We can debate the details of the analysis, but the persistent and repeated positive association is the opposite of what we should expect if COVID-19 vaccine program reduces transmission and disease.
It's not about saving lives and it never has been about that. It's about depopulation and those that it doesn't kill will be lining the pockets of the evil big pharma for the rest of their miserable lives!
I'm also concerned that a huge percentage of those who don't die will be so ill that they can't work and contribute to society, and the 20% of us who didn't take the kill shot will be trying to support all the survivors. This was probably part of the plan, too...
The saddest part of this is we let them dumb us all down so quickly. We don't even put up a fight...we believe in things that make no sense and deep down we know it. If anyone really gives a ...hoot why are we not feeding the world instead of vaccinating it? Is it because covid perhaps puts us all on this even playing ground? Rich or poor young or old we can all get it....we are starting to see yes this is truth. It shows us just in the mere fact of who gets what treatments and how wide their wallet opens.
Thanks for the great analysis! I'm wondering if the time when vaccines were taken in particular groups has a significant effect. Knowing that vax effectiveness wanes rapidly, could we be seeing a situation when large percent of population is vaccinated months ago, and now the case rate is high because the waning effect?
It is apparent that the Phase III clinical trial is a failure and should not be extended to children let alone babies; however, the mass psychosis is very successful across the board including the medical community. The booster push gives us the opportunity to question not only the efficacy of the jab, but also its safety. A simple talking point one person at a time.
Severe acute respiratory syndrome coronavirus 2 (SARS–CoV–2) has led to the coronavirus disease 2019 (COVID–19) pandemic, severely affecting public health and the global economy. Adaptive immunity plays a crucial role in fighting against SARS–CoV–2 infection and directly influences the clinical outcomes of patients. Clinical studies have indicated that patients with severe COVID–19 exhibit delayed and weak adaptive immune responses; however, the mechanism by which SARS–CoV–2 impedes adaptive immunity remains unclear. Here, by using an in vitro cell line, we report that the SARS–CoV–2 spike protein significantly inhibits DNA damage repair, which is required for effective V(D)J recombination in adaptive immunity. Mechanistically, we found that the spike protein localizes in the nucleus and inhibits DNA damage repair by impeding key DNA repair protein BRCA1 and 53BP1 recruitment to the damage site. Our findings reveal a potential molecular mechanism by which the spike protein might impede adaptive immunity and underscore the potential side effects of full-length spike-based vaccines.
The risk/benefit of Covid vaccines is arguably most accurately measured by an all-cause mortality rate comparison of vaccinated against unvaccinated, since it not only avoids most confounders relating to case definition but also fulfils the WHO/CDC definition of "vaccine effectiveness" for mortality. We examine the latest UK ONS vaccine mortality surveillance report which provides the necessary information to monitor this crucial comparison over time. At first glance the ONS data suggest that, in each of the older age groups, all-cause mortality is lower in the vaccinated than the unvaccinated. Despite this apparent evidence to support vaccine effectiveness-at least for the older age groups-on closer inspection of this data, this conclusion is cast into doubt because of a range of fundamental inconsistencies and anomalies in the data. Whatever the explanations for the observed data, it is clear that it is both unreliable and misleading. While socio-demographical and behavioural differences between vaccinated and unvaccinated have been proposed as possible explanations, there is no evidence to support any of these. By Occam's razor we believe the most likely explanations are systemic miscategorisation of deaths between the different categories of unvaccinated and vaccinated; delayed or non-reporting of vaccinations; systemic underestimation of the proportion of unvaccinated; and/or incorrect population selection for Covid deaths.
Well, you can fit anything with a polynomial (multivariate) regression. If you're unable to reject the null that the slope is a flat line that's one thing; Least squares PVAC on a model fit is another. The question is why? Given the variability in the immune system, and given the history of an individuals immunological challenge, it's probably going to be difficult to model, at best. When variables differ and creap into a modeling system one says that it is confounded. The fact remains that natural immunity to pathogens got us here over 1.5 million years or so. It will continue to do so, regardless.
I get your point, however... the data fail to support that vaccines are reducing transmission and infection, even without the statistical analysis. The interaction term result is interesting.
It's not about saving lives and it never has been about that. It's about depopulation and those that it doesn't kill will be lining the pockets of the evil big pharma for the rest of their miserable lives!
I'm also concerned that a huge percentage of those who don't die will be so ill that they can't work and contribute to society, and the 20% of us who didn't take the kill shot will be trying to support all the survivors. This was probably part of the plan, too...
Like we workers are already doing for all the lazy one's refusing to get out and work now? Yep, sounds like part of the destroy American agenda to me!
Dr. Jack - I need to brush up on my statistical analysis game. What courses do you recommend at IPAK.EDU to accomplish this?
