Excess Deaths in the United Kingdom: Midazolam and Euthanasia in the COVID-19 Pandemic https://www.researchgate.net/publicat… Macro-data during the COVID-19 pandemic in the United Kingdom (UK) are shown to have significant data anomalies and inconsistencies with existing explanations. This paper shows that the UK spike in deaths, wrongly attributed to COVID-19 in April 2020, was not due to SARS-CoV-2 virus, which was largely absent, but was due to the widespread use of Midazolam injections, which were statistically very highly correlated (coefficient over 90%) with excess deaths in all regions of England during 2020. Importantly, excess deaths remained elevated following mass vaccination in 2021, but were statistically uncorrelated to COVID injections, while remaining significantly correlated to Midazolam injections. The widespread and persistent use of Midazolam in UK suggests a possible policy of systemic euthanasia. Unlike Australia, where assessing the statistical impact of COVID injections on excess deaths is relatively straightforward, UK excess deaths were closely associated with the use of Midazolam and other medical intervention. The iatrogenic pandemic in the UK was caused by euthanasia deaths from Midazolam and also, likely caused by COVID injections, but their relative impacts are difficult to measure from the data, due to causal proximity of euthanasia. Global investigations of COVID-19 epidemiology, based only on the relative impacts of COVID disease and vaccination, may be inaccurate, due to the neglect of significant confounding factors in some countries. Graphs April 2020, 98.8% increase 43,796 January 2021, 29.2% increase 16,546 Therefore covid is very dangerous, This interpretation, which is disputable, justified politically the declaration of emergency and all public health measures, including masking, lockdowns, etc. Excess deaths and erroneous conclusions 2020, 76,000 2021, 54,000 2022, 45,000 This evidence of “vaccine effectiveness” was illusory, due to incorrect attribution of the 2020 death spike. PS Despite advances in modern information technology, the accuracy of data collection has not advanced in the United Kingdom for over 150 years, because the same problems of erroneous data entry found then are still found now in the COVID pandemic, not only in the UK but all over the world. We have independently discovered the same UK data problem and solution for assessing COVID-19 vaccination as Alfred Russel Wallace had 150 years ago in investigating the consequences of Vaccination Acts starting in 1840 on smallpox: The Alfred Russel Wallace as used by Wilson Sy “Having thus cleared away the mass of doubtful or erroneous statistics, depending on comparisons of the vaccinated and unvaccinated in limited areas or selected groups of patients, we turn to the only really important evidence, those ‘masses of national experience’…” https://archive.org/details/b21356336… Alfred Russel Wallace, 1880s–1890s 1840 Vaccination Act Provided free smallpox vaccination to the poor Banned variolation Vaccination compulsory in 1853, 1867 Why his interest? C 1885 The Leicester Anti-Vaccination demonstrations (1885) Growing public resistance to compulsory vaccination Wallace’s increasing involvement in social reform and statistical arguments Statistical critique of vaccination Government data on: Smallpox mortality trends before and after compulsory vaccination Case mortality rates Vaccination vs. sanitation effects Mortality trends before and after each Act, 1853 and 1867 “Forty-Five Years of Registration Statistics, Proving Vaccination to Be Both Useless and Dangerous” (1885) “Vaccination a Delusion; Its Penal Enforcement a Crime” (1898) Contributions to the Royal Commission on Vaccination (1890–1896) Wallace argued: Declining smallpox mortality was due to improved sanitation, not vaccination Official statistics were misinterpreted or biased Compulsory vaccination was unjust Re-vaccination did not reliably prevent outbreaks These views were strongly disputed, then and now. Wallace had a strong distrust of medical authority He and believed in: Statistical reasoning Social reform Opposition to coercive government measures The primacy of environmental and sanitary conditions in health.
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