Madison Area Lyme Support Group

Justices are hearing arguments on vaccine mandates. It could go either way, with smart money against Biden. But watch Roberts, he’s gone south on important health issues before.

FNC: “The U.S. Supreme Court heard arguments Friday in a high-stakes public session to decide whether the U.S. government can begin enforcing sweeping COVID 19 vaccine requirements affecting nearly 100 million workers.

For three hours and 40 minutes, the justices heard oral arguments over federal vaccine and testing rules for businesses with 100 employees or more, and on vaccine mandates for health care workers at facilities receiving Medicaid and Medicare funding.  (See link for article)

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**Comment**

Unfortunately, the author of the article didn’t utilize facts & data that are now available:

• Nobody has a clue what’s in these injections and this should alarm everyone.
• Independent researchers from across the globe are finding frightening contaminants.
• Independent researchers are finding frightening objects in the blood of the “vaxxed”.
• These injections have caused more adverse reactions & death than any other vaccine in VAERS history.
• An American Heart Association study shows a link between the shots and heart attacks and the data has been confirmed by others.
• Even the CDC admits the shots are causing heart disease.
• A large Israeli study shows the Pfizer shot increases myocarditis three-fold.
• None of these injections stop transmission or infection so the argument that lives are being lost daily due to dropping the “vaccine” mandate is completely false.
• Although there are obvious holes in ‘breakthrough’ case reporting, data on the “vaccinated” shows many things:
  • pathogenic priming (the shots are making people vulnerable to illness)
  • because the CDC is purposely misleading the public on what “fully vaccinated” actually means, there is absolutely no way to know safety and efficacy, and they continue to move the goal-posts.
  • since manufacturers do not take “absolute risk reduction” into account, efficacy is less than 1%.
  • all the COVID shots show waning efficacy.
  • the “vaccinated” are the ones driving viral immune escape causing the pandemic to linger.
  • data from 145 countries shows the shots cause increase illness & death.

The following data completely dismantles the narrative that these fast-tracked, experimental, unproven injections which aren’t vaccines, do not stop infection or transmission, have a boat-load of contaminants, and have caused more sickness and death than any vaccine in the history of VAERS, reduce hospitalization & death.  That is a lie.

The following independent analysis has been ignored by the CDC, the FDA and the NIH since October of 2021.

https://vector-news.github.io/editorials/CausalAnalysisReport_html.html

Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A BigData Analysis of 145 Countries

2021-11-15

Results indicate that the treatment (vaccine administration) has a strong and statistically significant propensity to causally increase the values in either y1 or y2 over and above what would have been expected with no treatment. y1 showed an increase/decrease ratio of (+115/-13), which means

• 89.84% of statistically significant countries showed an increase in total deaths per million associated with COVID-19 due directly to the causal impact of treatment (vaccine) initiation.

y2 showed an increase/decrease ratio of (+105/-16) which means

• 86.78% of statistically significant countries showed an increase in total cases per million of COVID-19 due directly to the causal impact of treatment (vaccine) initiation.

Causal impacts of the treatment on y1 ranges from -19% to +19015% with an average causal impact of +463.13%. Causal impacts of the treatment on y2 ranges from -46% to +12240% with an average causal impact of +260.88%. Hypothesis 1 Null can be rejected for a large majority of countries.

This study subsequently performed correlational analyses on the causal impact results, whose effect variables can be represented as y1.E and y2.E respectively, with the independent numeric variables of: days elapsed since vaccine rollout began (n1), total vaccination doses per hundred (n2), total vaccine brands/types in use (n3) and the independent categorical variables continent (c1), country (c2), vaccine variety (c3). All categorical variables showed statistically significant (avg. p: < 0.001) postive Wilcoxon signed rank values (y1.E V:[c1 3.04; c2: 8.35; c3: 7.22] and y2.E V:[c1 3.04; c2: 8.33; c3: 7.19]). This demonstrates that the distribution of y1.E and y2.E was non-uniform among categories. The Spearman correlation between n2 and y2.E was the only numerical variable that showed statistically significant results (y2.E ~ n2: ρ: 0.34 CI95%[0.14, 0.51], p: 4.91e-04). This low positive correlation signifies that countries with higher vaccination rates do not have lower values for y2.E, slightly the opposite in fact. Still, the specifics of the reasons behind these differences between countries, continents, and vaccine types is inconclusive and should be studied further as more data become available. Hypothesis 2 Null can be rejected for c1, c2, c3 and n2 and cannot be rejected for n1, and n3.

“Untruth naturally afflicts historical information. There are various reasons that make this unavoidable. One of them is partisanship for opinions and schools. If the soul is impartial in receiving information, it devotes to that information the share of critical investigation the information deserves, and its truth or untruth thus becomes clear. However, if the soul is infected with partisanship for a particular opinion or sect, it accepts without a moment’s hesitation the information that is agreeable to it. Prejudice and partisanship obscure the critical faculty and preclude critical investigation. The result is that falsehoods are accepted and transmitted” — Ibn Khaldun, 1379 A.D.