Difference between revisions of "Application for Secular/Religious Exemption from Mask/Vaccine Mandate - Section Two, The Evidence"

From SaveTheWorld - a project of The Partnership Machine, Inc. (Sponsor: Family Music Center)

(Vaccines Kill)
(Censorship)
Line 1,308: Line 1,308:
 
However, in the VAERS reports September 3, 2021, there were a total of [https://openvaers.com/covid-data 11,793 individuals who suffered heart attack, myocarditis or pericarditis] in the nine months that the vaccine had been administered. [https://www.bhf.org.uk/informationsupport/coronavirus-and-you The effect of COVID-19 on the heart is well documented]....
 
However, in the VAERS reports September 3, 2021, there were a total of [https://openvaers.com/covid-data 11,793 individuals who suffered heart attack, myocarditis or pericarditis] in the nine months that the vaccine had been administered. [https://www.bhf.org.uk/informationsupport/coronavirus-and-you The effect of COVID-19 on the heart is well documented]....
  
=Censorship=
+
=Part 5 - Science Doesn't Censor=
  
 
===Worldwide Censorship: Dr. Malone explains how it's done===
 
===Worldwide Censorship: Dr. Malone explains how it's done===

Revision as of 20:10, 2 September 2022

Forum (Articles) Offer Partners Rules Tips FAQ Begin! Donate

Continued from Application_for_Religious/Secular_Exemption_from_Mask_Vaccine_&_testing_Mandates Section One: The Religious Basis

TrustJesusTransparentSmall.gif

     This article was started by Dave Leach R-IA Bible Lover-musician-grandpa (talk) 02:25, 1 October 2021 (UTC)
     Please interact! To interact with any particular point made here, simply click "edit", then right after that point, type four dashes (to create a horizontal line), hit "enter" to start on the next line typing your response, then close with four tildes which will leave your real name, time etc.; then on the last line, four more dashes.
     To vote, Like, rate, argue, change your past comment, add a section with a heading that appears in the Table of Contents, start a new article, use colors, write in Greek, etc. find suggestions and codes at Begin!
SinTiny.gif

Contents

Part 1 - Masks Clearly Reduce Covid: DISproved

Introduction

Quickies

“Are you tired of masks yet?”

I found out that if that’s how I begin the subject with doctors and nurses, they’re solidly on my side and I can share what I have found and they are interested in reading it, and in telling me about these people who are signing letters to me. “Oh, I’ve hated masks from day one!” is my favorite response.

This works much better than “Have you read the Bangladesh and Denmark studies showing masks don’t slow covid?” That word combination seems to trigger eye rolling like tapping a knee cap with a rubber hammer. It makes them defensive, which I had mistaken for apathy. How can I be so old and still have so much to learn?!

Humans are complicated. Statistics math is complicated. Put the two together and you have a mess. Besides being complicated, humans are not always entirely honest. If humans were scrupulously honest and life were simple, this article would be a lot shorter.

And less interesting.

Let’s begin with:

  • a summary of what the research shows. Followed by
  • responses to this evidence from hospital administrators at the VA and Broadlawns. THEN
  • reasons to read the research itself – not just abstracts (summaries) , articles about it, salesmen who claim they read it, or TV ads claiming to report it. Not just doctors need to read it: but anyone who cares enough about the fate of modern medicine to reason with doctors and lawmakers. Practical reasons. Even inspirational reasons from Scripture to acquire all the wisdom we can. THEN
  • quotes from the research to show where you will find what this summary claims. FINALLY
  • a few other mask studies that aren’t RCT’s, but are pretty compelling. AND THEN

I hope you will read the research itself, watch for these things, and let’s talk.

Preview of Research Results Reviewed in this Article

Wearing a mask all the time reduces the risk of getting covid by one tenth of one percent. (Actual Risk Reduction, ARR, is easy to understand: it is simply the difference between the sick rates of those wearing, and not wearing, masks. Subtract the percentage of maskers who got sick – 0.68% in Bangladesh, from the percentage of nomaskers who got sick – 0.76%. The answer: 0.08% in Bangladesh – LESS than 0.1%. That’s the ARR: how much masks reduce your risk of covid. [Others have ARR stand for Absolute Risk Reduction. They also call it the “Risk Difference”. The Denmark researchers called it the “Between-group difference.” I think “Actual Risk Reduction” most clearly describes what it is.]) That is, 0.1%. In Bangladesh the result was even less: 0.08%. The figure looks even worse if you write it without the % sign: 0.0008. You reduce your chance of getting covid by 0.0008 if you wear a mask all the time. THAT MEANS:

One thousand people need to wear masks all the time to prevent one person from catching covid. (That number is called the Number Needed to Treat (NNT.) If the death rate is 1% of those infected (without comorbidities – other serious conditions equally responsible for death) THEN:

100,000 people need to wear masks all the time to prevent one covid death. (If we can trust that 0.1% is outside the margin of error. But we can’t. More about that later.)

By contast, the chance of being struck by lightning during your life is one in 15,300, and one in ten who are struck by lightning die therefrom, but government doesn’t make us all wear rubber suits our whole lives to reduce that risk. (Yet.)

Maybe every 100,000 maskers save TWO lives. Probability calculations indicate that 100,000 people, wearing masks all the time, might prevent as many as TWO covid deaths. Maybe 100,000 people wearing masks all the time, will prevent 200 people from getting covid, which would prevent two covid deaths.

There is an equal chance that they don’t save anyone from anything. Probability calculations leave it uncertain whether wearing masks makes any difference at all in the number of people who get covid, and who die. It is almost as probable that masks kill! (The “Confidence Interval” on the 0.1% Denmark ARR stretches between a 46% reduction in sickness and a 23% increase!)

These statistics are from the only two RCT’s that measured actual covid transmission with real people, in Denmark and Bangladesh. Their covid reduction rates are nearly identical. So said the Cato Institute in its analysis of many mask studies. So said Martin Kulldorff, director of the Brownstone Institute. 0.1% benefit, maybe; maybe zero. So said the Denmark researchers.

Yet the Bangladesh researchers said their virtually identical percentages prove masks slash the risk of covid by 10%! One hundred times more than Denmark’s measly 0.1%!

“Masks reduced the sick rate by 10%!” Doesn’t that make you thank God for masks? “The percentage of maskers that got sick was 10% lower than the percentage of nomaskers that got sick!”

Small ARR v RRR in Bangladesh and Denmark graph.jpg

But here is some context: “Masks reduced the sick rate by 10%. But since 99.24% of those not wearing masks remained healthy, and only 0.76% got sick, that 10% Sick Rate Reduction only reduced the sick rate of those wearing masks down from 0.76% to 0.68%. The difference, 0.08%, is the Actual Risk Reduction that people wearing masks all the time earned for themselves. Those without masks have a risk of 0.76% of getting covid. Wearing masks drops that risk down to 0.68%. Less than a tenth of a percent.”

You won’t see that context in a TV ad! You won’t see “Masks reduced the risk of getting covid by only one tenth of one percent.” You will see the 10% claim! 100 times more impressive!

What a difference that makes in whether patients will buy your drugs! Researchers “found that the framing of benefit or risk in relative versus absolute terms [Sick Rate Reduction v. Actual Risk Reduction] may have a major influence on patient preference. The medication whose benefits were expressed in relative terms [SRR] was chosen by 56.8% of patients, whereas 14.7% chose the medication whose benefit was expressed in absolute terms. [ARR] Malenka DJ, Baron JA, Johansen S, et al. The framing effect of relative and absolute risk. J Gen Intern Med 1993;10:543–8.”

Doesn’t it help you understand how much masks benefit, to know how many get sick without them? (Comparing the sick rates of the maskers and nomaskers, without telling what either sick rate is, is a calculation I call the “Sick Rate Reduction” but which others call the “Relative Risk Reduction”. It tells you only the risk rate reduction of maskers relative only to the risk rate of nomaskers. It leaves out the fact that 99% of nomaskers ever got sick, leaving the risk of covid for nomaskers at less than 1%, making it mathematically impossible for their risk to be reduced more than a fraction of 1%.

(“Sick rate” is not an official term. I made it up myself. I wanted an explanation of RRR’s and ARR’s so simple that even I could have understood it the first time I read about them. By “sick rate” I mean the percentage of the people in the group that got sick. The sick rate of Bangladesh nomaskers was 0.76%. 0.76% of the nomaskers got sick. The sick rate of maskers was 0.68%. The Actual Risk Reduction is simply the difference between those two percentages. Subtract 0.76% minus 0.68% = 0.08% That is how much you reduce your risk by wearing a mask, from not wearing a mask. The Sick Rate Reduction is the percentage that that difference [ARR] is of the nomask [control, or untreated] percentage. Divide that difference [ARR] into the nomask percentage. 0.76% divided by 0.08% = 9.5%. Over 100 times greater!

(What a difference it makes whether you subtract or divide!

(When the sick rate is high, the SRR can be useful. But when the sick rate of “controls” - those not being treated; those not wearing masks – is not even 1%, the Relative Risk Reduction can easily be 100 times higher than the actual risk reduction, which is grossly misleading when reported without the ARR.

(But grossly misleading is good, if you are a mask salesman.

(Another way to describe the difference between ARR and SRR: The SRR compares the sick rate of maskers with only the sick rate of nomaskers. The ARR compares the sick rate of maskers with the sick rate of nomaskers, and compares both sick rates in the context of the health rates – the percentage of people who never got sick.

(You can see how it is possible to have a reasonably impressive Sick Rate Reduction, ie 10% fewer maskers got sick than nomaskers, while ignoring the 99%+ of both groups who never got sick, which shows that your actual ARR, Actual Reduction, is a tiny fraction of one percent.)

That is the spin that the CDC quoted.

CDC: In villages receiving mask interventions, symptomatic [where there are symptoms] seroprevalence [where covid infection is confirmed by blood tests] of SARS-CoV-2 was reduced by approximately 9% relative to comparison villages. In villages randomized to receive surgical masks, symptomatic seroprevalence of SARS-CoV-2 was significantly lower (relative reduction 11.1% overall). The results of this study show that even modest increases in community use of masks can effectively reduce symptomatic SARS-CoV-2 infections.

Yet in another place the Bangladesh researchers posted a calculation not far from a 0.1% ARR: they figured it would take 35,001 people wearing masks to prevent one covid death!

There is enough confusion about these calculations that entire peer-reviewed articles examine them. Peer-reviewed published studies find that nearly half of other peer-reviewed studies fail to meet standards for peer-reviewed studies requiring that abstracts – the summaries that always begin the studies – honestly report the ARR (Actual Risk Reduction, which in Bangladesh was 0.08%, plus or minus 0.08% - reduced risk of getting covid by wearing masks all the time) and not just the misleading SRR (The difference between sick rates, divided into the highest sick rate, tells how many % the lower sick rate is than the higher sick rate. 10%, in Bangladesh.)

Responses to this evidence from Hospital Administrators

Were the problem my medical incompetence, lacking any medical credentials, rendering me unable to read and understand the Bangladesh and Denmark studies, (a concern ever present with me which makes me spend hundreds of hours double checking math and analyzing reasearch), you would think something about that would have been mentioned in the responses from the CEO of Broadlawns and the administrator of the Veterans Administration Medical Center when I presented the evidence to them. But they offered no corrections of the evidence. They simply expressed no interest in it.

The administrator of the Veteran’s Administration Medical Center answered me December 23, 2021 through Laurel Williamson, privacy officer, “After reviewing your request with both the Medical Center Director as well as the regional counsel, [they didn’t ask doctors if the research supports masking, but only lawyers if the law supports masking], it was determined that the facility mask policy is in line with Executive Order 13991 [signed by Biden during his first day in office] and is consistent with Centers for Disease Control and Prevention guidelines.”

The CEO of Broadlawns, Anthony Coleman DHA, wrote to me July 2, 2022 in response to research I cited establishing an insignificant tenth of a percent of risk reduction from masks: “While we cannot quantify how effective it is to wear a mask, [yes we can: 0.1% risk reduction, give or take 0.1%] we know it offers some protection, [zero research supports such confidence] while not wearing one offers none.”

