One confounding variable is there are probably lifestyle differences between vaccinated and unvaccinated people. We know from the exemptions that healthcare workers are more likely to be exempt than the general population, and they generally have healthier lifestyles, so the baseline P(death) should be different in the different buckets.
Steve, In your synthetic model, it would be good to account for seasonality in death rate/month (winter effect).
If you wanted event more sophistication you could model synthetic p(D) based on age band and month of year from historical averages - it all on https://infoshare.stats.govt.nz/
Using NZ data 2010-2019 we get this distribution by month:
I do not have any erudite comments or further enlightenment to add. I would, however, like to thank Steve Kirsch for all the great work he does, which I can then read and understand. Those of us who are math-challenged appreciate all such folks. What I know is that I made a choice based on (non-math) logic, and I see the fruits of my choice. Meanwhile, I am trying to understand what is happening around me, and this really does help so much.
Assuming the death rate from the vaccinated cohort for the synthetic baseline is questionable though.
The actual death rate of unvaccinated can put the blue hump under or over the red line, depending on whether the vaxx is net beneficial (not in my opinion) or the opposite. It's "catch 22". We need the actual death rate for unvaccinated.
In any case, I am not sure how we go from the blue hump to Steve's "killed 1 in every 1000"
Going by "Cumulative analysis of post-authorization adverse event reports of the Pfizer-BioNTech COVID-19 vaccine (BNT162b2) received through 28-Feb-2021", while taking into account the underreporting rate (98%) and generously assuming that all 40M doses distributed by the time were administered, yields a very conservatives ~ 0.1% (1 in every 1000) fatality rate caused by Pfizer, according to Pfizer itself.
Given what I know about immunology, and I am not an expert, I predicted in early 2021 that we'd see spikes in illness and deaths following a post-jab pattern. These won't necessarily the be same types of illnesses and deaths, but the time frames are predictable:
- first 2 days
- at 2 weeks
- at 2 months
- at 6-8 months
- at 2 years
- at 5 years
- at 7-10 years.
The reason is both simple and complex. Chronic poisoning is going to damage bodies in all sorts of different ways with different organs and systems succumbing based on how the poison becomes entrenched in that person and the individual tolerance of the person.
Apparently, for every Experimental injection you accept, your natural immune system is depleted by around 3%. So keep taking the jab and the depopulation program will be a huge success!
The clue is in the fact that Covid 'vax' makers accept NO LIABILITY for any injuries or DEATHS caused by their 'Experimental' (supposedly "Safe and EFFECTIVE") injections.
Join the dots and STOP being a mug. You'll live longer!
Mick from Hooe (Unjabbed and ready to fight dirty!
An Op-ed has been posted on Trial Site News titled "Eye Disorders Post-COVID-19 Vaccinations" (https://www.trialsitenews.com/a/eye-disorders-post-covid-19-vaccinations-2acda7d0). It documents the wider scope of eye disorder symptoms that appeared in VAERS (Vaccine Adverse Events Reporting System) following COVID-19 vaccinations, and addresses post-Influenza vaccination eye disorders as well. These types of disorders do not receive the attention that the more well-known cardiac disorders and cancers do, but they are quite prevalent, as the results show.
It reads like a guest post and in the first paragragh it uses "Steve" in the third person. Also, it doesn't sound like Steve's 'voice'. Am I missing something?
The death effect is notable yet seems smaller than I expected, at least so far. I don’t mean to sound insensitive but all of this expense and destruction of trust for this? Are the 40 mechanisms of death that Dr. Tenpenny describes slowly advancing upon humanity, are the track and trace Bluetooth effects long lasting and continuous amongst the jabbed, is a future 5G pulse enough to make Deagel’s estimates come to fruition?
Steve, is there valid study done on health risks from receiving blood transfusions of mRNA vaccinated donors?
In the light of rising mortality rates among the vaccinated populations...
One confounding variable is there are probably lifestyle differences between vaccinated and unvaccinated people. We know from the exemptions that healthcare workers are more likely to be exempt than the general population, and they generally have healthier lifestyles, so the baseline P(death) should be different in the different buckets.
Steve, In your synthetic model, it would be good to account for seasonality in death rate/month (winter effect).
