COVID-19 is the first fully-genetically-designed disease/cure construct.
The pathogen, the test (PCR), the injection (mRNA)... are all based entirely on computer-aided genome wet-chemistry, without rigorous cell cultures, analytical autopsies, lab demonstrations, or anything, and no debate.
By Denis G. Rancourt, PhD
Researcher, Ontario Civil Liberties Association (ocla.ca)
Member scientist, PANDA (pandata.org)
[ See section about the author’s expertise, at the end ]
Opinion/Belief (not submitted for journal publication)
This is purely my personal beliefs. I do not speak on behalf of OCLA or PANDA.
4 January 2021
Updated on 13 March 2021, with text in bold-italics.
At this time, I hold the following beliefs about COVID.
• In 2020, no respiratory disease virus or viruses (the postulated SARS-CoV-2 included) caused any anomaly (total or incremental) in all-cause mortality.
• All-cause mortality by month, week or day has the clear signature of localized mass deaths caused by medical responses (treatment interventions) and government the measures purportedly intended to reduce transmission (response-induced deaths).
• The said signature of response-induced deaths, in all-cause mortality, includes:
i. Global synchronicity of sudden onsets immediately following the 11 March 2020 WHO declaration of a pandemic and recommendation to “prepare your hospitals”.
ii. Unprecedented lateness in the seasonal cycle of the sudden onsets.
iii. Extreme granularity of the intensities of the sudden onsets, from jurisdiction to jurisdiction, from zero to very large, down to regional levels.
• Unprecedented tight lockdowns of care homes, following transfers from hospitals of sick and infected patients, caused deadly epidemics in care homes.
• Deadly epidemics in care homes in themselves are not new, and have been amply documented in the pre-2020 scientific literature.
• Many respiratory disease viruses acted concomitantly in 2020, in association with bacterial pneumonias, as is always the case in heightened winter-season transmission and infection.
• Assignment of cause of death as being due to SARS-CoV-2 is worthless. It is pure propaganda enabled by captured institutions.
• No certified uncontaminated samples of the purported pathogen (SARS-CoV-2) were or are available for scientific study and biotech development. The genetic sequence was concocted in the absence of a purified sample of the presumed pathogen, using indirect methods.
• The RT-PCR test that was devised for COVID-19 has no clinical or epidemiological value whatsoever. It is one of the greatest scandals in public health history.
• The USA is a special case because it has a large population that is particularly vulnerable to great harm from large-scale societal measures. Relevant factors include: obesity, poverty, social class oppression, precarious workforce, substandard universal health care, high social tensions, large income disparity, large homeless and working poor underclasses, aggressive Big Pharma capture, high seasonal vaccination rate, high pharma and illegal drug use, high density of atomized or socially isolated individuals, poor nutrition, low physical activity rates, high rate of psychological depression, high rates of built environment air-conditioning without ventilation, and so on.
• Transmission of viral respiratory diseases is not by contact. It is overwhelmingly by aerosol particles in air. Surface cleaning and hand washing are virtually useless for slowing transmission.
• Masks do not work to reduce transmission, and cause significant harm to school children, and to society.
• The magical “one way mask”, which does not protect the wearer but acts as “source control”, is an invention for propaganda. It is contrary to the physics of breathing aerosol particles suspended in the fluid air. It is a ridiculous fantasy.
• Vaccine trials funded, run, documented, and reported by Big Pharma are at best untrustworthy. They should not be allowed, and they are probably falsified.
• Vaccines for seasonal viral respiratory diseases are a bad idea. They are dangerous, harmful, and unnecessary. They are driven by profit, not by actual public health.
• By far, the main determinants of disease severity for seasonal viral respiratory diseases are: psychological stress, social isolation, individual health status, obesity, and immunological history (including vaccination challenges).
My competence to develop beliefs about COVID
Links to my articles about COVID are listed here:
http://activistteacher.blogspot.com/2020/07/links-to-denis-rancourt-articles-and.html
I am retired and a former tenured Full Professor of Physics, University of Ottawa. Full Professor is the highest academic rank. During my 23-year career as a university professor, I developed new courses and taught over 2000 university students, at all levels, and in three different faculties (Science, Engineering, Arts). I supervised more than 80 junior research terms or degrees at all levels from post-doctoral fellow to graduate students to NSERC undergraduate researchers. I headed an internationally recognized interdisciplinary research laboratory, and attracted significant research funding for two decades.
I have been an invited plenary, keynote, or special session speaker at major scientific conferences some 40 times. I have published over 100 research papers in leading peer-reviewed scientific journals, in the areas of physics, chemistry, geology, bio-geochemistry, measurement science, soil science, and environmental science.
