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Fredyatelmstreet13

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8

The Mortality Bomb

  - 13:18

Sourced of - Craig-Paardekooper - https://www.bitchute.com/video/1MoeYFS4OSoA/ The vaccines have a delayed effect. Analysis by state shows massive increase in mortality in 7 states in the third quarter of 2021 (Q3). I demonstrate that this is due to the vaccines deployed in Q1 and Q2. So the vaccines act like a bomb with a 100 day fuse. Pharma tested this delayed effect in 7 states only - all in the south east of the USA, and they tested it on working age adults - not on the aged. See https://howbad.info/secondpeak.html


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Uploaded 2 months ago  

April 28th 2022  

File Size: 16 MB

Category: Health And Wellness







3 Comments

MichaelAttoe

- 2 months ago  

I took a second look, and I actually got it backwards, as the graph is actually showing what he says.

Fredyatelmstreet13

- 2 months ago  

Hi MichaelAttoe , lol so we both fell for the same thing . I re watched it before i found it . On the long haul the IFN down regulation is the problem ( IMO ) Not a direct hit but i think you are one of the rare ones here that will understand : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411443/ and this https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509845/ stay safe Fredy

MichaelAttoe

- 2 months ago  

I believe he has this backwards. Filtering out data means you're not showing that data. Therefore, if he is filtering out deaths that occurred more than 100 days after vaccination (this is what he keeps saying despite the fact that the legend under the graph has it is less than 100 days) then it means the number of deaths in the third quarter are the ones that received a vaccination less than 100 days before the death. This means that the peak in the third quarter is actually from those who received a vaccine in the second quarter, meaning that those deaths are actually from the initial shot or perhaps a booster, which were being introduced at that time and aren't accounted for in his analysis. If the legend on the graph is actually correct and showing less than 100 days, then his analysis is correct.