reSee.it Video Transcript AI Summary
They analyzed the top 10 batches with high death counts and high mortality rates, placing them on a chart that shows a batch ID, the number vaccinated within that batch, and who was dead. All of the top 10 batches are Pfizer.
Examples:
- Batch number one: 711 vaccinated, 152 died, a 21% mortality rate.
- Batch number eight: 221 vaccinated, 38 dead, a 17% mortality rate.
- Batch number three: 48 dead out of 310 vaccinated, a 15% mortality rate.
- Batch number seventy-one: 11,000 vaccinated, 498 dead, a 4% mortality rate.
They note that the normal mortality rate is 0.75%. The batches are across all age groups and all vaccination centers; it is not one particular batch for one particular age group, but averages across all ages.
The speakers then discuss the meaning of the statistic shown on screen that “the chances of these batches not being a killer are one hundred billion to one.” The statistician explains that, given the underlying mortality rate and the ratio percentage, the top one is almost impossible to occur by chance, so there is no chance that this vaccine is not a killer.
They quantify the scale: you’d have to jab 100,000,000 people to get these statistics. They say there are 2,200,000 kiwis in the system, and we would have had to jab 100,000,000,000 of them to produce results like these.