Recent research by Denis G. Rancourt, Joseph Hickey, and Christian Linard has brought to light significant discrepancies in all-cause mortality rates across 125 countries during the COVID-19 pandemic period from 2020 to 2023. The study, published by Correlation Research in the Public Interest, suggests that the COVID-19 crisis might not fit the conventional definition of a pandemic due to the vast differences in mortality rates observed in adjacent regions.
Adjacent Regions, Divergent Outcomes
The World Health Organization (WHO) declared COVID-19 a pandemic on March 11, 2020, anticipating widespread and consistent impact globally. However, the study reveals a different reality. Countries, states, and even cities located next to each other experienced vastly different mortality rates. This inconsistency undermines the idea of a uniform, highly infectious viral pandemic.
For instance, within North America, significant differences were noted between Canada, the USA, and Mexico. Similarly, Europe saw stark East-West disparities. These differences are attributed to variations in socio-economic conditions and public health policies rather than the spread of an infectious disease.
An Australian Case: South Australia vs. Victoria
A striking example of this phenomenon can be observed in Australia. South Australia and Victoria, neighboring states, experienced markedly different COVID-19 outcomes. South Australia reported low COVID-19 death counts and mortality rates, whereas Victoria had the highest death counts and one of the highest death rates in the country.
Victoria implemented severe lockdowns, enforced mask mandates, and conducted aggressive vaccination campaigns. Conversely, South Australia adopted a more relaxed approach. Despite Victoria’s stringent measures, the state saw higher mortality rates, raising questions about the effectiveness of such interventions.
Study Highlights Major Inconsistencies
The study points out several inconsistencies that challenge the viral pandemic narrative:
- Near-Synchronicity of Mortality Surges: Mortality surges coincided with the WHO’s pandemic declaration across continents, yet were not observed prior to this announcement in any country.
- Heterogeneity in Mortality Rates: Large differences in mortality rates were observed between adjacent countries and regions, even those sharing borders.
- Temporal Variability: Significant fluctuations in mortality rates over time were noted within individual countries, with periods of high excess mortality followed by periods of zero excess mortality.
- Lack of Correlation with Vaccination Campaigns: The study found no evidence that large-scale vaccination efforts led to reductions in excess mortality rates.
Socio-Economic Factors as Primary Drivers
The research correlates the observed excess mortality with socio-economic factors and public health interventions rather than the virus itself. The primary causes identified include:
- Biological and Psychological Stress: Resulting from lockdowns and socio-economic disruptions.
- Non-COVID-19 Medical Interventions: Such as the use of mechanical ventilators and denial of certain treatments.
- COVID-19 Vaccine Rollouts: Particularly repeated vaccinations of the same populations.
These findings suggest that the excess mortality was largely driven by the response to the pandemic rather than the disease itself. This hypothesis is further supported by the large discrepancies in mortality rates across different regions and over time.
Controversial Treatments and Banned Medications
In addition to the socio-economic and public health interventions, the banning of certain medications and treatments played a role in the COVID-19 narrative. Several potentially effective treatments were either restricted or banned by medical authorities and governments, contributing to the complexity of the COVID-19 pandemic response:
- The Zelenko Protocol: This treatment regimen, which includes hydroxychloroquine (HCQ), zinc, and azithromycin (AZM), showed promise in a randomized trial. However, it faced significant regulatory hurdles and skepticism from mainstream medical authorities.
- Ivermectin, Zinc, and Doxycycline: These medications were reported to mitigate the cytokine storm associated with severe COVID-19 cases. Despite supportive evidence, their use was largely discouraged or banned in many regions.
- Oral Budesonide: An asthma medication that can quickly stop the cytokine storm, oral budesonide also faced restrictions, limiting its use despite anecdotal success in treating COVID-19 symptoms.
The banning and restriction of these treatments sparked considerable debate within the medical community and among the public. These decisions may have influenced the course of the pandemic by limiting access to potentially life-saving medications.
Implications for Public Health Policy
The study calls for a reassessment of the measures taken during the COVID-19 pandemic period. It emphasizes the need to address socio-economic factors and to critically evaluate the impact of public health interventions.
Policymakers should consider these findings to develop more effective strategies that minimize unintended consequences in future health crises.
To review the complete 521-page Correlation Research in the Public Interest paper with all of its documented charts and comparisons, visit the website (PDF).
