Denis Rancourt, Marine Baudin and Jérémie Mercier discuss their paper, COVID-Period Mass Vaccination Campaign and Public Health Disaster in the USA.
ResearchGate
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All-cause mortality by time is the most reliable data for detecting and epidemiologically characterizing events causing death, and for gauging the population-level impact of any surge or collapse in deaths from any cause. Such data is not susceptible to reporting bias or to any bias in attributing causes of death. We compare USA all-cause mortality by time (month, week), by age group and by state to number of vaccinated individuals by time (week), by injection sequence, by age group and by state, using consolidated data up to week-5 of 2022 (week ending on February 5, 2022), in order to detect temporal associations, which would imply beneficial or deleterious effects from the vaccination campaign. We also quantify total excess all-cause mortality (relative to historic trends) for the entire covid period (WHO 11 March 2020 announcement of a pandemic through week-5 of 2022, corresponding to a total of 100 weeks), for the covid period prior to the bulk of vaccine delivery (first 50 weeks of the defined 100-week covid period), and for the covid period when the bulk of vaccine delivery is accomplished (last 50 weeks of the defined 100-week covid period); by age group and by state. We find that the COVID-19 vaccination campaign did not reduce all-cause mortality during the covid period. No deaths, within the resolution of all-cause mortality, can be said to have been averted due to vaccination in the USA. The mass vaccination campaign was not justified in terms of reducing excess all-cause mortality. The large excess mortality of the covid period, far above the historic trend, was maintained throughout the entire covid period irrespective of the unprecedented vaccination campaign, and is very strongly correlated (r = +0.86) to poverty, by state; in fact, proportional to poverty. It is also correlated to several other socioeconomic and health factors, by state, but not correlated to population fractions (65+, 75+, 85+ years) of elderly state residents.
However, 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. That is because we have shown a range of fundamental inconsistencies and flaws in the data. Specifically:
• In each group the non-Covid mortality rates in the three different categories of vaccinated people fluctuate in a wild, but consistent way, far removed from the expected historical mortality rates.
• Whereas the non-Covid mortality rate for unvaccinated should be consistent with historical mortality rates (and if, anything slightly lower than the vaccinated non-Covid mortality rate) it is not only higher than the vaccinated mortality rate, but it is far higher than the historical mortality rate.
• In previous years each of the 60-69, 70-79 and 80+ groups have mortality peaks at the same time during the year (including 2020 when all suffered the April Covid peak at the same time). Yet in 2021 each age group has non-Covid mortality peaks for the unvaccinated at a different time, namely the time that vaccination rollout programmes for those cohorts reach a peak.
• The peaks in the Covid mortality data for the unvaccinated are inconsistent with the actual Covid wave.
Whatever the explanations for the observed data, it is clear that it is both unreliable and misleading. We considered the socio-demographic and behavioural differences between vaccinated and unvaccinated that have been proposed as possible explanations for the data anomalies, but found no evidence supports 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.
Masks have been shown consistently over time and throughout the world to have no significant preventative impact against any known pathogenic microbes. Specifically, regarding COVID-19, we have shown in this paper that mask use is not correlated with lower death rates nor with lower positive PCR tests.
Masks have also been demonstrated historically to contribute to increased infections within the respiratory tract. We have examined the common occurrence of oral and nasal pathogens accessing deeper tissues and blood, and potential consequences of such events. We have demonstrated from the clinical and historical data cited herein, we conclude the use of face masks will contribute to far more morbidity and mortality than has occurred due to COVID-19.
There is no biological history of mass masking until the current era. It is important to consider possible outcomes of this society-wide experiment. The consequences to the health of individuals is as yet unknown. Masked individuals have measurably higher inspiratory flow than non-masked individuals. This study is of new masks removed from manufacturer packaging, as well as a laundered cloth mask, examined microscopically. Loose particulate was seen on each type of mask. Also, tight and loose fibers were seen on each type of mask. If every foreign particle and every fiber in every facemask is always secure and not detachable by airflow, then there should be no risk of inhalation of such particles and fibers. However, if even a small portion of mask fibers is detachable by inspiratory airflow, or if there is debris in mask manufacture or packaging or handling, then there is the possibility of not only entry of foreign material to the airways, but also entry to deep lung tissue, and potential pathological consequences of foreign bodies in the lungs.
Masks and respirators do not work. There have been extensive randomized controlled trial (RCT) studies, and meta-analysis reviews of RCT studies, which all show that masks and respirators do not work to prevent respiratory influenza-like illnesses, or respiratory illnesses believed to be transmitted by droplets and aerosol particles. Furthermore, the relevant known physics and biology, which I review, are such that masks and respirators should not work. It would be a paradox if masks and respirators worked, given what we know about viral respiratory diseases: The main transmission path is long-residence-time aerosol particles (< 2.5 μm), which are too fine to be blocked, and the minimum-infective-dose is smaller than one aerosol particle. The present paper about masks illustrates the degree to which governments, the mainstream media, and institutional propagandists can decide to operate in a science vacuum, or select only incomplete science that serves their interests. Such recklessness is also certainly the case with the current global lockdown of over 1 billion people, an unprecedented experiment in medical and political history.
Update: The researchgate.net link no longer works but an archive on archive.org is available:
Update 2 July 2020: Denis Rancourt talks about his paper in this video.
Update 30 July 2020: Del Bigtree’s channel has been censored by YouTube. His video with Denis Rancourt has been mirrored below.