JAB BIOMARKERS - EXPLAINED

Many of you are worried about your risks of a bad outcome if you get COVID or the JAB. Just yesterday I did a session with a young lady who got the JAB and experienced a number of adverse effects. They included: possible endocarditis and eruption of a number of gut symptoms including acid reflux.

Here is our latest video explain some of the biomarkers:

https://rumble.com/vntw93-spike-risk-biomarkers.html


In general, what Dr. Carter and I am noting, is that either hidden or existing symptoms tend to get worse when you are exposed to the spike protein. We don't have enough data, yet, to draw definitive conclusions. However, the emergence of symptoms appears to be beyond coincidental.


Dr. Carter emphasizes that avoiding exposure from the virus is all but impossible. I believe getting the "vaccine" is a person choice. However, as a medical data scientist, I have two suggestions:

  • Understand and work to improve you underlying risks. If you have a chronic condition or any type of "co-morbidity." Take action to measure and improve your health. We offer broad and deep measurement of your risks that always includes actions to make corrections. Many people may not have a diagnosis or obvious symptoms but our assessment of your health will illuminate risks.

Dr. Trempe, my mentor from Harvard, consistently emphasized the concept of the "apparently well." People in this classification are at risk but may NOT be aware of their health status. A poignant example is Bernard Tyson, former CEO and Chairman of Kaiser Permanente. He died of a massive heart attack at the age of 60.


  • If you decide to get the "vaccine," make sure you have done all to optimize you health in advance. My personal approach is to delay getting this jab for as long as possible so that more data is available to make the safest choice possible. I had COVID way back in February of 2020 - thank you MB!

 

I strongly believe that the SARS-CoV-2 virus responds more to innate immunity compared to the flu. The evidence, which is admittedly incomplete, asserts that mortality in young children - ages 0 - 5, for example - is quite low in COVID but quite high in the flu. What is the difference?

 

Children are generally born with a strong innate immune system but an undeveloped adaptive immune system (antibodies). Here are a couple of links on this topic:


Title: Comparing the Risk of Death from COVID-19 vs. Influenza by Age.

Link: https://freopp.org/comparing-the-risk-of-death-from-covid-19-vs-influenza-by-age-d33a1c76c198


Title: Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study.

Link: https://www.thelancet.com/article/S2213-2600(20)30527-0/fulltext


Title: New York Magazine article on children’s risks from COVID-19 is accurate

Link: https://healthfeedback.org/claimreview/new-york-magazine-article-on-childrens-risks-from-covid-19-is-accurate-but-more-context-regarding-difference-in-risk-between-young-and-older-children-would-be-helpful/

 

I remain suspicious of ALL sources of information. The only time I'm reasonably comfortable is when the raw data is published that I can analyze. My experience is that the headlines seldom reflect the true meaning of the data. And, this is not just me drawing this conclusion. Would you trust a Chaired Professor of Medicine from Stanford? Meet Dr. John P. A. Ioannidis.


He published the following article in 2005 - and his worldwide lectures are extremely well attended:

Why Most Published Research Findings Are False

https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124


Here is the summary from his paper:

There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. 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. In this essay, I discuss the implications of these problems for the conduct and interpretation of research.

 

I do my best to be unbiased. However, my conclusions are - at best - as good as the data. And that data is, IMHO, inadequate regarding the Spike / Jab - anything COVID - at this point.


What I DO know for certain: You have some level of control over your health and outcomes. And, I believe that "some" level is actually QUITE SUBSTANTIAL. So in a world of great uncertainty - start here:


https://www.healthrevivalpartners.com/product-page/post-vaccine-risk-biomarkers


 

Look below to find the times and links to our weekly webinars....


What is the Chronic Disease Support program?

1. It is a weekly live, interactive, 1h, webinar on Zoom covering important health-related topics.

2. The schedule is Tuesday at 8 pm EST. The topic is the same at both times/dates. We offer 2 times per week to accommodate schedules.


Monday Zoom Link (12 noon EST):

https://zoom.us/j/99724146059?pwd=ZWNYSTc1OVo1OU5uLy81MzJ6UkVsQT09


Tuesday Zoom link (8pm EST):

https://zoom.us/j/92478455665?pwd=Qzg5U1Y0VkVWazVwMmVqZVhZMlhrdz09


copy and paste to your browser at the designated time to join.


Archived videos are found at https://www.youtube.com/channel/UCd_LYVg22017AkE1GfKa4_A

Except those associated with the vaccines

 

Stay Well







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