Why is that his response to the evidence I sent him that two large RCT’s established exactly how much protection we can expect from masks: somewhere between 0.2% risk reduction and zero, or even an increase in sickness?

A Trustee on the Broadlawns Board of Trustees, Janet Metcalf, wrote to me June 28, 2022, in response to the same evidence: “The Board of Trustees does not make decisions for individual patients.” Huh? the elected board members feel no responsibility for putting policies in place that meet individual needs? Well fine. It was selfish of me anyway to ask the hospital to “follow the science” only in my case. So here is some science. How about following it for everybody?

Even when my concerns reach hospital administrators, not a word about evidence!

I should be able to walk up to any information desk in any hospital, ask “can you show me the evidence that these masks which you require reduces covid infection, in the face of the Bangladesh and Denmark RCT’s which find they don’t?” and the receptionist should be able to hand me a stack of research as she says “Sure!”

I am their patient: aren’t doctors used to summarizing research for patients to help them understand treatment options? Why no “informed consent” for any patient who asks about an intervention not just offered' but imposed on every patient?

Evidence challenging a nation-wide, hospital-wide mandate, triggers not correction, or change, but apathy.

This apathy is turning me, in the company of many others, into an extremist. What distinguishes modern medicine from the cocaine-laced “snake oil” sold by the buckets in “medicine shows” a century ago? Isn’t it attention to research? To the extent hospitals ignore research, and not on some obscure intervention [treatment] but an intervention that affects everybody, what is happening to modern medicine? How many other interventions have no rational basis, even before you consider alarming side effects? What will be left of modern medicine for my grandchildren?

Why YOU need 4 U 2 Read the Research Itself

Deuteronomy 19:15  One witness shall not rise up against a man for any iniquity, or for any sin, in any sin that he sinneth: at the mouth of two witnesses, or at the mouth of three witnesses, shall the matter be established.

You need to read the research itself because the people you assumed were taking care of the need for you are too busy, and sometimes, too confused.

There are four subheadings in this section.

Peer-reviewed Violations of ARR v. RRR Standards. Reporting the ARR, and not just the RRR, is among the standards for peer-reviewed studies, which at least a quarter of them violate, according to an article in Oxford Academic.

SRR = Sick Rate Reduction. ARR = Actual Risk Reduction. I really think the terms ARR and RRR, themselves, fuel the confusion. Too hard to explain, and once explained, to remember. I propose their replacement with “Reduced Sick Rate” and “Actual Risk Reduction”.

RRR v. ARR Explanations. My solution is followed by a few efforts by others to explain ARR and RRR.

500 doctors want to know notes what a few others say about confusion among busy doctors. The subsection begins with a blog by that title.

Peer-reviewed Violations of ARR v. RRR Standards

The source of these excerpts: “Relative risk versus absolute risk: one cannot be interpreted without the other”, by Marlies Noordzij, Merel van Diepen, Fergus C. Caskey, Kitty J. Jager, Nephrology Dialysis Transplantation, Volume 32, Issue suppl_2, April 2017 [www.academic.oup.com/ ndt/article/32/suppl_2/ii13/3056571#64437158 Oxford Academic].

“In 1996, the first version of the Consolidated Standards of Reporting Trials (CONSORT) statement was published to improve the quality of the reporting of the results of RCTs. A second update of the guideline—published in 2010—recommends that both the relative effect and the absolute effect should be reported with their confidence intervals, as neither the relative nor the absolute measure alone gives a complete picture of the effect and its implications. In addition, the study group recommends that ‘for binary outcomes, the denominators or event rates should be reported so that readers can understand how risk ratios and risk differences are calculated’. So, results should not be presented solely as summary measures, such as relative risks.

“The ‘Strengthening the Reporting of Observational studies in Epidemiology’ (STROBE) statement for the reporting of results from observational studies such as cohort studies and case-control studies was published in 2007 [16, 17]. This guideline recommends ‘to consider translating estimates of relative risk into absolute risk if this is possible’. Although these two widely accepted and applied statements for the reporting of studies give clear recommendations about the reporting of relative and absolute measures of risk, it seems that not all their recommendations are very well adopted in practice. This was confirmed by a recent study by Rao et al. showing continuing deficiencies in the reporting of STROBE items and their sub-criteria in cohort studies focusing on chronic kidney disease. Their study demonstrated weak evidence of improvement in the overall reporting quality of cohort studies in nephrology between the period before and after publication of the STROBE statement.”

The authors summarize the issue: “When the outcome is rare in the general population, a large relative risk may not be so important for public health.”

They give an illustration from news headlines: “in 2013 newspapers reported a ‘70% increase in cancer risk’ among females exposed as infants to the Fukushima Daiichi nuclear disaster in Japan in 2011. This relative risk was drawn from statistics showing that about 1.25 out of every 100 girls (1.25%) in the area developed thyroid cancer due to the radiation exposure, instead of the natural rate of about 0.75%. Indeed, this is an increase of almost 70%. However, experts from the World Health Organization correctly emphasized that due to the low baseline rates of thyroid cancer, even a large relative increase represents a small absolute increase in risks of 0.50%.”

Violations of standards have been cataloged: “In 2011, Hochman and McCormick published a systematic review on endpoint selection and relative versus absolute risk reporting in published medication trials. For this purpose they analysed all randomized medication trials published in the six highest impact general medicine journals between June 2008 and September 2010 and determined the percentage of papers reporting results in the abstract [the introductory summary] only in relative terms.

“Of the 316 identified trials, 157 reported positive and statistically significant findings. Nevertheless, 69 (44%) of these positive trials reported only relative and no absolute measures of risk in their abstract.

“Similar findings were reported by Schwartz et al., who performed a survey of abstracts [the introductory summary] of 222 articles published in leading medical journals. They found that this problem was even larger in observational studies than in RCTs; in 62% of abstracts of randomized trials both relative and absolute risk measures were given, while this was only the case in 21% of abstracts of cohort studies.”

Missing Placebos, Missing Alternative Treatment

Neither the Denmark nor the Bangladesh studies had a placebe group; just a “control” (untreated) and a Treatment group. Nor did either study compare masks with any alternative way to address covid risk.

Normally a proper RCT (Randomized Controlled Trial) has a placebo group. The best RCT’s also compare a treatment with alternatives. So observes ValueInHealthJournal.com:

“The main difficulty in the comparison of different treatments lies in the fact that they are almost never compared, in a preplanned study, against each other. Instead, most studies compare the new treatment with a placebo.” ValueInHealthJournal.com

Placebo pills are easy. Patients have no way to tell what is inside the pill they are given. But how do you pass out placebo masks? How do patients not know if a mask is phony?

Well, there are actually masks sold which promise not to restrict the air flow at all, but only to fool mask checkers at hospital doors. I haven’t seen and felt them, so I have no sense of whether their use as placebos could fool anybody. Especially now that almost everyone in the world has worn paper or cloth masks. Perhaps the placebo group could be told they are testing a new mask with greater air flow but with special properties that zaps germs.

Gosh, do I actually hear myself suggesting to doctors how to trick people?!

How Pfizer used RRR’s to Fraudulently Inflate its Success

From Straight2Point.info

“The RCT method was applied to the Pfizer-BioNTech vaccine trials. The investigators randomly assigned 21,720 subjects 16 years and older to receive two doses of the new vaccine, and 21,728 subjects to receive two doses of placebo. They followed the subjects for a median of two months after the intervention. 

“The trial compared the case numbers in the vaccinated vs control (placebo) groups where a case of COVID-19 was defined as an individual who experienced symptoms and had a positive test for SARS-CoV-2 infection. This is arguably a weak endpoint, as incidence of severe disease and death, the very outcomes one would hope the vaccine prevents,  were not considered.  Other data was collected, including the incidence of serious side effects. 

“The trial reported eight cases of COVID-19 (as defined above) among the immunized group and 162 in the placebo group. So, the risk of COVID-19 in the immunized group was 8/21,720 = 0.037%, and the risk in the unimmunized group was 162/21,728 = 0.745%. The ARR is defined simply as the difference in risk between the two groups. In this case it would be = 0.745% – 0.037% = 0.708%; we will round it to 0.7%. The RRR is the ARR expressed as a percentage of the absolute risk of disease in the unvaccinated. [In other words, the percentage the vaccinated suffer, of the sickness that is suffered by the unvaccinated?] In this case, it is = 0.708/0.745 = 95%. [CER-EER/CER] This RRR is what is reported (this is standard practice) as the “efficacy” of the vaccine.

“The vaccine appeared to reduce the relative risk of COVID-19 (as defined by Pfizer) by an estimated 95% over the short duration of the trial, but the interpretation of that number is not that simple. 

“Firstly we must understand the role of statistics here. If you toss a coin 10 times you would expect to get 50% heads and 50% tails on average. In practice, however, it would not be too surprising to obtain 7 heads and 3 tails in any 10 tosses of the coin. There are similar considerations that apply to any medical trial. Although the headline figure here is a 95% relative risk reduction, how confident are we that this figure is close to the truth? If we had run the trial at another time, might we have only recorded a value of 90% for the RRR? So any quoted reduction must also come with some indication of how “good” that number is. While the Pfizer trail had 40000+ participants, relatively few were infected with COVID, leaving the conclusions to be based on small numbers. 

“In order to determine if the administration of the vaccine to the population is really beneficial, we also need to consider the actual risk of disease in those who did not receive the intervention. To illustrate with an exaggerated example, if the risk of acquiring a disease is only one in a million, reducing it by half, to one in 2 million is not a big deal. If, however, the risk of acquiring a disease is 30%, reducing the risk  to 15% is very significant. If our proposed experimental treatment caused side effect deaths at a rate of one in a million we would be hesitant to recommend it in the above example, but we would be much more likely to recommend it for the latter.

“[Pfizer’s result] appears to be an impressive result, as there are more cases in the placebo group RELATIVE to the vaccinated group. But note the Y axis only goes to 2.5% – so that in total 2.3% of placebo patients became ill versus .3% of vaccinated patients. If we look at the ABSOLUTE RISK of each group, the results look far less impressive....

“...whilst we want to save lives, we also recognize that the vaccines, like all medical interventions, are not free from serious side effects. Even though only a small percentage suffer such effects, we must weigh this against the fact that we are also dealing with mostly small percentages of people (depending on personal risk factors) who die from COVID-19. The ARR and RRR are both important parameters that help us in addressing these complex issues.

“This illustrates why considering the ARR may be helpful. In the Pfizer clinical trial mentioned above, the risk of COVID-19 = 0.75%; so, reducing this risk by 95% does not seem like a very impressive effect.

“Whilst it is important to determine whether the  vaccines are effective at reducing infection, it is equally important to know whether they improve health outcomes overall – is the benefit sufficient to justify the potential risk? For example, in the vaccine trial discussed above, there were 262 serious adverse events noted in the vaccinated group and 172 serious adverse events noted in the placebo group (which admittedly seems odd as one wouldn’t expect a saline injection to produce any adverse events). [Actually placebo groups often report side effects. Interesting.] Given that, for the vast majority, COVID-19 is not a serious illness, adverse events arising during the trials should also factor into our decision about overall suitability of the proposed measure. 

“The logical conclusion is that the RRR and ARR of an intervention (in this case a vaccine) reported in a RCT should be interpreted carefully when making decisions about the desirability of implementing the intervention in the general population. It is not sound public health practice to say: ‘This vaccine is 95% effective, so let’s give it to everyone’.”

CDC Perversion of Reality

From pubmed

“A 2018 review of 52 randomized trials for influenza vaccines that studied over 80,000 healthy adults reported an overall influenza vaccine EER [experimental event rate] of 0.9% and a 2.3% CER, [control event rate] which calculates to a RRR of 60.8%. This vaccine efficacy is consistent with a 40% to 60% reduction in influenza reported by the Centers for Disease Control and Prevention (CDC).

