Study on vaccine efficacy

[joswift]

https://www.researchgate.net/publication/357778435_Official_mortality_data_for_England_suggest_systematic_miscategorisation_of_vaccine_status_and_uncertain_effectiveness_of_Covid-19_vaccination

Whatever the explanations for the anomalies, it is clear that the data is unreliable and conclusions regarding vaccine efficacy specious. Likewise, given the ONS’s suggestion in its December report [25] that the anomalies are the result of vaccinations being denied to moribund or terminally ill patients, or that there is a healthy vaccinee effect, we tested this hypothesis and found it was not plausible. The onus is now on those who propose this explanation to demonstrate empirically how it works. We considered the socio-demographic and behavioural differences between vaccinated and unvaccinated that have been proposed as possible explanations for the anomalies but found no evidence supporting any of these explanations. By Occam’s razor we believe the most likely explanations are: 

• Systematic miscategorisation of deaths  between the  different groups of  unvaccinated and vaccinated.

 
• Delayed or non-reporting of vaccinations.

• Systematic underestimation of the proportion of unvaccinated.

• Incorrect population selection for Covid deaths. With these considerations in mind, we applied adjustments to the ONS data and showed that they lead to the conclusion that the vaccines do not reduce all-cause mortality, but rather produce genuine spikes in all-cause mortality shortly after vaccination

[Matt]

We considered the socio-demographic and behavioural differences between vaccinated and unvaccinated that have been proposed as possible explanations for the anomalies but found no evidence supporting any of these explanations.

^ I wondered if that was it. Truth be told - the stupid junkies, fat stinking cunts and others make up 5% of the population, yet consume 50% of all healthcare resources.

I wondered if these pieces of **** just didn't get vaccinated, and are now clogging up the hospital at rates even higher than before. Looks like the answer is no though, based on this study.

By Occam’s razor we believe the most likely explanations are:

• Systematic miscategorisation of deaths  between the  different groups of  unvaccinated and vaccinated.

Does this mean that they are fraudulently calling more random deaths of unvaccinated people "Covid"?

Like when they tested 14-year-old Nathanael Spitzer for Covid two days before he died of TERMINAL BRAIN CANCER, and called it a "Covid death" in Alberta, before the family called out the government for doing that, and it had to be removed from the PHAC data?

Or are they just ramping the cycle threshold to >34 on the PCR test to churn out false positives for the unvaccinated, and calling their deaths Covid? 

• Systematic underestimation of the proportion of unvaccinated.

I'd like to see the extent of this, and a breakdown by country.

[G_Thang]

Like when they tested 14-year-old Nathanael Spitzer for Covid two days before he died of TERMINAL BRAIN CANCER, and called it a "Covid death" in Alberta, before the family called out the government for doing that, and it had to be removed from the PHAC data?

Nothing new here.  On avg, you have 25000 influenza deaths yearly.  In the middle of flu season, there are zero flu deaths being reported while covid deaths have a slight decline even though scientifically the virus has been found to assimilate genetic code from a benign common cold virus.  Note: no one is being tested for Flu A and B.  Is the current Influenza strain dominant over omicron but only benign omicron variants are being reported as the primary cause of death?  Remember both are respiratory and reports have surfaced that roughly 50% of patients are hospitalized for non-covid aliments but carry a primary covid DX on their charts. 

[pamith]

Brutal is true

[Stutheobald]

https://www.researchgate.net/publication/357778435_Official_mortality_data_for_England_suggest_systematic_miscategorisation_of_vaccine_status_and_uncertain_effectiveness_of_Covid-19_vaccination

Whatever the explanations for the anomalies, it is clear that the data is unreliable and conclusions regarding vaccine efficacy specious. Likewise, given the ONS’s suggestion in its December report [25] that the anomalies are the result of vaccinations being denied to moribund or terminally ill patients, or that there is a healthy vaccinee effect, we tested this hypothesis and found it was not plausible. The onus is now on those who propose this explanation to demonstrate empirically how it works. We considered the socio-demographic and behavioural differences between vaccinated and unvaccinated that have been proposed as possible explanations for the anomalies but found no evidence supporting any of these explanations. By Occam’s razor we believe the most likely explanations are: 

• Systematic miscategorisation of deaths  between the  different groups of  unvaccinated and vaccinated.
 
• Delayed or non-reporting of vaccinations.