If you wanted event more sophistication you could model synthetic p(D) based on age band and month of year from historical averages - it all on https://infoshare.stats.govt.nz/
Using NZ data 2010-2019 we get this distribution by month:
Month 1 2 3 4 5 6 7 8 9 10 11 12
avg deaths 2546.7 2233.5 2432.4 2411.4 2705.1 2649 2941.2 3019.5 2815.2 2715.3 2583.3 2403.6
ratio 8.10% 7.10% 7.73% 7.67% 8.60% 8.42% 9.35% 9.60% 8.95% 8.63% 8.21% 7.64%
diff 0.24% 1.23% 0.60% 0.67% -0.27% -0.09% -1.02% -1.27% -0.62% -0.30% 0.12% 0.69%
I do not have any erudite comments or further enlightenment to add. I would, however, like to thank Steve Kirsch for all the great work he does, which I can then read and understand. Those of us who are math-challenged appreciate all such folks. What I know is that I made a choice based on (non-math) logic, and I see the fruits of my choice. Meanwhile, I am trying to understand what is happening around me, and this really does help so much.
If you're jabbed you are going to believe the jabs are good.
It really is that simple...
Mike Deskevich's logic checks out IMHO.
Assuming the death rate from the vaccinated cohort for the synthetic baseline is questionable though.
The actual death rate of unvaccinated can put the blue hump under or over the red line, depending on whether the vaxx is net beneficial (not in my opinion) or the opposite. It's "catch 22". We need the actual death rate for unvaccinated.
In any case, I am not sure how we go from the blue hump to Steve's "killed 1 in every 1000"
Going by "Cumulative analysis of post-authorization adverse event reports of the Pfizer-BioNTech COVID-19 vaccine (BNT162b2) received through 28-Feb-2021", while taking into account the underreporting rate (98%) and generously assuming that all 40M doses distributed by the time were administered, yields a very conservatives ~ 0.1% (1 in every 1000) fatality rate caused by Pfizer, according to Pfizer itself.
https://childrenshealthdefense.org/wp-content/uploads/pfizer-doc-5.3.6-postmarketing-experience.pdf
Why do we even need this NZ analyses?
Steve, Sean Plunket just called you a "liar" on his show that interviewed an expert to 'fact check' the NZ data claims:
https://theplatform.kiwi/podcasts/episode/a-real-expert-explains-why-liz-gunns-moar-is-complete-crock
Given what I know about immunology, and I am not an expert, I predicted in early 2021 that we'd see spikes in illness and deaths following a post-jab pattern. These won't necessarily the be same types of illnesses and deaths, but the time frames are predictable:
- first 2 days
- at 2 weeks
- at 2 months
- at 6-8 months
- at 2 years
- at 5 years
- at 7-10 years.
The reason is both simple and complex. Chronic poisoning is going to damage bodies in all sorts of different ways with different organs and systems succumbing based on how the poison becomes entrenched in that person and the individual tolerance of the person.
In other words, hold onto your hats, folks.
Apparently, for every Experimental injection you accept, your natural immune system is depleted by around 3%. So keep taking the jab and the depopulation program will be a huge success!
The clue is in the fact that Covid 'vax' makers accept NO LIABILITY for any injuries or DEATHS caused by their 'Experimental' (supposedly "Safe and EFFECTIVE") injections.
Join the dots and STOP being a mug. You'll live longer!
Mick from Hooe (Unjabbed and ready to fight dirty!
“death count gets to 0 at the end.” We’ll call this the opt-out effect. Brought to you by anti vaxxers or former vaxxers (aka anti boosters).
An Op-ed has been posted on Trial Site News titled "Eye Disorders Post-COVID-19 Vaccinations" (https://www.trialsitenews.com/a/eye-disorders-post-covid-19-vaccinations-2acda7d0). It documents the wider scope of eye disorder symptoms that appeared in VAERS (Vaccine Adverse Events Reporting System) following COVID-19 vaccinations, and addresses post-Influenza vaccination eye disorders as well. These types of disorders do not receive the attention that the more well-known cardiac disorders and cancers do, but they are quite prevalent, as the results show.
Who wrote this article? There's no byline.
It reads like a guest post and in the first paragragh it uses "Steve" in the third person. Also, it doesn't sound like Steve's 'voice'. Am I missing something?
There's no mystery about deaths in NZ in 2022. There are none left to be explained by 'the vaccine'. https://i.stuff.co.nz/national/the-whole-truth/132369176/fact-checking-claims-about-new-zealands-2022-death-rate
That opening statement is not factual. I personally knew three people who became deathly ill immediately follow
Excellent writeup and compilation!
The death effect is notable yet seems smaller than I expected, at least so far. I don’t mean to sound insensitive but all of this expense and destruction of trust for this? Are the 40 mechanisms of death that Dr. Tenpenny describes slowly advancing upon humanity, are the track and trace Bluetooth effects long lasting and continuous amongst the jabbed, is a future 5G pulse enough to make Deagel’s estimates come to fruition?