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450 points pseudolus | 2 comments | | HN request time: 0s | source
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CaptWillard[dead post] ◴[] No.43569290[source]
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rimunroe ◴[] No.43569308[source]
What are you referring to?
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MSFT_Edging ◴[] No.43569336[source]
He is making a stink about Covid vaccine requirements during a period where hospitals were overflowing and bodies were being stacked in refrigerated trailers.
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rimunroe ◴[] No.43569453[source]
Vaccines were a miracle. The state medical examiner converted one nearby university’s arena to a temporary morgue at one point in 2020. It’s mind boggling that people were and still are in denial about how bad it got before large parts of the population started getting vaccinated
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somenameforme ◴[] No.43569929{3}[source]
Look at the timeline of literally any plague, as they all follow a very similar pattern. For instance here [1] is the one for the Spanish Flu. There are a number of peaks and valleys that gradually recess to noise as viruses tend to evolve to less virulent forms while people also simultaneously develop broader immunity. This makes observational data highly unreliable for determining the efficacy of a vaccine during a plague.

The same is true of mortality/severity rates by vaccination status in hospitals. People who opt in to a vaccine are generally going to be more inclined to seek hospital treatment than those who opt out of such. So if somebody unvaccinated went to the hospital for COVID it would naturally be, on average, a much more severe case than a vaccinated person going to the hospital, with worse overall outcomes. And so you skew the results when looking at hospital data.

These biases and trends are facts most people may not be aware of, but big pharma certainly is.

[1] - https://en.wikipedia.org/wiki/Spanish_flu#/media/File:1918_s...

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1. rimunroe ◴[] No.43570717{4}[source]
> These biases and trends are facts most people may not be aware of, but big pharma certainly is.

I have a hard time believing that “most people” also means “most epidemiologists” or “most medical organizations” would be unaware of such an obvious problem. It seems like it would be day one of school stuff.

It seems trivially obvious to me, someone whose closest qualification to being able to debate the actual science here is having a bachelor’s in physics and very technically being involved in some academic research. I’m not going to second guess the overwhelming majority of scientists and medical professionals I’ve heard comment on this because of something like that.

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2. somenameforme ◴[] No.43572394[source]
I mean laymen. All epidemiologists and the like are certainly aware of such problems. You'll see these biases and many others buried in the discussion/limitations or other such section in any study. Here's [1] a random one from the CDC:

- "confounding might exist because the study did not measure or adjust for behavioral differences between the comparison groups"

- "these results might not be generalizable to nonhospitalized patients who have ... different health care–seeking behaviors"

Along with many more. The problem is that there was no meaningful public debate whatsoever. You were on board with absolutely anything and everything, or you must be an "anti-vaxer" and just wanted everybody's grandmother to die, and probably also thought COVID was caused by 5G.

[1] - https://www.cdc.gov/mmwr/volumes/70/wr/mm7044e1.htm