Primary Series, 2nd Booster linked to Death

Post #994

In this report, an eerie “excess death echo” of the waves of weekly COVID shot uptake in the USA was found to occur several weeks after the fact. In other words, taking the shot today meant an increase in the probability of a death 7-20 weeks later (depending on whether the shot was the primary series, 1st booster, 2nd booster, or 3rd booster).

When two things are not associated with one another, and you plot their values on a scatterplot, it looks like this:

When two things are not related, then knowing the value of one of them does not help you predict the value of the other one. While there is a slight upward slope (0.0063; at top right) of the best-fit line through the data, it is not signficantly different from 0. When two things are correlated though, the slope is significantly different from 0.

Take, for instance, the echo of excess deaths which had occurred about 20 weeks after people took the primary series COVID shots:

The weekly COVID shot up take is at left in blue, and the echoed pattern of that COVID shot uptake shows up as weekly excess deaths, after approximately a 20-week delay. When you normalize the values, you put them in terms relative to the mean of the values. After normalizing weekly shots and weekly excess deaths, here is the plot:

The slope is 0.7571 (top right) and it is significantly different from zero (p-value = 0.003). This means that if COVID shots were not linked to later excess deaths, then something as lined up as what we have would only ever be seen 3 times in a thousand samples. In other words, a statistical conclusion is that the primary series led to death.

But the evidence is even stronger for the 2nd round of boosters leading to later excess death. Here is the time-series on the weekly COVID shot uptake (blue) and weekly excess deaths (red):

Again, after normalizing these weekly values, and then plotting them, we find statistical signficance again, but this time, it is stronger:

When two things are not actually related to one another, then you will hardly ever find samples which line up at least as well as the 2nd round of these COVID shot boosters and those excess deaths that followed them did. You wouldn’t randomly witness samples like this any more than 3 times in a million samples (p-value = 0.000003).

This is very strong statistical evidence that this booster shot led to excess deaths. In the face of very strong statistical evidence, you would hope that officials take note. If something occurs which was not supposed to occur any more than 3 times in a million, then it should give you pause.

It would be more likely that someone in a group of four randomly-chosen people is struck by lightning over the next 12 months, than it would be for this booster shot to not be associated with excess deaths.