“However, critically appraising data from the 2018 review shows an overall ARR of only 1.4%, which reveals vital clinical information that is missing in the CDC report. A 1.4% ARR works out to a NNV [number needed to vaccinate] of approximately 72 people, meaning that 72 individuals need to be vaccinated to reduce one case of influenza. By comparison, Figure 2 of the present article shows that the NNV for the Pfzier-BioNTech and Moderna vaccines are 142 (95% CI 122 to 170) and 88 (95% CI 76 to 104), respectively.”

SRR = Sick Rate Reduction. ARR = Actual Risk Reduction

The more I stare at the standard terms, the more I think the terms themselves are a large part of the problem. RRR, Relative Risk Reduction, and ARR, Absolute Risk Reduction, are certainly confusing enough that the average voter and lawmaker has no idea what they mean, and how they differ, without explanation; and without quite a lot of explanation, and continual explanation, because even after explanation, the word choices do not easily match what they are.

It is much easier to give examples showing to what the terms refer, than to extract that meaning from the terms themselves.

Relative? Absolute? I have spent many hours reading explanations of these terms, and trying to distill them into an explanation into which the terms “relative” and “absolute” flow naturally, and I still can’t do it, and haven’t read where others could. I don’t recall an explanation of ARR that had the word “absolute” as part of the explanation. “Relative” is a little easier to wrestle with: the RRR is the reduction experienced by the treated group relative to only the control group, but I doubt if anyone unfamiliar with the subject could make sense of that explanation either.

The closest I can come to justification for the terms is to note that “Relativism” is a religion that believes there is no “absolute” truth, or “right and wrong” in any absolute sense, but only “your religion may be right for you, but my religion is right for me”. “Relativists” apply this to objective Truths as defined by the Bible about how to live and behave. But when it comes to making a phone app work, or the rules of a video game, they believe in objective truth like the rest of us.

The connection between Relativity and the use of the terms RELATIVE Risk Reduction and ABSOLUTE Risk Reduction is remote, but one commonality is their mutual use to justify fraud. Both promote evil, and call it good. Isaiah 5:20  Woe unto them that call evil good, and good evil; that put darkness for light, and light for darkness; that put bitter for sweet, and sweet for bitter!

Outside their misuse by Relativity and in the terms Relative Risk Reduction and Absolute Risk Reduction, the words “relative” and “absolute” are useful, valuable terms. They just don’t belong here.

The RRR should not have the word “risk” in it because it is at best an indirect measure of actual risk, and at worst has a prolific record of misleading people about actual risk, including doctors and even peer-reviewed researchers. The word “risk” in both the RRR and the ARR creates mental pressure in the uninitiated to understand in what sense the RRR “risk” is different than the ordinary meaning of the word “risk”, an understanding not present in the word “relative”. What it is “relative” to requires too much explanation, and once explained, is too hard to remember.

I think “Sick Rate Reduction” is a term that makes sense to voters and lawmakers with almost no explanation. It is a “rate” reduction, meaning a specific mathematical relationship whose significance will be affected by a factual or mathematical context, as opposed to being stand-alone information of value without further context. A “rate” is clearly distinct from “risk”. “Risk” means a fully processed conclusion ready to warn average readers and patients, with no further mathematical context.

I still haven’t figured out what “absolute” means in this context, where it is tasked with distinguishing itself from an RRR. But “Actual” has a clear meaning to anyone, and further distinguishes the ARR’s superior value in providing an honest grasp of risk. This word substitution allows the abbreviation to be retained with its current meaning, and will only replace “absolute” with “actual” to make it understandable. Sick Rate Reduction, SRR, is a term with only 9 Google returns, only one of which was in medicine, unless you count sick pigs in which case there were two. The term was not capitalized, indicating it was not recognized as a recognizable term with probable idiomatic additional meanings but was used for its clarity and simplicity of meaning. It is thus a term that won’t be confused with some other meaning. As for the abbreviation SRR, the other uses of that abbreviation I found at abbreviations.com all have meanings in narrow fields, none of which is medicine.

RRR v. ARR Explanations by Others

Dr. Phillip Lee Miller

writes, “I am always waiting for that ‘aha moment”’when you understand how relative risk management is chicanery.  It is used to sell you product.  To amplify, inflate or conflate results.” He says most doctors just read “an abstract of the results of the study.  And so frequently that is all you will see and believe.  Because most people, including even most physicians, will not read or analyze the paper.  We are too busy.”

He quotes from a book he recommends. He says “The relative risk reduction looks more impressive than absolute risk reduction. Relative risks are larger numbers than absolute risk and therefore suggest higher benefits than really exist.”

He explains the difference between ARR (Absolute Risk Reduction) and RRR (Relative Risk Reduction) and concludes “This is how they fool you.  The relative risk reduction is independent of the sample size.”

The RRR Scam in peer-reviewed literature

“The framing of benefit or risk in relative versus absolute terms [RRR v. ARR] may have a major influence on patient preference. The medication whose benefits were expressed in relative terms was chosen by 56.8% of patients, whereas 14.7% chose the medication whose benefit was expressed in absolute terms.” That was the finding of Malenka DJ, Baron JA, Johansen S, et al. The framing effect of relative and absolute risk. J Gen Intern Med 1993;10:543–8. I found the stat at article/S1098-3015(10)60033-2/pdf?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1098301510600332%3Fshowall%3Dtrue ValueInHealthJournal.com.

Should you wear a rubber suit to protect yourself from lightning?

This illustration of the difference between ARR’s and RRR’s is posted at Straight2Point. This is my summary:

Extreme examples often help explain technical ideas.

The Acme Rubber Company made hooded rubber suits to protect people who are struck by lighting. They advertised that “our suits slash your risk of dying, when you are struck by lightning by 100 to 1! For every 100 deaths by lightning in non-suit wearers there is only one death in suit wearers!” That is the RRR, the Relative Risk Reduction. Who wouldn’t want to reduce their risk of dying, while being struck by lightning, to 1% of the death rate of non-rubberized citizens? The suits are a hundred times more effective!

But your chance of being struck by lightning during your lifetime is one in 15,300. And only one in ten who are struck by lightning are killed by it, so your chance of being killed by lightning drops to one in 153,000.

There are about 27 lightning fatalities a year in the U.S. So if your new rubber suit can slash your risk from one in 153,000 to one in 15,300,000, your ARR, the amount of risk you reduce by wearing a rubber suit all the time, is 0.0000065359% - 0.0000000653% = 0.0000064706%. (I think. Actually when I checked this on my calculator it shorted out.)

So you can see how much better a salesman you are to advertise that your rubber suit makes you 100 times safer when you are struck by lightning, than to say “our suits reduce you risk of death from being struck by lightning by 0.0000064706%!”

The ARR is a valuable measure of whether wearing a rubber suit, or wearing a mask, is worth doing. The SRR is a valuable sales tool for getting you to do it.

Bangladesh covid sick rates of both maskers and nomaskers were less than 1%. The difference between them, the ARR, was only a tenth of one percent. The researchers never reported that figure. The reported the SRR, the ratio between the two sick rates without the context of both of them being less than 1% out of the whole groups. The SRR was 100 times greater. The CDC likewise quoted the SRR, not the ARR, from Bangladesh. Denmark's research produced a nearly identical SRR and ARR but the researchers only reported the ARR and never mentioned the SRR. That caused a delay of several months before any peer reviewed journal would publish it, and it caused the CDC to not report its findings but only to denigrate them as "small" and "inconclusive".

(Lightning stats: https://www.erieinsurance.com/blog/struck-by-lightning, https://www.weather.gov/safety/lightning-odds)


500 Doctors Want to Know

A statistician [I guess that he was] blogged that 500 Doctors Want to Know if it is really true that reporting only the RRR is misleading. He said a doctor wrote to him about an article explaining how Pfizer covid vaccine reports mislead by reporting only the RRR: “What are your thoughts on this paper?....There are many of us MD’s who are quite foxed. If you blog about it, please don’t mention my name and just say a doctor on a 500-member listserv asked you about this. And send me the link to that blog article please. There are at least 500 of us doctors who would love to be enlightened.”

The paragraph asked about said a 2018 review of influenza vaccines by the CDC reported a 40-60% reduction in influenza, but that only compared the 2.3% sick rate for “controls” with the 0.9% rate for those vaccinated. The honest risk reduction was only 1.4%. “A 1.4% ARR works out to a NNV [number needed to vaccinate] of approximately 72 people, meaning that 72 individuals need to be vaccinated to reduce one case of influenza.” (A number of 20-50 is considered a good score.) “By comparison, ...the NNV for the Pfzier-BioNTech and Moderna vaccines are 142 (95% CI 122 to 170) [we can be 95% confident that the most people needed to vaccinate, to save one person from getting covid, is 170, and maybe it will only take 122] and 88 (95% CI 76 to 104), respectively. ”

The answer of the statistician concerns me more than that 500 doctors don’t know whether to be concerned that Pfizier and the CDC are fraudulently reporting RRR’s without ARR’s. He at least acknowledges that “Absolute risk does matter in some settings—for example, we wouldn’t be so article interested in a drug that prevents 50% of cases in a disease that only affects 2 people in the world.”

But he doesn’t seem to think that principle applies to mask studies where 99% of untreated people don’t get sick. Or, where 97.7% of them don’t get sick – he says the sick rate is 2.3%.

Well, wait: no, it’s not that he denies that rate is insignificant, but that he doesn’t believe that rate! He says “...coronavirus is not a rare disease. Presumably the rate of infection was so low in those studies only because the participants were keeping pretty careful, but the purpose of the vaccines is to give it to everyone so we don’t have to go around keeping so careful.”

What a reason to dismiss the results of a trial with thousands of participants, that is one of the mostly closely watched trials in medical history! (One of the “comments” posted after the Denmark study complained “This study received 90,000 tweets by 60,000 users within 4 days of publication. The majority of these tweets championed the study as evidence of the impotence of masks in the control of the COVID-19 pandemic.”)

He alludes to Wikipedia’s article. It says “Relative risk is commonly used to present the results of randomized controlled trials. This can be problematic if the relative risk is presented without the absolute measures, such as absolute risk, or risk difference. In cases where the base rate of the outcome is low, large or small values of relative risk may not translate to significant effects, and the importance of the effects to the public health can be overestimated. Equivalently, in cases where the base rate of the outcome is high, values of the relative risk close to 1 may still result in a significant effect, and their effects can be underestimated. Thus, presentation of both absolute and relative measures is recommended.”

I wish he gave an example of how RRR can cause an underestimation of benefit. It seems that the higher the sick rate

Part 2 - Masks Dangerously Reduce Oxygen: PROVED

Three published studies featured below detail the many serious medical conditions often caused by, and always contributed to by masks:

German Study: Is a Mask Free of Potential Hazards?

Face masks restrict oxygen, build up CO2: study

"Evidence that masks help is lacking. Their harms are established."

Harm to children from masks

From "Effects of Mask Mandates and School Closures", by Joseph Mercola, posted September 28, 2021 but removed two days later. 

"Data from the first registry to record children's experiences with masks show physical, psychological and behavioral issues including irritability, difficulty concentrating and impaired learning

"A late 2020 and early 2021 retrospective [Research Square, 2021; doi.org/10.21203/rs.3.rs-124394/v2 study,] shows that children have experienced great psychological, behavioral and physical harm from the mandates and lockdowns handed down during the COVID-19 pandemic. 

"...updated periodically through early 2021, [it] uses data from Germany's first registry showing the experience children are having wearing masks. Parents, doctors and others were allowed to enter their observations; the registry had recorded use by 20,353 people as of October 26, 2020.

"Editors have since added disclaimers to the text claiming "this study cannot demonstrate a causal relationship between mask wearing and the reported adverse effects in children," [but] as you can see, the data gathered on 25,930 children were specific and intriguing. The average time children were wearing a mask was 270 minutes each day.

