The Cancer Catastrophe is Here
For the past year and a half, opponents of the mRNA vaccines have effectively stated that they disable the immune system without any mechanism to re-enable it. By the last half of last year, opponents were stating that these vaccines were creating an immunodeficiency syndrome in people and that since the vaccines created it, this immunodeficiency syndrome is acquired. Thus, it’s AIDS. Many people attached a V to the front to indicate it’s vaccine induced AIDS and now call it VAIDS.
Those who believed that VAIDS was going to occur and is occurring now have stated that the symptoms will be identical to the HIV induced AIDS since there is no functional difference between the two. What this means is that in addition to being more susceptible to getting sick with viral and bacterial infections, those with VAIDS will be a lot more vulnerable to cancer. This is in addition to the other heart, blood and ovarian/menstrual problems already known to occur with the mRNA vaccines.
Last month, my best friend’s wife got breast cancer and had to have a double mastectomy. Last week, a person I directly work with said his mom got breast cancer and is having a double mastectomy soon. Knowing two women indirectly who got breast cancer around the same time is not statistically significant. At all. Even though I’m 100% sure both of the women received the vaccine plus a booster.
There have also been a lot of reports on social media from doctors stating the amount of cancer patients has dramatically increased. Still, this is anecdotal, and not worthy of using the term catastrophic. However, I’ve seen two data sets within the past two weeks that indicate the cancer catastrophe is here. The first comes from Dr. Jessica Rose in the form a bar graph showing the amount of cancer reports in VAERS, the Vaccine Adverse Event Reporting System, for last year compared to the prior years.
That’s looking pretty bad. The next one comes from The Ethical Skeptic. TES has been tracking deaths from cancer via the CDC’s National Center for Health Statistics (NCHS) and states that they have risen to a 9 Sigma event.
A 9 Sigma event is so unusual that if cancer deaths stay at this level for a time or even slack off a bit but stay near that level for a time, it wouldn’t be catastrophic. It would be cataclysmic. The question is, of course, is this rise in cancer deaths due to the vaccine? It sure looks that way. There is an argument that people delayed check-ups and/or treatment due to Covid-19, but that can’t be entirely the reason for the dramatic rise.
Regardless, the opponents of the vaccine already consider the case closed that the vaccines induce AIDS from what I can tell. For example, I just saw this meme (it’s not mine):
If VAIDS is true, it doesn’t seem like there will be much compassion from the opponents of the vaccine who have been called crazy conspiracy theorists all along. That’s the state of affairs two weeks prior to the unofficial start of summer.
To help understand how rare a 9 sigma event is, 1 sigma represents 1 standard deviation away from the mean, usually visually represented with a normal distribution. In this normal distribution chart, you can see where 6 sigma lies.
That’s why that set of processes in manufacturing and project management originally developed by Motorola is named Six Sigma or Lean Six Sigma – Six Sigma supposedly returns a product free of defects 99.99966% of the time. Extrapolate out on the chart to 9 sigma and you can begin to understand how rare that is. Someone in the comments to that tweet said that a 9 sigma event corresponds to 1 in a quadrillion. I’m not the world’s best at math, so I don’t know if that checks out or not, but I know a little and my gut tells me The Ethical Skeptic, the one who posted the cancer deaths chart, knows what they are talking about. It’s important to note that the 9 sigma event on that chart from The Ethical Skeptic is just a point in time with the data available. That number will go back down, but it’s still quite extraordinary. Finally, this article probably explains it better than I can:
