Independently-confirmed NZ batch variation
Post #998
Steve Kirsch wrote about the yearly post-jab death rates by age band in New Zealand here. This post independently confirms Steve’s findings. Using guidelines adopted by the CDC, I restricted my analysis to age bands with 16 or more yearly deaths in each of them. I also refrained from forming Z scores unless 100 deaths were in each group:
[click image to enlarge]
NOTE: The age band with the most significant difference in death rates by batch number was the 80-84 age band.
Batch #34 was special. Older people (age 65 to 90) didn’t really die if they got injected with experimental COVID shots from batch #34. But, boy, did they ever die if they got injections from other batches! Every single age band in that range had statistical significance:
Lower bound of high group (orange) is higher than upper bound of the low group (green).
The difference was so large for older age groups that it led to 7 standard errors of difference in death rates — put into yearly deaths per thousand (YDPK).
To put such a vast statistical difference into perspective, the background chance to find that much variation when sampling from a normal distribution of values is less than 1 chance in 75 trillion (cell V18). Finding batch #34 among a population of normally distributed values would be a fool’s errand: under 1 chance in 160 trillion!
Using age-specific mortality, evidence provides “practical proof” of large batch variation in New Zealand. For practical purposes, evidence on this is conclusive.