My intuition tells me that the URF may be somewhat less for death. The Columbia U paper (Oct ‘21) estimated URF~20.
Ed Dowd reported that about 61000 mandated employees with group life policies died in 2021. It seems like good data because real $$ was paid out requiring a body and death certificate. It suggests a population of 61M manda…
My intuition tells me that the URF may be somewhat less for death. The Columbia U paper (Oct ‘21) estimated URF~20.
Ed Dowd reported that about 61000 mandated employees with group life policies died in 2021. It seems like good data because real $$ was paid out requiring a body and death certificate. It suggests a population of 61M mandated employees covered by group life.
I can’t know just what data are recorded for this population as they so compliantly contribute to excess mortality, to Klaus Schwab’s delight, no doubt.
I’m proposing a mighty big IF. WHAT IF the time T from the last shot to passing could be plotted against waning population for those who have died and tracked as more out of these 60M mandated employees die going forward. The quantity log T versus Z (inverse normal distribution of rank/(N+0.5) ) might indicate one or more trend lines of population depletion versus time.
It might tell us if Rochelle is likely to vote in 2024. It might tell us if groups stratified by age and number of boosters are on track to perish by immune escape over the next decade.
This would be easy with all required data recorded, unlikely though that may be, I can appreciate. The Columbia study seemed to have these data (weeks post vacs).
Just a thought. This is one way device lifetime is modeled, often works great. After all, our human population has been reduced to a bunch of gadgets with “failure modes.” The shots by all accounts induce a few prominent “failure modes” with likely distinct MTTF (mean time to failure).
It is also affected by childhood vaccine history, with ages 35 to 44 spiking excess mortality in Q3 ‘21 by 100%. Age 35 happened to be birth year 1986. This group would have been hammered by the exponential vaccine frenzy both from birth as well lots of “catch up” shots for older kids’ school attendance.
So I surmise sensitivity to death by COVID shots is influenced by prior vaccine damage, even remaining subclinical until the COVID shot coup-de-gras.
The MTTF projections would be valuable if such plots yielded meaningful regressions.
Yes, the 1986 VACCINE INJURY COMPENSATION ACT that shielded manufacturers from liability and made tax payers pay compensation. Lots more info on Children’s Health Defense. A horror story. Fauci stood next to Reagan as he signed it ... Reagan expected it to be revised by Congress to conform to Constitutionality ... but never was. Needs to be repealed NOW along with PREP and Patriot! Fauci needs to be composted.
My intuition tells me that the URF may be somewhat less for death. The Columbia U paper (Oct ‘21) estimated URF~20.
Ed Dowd reported that about 61000 mandated employees with group life policies died in 2021. It seems like good data because real $$ was paid out requiring a body and death certificate. It suggests a population of 61M mandated employees covered by group life.
I can’t know just what data are recorded for this population as they so compliantly contribute to excess mortality, to Klaus Schwab’s delight, no doubt.
I’m proposing a mighty big IF. WHAT IF the time T from the last shot to passing could be plotted against waning population for those who have died and tracked as more out of these 60M mandated employees die going forward. The quantity log T versus Z (inverse normal distribution of rank/(N+0.5) ) might indicate one or more trend lines of population depletion versus time.
It might tell us if Rochelle is likely to vote in 2024. It might tell us if groups stratified by age and number of boosters are on track to perish by immune escape over the next decade.
This would be easy with all required data recorded, unlikely though that may be, I can appreciate. The Columbia study seemed to have these data (weeks post vacs).
Just a thought. This is one way device lifetime is modeled, often works great. After all, our human population has been reduced to a bunch of gadgets with “failure modes.” The shots by all accounts induce a few prominent “failure modes” with likely distinct MTTF (mean time to failure).
It is also affected by childhood vaccine history, with ages 35 to 44 spiking excess mortality in Q3 ‘21 by 100%. Age 35 happened to be birth year 1986. This group would have been hammered by the exponential vaccine frenzy both from birth as well lots of “catch up” shots for older kids’ school attendance.
So I surmise sensitivity to death by COVID shots is influenced by prior vaccine damage, even remaining subclinical until the COVID shot coup-de-gras.
The MTTF projections would be valuable if such plots yielded meaningful regressions.
1986 being the year vaccine makers became immune from liability?
Yes, the 1986 VACCINE INJURY COMPENSATION ACT that shielded manufacturers from liability and made tax payers pay compensation. Lots more info on Children’s Health Defense. A horror story. Fauci stood next to Reagan as he signed it ... Reagan expected it to be revised by Congress to conform to Constitutionality ... but never was. Needs to be repealed NOW along with PREP and Patriot! Fauci needs to be composted.
This approach to Vax damage projection is excellent and required to increase the red pill factor in 2023.
And to help these people get on a much needed therapeutic regimen to save and extend their life spans.
Do tell what that therapeutic regimen should be!