They had no Covid in the community and minimal vaccination until around June, when the rollout picked up speed. Record spikes in Covid infection rates have followed in July and August.
Skilled contact tracers, previously with a perfect record of being able to identify and stop trains of transmission, are suddenly unable to identify the source of infection for the majority of cases. It implies they are overlooking something fundamental.
"Since the vaccination programs targeted those at highest risk of COVID first (and VAERS and similar databases show similar age demographic skews in mortality reports), it makes sense that we would see a substantial and measurable proportion of vaccine-induced deaths early on during vaccination programs."
Were you able to analyze any of the data broken down by age group? So for example it would be very interesting to see a chart showing both the deaths among the elderly age bracket and doses given to that same age bracket, for each time period (say, month). If the vaccines were causing excess deaths then a chart like that would make that much clearer.
1. I am concerned only 'near' time of inoculation deaths are available for analysis. Given the cytotoxic spike protein and possible other components (eg NLPs) these
'near' time events may prove only a partial VFR. Identifying this broader cohort may take years to get a handle on.
2. Might it be possible to enumerate vaccine deaths from second shots and future 'booster' shots using dates?
CDC's ineptitude regarding data collection leans on being criminal.
Awesome work. Amazing the amount of work required to get an actionable dataset. Basically, you had to build a better database then existed. Thank you!! Great effort
"For example: 933739 - a lady with CP who coded in the ambulance hours after receiving the COVID-19 vaccine. She was tested for COVID-19 at hospital after having been resuscitated and was negative, yet COVID-19 is written as her primary symptom at death not an hour or two later"
As far as I can tell this is false. At least this claim isn't reflected in the VEARS data as of today (2021-08-21).
Yes I believe that most peoples' perception of the excess deaths due to these vaxxines is obscured by their naturally low level of experience with regular causes of death. For people that only encounter death among friends and family relatively rarely (the norm) it isn't apparent when an increase occurs even when this may be statistically significant.
There is an undeniable increase in excess mortality which can't be hidden but will be explained away by other causes. One device is to count deaths within 21 days post jab as unvaccinated deaths often from covid-19. Nice trick if you can get away with it, and they did.
Yet the scale of non-fatal adverse health effects from these vaxxines is far greater but much easier to disguise as being due too other factors. Lockdowns are now the scapegoat for sudden adult death syndrome.
Yes I believe that most peoples' perception of the excess deaths due to these vaxxines is obscured by their naturally low level of experience with regular causes of death. For people that only encounter death among friends and family relatively rarely (the norm) it isn't apparent when an increase occurs even when this may be statistically significant.
There is an undeniable increase in excess mortality which can't be hidden but will be explained away by other causes. One device is to count deaths within 21 days post jab as unvaccinated deaths often from covid-19. Nice trick if you can get away with it, and they did.
Yet the scale of non-fatal adverse health effects from these vaxxines is far greater but much easier to disguise as being due too other factors. Lockdowns are now the scapegoat for sudden adult death syndrome.
I came across a video by Stew Peters interviewing someone in which the claim is made that only 5% of vaccine lots are tied to 100% of VAERS reports. If true. that has far-reaching implications. We would expect a roughly even spread across vaccine lots, so are 5% of the vaccines different in some way?
I also came across data (lost the original tweet but saved the pic) showing that since the vaccine rollouts there have been 10x more GOP voting district 'CovID' deaths then Dems'. If both the above are true, the implications are horrific: those 5% vaccine lots are being steered toward GOP districts.
There was also a Slovenian nurse who claimed that the bottles were numbered 01, 02 or 03, and that 01 contains saline, 02 mRNA, and 03 mRNA for the spike + an oncogene. Wild and fantastic as this claim is, I have seen reports by different people of a surge in cancer amongst vaccinated people, especially those who were in remission.
