About 50% of Variations in the Death Rate accounted for by Variations in the Injection Rate in Germany

Fourth Country -- About the same result

I performed the same analysis described in my Previous Post for Germany, and see similar results as shown in Figure 1:

• About half (50%) of the Variations in the Mortality Rate in Germany can be attributed to Variations in the Injection Rate for the 12 month period from October 2021 through October 2022.

• The correlation is maximized when the Mortality Rate Data are delayed by about 2 to 5 weeks with respect to the Injection Rate Data.

  

Fig. 1. The “signed” R-Square Value ([Absolute value of Correlation]*[Correlation]) for Mortality and Injection Rates in Germany as a function of the delay in the Mortality Rate with respect to the Injection Rate. Up to 50% of the variations in the German Mortality Rate is due to variations in the Injection Rate. See my previous Post for more explanation of the analysis technique.

Discussion:

In my years of experience in process control with a complicated process with 100’s of independent variables, it was rare to ever find an R-Squared value of even 5%. I consequently believe this is a significant result, especially after having seen similar results in 3 other countries.

In plain English, if you get an injection, your probability of dying is greatly increased over the next couple months, and I’d conjecture, over longer time periods as well.

This analysis could be refined, for example, by looking at injections from different manufacturers separately.