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2021-

2021-09-19 c
THE STATE OF THE DISUNION III
(How do they lie to us? Let us count the ways.)

why "vaccinated covid deaths/hospitalizations" are being counted incorrectly

and how to do it properly

by el gato malo

[...] now let’s lay out some salients:

vaccines seem to provide efficacy against severe covid and death. but they do not provide efficacy against “cases” or even “symptomatic cases” and look to actually have negative VE in that regard. (analysis HERE) so we can dispense with the “social duty” claims. these never held water medically or ethically.

this is about you and making the choice that best ensures your personal safety.

and to do that, you need to know the real vaccine efficacy INCLUDING the “run across the field.”

this has been deliberately swept under the rug and manipulated.

vaccine companies, countries, and health agencies reporting “vaccine efficacy” are using definitions like “14 days after the second dose” for vaccinated. and they are calling all people who have had at least one dose but not reached the 14 day post d2 mark (sometimes 7 days) as “unvaccinated.” and this turns out to be a truly nasty sleight of hand that seriously affects the data.

the vaccine companies palmed a bad card, took it out of their hand, and put it in yours.

and they absolutely knew this. these definitions were not picked out of a hat or based on some other convention. they were tailor made by big pharma (who know a thing or twelve about manipulating results and trial design/definitions) to make the vaccines look more effective and to hide a glaring fact:

for the 2 weeks after you get your first covid jab, your risk of contracting covid goes up sharply. the VE is strongly negative. this means that there IS a field that you need to run across and that vaccination campaigns can act as pandemic accelerants.

(examples HERE and HERE)

we’ve looked at this VE data before:

in this STUDY the danes found dramatic increases in infection rates post vaccination. “adjusted VE” is the risk adjusted vaccine efficacy. it was -40% for nursing home residents and -104% for health care workers in those homes. it more than doubled their risk. (it’s to be expected that the younger, healthier HCW’s would see more drop vs the NH residents in the event of immuno-suppression as they had more effective immune systems to suppress. we see the same reflected in peak VE of 90% for HCW vs 64% in residents)

note that this is all in the 14 days post dose 1. VE ramped up over time, but those first two weeks were a serious risk accelerant. 40-100% rise in risk is no joke.

[...] does this seems like a fair accounting of risk and efficacy to you?

because to me, it looks like not only hiding the risk needed to get the reward, but actually inflating the reported risk of not pursuing the reward in the first place.

they are not only hiding the heightened risk of covid to the newly vaccinated, but they are taking the bad outcomes from that increased risk and blaming it on lack of vaccination.

you might as well blame drowning on the way to the other end of the pool on “not swimming” because you never got across.

this is not a reasonable definition and if public health agencies wish to be taken seriously, they need to stop trying to pass this off as a valid risk reward analysis. it’s clearly not.

the FDA absolutely should have known better. this trial design and headline reporting should never have been approved.

to really assess VE, you need to look at ALL bad outcomes form the commencement of vaccination and accrued them to the vaccinated. this includes the heightened risk of covid. (read more)

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