• Systematic underestimation of the proportion of unvaccinated.

• Incorrect population selection for Covid deaths. With these considerations in mind, we applied adjustments to the ONS data and showed that they lead to the conclusion that the vaccines do not reduce all-cause mortality, but rather produce genuine spikes in all-cause mortality shortly after vaccination

I guess you want to miss out the REALLY important bit which says: Preprints and early-stage research may not have been peer reviewed yet. and did you read the conclusion?

"There are, of course, some caveats to our analysis.  While we have completely ignored the 10-59 age group because it is far too broad so age confounding would likely overwhelm any conclusions, the age groups 60-69, 70-79, 80+ are themselves quite coarse, and there may be some age confounding within these age groups. For example, the average age of the vaccinated 60-69 age group may be higher than that of the unvaccinated 60-69 group and hence the number of  deaths  would naturally  be slightly higher. We  have  deliberately  chosen  not  to  subject  the  data  to  a  degree  of  sophisticated  statistical  or probabilistic modelling but can readily imagine what might be done. We have carried out some basic computations of confidence intervals to address the fact that at various points the population sizes differ dramatically, and from this the patterns reported remain visible, significant and our analysis credible. Ultimately, our analysis is hypothetical insofar as it  presents two  processes, one based on the  risk presented by the period before/after vaccination and infection and one based on categorisation, both of which might better explain the patterns in the data. However, we believe it is up to those who offer competing explanations to explain how and why the data  is the way it is. We have  explained that various social and ethnic factors are very unlikely to explain these odd differences in the ONS data set. Same with the moribund/healthy vaccinee effect. Absent any other better explanation, Occam’s razor would support  our conclusions.  In any  event, the  ONS data  provide no reliable  evidence that  the vaccine reduces all-cause mortality"

This preprint wont stand up to being peer reviewed as they manipulated the data to get the results

[joswift]

I guess you want to miss out the REALLY important bit which says: Preprints and early-stage research may not have been peer reviewed yet. and did you read the conclusion?

"There are, of course, some caveats to our analysis.  While we have completely ignored the 10-59 age group because it is far too broad so age confounding would likely overwhelm any conclusions, the age groups 60-69, 70-79, 80+ are themselves quite coarse, and there may be some age confounding within these age groups. For example, the average age of the vaccinated 60-69 age group may be higher than that of the unvaccinated 60-69 group and hence the number of  deaths  would naturally  be slightly higher. We  have  deliberately  chosen  not  to  subject  the  data  to  a  degree  of  sophisticated  statistical  or probabilistic modelling but can readily imagine what might be done. We have carried out some basic computations of confidence intervals to address the fact that at various points the population sizes differ dramatically, and from this the patterns reported remain visible, significant and our analysis credible. Ultimately, our analysis is hypothetical insofar as it  presents two  processes, one based on the  risk presented by the period before/after vaccination and infection and one based on categorisation, both of which might better explain the patterns in the data. However, we believe it is up to those who offer competing explanations to explain how and why the data  is the way it is. We have  explained that various social and ethnic factors are very unlikely to explain these odd differences in the ONS data set. Same with the moribund/healthy vaccinee effect. Absent any other better explanation, Occam’s razor would support  our conclusions.  In any  event, the  ONS data  provide no reliable  evidence that  the vaccine reduces all-cause mortality"

This preprint wont stand up to being peer reviewed as they manipulated the data to get the results

it wont stand up to peer review because they will only listen to the peers who disgaree with it.

and as for manipulating the data??

Fucks sake mate where have you been for the last two years.
The entire published media and government data has been totally manipulated and made to fit the agenda they have been pushing

[Gym-Rat]

i went into the office for the first time in 2 yrs yesterday to help with a lab setup, and also clean out my office.
saw I guy Al ive worked with since 2004, he didnt look or sound right.
when he left Rob told me what happened to him.

they had the vaccine area all setup outside our buildings in the parking lot, with tents, etc
al was all proud, went out for his jab.
by the time he got back inside, he was stroking out on the floor, airlifted to hospital where they saved him.
sems like some permanent damage (limp, slur, fucked arm, etc)
on top of that he got covid pretty bad so he ruined himself for nada

odd times

also told me of his neighbors 30 yr old daughter who died from it, brain swelled inside her head, didnt recognize her ma, died pretty quickly
all for a forced jab (teacher)