Survey shows over 500,000 killed by the COVID vaccines so far

A simple survey anyone can do provides convincing evidence that the COVID vaccines have killed over 500,000 Americans. They should be halted. Now.

Executive summary

A simple survey of my readers provided some extremely compelling evidence that 1) the US government has killed over 500,000 previously healthy Americans and 2) that the vaccine actually caused the deaths.

It took me around 30 minutes to create the survey and 11 hours to wait for highly statistically significant results.

I was able to accomplish something in less than 12 hours that the CDC has been unable to accomplish in 18 months: prove causality. We see both dose dependency and enormous changes in ACM deaths pre- vs. post-vaccine. We satisfy all five Bradford-Hill criteria applicable to vaccines.

We used 400 independent observers. I should note that all follow my Substack so they are correlated: all have excellent judgment, high intelligence, and immunity from mass formation effects. So they have the ability to see what is truly going on.

The survey compared the all-cause mortality (ACM) death rates just PRIOR to a vaccine dose to the ACM death rates immediately AFTER the dose. I predicted they would be dramatically higher after the dose and the effect would be dose dependent. It appears I was right. In fact, the survey projects far more deaths than I thought possible.

The number of deaths computed from the reports could be as high as 2M Americans, but the 500,000 number seems more credible, so I’m discounting the result by 4X to account for biases and confounders.

I don’t think there is any way anyone is going to be able to “explain away” these results once we redo the survey with a better set of controls (the next step).

And these results are ONLY counting the all-cause mortality increase for just the one month after each shot. We know you can die a year later from these vaccines.

We found Dose #4 caused only a 1.27X increase compared with 5.5X to 8.3X for doses 1 and 2 respectively and 2.3X for Dose #3. If this were a highly biased population, Dose 4 would have caused a larger discrepancy, but it’s approaching 1:1 as we’d expect.

The decreasing ACM increase with later shots makes sense… The vaccine eliminates anyone whose immune system is susceptible to auto-immune attacks on the spike protein. If it hasn’t killed you after 3 shots, it’s less likely to kill you on shot #4. You’re immune due to both survivor bias and the fact that your immune system has recognized the vaccine as an invader and clears it from the system quicker than on shots 1 and 2. This of course says nothing about it’s impact on effectiveness against the virus which is likely pretty minimal at this point which is a story for another day.

The higher ACM differential on Dose 2 was interesting. This may be somewhat of a poison accumulation effect. You’re basically doubling the dose over a 4 week period rather than giving your body time to recover.

Note that this factor is simply the difference between the ACM before the shot vs. after the shot. We have no idea whether the ACM goes back to baseline between shots or not. It likely does drop. We don’t know how fast. Hence, the progressively decreasing impact on ACM increases due to the jab. It could very well be that your ACM is 1.1X your baseline months or years after the shots.

When you do the math, based on these numbers, well over 500,000 people have been killed by the vaccines so far.

If the survey were more precise, I’d expect lower ACM increases, but still a final death toll north of 500,000.

The 500K excess death estimate is supported by the actual US mortality numbers as being plausible (which have a total excess death count of roughly 1M deaths since Jan 2021).

My colleagues are looking at this data and mulling over it.

We have identified a very large signal that I don’t think will go away when we redo the survey. We will need to think carefully about the next iteration of the survey and have the protocol peer reviewed to eliminate biases before we launch it. Now we know this will be time well spent.

So don’t break out the champagne just yet. But I think you’ll want to get it ready. We are getting very close. (read more)