So, if you look at TOTAL U.S. mortality on this graph here (https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm) and compare it to the weekly rate of vaccinations, in this chart here (https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html) what you see is that total mortality in the U.S. plummeted at precisely the same time as the vaccination campaign peaked. So, the number of weekly vaccines peaks about early April (with over 4 million doses delivered in a single day) with total mortality in the U.S. dropping like a stone from late January, and reaching a low (before the next wave of Covd) in early May. If there were tens of thousands of deaths from the vaccines, you would expect to see the exact opposite. How do you explain this?
"Now, do I believe that the vaccine kill 1 out of every thousand recipients? No. I suspect that this is a ceiling for the actual impact. It makes sense that the first 30 days of mass vaccination skewed toward high risk groups."
to clarify: is it the case that you do believe ~1 in every 1000 doses in Europe so far has resulted in a death (but that the rate will likely drop as time goes on) as indicated in the first paragraph?
I looked at cases/deaths in the most highly vaxxed countries (at the time) and saw a spike after vax rollout date in the larger populated countries (excludes China as they didn't use our vax and also countries not listed on World o meter) https://joannaf2.substack.com/p/do-covid-vaccines-work?justPublished=true
Australia makes for an interesting study - look at the charts here (click 'Tap to know more' for Australia): https://graphics.reuters.com/world-coronavirus-tracker-and-maps/vaccination-rollout-and-access/
They had no Covid in the community and minimal vaccination until around June, when the rollout picked up speed. Record spikes in Covid infection rates have followed in July and August.
Skilled contact tracers, previously with a perfect record of being able to identify and stop trains of transmission, are suddenly unable to identify the source of infection for the majority of cases. It implies they are overlooking something fundamental.
Regarding what you wrote here:
"Since the vaccination programs targeted those at highest risk of COVID first (and VAERS and similar databases show similar age demographic skews in mortality reports), it makes sense that we would see a substantial and measurable proportion of vaccine-induced deaths early on during vaccination programs."
Were you able to analyze any of the data broken down by age group? So for example it would be very interesting to see a chart showing both the deaths among the elderly age bracket and doses given to that same age bracket, for each time period (say, month). If the vaccines were causing excess deaths then a chart like that would make that much clearer.
Take a look at Austin's analysis of excess deaths as well. https://austingwalters.com/changes-in-the-cdc-counts-of-deaths-by-state-and-select-causes/
This paper uses a completely different method to come to a similar conclusion https://www.researchgate.net/publication/355581860_COVID_vaccination_and_age-stratified_all-cause_mortality_risk VFR ~ .004%(young children) to .055% (elderly)
1. I am concerned only 'near' time of inoculation deaths are available for analysis. Given the cytotoxic spike protein and possible other components (eg NLPs) these
'near' time events may prove only a partial VFR. Identifying this broader cohort may take years to get a handle on.
2. Might it be possible to enumerate vaccine deaths from second shots and future 'booster' shots using dates?
CDC's ineptitude regarding data collection leans on being criminal.
Awesome work. Amazing the amount of work required to get an actionable dataset. Basically, you had to build a better database then existed. Thank you!! Great effort
nit-pick : "poured through the data" should be "pored through the data"
"For example: 933739 - a lady with CP who coded in the ambulance hours after receiving the COVID-19 vaccine. She was tested for COVID-19 at hospital after having been resuscitated and was negative, yet COVID-19 is written as her primary symptom at death not an hour or two later"
As far as I can tell this is false. At least this claim isn't reflected in the VEARS data as of today (2021-08-21).
To check:
1. Download the 2021 "CSV File (VAERS Symptoms)" dataset here: https://vaers.hhs.gov/data/datasets.html?fbclid=IwAR3GZ2Ei3HhvoAKAXPwF2nrNu8PxlbYqpiBZJ4aTV1Y79f5FB2ktGNGeNu4
2. find the row with VAERS_ID 933739
None of the columns mention COVID-19 (some other records in this dataset do)
Screenshot of the row in question:
https://i.imgur.com/Sn2VRTs.png
This casts doubt on the claim that vaccine deaths are incorrectly being labelled with the COVID-19 symptom.