[The consequences] '… included irritability (60%), headache (53%), difficulty concentrating (50%), less happiness (49%), reluctance to go to school/kindergarten (44%), malaise (42%), impaired learning (38%) and drowsiness or fatigue (37%).'

"Added to these concerning [psychological] symptoms, they also found 29.7% reported feeling short of breath, 26.4% being dizzy and 17.9% were unwilling to move or play. Hundreds more experienced "accelerated respiration, tightness in chest, weakness and short-term impairment of consciousness."

[Mercola's article next summarizes the Danish study which is described at the beginning of Section Two.] "The first randomized controlled trial evaluating the effectiveness of surgical face masks against SARS-CoV-2 was published in November 2020 in the Annals of Internal Medicine.

"During the trial, researchers evaluated more than 6,000 individuals and found that masks did not statistically significantly reduce the incidence of infection of COVID-19. Among the people who wore masks, 1.8% tested positive for SARS-CoV-2, compared to 2.1% among the control group.

[Next Mercola summarizes a study reported above, of covid incidence in mask mandate states vs. voluntary masking states.] "At the end of December 2020, researchers from Rational Ground revealed results of data analysis evaluating the use of masks from all 50 U.S. states.27 It was completed by data analysts, computer scientists and actuaries, who divided the information into states that had mask mandates and those that did not.

"They evaluated data from May 1, 2020, through December 15, 2020, and calculated how many cases per day occurred by population with and without mask mandates. Among states without a mask mandate, 5,781,716 cases were counted over 5,772 days, which worked out to:

"No mask mandates — 17 cases per 100,000 people per day

"Mask mandates — 27 cases per 100,000 people per day

The U.K.’s Health Security Agency (UKHSA)

in January published data that showed children who “never” or “sometimes” wear masks at work or school were less likely compared to those who “always” wear them.

There is mounting evidence that public health officials’ response to Covid-19 was not only futile, but it did lasting damage to an entire generation of kids

(The rest of this article summarizes the psychological and educational harm to students from "distance learning" and masks - not medical harm, but the hampered communication from the loss of facial expressions to supplement speech."

More masks, more deaths in Europe

April 19, 2022, National Institutes of Health,  PubMed.gov

"Correlation Between Mask Compliance and COVID-19 Outcomes in Europe" by Beny Spira

From the Abstract (Summary): "...countries with high levels of mask compliance did not perform better than those with low mask usage" according to "Data from 35 European countries on morbidity, mortality, and mask usage". In fact, "correlation...between mask usage and COVID-19 outcomes were either null or positive, depending on the subgroup of countries and type of outcome (cases or deaths)." In other words, depending on the country, more masks caused more covid in some places and more deaths in others, but never caused less of either.

Excerpts from the study: "the World Health Organization (WHO) as well as other public institutions, such as the IHME, from which the data on mask compliance used in this study were obtained, strongly recommend the use of masks as a tool to curb COVID-19 transmission [8,13]. These mandates and recommendations took place despite the fact that most randomised controlled trials carried out before and during the COVID-19 pandemic concluded that the role of masks in preventing respiratory viral transmission was small, null, or inconclusive."

..."studies, performed during the first months of the pandemic, comparing countries, states, and provinces before and after the implementation of mask mandates almost unanimously concluded that masks reduced COVID-19..." but that false impression may be because "mask mandates were normally implemented after the peak of COVID...at a time when the propagation of COVID-19 was already declining. Furthermore, the mask mandate was still in place in the subsequent autumn-winter wave of 2020-2021, but it did not help preventing the outburst of cases and deaths in Germany that was several-fold more severe than in the first wave".

"...the moderate positive correlation between mask usage and deaths in Western Europe also suggests that the universal use of masks may have had harmful unintended consequences."

"The positive correlation between mask usage and cases was not statistically significant (rho = 0.136, p = 0.436), while the correlation between mask usage and deaths was positive and significant (rho = 0.351, p = 0.039). The Spearman’s correlation between masks and deaths was considerably higher in the West than in East European countries: 0.627 (p = 0.007) and 0.164 (p = 0.514), respectively."

"Not statistically significant" means a difference too small to rule out chance; "statistically significant" means a difference great enough to be sure more masks definitely correlate to more deaths - but not necessarily enough more for laymen to think of it as significant.

"Spearman's Correlation is a measure of "the strength of the relationship between two variables....Rho values range from -1 to 1. A negative value of r indicates that the variables are inversely related, or when one variable increases, the other decreases. On the other hand, positive values indicate that when one variable increases, so does the other."

In other words, a rho of .351 indicates that deaths increase by about a third as much as mask use increases. This, the study calls a "moderate" correlation.

And the "p" value? "The p-value represents the chance of seeing our results if there was no actual relationship between our variables. A p-value less than or equal to 0.05 means that our result is statistically significant and we can trust that the difference is not due to chance alone."

In other words, the "p" of 0.039 means we can trust that the difference is not due to chance alone.

"Table 1" shows death rates and mask wearing rates for nine countries. Albania has the lowest death rate: 679 per million over the six months studied. Its covid rate: 40,990 per million. 53% of its population were "reporting always wearing a mask when leaving home." Hungary's death rate is 2,064 per million. Covid rate: 64,704 per million. 77% of its population always wore masks away from home. Hungary's mask rate is 145% of Albania's. Hungary's death rate is 300% of Albania's. Three times as high.

So, the study concludes, since the covid increases with mask use but not enough to even be sure about it, but deaths increase by about a third as much as mask use increases, the deaths are not covid deaths. It is not proved that the masks cause other deaths, but the correlation is pretty suspicious, especially in light of the German study that reviews the dozens of serious medical conditions that are contributed to by lowering of oxygen levels and the raising of carbon dioxide levels in the blood.


German Study: Is a Mask Free of Potential Hazards?

The German study summarized here reaches several findings which Americans need to know, but which are stated in English that takes too much concentration, even for me. So I am going to “translate” several key paragraphs. In normal print will be my effort at simpler English, and below it, indented, the verbiage from the study.

The numbers in parenthesis are footnotes citing studies published in peer-reviewed medical journals. The study's 178 footnotes fill 14 pages, so I won't reprint them here, but you can find them in the study itself. The title of the study: "Is a Mask That Covers the Mouth and Nose Free from Undesirable Side Effects in Everyday Use and Free of Potential Hazards?" Published online 2021 Apr 20. Paul B. Tchounwou, Academic Editor. Authors: Kai Kisielinski, Paul Giboni, Andreas Prescher, Bernd Klosterhalfen, David Graessel, Stefan Funken, Oliver Kempski, and Oliver Hirsch.

In this article: In normal print, my effort at simpler English. After it, indented, the verbiage from the study.


The CDC Needs Us to Follow Science but Offers None. “Neither the WHO (World Health Organization), CDC (U.S. Centers for Disease Control and Prevention), nor the European ECDC, nor the German RKL, offer sound scientific data that masks reduce Covid.

“...Neither higher level institutions such as the WHO or the European Centre for Disease Prevention and Control (ECDC) nor national ones, such as the Centers for Disease Control and Prevention, GA, USA (CDC) or the German RKI, substantiate with sound scientific data a positive effect of masks in the public (in terms of a reduced rate of spread of COVID-19 in the population) [2,4,5].”

My Translation of the following excerpt: Germans remember the last time German doctors surrendered their individual judgment to a central authority. The 1948 Geneva Declaration, driven by the memory of Hitler’s barbaric mandates based on the assumptions of his “Master Race” religion, places responsibility on the shoulders of every individual doctor to act in his OWN best judgment, and to resist authorities who rule contrary. To surrender individual judgment without limit to a central authority gives central authority a literally absolute power, and absolute power corrupts absolutely.

(Is there a limit to the atrocities which American doctors are willing to commit who surrender their personal convictions to the CDC? We already have the majority of doctors, along with Veterans Administration hospitals, imposing unhealthy mask mandates on hospital patients, and setting this example for all of society, while urging vaccines which kill more than they cure.)

“In addition to protecting the health of their patients, doctors should also base their actions on the guiding principle of the 1948 Geneva Declaration, as revised in 2017. According to this, every doctor vows to put the health and dignity of his patient first and, even under threat, not to use his medical knowledge to violate human rights and civil liberties.”

We pray authorities will pay attention to this evidence, and continually review whatever evidence they have that masks help, with this evidence that masks harm. Doctors should also use this list of established side effects. Virtually every diagnosis requires weighing risks v. benefits, a responsibility impossible with ignorance of risks. Some conditions more clearly than others merit deliverance from the harms of mask wearing.

“...All the scientific facts found in our work expand the knowledge base for a differentiated view of the mask debate. This gain can be relevant for decision makers who have to deal with the issue of mandatory mask use during the pandemic under constant review of proportionality as well as for physicians who can advise their patients more appropriately on this basis. For certain diseases, taking into account the literature found in this study, it is also necessary for the attending physician to weigh up the benefits and risks with regard to a mask obligation. With an overall strictly scientific consideration, a recommendation for mask exemption can become justifiable within the framework of a medical appraisal (Figure 5).”

Our recommendations, supported by the dozens of studies we have reviewed, comply with law, with medical best practices, and science, in contrast to the assumption-led, evidence-challenged mantra that obsessive mask wearing is great for everybody.

“Within the framework of these findings, we, therefore, propagate an explicitly medically judicious, legally compliant action in consideration of scientific factual reality [2,4,5,16,130,132,143,175,176,177] against a predominantly assumption-led claim to a general effectiveness of masks, always taking into account possible unwanted individual effects for the patient and mask wearer concerned, entirely in accordance with the principles of evidence-based medicine and the ethical guidelines of a physician.”

At the least, doctors should use this list of established side effects to compare with the conditions of each patient, and as appropriate, exempt patients from mask wearing whose illness is associated with mask wearing.

“The results of the present literature review could help to include mask-wearing in the differential diagnostic pathophysiological cause consideration of every physician when corresponding symptoms are present (MIES, Figure 4). In this way, the physician can draw on an initial complaints catalogue that may be associated with mask-wearing (Figure 2) and also exclude certain diseases from the general mask requirement (Figure 5).”

We are blissfully ignorant of what oxygen/carbon dioxide imbalance is doing to our bodies at the cellular level to degrade immunity and cause cancer. How long are we going to go on causing this imbalance on a national scale without bothering to find out?

“Basic research at the cellular level regarding mask-induced triggering of the transcription factor HIF with potential promotion of immunosuppression and carcinogenicity also appears to be useful under this circumstance. Our scoping review shows the need for a systematic review.”

Children are the most Vulnerable

Children are the most vulnerable to dangerous policies. Their consequences will be the longest, (because they have more years to live remaining than adults) and therefore the most profound.

“In our view, further research is particularly desirable in the gynecological (fetal and embryonic) and pediatric fields, as children are a vulnerable group that would face the longest and, thus, most profound consequences of a potentially risky mask use.”

Obvious Problems with Masks

(Under “4. Discussion:) Masks soaked with exhaled air accumulate bacteria, fungi, and viruses. Handling them contaminates hands.

“From an infection epidemiological point of view, masks in everyday use offer the risk of self-contamination by the wearer from both inside and outside, including via contaminated hands [5,16,88]. In addition, masks are soaked by exhaled air, which potentially accumulates infectious agents from the nasopharynx and also from the ambient air on the outside and inside of the mask. In particular, serious infection-causing bacteria and fungi should be mentioned here [86,88,89], but also viruses [87]. The unusual increase in the detection of rhinoviruses in the sentinel studies of the German RKI from 2020 [90] could be an indication of this phenomenon. Clarification through further investigations would therefore be desirable.”

Dizziness, vertigo (loss of balance), and shortness of breath should cause anyone to rip off his mask, at the least! Authorities who issue mandates should issue warnings, along with First Aid instruction.

“...the use of masks should be stopped immediately at the latest when shortness of breath, dizziness or vertigo occur [23,25]. From this aspect, it seems sensible for decision makers and authorities to provide information, to define instruction obligations and offer appropriate training for employers, teachers and other persons who have a supervisory or caregiving duty. Knowledge about first aid measures could also be refreshed and expanded accordingly in this regard.”