My scientific h-index impact factor is 40, and my articles have been cited more than 5,000 times in peer-reviewed scientific journals (profile at Google Scholar: https://scholar.google.ca/citations?user=1ChsRsQAAAAJ ).
My personal knowledge and ability to evaluate the facts in this article are grounded in my education, research, training and experience, as follows:
i. Regarding environmental nanoparticles. Viral respiratory diseases are transmitted by the smallest size-fraction of virion-laden aerosol particles, which are reactive environmental nanoparticles. Therefore, the chemical and physical stabilities and transport properties of these aerosol particles are the foundation of the dominant contagion mechanism through air. My extensive work on reactive environmental nanoparticles is internationally recognized, and includes: precipitation and growth, surface reactivity, agglomeration, surface charging, phase transformation, settling and sedimentation, and reactive dissolution. In addition, I have taught the relevant fluid dynamics (air is a compressible fluid), and gravitational settling at the university level, and I have done industrial-application research on the technology of filtration (face masks are filters).
ii. Regarding molecular science, molecular dynamics, and surface complexation. I am an expert in molecular structures, reactions, and dynamics, including molecular complexation to biotic and abiotic surfaces. These processes are the basis of viral attachment, antigen attachment, molecular replication, attachment to mask fibers, particle charging, loss and growth in aerosol particles, and all such phenomena involved in viral transmission and infection, and in protection measures. I taught quantum mechanics at the advanced university level for many years, which is the fundamental theory of atoms, molecules and substances; and in my published research I developed X-ray diffraction theory and methodology for characterizing small material particles.
iii. Regarding statistical analysis methods. Statistical analysis of scientific studies, including robust error propagation analysis and robust estimates of bias, sets the limit of what reliably can be inferred from any observational study, including randomized controlled trials in medicine, and including field measurements during epidemics. I am an expert in error analysis and statistical analysis of complex data, at the research level in many areas of science. Statistical analysis methods are the basis of medical research.
iv. Regarding mathematical modelling. Much of epidemiology is based on mathematical models of disease transmission and evolution in the population. I have research-level knowledge and experience with predictive and exploratory mathematical models and simulation methods. I have expert knowledge related to parameter uncertainties and parameter dependencies in such models. I have made extensive simulations of epidemiological dynamics, using standard compartmental models (SIR, MSIR) and new models.
v. Regarding measurement methods. In science there are five main categories of measurement methods: (1) spectroscopy (including nuclear, electronic and vibrational spectroscopies), (2) imaging (including optical and electron microscopies, and resonance imaging), (3) diffraction (including X-ray and neutron diffractions, used to elaborate molecular, defect and magnetic structures), (4) transport measurements (including reaction rates, energy transfers, and conductivities), and (5) physical property measurements (including specific density, thermal capacities, stress response, material fatigue…). I have taught these measurement methods in an interdisciplinary graduate course that I developed and gave to graduate (M.Sc. and Ph.D.) students of physics, biology, chemistry, geology, and engineering for many years. I have made fundamental discoveries and advances in areas of spectroscopy, diffraction, magnetometry, and microscopy, which have been published in leading scientific journals and presented at international conferences. I know measurement science, the basis of all sciences, at the highest level.
General background:
Here are my videos about COVID-19 (playlist):
https://www.youtube.com/playlist?list=PLtlB5X7s54oW0D9bJF5E-JPdLkFZ-YZBw
And see my articles:
https://www.researchgate.net/publication/340738912_OCLA_Report_2020-1_Criticism_of_Government_Response_to_COVID-19_in_Canada
https://www.researchgate.net/publication/340570735_Masks_Don't_Work_A_review_of_science_relevant_to_COVID-19_social_policy
https://www.researchgate.net/publication/332182416_GEO-ECONOMICS_AND_GEO-POLITICS_DRIVE_SUCCESSIVE_ERAS_OF_PREDATORY_GLOBALIZATION_AND_SOCIAL_ENGINEERING_Historical_emergence_of_climate_change_gender_equity_and_anti-racism_as_State_doctrines
Recently, the US interpretation of the Biological Weapons Convention has come to reflect the point of view that Article I, which forbids the development or production of biological agents except under certain circumstances, does not apply to non-lethal biological weapons. [Introduction to Biological Weapons, 2013]
In the anatomy of a system for change, clinicians are the feet that do the walking. They can also be the feet that drag. […] Making change is always about the art of the possible. Sometimes it would be great to pass a piece of legislation requiring hospitals or doctors to do something, but it just isn’t feasible. At other times it would be better to engage physicians and inspire them to drive change locally, but sometimes they’re frankly unwilling or unable to do so.You get the drift. It’s on and on like that.