Yes I believe that most peoples' perception of the excess deaths due to these vaxxines is obscured by their naturally low level of experience with regular causes of death. For people that only encounter death among friends and family relatively rarely (the norm) it isn't apparent when an increase occurs even when this may be statistically significant.
There is an undeniable increase in excess mortality which can't be hidden but will be explained away by other causes. One device is to count deaths within 21 days post jab as unvaccinated deaths often from covid-19. Nice trick if you can get away with it, and they did.
Yet the scale of non-fatal adverse health effects from these vaxxines is far greater but much easier to disguise as being due too other factors. Lockdowns are now the scapegoat for sudden adult death syndrome.
Yes I believe that most peoples' perception of the excess deaths due to these vaxxines is obscured by their naturally low level of experience with regular causes of death. For people that only encounter death among friends and family relatively rarely (the norm) it isn't apparent when an increase occurs even when this may be statistically significant.
There is an undeniable increase in excess mortality which can't be hidden but will be explained away by other causes. One device is to count deaths within 21 days post jab as unvaccinated deaths often from covid-19. Nice trick if you can get away with it, and they did.
Yet the scale of non-fatal adverse health effects from these vaxxines is far greater but much easier to disguise as being due too other factors. Lockdowns are now the scapegoat for sudden adult death syndrome.
VAERS 942072 has changed and no longer lists COVID-19 as the first symptom.
https://openvaers.com/covid-data/covid-reports/0942072
I came across a video by Stew Peters interviewing someone in which the claim is made that only 5% of vaccine lots are tied to 100% of VAERS reports. If true. that has far-reaching implications. We would expect a roughly even spread across vaccine lots, so are 5% of the vaccines different in some way?
https://tv.gab.com/channel/realstewpeters/view/vaers-reveals-death-by-lot-number-618043ad79fddabeff768f34
I also came across data (lost the original tweet but saved the pic) showing that since the vaccine rollouts there have been 10x more GOP voting district 'CovID' deaths then Dems'. If both the above are true, the implications are horrific: those 5% vaccine lots are being steered toward GOP districts.
https://twitter.com/Great_Briton_I/status/1454871977370456065
There was also a Slovenian nurse who claimed that the bottles were numbered 01, 02 or 03, and that 01 contains saline, 02 mRNA, and 03 mRNA for the spike + an oncogene. Wild and fantastic as this claim is, I have seen reports by different people of a surge in cancer amongst vaccinated people, especially those who were in remission.
So, if you look at TOTAL U.S. mortality on this graph here (https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm) and compare it to the weekly rate of vaccinations, in this chart here (https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html) what you see is that total mortality in the U.S. plummeted at precisely the same time as the vaccination campaign peaked. So, the number of weekly vaccines peaks about early April (with over 4 million doses delivered in a single day) with total mortality in the U.S. dropping like a stone from late January, and reaching a low (before the next wave of Covd) in early May. If there were tens of thousands of deaths from the vaccines, you would expect to see the exact opposite. How do you explain this?
"Now, do I believe that the vaccine kill 1 out of every thousand recipients? No. I suspect that this is a ceiling for the actual impact. It makes sense that the first 30 days of mass vaccination skewed toward high risk groups."
to clarify: is it the case that you do believe ~1 in every 1000 doses in Europe so far has resulted in a death (but that the rate will likely drop as time goes on) as indicated in the first paragraph?
Are you aware of these results?
https://hillmd.substack.com/p/vaccine-batches-vary-in-toxicity
Q - How do you get a dose response curve from allegedly random data?
A - You don’t.
Yet there it is.
- UPDATE -
https://m.youtube.com/watch?v=1dPKwYjtcOo
I looked at cases/deaths in the most highly vaxxed countries (at the time) and saw a spike after vax rollout date in the larger populated countries (excludes China as they didn't use our vax and also countries not listed on World o meter) https://joannaf2.substack.com/p/do-covid-vaccines-work?justPublished=true