I reedited this indispensable story for Cassandra's Memo. Spend ten minutes and review it here.
HERE is the full episode. 

It was a situation for despair, but there was no alternative but to keep one’s nerve.—Colonel Heinz-Gunther Guderian, a Panzer commander facing the Allied invaders on D-day

If you play Russian Roulette by spinning a six-shot revolver's cylinder using one bullet, your chance of dying is one in six. If you play Covid vax roulette, your chance of dying or being mortally wounded is about one in 200. The following is how to calculate your odds.

This is derived from Craig Paardekooper's Covid vaccine VAERS database analysis. HERE is the video showing his graphs and explanations.

SUBSTACK LINK

VAERS, the Vaccine Adverse Event Reporting System, is the US government database that records the vaccine adverse events (AEs) reported by doctors and others. It is an incomplete but immense sample that lists the batches or “lots” for each company in the order they appeared. It also shows AEs by lot number and date of occurrence. The data is primarily from the USA.

"Hot lot" is a research phrase that the vax makers wish you would never hear. The original meaning was a defective product, such as baby spinach recalled for salmonella contamination. To understand what is happening with the Covid vaccine, imagine the food companies trying different doses of salmonella to determine how much damage they would cause. Paardekooper’s analysis is robust evidence that the Pharma companies did precisely that. They used us like lab rates to test their poisons. 

He analyzed the Covid jab harms recorded by VAERS and created the charts below, and I copied them from his video. This provides overwhelming evidence that the three manufacturers coordinated dose-response experiments to measure the toxicity and deaths from the different batches of their drugs. Controls without the poisons were likely used as well.

The odds of the results described below happening by chance alone seem nonexistent, but do not take my word for it. Look at the following summary, the references, and the videos.

The entire study is shown in the first slide below. The horizontal axis is time. Each blue dot is a manufacturing batch or lot that includes thousands of bottles with the same serial number. The higher on the vertical axis a blue dot appears the more deaths and other AEs were reported for the lot. The experiment was run over most of 2021.

Support the show