In the words of Dr. Barbara Starfield, and many others, it is therefore incontrovertible that establishment medicine is the third leading cause of death in industrialized countries, after deaths from heart disease and cancer, which in turn are causes that medicine can do very little about. The next and fourth leading cause of death is cerebrovascular disease and its rate is far below that from medical-induced (iatrogenic) deaths, such that “medical manslaughter” is not about to give up its rank of third leading cause.In concrete terms, I calculated that this means that between 6% and 8% of advanced Western state citizens die from medicine rather than any other cause, including both medical-error deaths and non-error medical deaths.4
Within the last decade medical professional practice has become a major threat to health. Depression, infection, disability, dysfunction, and other specific iatrogenic diseases now cause more suffering than all accidents from traffic or industry. Beyond this, medical practice sponsors sickness by the reinforcement of a morbid society which not only industrially preserves its defectives but breeds the therapist’s client in a cybernetic way. Finally, the so-called health-professions have an indirect sickening power – a structurally health-denying effect. I want to focus on this last syndrome, which I designate as medical Nemesis. By transforming pain, illness, and death from a personal challenge into a technical problem, medical practice expropriates the potential of people to deal with their human condition in an autonomous way and becomes the source of a new kind of un-health.5“The medical establishment has become a major threat to health” was true is 1976 and that threat has only dug itself in and widened.6 However, more is scientifically known now about the mechanistic cause of ill-health of the individual animal then was known in the 1970s.4,7,8 Therefore, then and now, in addition to hiding the truth about healing, the fundamental truth about the cause of ill-health must also be hidden from the individual and buried as deeply as possible.
Abstract
Part-I: I critically review the context of cancer research, where it has been advanced that most published research findings are false, that medicine itself is the third leading cause of death in the Western world, and that experienced stress arising from an individual’s position in society’s dominance hierarchy is the primary determinant of individual health.
Part-II: I critically review the randomized trials for treatments and screening, especially for breast cancer. It has been advanced that screening does more harm than good, and that treatment protocols have little effect on net population mortality from cancer. There is no robust demonstration that the treatment protocols for the common cancers do more good than harm to individual patients.
Part-III: I critically review the mutation-centric metastasis dominant paradigm of cancer, and various efforts to somewhat or definitively challenge the dominant paradigm, with an eye to answering the question “What is cancer?”
Final section: I propose a conceptual model of cancer, which incorporates the leading criticisms of the dominant paradigm, and which is testable. In my model, cancer is an age-dependent and tissue-specific stress-induced breakdown of tissue-shape homeostasis. My model is aided by a graphical picture depicting age-specific and tissue-specific curves of steady-state nodule size (DT) versus experienced stress level (S). A given curve has a critical stress (SC) beyond which there is runaway tumour growth due to tissue-response feedback. Here, “metastasis” is the simple consequence of the individual’s tissue susceptibility to loss of shape homeostasis having gone supercritical for a cluster of tissue-specific DT v. S curves. The model provides treatment strategies on three branches: Psychological, tissue-surface-shape homeostasis, and tumour growth feedback attenuation.
“Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientific fields, claimed research findings may often be simply accurate measures of the prevailing bias.”
“… when more teams are involved in a scientific field in chase of statistical significance … The hotter a scientific field (with more scientific teams involved), the less likely the research findings are to be true.”
“Prejudice may not necessarily have financial roots. Scientists in a given field may be prejudiced purely because of their belief in a scientific theory or commitment to their own findings. Many otherwise seemingly independent, university-based studies may be conducted for no other reason than to give physicians and researchers qualifications for promotion or tenure. Such nonfinancial conflicts may also lead to distorted reported results and interpretations. Prestigious investigators may suppress via the peer review process the appearance and dissemination of findings that refute their findings, thus condemning their field to perpetuate false dogma. Empirical evidence on expert opinion shows that it is extremely unreliable.”
“… a novel model is needed in funding research to avoid the creation of narrow, isolated specialties that only self-perpetuate … For example, human genetics research has received tremendous funding. This money has not been wasted because other activities and high-tech industry have emerged to support the needs of the genetics community. However, few lives have been saved because of accumulated human genetics knowledge to date, and future prospects (eg, extensions to personalized and precision medicine) also are not promising. Similarly, intellectual fascination in neuroscience for many decades has led to few new practical applications …”
"In some cases, it is dominant individuals who show this profile. This includes species where dominant individuals have to repeatedly and physically reassert their rank (e.g., feral populations of dwarf mongooses, African wild dogs, female ring-tailed lemurs, and male chimpanzees) (12, 13, 39); those that are cooperative breeders (feral wolves and captive marmosets and tamarins) (16, 21); and those with transient periods of major rank instability (feral baboons and captive populations of talapoin, squirrel, and rhesus monkeys) (22)."
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