while the 
standard data pertaining to detailed population description remains absent and 
the authors perform a bullet list "account of biases", as if it had bearing on 
the population description they did not provide. Different countries used 
differing treatment and standard of care protocols, so claims connected to a 
"2.0 billion people treatment group" are what they are.
Why they used the word "trial" when everything is purely observational, and 
therefore meant to mimic legitimacy to laypersons and peddlers of ideology... 
also is what it is. Indeed, those 2 websites are interesting and yours truly 
will pass them on to more competent folks. But not because I believe them, but 
because everybody here assuming themselves so sophisticated in parsing studies 
because of their backgrounds and MDs across Twitter seem eager to swallow this 
hook, line, and sinker. Talk about engineering credibility: all it takes for 
you guys is an anonymous, slick website with some linguistic moves, couple of 
graphs, and references... and you'll spam it infinitely. So keep up the 
spamming: THAT is the interesting data for yours truly. PGC


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