We want children in school so they can become smart, right? But masks impair thinking, decrease attention spans, along with dizziness, psychological and brain problems! And school bus drivers wearing masks are more likely to have accidents!

“...The proven mask-induced mild to moderate cognitive impairment with impaired thinking, decreased attention and dizziness [19,23,29,32,36,37,39,40,41,69], as well as the psychological and neurological effects [135], should be additionally taken into account when masks are compulsory at school and in the vicinity of both public and non-public transport, also regarding the possibility of an increased risk of accidents (see also occupational health side effects and hazards) [19,29,32,36,37].”

Indirect health hazard: 89 million masks are discarded every month. 7 polymers into which they degrade are a significant source of plastic particles polluting our water and infecting fish. The microbes (protozoa, bacteria, viruses, fungi) on them are an ominous threat. Their disposal is barely regulated even in western countries.

“3.15. Effects on the Environment. According to WHO estimates of a demand of 89 million masks per month, their global production will continue to increase under the Corona pandemic [139]. Due to the composition of, e.g., disposable surgical masks with polymers such as polypropylene, polyurethane, polyacrylonitrile, polystyrene, polycarbonate, polyethylene and polyester [140], an increasing global challenge, also from an environmental point of view, can be expected, especially outside Europe, in the absence of recycling and disposal strategies [139]. The aforementioned single use polymers have been identified as a significant source of plastic and plastic particles for the pollution of all water cycles up to the marine environment [141]. A significant health hazard factor is contributed by mask waste in the form of microplastics after decomposition into the food chain. Likewise, contaminated macroscopic disposable mask waste—especially before microscopic decay—represents a widespread medium for microbes (protozoa, bacteria, viruses, fungi) in terms of invasive pathogens [86,87,88,89,142]. Proper disposal of bio-contaminated everyday mask material is insufficiently regulated even in western countries.”

Masks worn by the public are a greater risk than those worn by doctors because hospital rules can’t be followed by the general public.

“Masks, when used by the general public, are considered by scientists to pose a risk of infection because the standardized hygiene rules of hospitals cannot be followed by the general public [5].”

How Masks Make Covid Spread Even Worse

Masks cause covid virus to travel farther through the air, because the “droplets” (microscopic drops of water, as in mist and in clouds) driven through a mask are smaller than the droplets exhaled by mask-less people. [The volume of droplets is not necessarily less, because the same amount of air is forced through the masks as people normally breathe. If masks actually trapped large droplets, they would quickly become soggy, which proves they actually force large droplets through, making them smaller; and the smaller they are, the longer they are airborne.] This forcing of large droplets into becoming smaller droplets is called the “Nebulizer Effect”.

“On top of that, mask wearers (surgical, N95, fabric masks) exhale relatively smaller particles (size 0.3 to 0.5 μm) than mask-less people and the louder speech under masks further amplifies this increased fine aerosol production by the mask wearer (nebulizer effect) [98].”

Mask Reseach History

Masks didn’t achieve the hoped-for protection from the 1918 Spanish Flu, the influenzas of 1957–58, 1968, 2002 or 2009, or from SARS in 2004–2005. Masks are ineffective against viruses even in hospital use.

“The history of modern times shows that already in the influenza pandemics of 1918–1919, 1957–58, 1968, 2002, in SARS 2004–2005 as well as with the influenza in 2009, masks in everyday use could not achieve the hoped-for success in the fight against viral infection scenarios [67,144]. The experiences led to scientific studies describing as early as 2009 that masks do not show any significant effect with regard to viruses in an everyday scenario [129,145]. Even later, scientists and institutions rated the masks as unsuitable to protect the user safely from viral respiratory infections [137,146,147]. Even in hospital use, surgical masks lack strong evidence of protection against viruses [67].”

The Evidence is Clear

The evidence of harm isn't just documented in one little study. But in 42 peer-reviewed studies in medical journals. Each of the harms listed above are documented in several of those 42 studies. From the Conclusion:

“We were able to demonstrate a statistically significant correlation of the observed adverse effect of hypoxia and the symptom of fatigue with p < 0.05 in the quantitative evaluation of the primary studies. Our review of the literature shows that both healthy and sick people can experience Mask-Induced Exhaustion Syndrome (MIES), with typical changes and symptoms that are often observed in combination, such as an increase in breathing dead space volume [22,24,58,59], increase in breathing resistance [31,35,60,61], increase in blood carbon dioxide [13,15,17,19,21,22,23,24,25,26,27,28,29,30,35], decrease in blood oxygen saturation [18,19,21,23,28,29,30,31,32,33,34], increase in heart rate [23,29,30,35], increase in blood pressure [25,35], decrease in cardiopulmonary capacity [31], increase in respiratory rate [15,21,23,34,36], shortness of breath and difficulty breathing [15,17,19,21,23,25,29,31,34,35,60,71,85,101,133], headache [19,27,29,37,66,67,68,71,83], dizziness [23,29], feeling hot and clammy [17,22,29,31,35,44,71,85,133], decreased ability to concentrate [29], decreased ability to think [36,37], drowsiness [19,29,32,36,37], decrease in empathy perception [99], impaired skin barrier function [37,72,73] with itching [31,35,67,71,72,73,91,92,93], acne, skin lesions and irritation [37,72,73], overall perceived fatigue and exhaustion [15,19,21,29,31,32,34,35,69] (Figure 2, Figure 3 and Figure 4).”

The harms we document are “statistically significant”. That is, the difference in harm from wearing a mask compared with not wearing a mask is great enough to rule out chance. These harms are proved, and they are numerous. The disruption of normal breathing is unhealthy.

“In our work, we have identified scientifically validated and numerous statistically significant adverse effects of masks in various fields of medicine, especially with regard to a disruptive influence on the highly complex process of breathing and negative effects on the respiratory physiology and gas metabolism of the body (see Figure 2 and Figure 3). The respiratory physiology and gas excThe result of significant changes in blood gases in the direction of hypoxia (drop in oxygen saturation) and hypercapnia (increase in carbon dioxide concentration) through masks, thus, has the potential to have a clinically relevant influence on the human organism even without exceeding normal limits.hange play a key role in maintaining a health-sustaining balance in the human body [136,153]. ...”
"There were studies showing no negative effects from masks, which we did not take seriously, for various reasons. For example, some had no control groups. Some were too small too prove anything. Some should not be trusted because of conflicts of interest. Some didn’t even use masks! And even a well done study that mentions no negative effects doesn’t mean there were none – only that they weren’t mentioned, it not being the mission of the research to document them.
“For a compilation of studies with harmless results when using masks, reference must, therefore, be made to reviews with a different research objective, whereby attention must be paid to possible conflicts of interest there. Some of the studies excluded by us lacking negative effects have shown methodological weaknesses (small, non-uniform experimental groups, missing control group even without masks due to corona constraints, etc.) [174]. In other words, if no negative concomitant effects were described in publications, it does not necessarily mean that masks have exclusively positive effects. It is quite possible that negative effects were simply not mentioned in the literature and the number of negative effects may well be higher than our review suggests.”

The famous N95 mask filters better than other masks, at the cost of greater airway resistance and more dead air space. That made the N95 mask great for our study because its negative effects are greater, making them easier to measure.

“The most commonly used personal particulate matter protective equipment in the COVID-19 pandemic is the N95 mask [23]. Due to its characteristics (better filtering function, but greater airway resistance and more dead space volume than other masks), the N95 mask is able to highlight negative effects of such protective equipment more clearly than others (Figure 3). Therefore, a relatively frequent consideration and evaluation of N95 masks within the studies found (30 of the 44 quantitatively evaluated studies, 68%) is even advantageous within the framework of our research question”

How Masks Harm

Not all of the air we exhale leaves our body. Some of it doesn’t get clear of our throats and noses, and we breathe back in its carbon dioxide. We call this amount of re-breathed air “dead space volume”. Wearing a mask almost doubles this “dead space volume”, lowering the oxygen and raising the carbon dioxide in our blood.

“According to the studies we found, a dead space volume that is almost doubled by wearing a mask and a more than doubled breathing resistance (Figure 3) [59,60,61] lead to a rebreathing of carbon dioxide with every breathing cycle [16,17,18,39,83] with—in healthy people mostly—a subthreshold but, in sick people, a partly pathological increase in the carbon dioxide partial pressure (PaCO2) in the blood [25,34,58].”

This forces mask wearers to breathe faster. It makes lung muscles work harder. Mask training doesn’t change this.

“According to the primary studies found, these changes contribute reflexively to an increase in respiratory frequency and depth [21,23,34,36] with a corresponding increase in the work of the respiratory muscles via physiological feedback mechanisms [31,36]. Thus, it is not, as initially assumed, purely positive training through mask use. This often increases the subliminal drop in oxygen saturation SpO2 in the blood [23,28,29,30,32], which is already reduced by increased dead space volume and increased breathing resistance [18,31].

Oxygen drop increases heart and breathing rate, and blood pressure.

“The overall possible resulting measurable drop in oxygen saturation O2 of the blood on the one hand [18,23,28,29,30,32] and the increase in carbon dioxide (CO2) on the other [13,15,19,21,22,23,24,25,26,27,28] contribute to an increased noradrenergic stress response, with heart rate increase [29,30,35] and respiratory rate increase [15,21,23,34], in some cases also to a significant blood pressure increase [25,35].” Even when oxygen/carbon dioxide imbalance isn’t serious enough to cause measurable harm, or even enough to notice, it causes reactions in important control centers in the brain.
“Even subthreshold changes in blood gases such as those provoked when wearing a mask cause reactions in these control centers in the central nervous system. Masks, therefore, trigger direct reactions in important control centers of the affected brain via the slightest changes in oxygen and carbon dioxide in the blood of the wearer [136,154,155].”

Disturbed breathing increases hypertension and sleep apnea. It is the main trigger for the Sympathetic Stress Response.

“A link between disturbed breathing and cardiorespiratory diseases such as hypertension, sleep apnea and metabolic syndrome has been scientifically proven [56,57]. Interestingly, decreased oxygen/O2blood levels and also increased carbon dioxide/CO2 blood levels are considered the main triggers for the sympathetic stress response [38,136]. The aforementioned chemo-sensitive neurons of the nucleus solitarius in the medulla are considered to be the main responsible control centers [136,154,155]. Clinical effects of prolonged mask-wearing would, thus, be a conceivable intensification of chronic stress reactions and negative influences on the metabolism leading towards a metabolic syndrome. The mask studies we found show that such disease-relevant respiratory gas changes (O2 and CO2) [38,136] are already achieved by wearing a mask [13,15,18,19,21,22,23,24,25,26,27,28,29,30,31,32,33,34]. A connection between hypoxia, sympathetic reactions and leptin release is scientifically known [136].”

Psychological research links health-promoting breathing to positive emotion and drive. Masks impede good breathing.

“Additionally important is the connection of breathing with the influence on other bodily functions [56,57], including the psyche with the generation of positive emotions and drive [153]. The latest findings from neuro-psychobiological research indicate that respiration is not only a function regulated by physical variables to control them (feedback mechanism), but rather independently influences higher-level brain centers and, thus, also helps to shape psychological and other bodily functions and reactions [153,157,158]. Since masks impede the wearer’s breathing and accelerate it, they work completely against the principles of health-promoting breathing [56,57] used in holistic medicine and yoga. According to recent research, undisturbed breathing is essential for happiness and healthy drive [157,159], but masks work against this.”

Oxygen/carbon dioxide doesn’t just affect organs. It affects cells. Not only cells, but genes. It inhibits stem cells, promotes tumor cells, and causes inflammation. How interesting all this is for researchers!