Applied Biostatistics! https://ipak-edu.org/old-home-2/?store-page=Applied-Biostatistics-Analytics-200-p379243785 and Spreadsheets 2 for execution https://ipak-edu.org/old-home-2/?store-page=Analysis-101-Spreadsheets-2-p411742356
Gracias!
The saddest part of this is we let them dumb us all down so quickly. We don't even put up a fight...we believe in things that make no sense and deep down we know it. If anyone really gives a ...hoot why are we not feeding the world instead of vaccinating it? Is it because covid perhaps puts us all on this even playing ground? Rich or poor young or old we can all get it....we are starting to see yes this is truth. It shows us just in the mere fact of who gets what treatments and how wide their wallet opens.
Excellent work! I couldn't agree more.
Dr. Lyons, you are clearly gifted at explaining complex topics. We're fortunate to have you among those trying to get the truth out there!
Thanks for the great analysis! I'm wondering if the time when vaccines were taken in particular groups has a significant effect. Knowing that vax effectiveness wanes rapidly, could we be seeing a situation when large percent of population is vaccinated months ago, and now the case rate is high because the waning effect?
It is apparent that the Phase III clinical trial is a failure and should not be extended to children let alone babies; however, the mass psychosis is very successful across the board including the medical community. The booster push gives us the opportunity to question not only the efficacy of the jab, but also its safety. A simple talking point one person at a time.
Get a load of this. https://www.ncbi.nlm.nih.gov/labs/pmc/articles/PMC8538446/
Severe acute respiratory syndrome coronavirus 2 (SARS–CoV–2) has led to the coronavirus disease 2019 (COVID–19) pandemic, severely affecting public health and the global economy. Adaptive immunity plays a crucial role in fighting against SARS–CoV–2 infection and directly influences the clinical outcomes of patients. Clinical studies have indicated that patients with severe COVID–19 exhibit delayed and weak adaptive immune responses; however, the mechanism by which SARS–CoV–2 impedes adaptive immunity remains unclear. Here, by using an in vitro cell line, we report that the SARS–CoV–2 spike protein significantly inhibits DNA damage repair, which is required for effective V(D)J recombination in adaptive immunity. Mechanistically, we found that the spike protein localizes in the nucleus and inhibits DNA damage repair by impeding key DNA repair protein BRCA1 and 53BP1 recruitment to the damage site. Our findings reveal a potential molecular mechanism by which the spike protein might impede adaptive immunity and underscore the potential side effects of full-length spike-based vaccines.
Yes, the spike protein itself is pathogenic. Thank you.
James, Check this out. https://www.researchgate.net/publication/356756711_Latest_statistics_on_England_mortality_data_suggest_systematic_mis-categorisation_of_vaccine_status_and_uncertain_effectiveness_of_Covid-19_vaccination
The risk/benefit of Covid vaccines is arguably most accurately measured by an all-cause mortality rate comparison of vaccinated against unvaccinated, since it not only avoids most confounders relating to case definition but also fulfils the WHO/CDC definition of "vaccine effectiveness" for mortality. We examine the latest UK ONS vaccine mortality surveillance report which provides the necessary information to monitor this crucial comparison over time. At first glance the ONS data suggest that, in each of the older age groups, all-cause mortality is lower in the vaccinated than the unvaccinated. Despite this apparent evidence to support vaccine effectiveness-at least for the older age groups-on closer inspection of this data, this conclusion is cast into doubt because of a range of fundamental inconsistencies and anomalies in the data. Whatever the explanations for the observed data, it is clear that it is both unreliable and misleading. While socio-demographical and behavioural differences between vaccinated and unvaccinated have been proposed as possible explanations, there is no evidence to support any of these. By Occam's razor we believe the most likely explanations are systemic miscategorisation of deaths between the different categories of unvaccinated and vaccinated; delayed or non-reporting of vaccinations; systemic underestimation of the proportion of unvaccinated; and/or incorrect population selection for Covid deaths.
Glad I read my stats book at uni.
Well, you can fit anything with a polynomial (multivariate) regression. If you're unable to reject the null that the slope is a flat line that's one thing; Least squares PVAC on a model fit is another. The question is why? Given the variability in the immune system, and given the history of an individuals immunological challenge, it's probably going to be difficult to model, at best. When variables differ and creap into a modeling system one says that it is confounded. The fact remains that natural immunity to pathogens got us here over 1.5 million years or so. It will continue to do so, regardless.
I get your point, however... the data fail to support that vaccines are reducing transmission and infection, even without the statistical analysis. The interaction term result is interesting.
Hello James, this analysis hasn't been peer reviewed, but fact checked by Reuters!
Would really appreciate your take on it.
https://vector-news.github.io/editorials/CausalAnalysisReport_html.html
I found your article (this one) from Steve Kirsch substack re the Causal Analysis Report
https://stevekirsch.substack.com/p/new-big-data-study-of-145-countries
The Bayesian analysis looks compelling; I can't digest all of it sufficiently right now. Thanks for sharing!