A cool new way to get an estimate of the death toll using disability data

In his article, do vaccine rollouts correlate to disabled americans?, our favorite cat points out that it’s highly likely the vaccines have added 1.8M to the disabled rolls. I agree. No other explanation. Bad cats are rarely wrong.

I was thinking that if you knew the ratio of death to disability in a COVID vaccine real-world study somewhere, then you’d have (yet another) independent way to get to 500,000 estimated deaths caused by the COVID vaccines.

Does anyone know of such a study? It would basically find that around 4 times more people were disabled than died. This sounds like a reasonable ratio to me, but I need evidence.

In the meantime, here are two ways we can proceed in the meantime.

The Gab poll

Since the CDC isn’t tracking the vaccine injured (since they haven’t been able to validate cause and effect despite obvious, in your face, evidence and the NIH’s Dr. Nath does not want to see the thousands of reports I have assembled), we can do a poll of people we know. My favorite platform for polling is Gab because you get more options and more characters in each option. And, they don’t censor your posts unlike the bird.

This says that death is observed twice as often as disability.

So the math is trivial: 1.8M disabled * 2 dead/disabled = 3.6M people killed by the jab.

We’ll call that our “high estimate.”

That’s impossibly high, so it’s not credible at all. I don’t believe it. It doesn’t match other data. There must be a bias in the survey in that people who have vaccine injuries will often hide or not mention it whereas people who are dead can’t hide it. For example, my carpet cleaner was injured and he never offered that information until I asked.

So if 90% of the vaccine injured are hiding it (a number I’ve heard from the vaccine injured themselves), we can scale down our death estimate to 360,000 dead, which is a much more defensible number.

Using VAERS ratios

The number of US disabilities and deaths reported to VAERS are 14,181 and 13,150 respectively:

Since we have 1.8M disabled/14,181 vaers reported disabled = 127 under-reporting factor (URF).

But the URF is 41 for the most serious symptoms so a URF of 128 for less serious symptoms is pretty reasonable.

So lets calculate the death/disabled ratio from the VAERS data instead of our Gab poll. We just take the estimated full number of deaths divided by the estimated full number of disabilities:

(13,150 * 41) / (14,181 * 128) = .3

In other words, if we know the correct number of disabled people, the VAERS ratios suggest we can multiply that number by .3 to estimate the number of deaths.

So if there are 1M verified disabled people, we can expect there to be around 300,000 people killed by the vaccine. Intuitively, that seems pretty reasonable to me for this vaccine since it is so dangerous. It’s hard to compare this with anything else; we’ve never had a vaccine this deadly.

When we do the math: .3*1.8M = 540,000 people killed.

Of course, that is hardly a surprise since when you write out the equation, it is simply equivalent to (13,150 * 41) so the disabilities part completely canceled out and it’s our original (reported deaths) * (under-reporting factor for very serious events) formula.

Keep in mind that this is only a ballpark estimate of deaths.

But the .3 is a useful factor because it gives a quick ballpark way to estimate deaths from this vaccine if you know the true number of disabilities.

For example, based on Facebook group sizes alone of the vaccine injured alone, we can make a 1M ballpark estimate of the permanently disabled. So 300,000 deaths if we use that estimate.

Even if there is only one death per 100 disabled, the numbers are still off the charts

But even if I’m wrong and the vaccine only kills 1 person for every 100 people that are disabled, it’s still a huge STOPPING signal: 18,000 people killed. A vaccine should be stopped for sure if there is 1 death per million vaccinated per Paul Offit.

A minimum of 18,000 people died. Nobody cares. That’s nearly 100x higher than our stopping condition.

These are estimates only

Just because you are disability, it doesn’t mean you are permanently disabled. So bear in mind, the calculations here are only ROUGH estimates, nothing more.

The point is the rough estimates are still very troubling, even if we off by a factor of 10 or even 100.

Where are vaccine dead bodies in the mortality stats?

The bodies are hidden in several places:

  1. in the increase in all-cause mortality for normal causes of death, in some cases, such as cancer, distorting the number dead
  2. in the number of additional COVID deaths: the vaccines have made people more susceptible to COVID infection and death by depressing their immune system. They also have arguably increased the number of variants.
  3. Through miscategorization of vaccines deaths as COVID-19 deaths

How do we know we got it right?

All of this makes the signal very hard to find due to the confounders. So how do we know we are right?

Andrew Wakefield, Bobby Kennedy, me, and many more were all “red-pilled” by vaccine victims or by family members of vaccine victims. Then we look at the data like VAERS and we say, “if the vaccines are safe, this data is IMPOSSIBLE.”

And when none of the authorities will TALK, even for $1M dollars, and when the fact checkers who attack us run the other way when we challenge them back, we have our confirmation that they cannot explain it either.

Summary

Consider that we:

  1. stop baby formula and shut down the plant if one infant has died and 3 are hospitalized.
  2. recall peanut butter if 10 people become sick even when nobody died.
  3. bring national attention and focus on the death of 19 children and 2 teachers

But when an estimated 500,000 people are killed by an unsafe vaccine, we try to mandate it everywhere and FDA’s Dr. Peter Marks will do anything to try to get you to take the jab… Well, anything except debate us on the facts.

I never heard back from Dr. Marks on my offer. Can you believe that?!?! I can’t even get a YES or NO answer!