“According to the latest scientific findings, blood-gas shifts towards hypoxia and hypercapnia not only have an influence on the described immediate, psychological and physiological reactions on a macroscopic and microscopic level, but additionally on gene expression and metabolism on a molecular cellular level in many different body cells. Through this, the drastic disruptive intervention of masks in the physiology of the body also becomes clear down to the cellular level, e.g., in the activation of hypoxia-induced factor (HIF) through both hypercapnia and hypoxia-like effects [160]. HIF is a transcription factor that regulates cellular oxygen supply and activates signaling pathways relevant to adaptive responses. e.g., HIF inhibits stem cells, promotes tumor cell growth and inflammatory processes [160]. Based on the hypoxia- and hypercapnia-promoting effects of masks, which have been comprehensively described for the first time in our study, potential disruptive influences down to the intracellular level (HIF-a) can be assumed, especially through the prolonged and excessive use of masks. Thus, in addition to the vegetative chronic stress reaction in mask wearers, which is channeled via brain centers, there is also likely to be an adverse influence on metabolism at the cellular level. With the prospect of continued mask use in everyday life, this also opens up an interesting field of research for the future.”

As early as 1983 the WHO noted the harm from the carbon dioxide buildup indoors, compared to outdoors. Those harms overlap the harms experienced from masks. Since masks are required especially indoors, the buildup is multiplied.

“The fact that prolonged exposure to latently elevated CO2 levels and unfavorable breathing air compositions has disease-promoting effects was recognized early on. As early as 1983, the WHO described “Sick Building Syndrome” (SBS) as a condition in which people living indoors experienced acute disease-relevant effects that increased with time of their stay, without specific causes or diseases [161,162]. The syndrome affects people who spend most of their time indoors, often with subliminally elevated CO2 levels, and are prone to symptoms such as increased heart rate, rise in blood pressure, headaches, fatigue and difficulty concentrating [38,162]. Some of the complaints described in the mask studies we found (Figure 2) are surprisingly similar to those of Sick Building Syndrome [161]. Temperature, carbon dioxide content of the air, headaches, dizziness, drowsiness and itching also play a role in Sick Building Syndrome. On the one hand, masks could themselves be responsible for effects such as those described for Sick Building Syndrome when used for a longer period of time. On the other hand, they could additionally intensify these effects when worn in air-conditioned buildings, especially when masks are mandatory indoors.”

Overweight people already suffer elevated carbon dioxide levels, further multiplying the effects of masks and being indoors. Extended mask use for these people heightens the risk of serious diseases and death.

“The already often elevated blood carbon dioxide (CO2) levels in overweight people, sleep apnea patients and patients with overlap-COPD could possibly increase even further with everyday masks. Not only a high body mass index (BMI) but also sleep apnea are associated with hypercapnia during the day in these patients (even without masks) [19,163]. For such patients, hypercapnia means an increase in the risk of serious diseases with increased morbidity, which could then be further increased by excessive mask use [18,38].”

Masks don’t harm everyone, but we should expect long term exposure to even a very mild poison to generally cause long term disease.

“Wearing masks does not consistently cause clinical deviations from the norm of physiological parameters, but according to the scientific literature, a long-term pathological consequence with clinical relevance is to be expected owing to a longer-lasting effect with a subliminal impact and significant shift in the pathological direction.

Harms that all mask wearers consistently suffer are increase in carbon dioxide in the blood, increase in heart rate, and increase in respiratory rate. Long exposure to these effects obviously causes high blood pressure, arteriosclerosis, heart disease, and neurological (nerve) disease.

“For changes that do not exceed normal values, but are persistently recurring, such as an increase in blood carbon dioxide [38,160], an increase in heart rate [55] or an increase in respiratory rate [56,57], which have been documented while wearing a mask [13,15,17,19,21,22,23,24,25,26,27,28,29,30,34,35] (Figure 2), a long-term generation of high blood pressure [25,35], arteriosclerosis and coronary heart disease and of neurological diseases is scientifically obvious [38,55,56,57,160].”

The general principle, that even very low exposure to mild poisons but over a long period cause significant sickness, is a theme of environmental studies.

“This pathogenetic damage principle with a chronic low-dose exposure with long-term effect, which leads to disease or disease-relevant conditions, has already been extensively studied and described in many areas of environmental medicine [38,46,47,48,49,50,51,52,53,54].”

Our studies prove (as if it were not already obvious) that extended mask wearing harms the oxygen/carbon dioxide balance in the blood, induces a chronic sympathetic stress response, which reduces immunity along with diseases of the heart and nerves.

“Extended mask-wearing would have the potential, according to the facts and correlations we have found, to cause a chronic sympathetic stress response induced by blood gas modifications and controlled by brain centers. This in turn induces and triggers immune suppression and metabolic syndrome with cardiovascular and neurological diseases.”

We didn’t just establish long term consequences. Short term effects include headache, exhaustion, skin redness and itching, and germ colonies.

“We not only found evidence in the reviewed mask literature of potential long-term effects, but also evidence of an increase in direct short-term effects with increased mask-wearing time in terms of cumulative effects for: carbon dioxide retention, drowsiness, headache, feeling of exhaustion, skin irritation (redness, itching) and microbiological contamination (germ colonization) [19,22,37,66,68,69,89,91,92].”

Logically, these effects reach to individual cells, causing inflammation of cells and promoting cancer, contrasting with the level of health prior to wearing masks.

“...Theoretically, the mask-induced effects of the drop in blood gas oxygen and increase in carbon dioxide extend to the cellular level with induction of the transcription factor HIF (hypoxia-induced factor) and increased inflammatory and cancer-promoting effects [160] and can, thus, also have a negative influence on pre-existing clinical pictures.”

Masks Don’t Reduce Oxygen?

News reports are no more interested in citing evidence than CDC director Walesky was in her tweet I review under the heading “Miracle Masks” above.

Here is a report from a TV news broadcast, way back July 14, 2020, but still top ranking in internet searches.

It shows a doctor putting on 6 face masks with an oxygen sensor on his finger to “prove” masks don’t reduce oxygen levels.

Not even after a whole half a minute!

“C’mon, man!” (To quote our President.) And his first mask isn’t even on until the first 25 seconds of it? It is possible to hold your breath for 30 seconds without blood oxygen levels dipping on a finger meter. Studies showing oxygen drops don’t talk about minutes, but hours.

I notice that he has his mask far up on his nose, almost covering his eyes, without that little metal piece conforming the mask to the outline of the face, allowing plenty of air to go around the masks even if the masks were made of metal.

Anyway, this article is full of flat statements like

“According to the American Lung Association, there has been a tremendous amount of disinformation spreading regarding the use of masks. Dr. David G. Hill said masks “absolutely” do not cause lower oxygen levels. “We wear masks all day long in the hospital. The masks are designed to be breathed through and there is no evidence that low oxygen levels occur,” Hill said.

Then come the caveats.

“Hill said there is some evidence that prolonged use of N-95 masks in patients with preexisting lung disease could cause some build-up of carbon dioxide levels in the body. “People with preexisting lung problems should discuss mask wearing concerns with their health care providers,” Hill said.

Masks won’t cause a CO2 buildup if you are healthy, but if you have a lung condition, they will feel sorry for you and let the oxygen through. Ah, modern “science”. (The link to the American Lung Association is dated June 18, 2020. It just repeats the Dr. Hill quote.)

Face masks restrict oxygen, build up CO2: study

Face masks DON'T restrict oxygen or contribute to carbon dioxide buildup: study Fox News Published October 2, 2020 10:26am EDT

(The Denmark study was published a month later, the German review the following April. The German study did not address this one.)

“Effect of Face Masks on Gas Exchange in Healthy Persons and Patients with COPD,” which was published in the Annals of the American Thoracic Society 

The small study included 15 military veterans with severe COPD, each with lung function under 50%, and 15 healthy participants. All participants wore masks for 30 minutes and were told to walk for six minutes while wearing the surgical masks. Researchers then gave each participant a blood test and discovered there were no differences in levels of oxygen or carbon dioxide. “This data find that gas exchange is not significantly affected by the use of surgical mask, even in subjects with severe lung impairment,” Campos said in the study.

Comment: Hmmm. A very small study. What is “significant” to these people?

Here’s the actual study.

“At 5 and 30 minutes, no major changes in end-tidal CO2 or oxygen saturation as measured by pulse oximetry of clinical significance were noted at any time point in either group at rest (Table 1). With the 6-minute walk, subjects with severe COPD decreased oxygenation as expected (with two qualifying for supplemental oxygen). However, as a group, subjects with COPD did not exhibit major physiologic changes in gas exchange measurements after the 6-minute walk test using a surgical mask, particularly in CO2 retention.

Table 1 shows that healthy physicians indeed experienced lower oxygen levels by a quarter of a percent (0.28%) but that didn’t count as “clinically significant” because that was within what the general population calls the “margin of error” but what statisticians call the “Confidence Interval”, or CI. 97.5% is the “baseline”, or the oxygen saturation rate before the test, so the drop was to 97.22%, but it would have had to drop to below 95% to escape the “margin of error” boundaries. Hence, news reporters say “no significance”.

How about a longer test?!!!

That drop occurred after only five minutes wearing a mask, while resting. No exercise. After 30 minutes of wearing a mask at rest oxygen had actually slightly increased a tenth of a percent over baseline, to 97.6%.

As for CO2 “baseline” [the measurement before the test started] was 36.2%. The rise was to 37.26%. The “Confidence Interval” [the range of results, higher and lower, which we can be 95% confident others will experience] reached up to 40%. After 30 minutes wearing a mask the rise was still up to 36.95%.

Breathing got a little faster. Baseline was 17.2 breaths per minute. After 5 masked minutes it rose to 17.72; after 30 minutes, 18.33. But CI reached up to 21.

For those with severe COPD, “baseline” for oxygen was 91.3% After 5 minutes their average was actually up to 91.65%. After 30 minutes at rest it was higher: to 92.17% But after 6 minutes of walking it dropped to 89.02%. The CI allowed a drop below 89% before calling it “statistically significant”.

CO2 levels dropped slightly at all three points: after 5 minutes, 30 minutes, and after 6 minutes of walking.

Breathing dropped slightly from 20.5 breaths per minute to 20.38 after 5 minutes, but rose to 21.53 after 30 minutes at rest, and to 23.8 after 6 minutes of walking. It could have risen to 35 without escaping the CI.

The study concludes, “our population offers a clear signal on the nil effect of surgical masks on relevant physiological changes in gas exchange under routine circumstances (prolonged rest, brief walking).”

Apparently “nil” doesn’t mean “zero” in the vocabulary of these researchers, because two sentences later they write “As shown, we observed a small drop in oxygen pressure/tension in this group, expected based on their disease severity, but not a rise in Pco2 [carbon dioxide tension/partial pressure ] after walking.”

In dictionaries, however, “nil” does mean “zero” and “nothing”. So the two claims clearly clash. However, contradictions in medical research offer the blessing of choice to news reporters.

The only thing this study proves to me is the need for a longer study than 30 minutes! Can 30 minutes measure the impact of masks after 30 months, of 40 hours a week? Which is 1,800 times longer than 30 minutes! I will expect a small change after 30 minutes to not be small after it germinates 1,800 times longer.

Masks violate OSHA standards

"Oxygen deficient atmosphere means an atmosphere with an oxygen content below 19.5% by volume." OSHA Carbon dioxide content of air that workers breathe must remain above 1,000 ppm (one part per thousand) or less. In other words, 0.1%.”

Obviously masks reduce oxygen and increase carbon dioxide, and the more so, the harder someone is breathing, such as during exercise. It can't take very much heavy breathing to push the 20.95% oxygen level in our atmosphere down below 19.5%, and to push the 0.04% carbon dioxide level up above 0.1%. (Wikipedia).

video by Peggy Hall from The Healthy American shows that people wearing a mask are breathing oxygen levels below what OSHA defines as safe. Medical professionals often wear masks for hours during surgery or when taking care of individuals with immune deficiencies. But wearing a mask while standing or walking slowly puts much less dramatic strain on one's body than while exercising or working harder.

Joseph Mercola reports, "Some people have suffered dangerous and even lethal consequences from wearing a mask while exercising. When levels of carbon dioxide rise too high, it can initially trigger symptoms such as headaches, fatigue, poor concentration, nausea and breathing difficulties", according to the Wisconsin Department of Health Services. Mercola reported several cases of people dying from heavy exercise while wearing masks, but I don't trust the stories because they were all in China.

Masks DON’T Violate OSHA Standards?

This article is not dated, but it contains a July 21, 2020 tweet.

It is a “FALSE CLAIM”, CBIA.com says,

“that [OSHA’s] respiratory protection standard, its permit-required confined space standard, and its air contaminants standard apply to the issue of oxygen or carbon levels resulting from the use of medical masks or cloth face coverings in work settings under normal ambient air, such as healthcare settings, offices, retail, and construction.”

It is false, according to OSHA’s explanation, not because the lower oxygen levels that violate OSHA standards for ships and tanks have been discovered not to create health risks after all, but because they do not legally apply to wearing medical masks outside ships and tanks.

Um, who said they did?

The argument that masks are unhealthy as measured by the fact that they bring down oxygen levels below what OSHA classifies as healthy levels is not made out of concern that OSHA will fine you for wearing a mask, but is made out of concern that masks are unhealthy. Recognition of that fact by a federal agency that enforces its standard against businesses, even if it does so selectively, is a valuable point to make to lawmakers, hospital administrators, and courts. The inconsistency of OSHA, in endorsing masks in retail and other public settings, does not cancel its establishment of the level of lowered oxygen and increased CO2 that is unsafe. Because the needs of our physical bodies for oxygen do not change from when we are inside a ship or tank, or outside.

The article continues, stating the obvious which is irrelevant to health concerns, “”These standards do not apply to wearing medical masks or cloth face coverings in work settings in normal ambient air. These standards would only apply to work settings with known or suspected sources of chemicals, like manufacturing facilities, or where workers are required to enter into a potentially dangerous location, such as a large tank or vessel.”

Unfortunately OSHA’s concern for health in tanks and ships is not shared with the rest of us. It’s FAQ’s admit there is carbon dioxide buildup, but without links to any evidence, assumes it is “not at unsafe levels”.

Here is OSHA’s complete statement:

Does wearing a medical/surgical mask or cloth face covering cause unsafe oxygen levels or harmful carbon dioxide levels to the wearer?
No. Medical masks, including surgical masks, are routinely worn by healthcare workers throughout the day as part of their personal protective equipment (PPE) ensembles and do not compromise their oxygen levels or cause carbon dioxide buildup. They are designed to be breathed through and can protect against respiratory droplets, which are typically much larger than tiny carbon dioxide molecules. Consequently, most carbon dioxide molecules will either go through the mask or escape along the mask's loose-fitting perimeter. Some carbon dioxide MIGHT collect between the mask and the wearer's face, but not at unsafe levels.
Like medical masks, cloth face coverings are loose-fitting with no seal and are designed to be breathed through. In addition, workers may easily remove their medical masks or cloth face coverings periodically (and when not in close proximity with others) to eliminate any negligible build-up of carbon dioxide that might occur. Cloth face coverings and medical masks can help prevent the spread of potentially infectious respiratory droplets from the wearer to their co-workers, including when the wearer has COVID-19 and does not know it.
Some people have mistakenly claimed that OSHA standards (e.g., the Respiratory Protection standard, 29 CFR 1910.134; the Permit-Required Confined Space standard 29 CFR 1910.146; and the Air Contaminants standard, 29 CFR 1910.1000) apply to the issue of oxygen or carbon dioxide levels resulting from the use of medical masks or cloth face coverings in work settings with normal ambient air (e.g. healthcare settings, offices, retail settings, construction). These standards do not apply to the wearing of medical masks or cloth face coverings in work settings with normal ambient air. These standards would only apply [meaning, legally] to work settings where there are known or suspected sources of chemicals (e.g., manufacturing facilities) or workers are required to enter a potentially dangerous location (e.g., a large tank or vessel).


"Evidence that masks help is lacking. Their harms are established."

National Institutes of Health published a review of over 100 mask studies January, 2021, which had been earlier published online November 22, 2020. One of its conclusions, from its abstract (summary): “Although, scientific evidence supporting facemasks’ efficacy is lacking, adverse physiological, psychological and health effects are established.”

The study was “retracted” four months later, May 12, 2021] but the “retraction notice” gives no reason, even though the NIH Retraction Policy says "The notice should also clearly specify the reason that the article is invalid." The Notice identifies no error in the study or any other reason that would justify retraction; it doesn’t allege that the study contained any error. Since the study is full of footnotes to the research it reviewed, and since it is undeniable that masks reduce oxygen intake while increasing carbon dioxide intake, and since lowering oxygen levels obviously is not medically smart, and since its conclusions generally line up with the German study which is still published and available online, I will report this information until somebody shows me significant errors in it. The quotes below are from the study. The study is archived here.

A cure worse than the disease. The study begins with the implied question: Are masks a cure worse than the disease? The mortality of covid is like that of Influenza - about 0.1%. It rarely causes death by itself. While masks are unsafe, ineffective, psychologically harmful, and bad for health.

The effects of less oxygen. “Acute” deprivation of oxygen or buildup of carbon dioxide “even for a few minutes can be seriously harmful or lethal....[while] chronic mild or moderate hypoxemia [less oxygen] and hypercapnia [more CO2] such as from wearing facemasks result[s] in shifting to higher contribution of anaerobic energy metabolism [where tissues consume glycol and glycogen to stay alive until normal oxygen is restored, which the brain can’t do very much], decrease in pH levels and increase in cells and blood acidity, [lowering the PH makes the blood more acid], toxicity, [poison], oxidative stress [damage to cells and tissue], chronic inflammation [inflammation that can last for years], immunosuppression [suppression of the immune system] and health deterioration.”

More medical conditions from lowered oxygen. “In normal conditions at the sea level, air contains 20.93% O2 and 0.03% CO2, providing partial pressures of 100 mmHg and 40 mmHg for these gases in the arterial blood, respectively. These gas concentrations [are] significantly altered when breathing occurs through facemask. ...trapped air remaining between the mouth, nose and the facemask is rebreathed repeatedly in and out of the body, containing low O2 and high CO2 concentrations, causing hypoxemia and hypercapnia....Low oxygen content in the arterial blood can cause myocardial ischemia, serious arrhythmias, right or left ventricular dysfunction, dizziness, hypotension, syncope and pulmonary hypertension [43]. Chronic low-grade hypoxemia and hypercapnia as result of using facemask can cause exacerbation of existing cardiopulmonary, metabolic, vascular and neurological conditions....

Not just lowered oxygen: more germs, poisons, heat. “In addition to hypoxia and hypercapnia, breathing through [a] facemask [builds up] residues [of] bacteria and germs...on the inner and outside layer of the facemask. These toxic components are repeatedly rebreathed back into the body, causing self-contamination. Breathing through facemasks also increases temperature and humidity in the space between the mouth and the mask, resulting [in] a release of toxic particles from the mask’s materials. A systematic literature review estimated that aerosol [through the air] contamination levels of facemasks includ[ed greater exposure to] 13 to 202,549 different viruses.

“Rebreathing contaminated air with high bacterial and toxic particle concentrations along with low O2 and high CO2 levels continuously challenge the body homeostasis, causing self-toxicity and immunosuppression.”

Stress to lungs and heart. “Oxygen deficiency overworks [the] lungs and heart, slows brain and coordination. A study on 39 patients with renal disease found that wearing N95 facemask[s] during hemodialysis significantly reduced arterial partial oxygen pressure (from PaO2 101.7 to 92.7 mm Hg), increased respiratory rate (from 16.8 to 18.8 breaths/min), and increased the occurrence of chest discomfort and respiratory distress. Respiratory Protection Standards from [the] Occupational Safety and Health Administration, US Department of Labor states that breathing air with O2 concentration below 19.5% is considered oxygen-deficiency, causing physiological and health adverse effects.

Disruption of clear thinking. “These include increased breathing frequency, accelerated heartrate and cognitive impairments related to thinking and coordination. A chronic state of mild hypoxia and hypercapnia has been shown as primarily mechanism for developing cognitive dysfunction based on animal studies and studies in patients with chronic obstructive pulmonary disease.

Surgeons’ 4x more headaches, faster heartrate, lower oxygen levels. The adverse physiological effects were confirmed in a study of 53 surgeons where surgical facemask[s] were used during a major operation. After 60 min of facemask wearing the oxygen saturation dropped by more than 1% and heart rate increased by approximately five beats/min. Another study among 158 health-care workers using protective personal equipment primarily N95 facemasks reported that 81% (128 workers) developed new headaches during their work shifts as these become mandatory due to COVID-19 outbreak. For those who used the N95 facemask greater than 4 h per day, the likelihood for developing a headache during the work shift was approximately four times higher [Odds ratio = 3.91, 95% CI (1.35–11.31) p = 0.012], while 82.2% of the N95 wearers developed the headache already within ≤10 to 50 min [46].

List of potential medical harms.

Physiological Effects

• Hypoxemia

• Hypercapnia

• Shortness of breath

• Increase lactate concentration

• Decline in pH levels

• Acidosis

• Toxicity

• Inflammation

• Self-contamination

• Increase in stress hormones level (adrenaline, noradrenaline and cortisol)

• Increased muscle tension

• Immunosuppression

Psychological Effect

• Activation of “fight or flight” stress response

• Chronic stress condition

• Fear

• Mood disturbances

• Insomnia

• Fatigue

• Compromised cognitive performance

Health Consequences

• Increased predisposition for viral and infection illnesses

• Headaches

• Anxiety

• Depression

• Hypertension

• Cardiovascular disease

• Cancer

• Diabetes

• Alzheimer disease

• Exacerbation of existing conditions and diseases

• Accelerated aging process

• Health deterioration

• Premature mortality

Tiny germs, huge open spaces. “Due to the difference in sizes between SARS-CoV-2 diameter and facemasks thread diameter (the virus is 1000 times smaller), SARS-CoV-2 can easily pass through any facemask.” (From the beginning of the Covid scare, the widely published hope was that most of the virus would be carried through the air on droplets so much bigger than the virus that masks could stop them. But the research summarized next, showing zero benefit from masks, should have dashed that unsupported hope.)

Research settles it. Even before covid, “no protective effect” against “viral infections or influenzalike illness” was found in six randomized control trials (RCT’s). 23 “observational” studies reviewed by this report found no help against SARS, the family of viruses of which Covid is a member. Another review of 39 studies involving 33,867 participants found no help against “influenza or influenza-like illness”.

There was another review of 44 studies with 25,697 participants. “Although the overall findings showed reduced risk of virus transmission with facemasks, the analysis had severe limitations to draw conclusions.” For example, only four of the cases studied covid; of those, one found no cases in either arm of the study so no comparison was possible, and two had “unadjusted models” which couldn’t be compared.

So how did masks come to be mandated all over the world? Was it the World Health Organization’s idea? “the WHO repeatedly announced that ‘at present, there is no direct evidence (from studies on COVID-19) on the effectiveness face masking of healthy people in the community to prevent infection of respiratory viruses, including COVID-19”.

Harm from masks was admitted from the beginning. (The study continues:) "Despite these controversies, the potential harms and risks of wearing facemasks were clearly acknowledged. These including self-contamination due to hand practice or non-replaced when the mask is wet, soiled or damaged, development of facial skin lesions, irritant dermatitis or worsening acne and psychological discomfort. Vulnerable populations such as people with mental health disorders, developmental disabilities, hearing problems, those living in hot and humid environments, children and patients with respiratory conditions are at significant health risk for complications and harm.’ ” “The Central for Disease Control and Prevention (CDC) made similar recommendation, stating that only symptomatic persons should consider wearing facemask.”

Cloth masks most dangerous. A huge RCT involving 14 hospitals found “there were no difference between wearing cloth masks, medical masks and no masks for incidence of clinical respiratory illness and laboratory-confirmed respiratory virus infections. However, a large harmful effect with more than 13 times higher risk [Relative Risk = 13.25 95% CI (1.74 to 100.97) was observed for influenza-like illness among those who were wearing cloth masks. The study concluded that cloth masks have significant health and safety issues including moisture retention, reuse, poor filtration and increased risk for infection, providing recommendation against the use of cloth masks.” Relationships. 249 studies involving 708,000 people showed somewhere between 13-50% greater deaths resulting from reduced contact with people. Masks compromise “Basic human-to-human connectivity through face expression...and self-identity is somewhat eliminated....reduced human-to-human connections are associated with poor mental and physical health.

Reduced Communication with Patients.

This is not a published randomized study, or even a published news artice, but a testimonial, an “anecdotal” report. A Des Moines nurse told me her elderly patients, with hearing loss, rely on lip reading. So to talk to them, she has to step back six feet so she can take off her mask. That distance of course makes it harder to hear, and harder to see lips. She is furious with the requirement, knowing the research. Nurses on her wing are required by the hospital, following CDC guidelines, to wear shields over their masks, but the nurse in charge of the wing refuses to enforce that requirement.

Masks, like any sound-absorbant material, obstruct the sound of consonants, which are carried in the high frequencies from 1,000 to 4,000 Hz, or vibrations per second. Those frequencies are especially vulnerable to any obstacle; the higher the frequency, the less they can pass through obstacles like walls, and the less they can go around obstacles. I know that as a musician; that is why speakers for a musical performance, or for speeches or sermons, can have the big subwoofers anywhere, like on the floor, but the "tweeters" or "cones" must be elevated where anyone in the audience can see them. (So they are in their "line of sight".)

I myself have hearing loss, and sometimes I have to ask a nurse or doctor to take off his or her mask and repeat.

Children Struggle to Recognize Mask Wearers

“The main findings from this paper are that children struggle to recognize masked faces. We found a decrease of 20 percent in their ability to recognize masked faces, while the average decline is around 15 percent for adults,” Erez Freud, assistant professor in the Faculty of Health at York University in Canada, one of the researchers, told The Epoch Times in an email. The Study Summary

“Not only do masks hinder the ability of children to recognize faces, but they also disrupt the typical, holistic way that faces are processed,” Freud said in a statement. “If holistic processing is impaired and recognition is impaired, there is a possibility it could impair children’s ability to navigate through social interactions with their peers and teachers, and this could lead to issues forming important relationships.” The researchers did not challenge the assumption that masks prevent covid.

(There are many other studies showing the harm of masks for children other than medical harms. I give only this one example here, because it is a problem to which we can all relate, since adults’ recognition of each other is disrupted almost as much.)

Part 3 - PCR tests, most trusted of Covid tests: Unreliable

The CDC finally admits that PCR covid tests can't tell live from dead virus so they give positive results for 12 weeks after covid is gone.

The PCR test can't even distinguish between covid and other illnesses! The inventor of the PCR test, Kary Mullis, who won a Nobel Prize for his work, explains this in a video that is in an article by Joseph Mercola, from which this selection is summarized.

From the earliest days of the COVID pandemic, the PCR test has been a source of unrelenting controversy, with experts repeatedly pointing out that it’s not a valid diagnostic and produces inordinate amounts of false positives.

Importantly, a PCR test cannot distinguish between “live” viruses and inactive (noninfectious) viral particles. This is why it cannot be used as a diagnostic tool. As explained by Dr. Lee Merritt in her August 2020 Doctors for Disaster Preparedness1 lecture, media and public health officials appear to have purposefully conflated “cases” or positive tests with the actual illness in order to create the appearance of a pandemic. A PCR test cannot confirm that SARS-CoV-2 is the causative agent for clinical symptoms as the test cannot rule out diseases caused by other bacterial or viral pathogens. The inventor of the PCR test, Kary Mullis, who won a Nobel Prize for his work, explains this in the video.

Almost universally, health authorities have also instructed labs to use excessively high cycle thresholds (CTs) — i.e., the number of amplification cycles used to detect RNA particles — thereby ensuring a maximum of false positives.

From the start, experts noted that a CT over 35 is scientifically unjustifiable,2,3,4 yet the U.S. Food and Drug Administration and the U.S. Centers for Disease Control and Prevention recommended running PCR tests at a CT of 40, and the World Health Organization recommended a CT of 45.  Reaction,  Jon Rappoport, [ Youtube],  FDA.

So why, now? What the CDC admits was known two years ago. CDC director Walesky answered CNN, "It really had a lot to do with what we thought people would be able to tolerate,” she said. Some have understandably translated that as “how much tyranny we thought people would be able to tolerate.”

In his MSNBC interview, Fauci was asked why health care workers are being treated differently, having to isolate for seven days rather than five, and still have to get a negative test, when the test can falsely remain positive for up to 12 weeks? What data supports this, and is it publicly available?

According to Fauci, the data to support this difference “is internal to the CDC,” but really, there’s “no specific data” to back it up, he adds. The CDC merely made “a judgment call.”

The CDC’s belated admission that the PCR test can’t identify active infection raises another question: What does this mean for those who died with a positive test? Did they actually have an active infection? If not, should they have been designated as COVID deaths?

The obvious answer to the last two questions is, of course, no. The vast majority were likely false positives, and the real death toll from COVID-19 considerably lower than we’re led to believe. The CDC undoubtedly knew this all along, seeing how they’ve been relentlessly criticized for their recommendation to run the PCR at a CT of 40. They’re trying to pretend that they just realized this, but that’s simply not believable.

Part 4 - Vaccines Kill

Higher Death Rate among the Vaccinated

October 27, 2021: "The Office for National Statistics reports on vaccine effectiveness are grossly underestimating the number of unvaccinated people," (which leads to gross overstatement of their death rate), according to a British study by Martin Neil, Norman Fenton and Scott McLachlan at Queen Mary, University of London, UK. This is proved by "numerous discrepancies and inconsistencies" in "current publicly available UK Government statistics" which have this additional shortcoming: they "do not include raw data on mortality by age category and vaccination status....To determine the overall risk-benefit of Covid-19 vaccines it is crucial to be able to compare the all-cause mortality rates between the vaccinated and unvaccinated in each different age category."

The study tries to establish the facts despite these limitations. Since many deaths have several causes, ("comorbidities"), making it a bit subjective which cause was the primary cause of death, it is useful to check how many people died of all causes. This certainly does not directly measure how many died of covid, but it is a way to double check covid death rate claims.

The study found that among the unvaccinated, 25.3 people per hundred thousand died during the two month study period. But 89.34 died among those with a single covid vaccine dose! However, 14.7 died among those with two doses. This is "hard to explain", the study concedes.

But after analyzing multiple conflicting sets of government figures, the study explains why "there is the possibility that as many as 22 million people...were unvaccinated rather than the 9.5 million reported." If that is so, then the reported death rate for the unvaccinated would be about 2.5 times too high.

"Our analysis clearly suggests that...all-cause mortality (UMR) for vaccinated people, compared to unvaccinated people, is certainly higher in single dosed individuals and slightly higher in those who are double dosed."

A summary of this study was published by The Independent Sentinal.

LOWER Death Rate among the Vaccinated

The CDC, as in the preceding British study, looked at "all cause" deaths - deaths from all causes, including accidents - and found that the COVID shot reduces your risk of dying from all causes.

All causes, that is, except from covid! "They filtered out anyone who had died from Covid-19 or after a recent positive coronavirus test", CNN reported. The CDC excluded covid related deaths, being interested only in whether covid shots reduce deaths from every other cause EXCEPT covid! The CDC decided they do! (As reported by CNN Health, October 22, 2021

Huh?!

"Part of this is probably because people who get vaccinated tend to be healthier than people who don't, the researchers noted." Do you get the sense that something is missing from this story?

Dr. Joseph Mercola pointed out in November 10 that this study used the same statistical gimmick that the CDC used to "claim 99% of COVID-19 deaths and 95% of COVID-related hospitalizations were occurring among the unvaccinated" - by counting months where hardly anyone was vaccinated, and stopping their count just before "a rapid rise in vaccine-related deaths reported to the U.S. Vaccine Adverse Events Reporting System (VAERS)".

He writes, "the mortality rate in 2021 is 14% above the 2018 rate" which had the highest all-cause death rate before covid. "The obvious question is, why did more people die in 2021 (January through August) despite the rollout of COVID shots in December 2020? Did COVID-19 raise the death toll despite mass vaccination, or are people dying at increased rates because of the COVID jabs?"

Mercola also links to Matthew Crawford whose analysis shows that covid shots killed an estimated 1,018 people per million doses in Europe. He analyzed data in the 23 nations with the clearest data, comprising a quarter of the world's population. He estimates an average death rate of 411 per million doses. At 673 million doses as of August 1, that comes out to 276,603 deaths caused by covid vaccines, not counting other adverse events.

Mercola also cites Steve Kirsch, executive director of the COVID-19 Early Treatment Fund, who estimates that 300,000 Americans alone have been killed by covid vaccines, as 2 to 5 million more have been injured.

This is close to the 205,809 death estimate made in the following study by Dr. Rose.

Covid vs. Other Vaccines: UNSAFE

Jessica Rose, Ph.D., who holds degrees in applied mathematics, immunology, computational biology, molecular biology and biochemistry, presented a [ slide show] explaining VAERS reports. (Vaccine Adverse Event Reports.)

Over the previous 10 years, the highest report totals, for all vaccines combined, for any adverse reaction, was less than 50,000 for the year. During the first eight months of 2021, the total reports for covid vaccines alone was 521,667. By October 22 it grew to 837,593.

Deaths alone, over the previous 10 years, caused by vaccines, never rose above 183 for any year. During the first eight months of 2021, the total was 7,662. By October 22, 17,619.

But these figures are vastly underreported, by an estimated factor of 31, called the URF, the "under-reporting factor". URF-adjusted, covid shots through August are responsible for 205,809 deaths, 81,747 Bell's palsy cases, 149,017 herpes zoster infections, 305,660 paresthesia, 528,457 myalgia cases, 230,113 miscellaneous life threatening events, 212,691 permanent disabilities, and 7,998 birth defects. Oh, and 365,955 "breakthrough cases", the name for when someone who is fully vaccinated miraculously gets covid anyway.

43% of VAERS reports are made within 48 hours of either jab, so studies of vaccine safety which don't count anyone as "fully vaccinated" until 10 days after the second jab conveniently leave out the majority of vaccine-caused injuries and deaths. By day 10, Dr. Rose's chart shows that the surge of reports has dropped to a low steady level.

Covid Vaccines: Safer than Natural Immunity! says CDC

October 29, 2021, the CDC said the COVID jab actually offers five times better protection against COVID-19 than natural immunity! (Another CDC link.

Alex Berenson took this on the next day. He said the CDC relied on "raw data that actually showed almost four times as many fully vaccinated people being hospitalized with Covid as those with natural immunity — and FIFTEEN TIMES as many over the summer."

He linked to an August 25 preprint reaching the opposite conclusion.

He said the study runs counter to a much larger, much more honest study finding that "vaccinated people were 13 times as likely to be infected — and 7 times as likely to be hospitalized — as unvaccinated people with natural immunity."

Dr. Joseph Mercola summarizes Berenson's analysis, adding the analyses of Rep. Thomas Massie, Martin Kulldorff, Ph.D., professor of medicine at Harvard Medical School and a biostatistician and epidemiologist in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women's Hospital, along with his own observations.

Blocking Proven Safe and Effective Treatments

Hmmm. Merck, which makes Ivermectin, said in February, "We do not believe that the data available support the safety and efficacy of ivermectin beyond the doses and populations indicated in the regulatory agency-approved prescribing information."

Why would Merck repudiate its own drug, despite testimonials like a June study by the American Journal of Therapeutics: “Moderate-certainty evidence finds that large reductions in COVID-19 deaths are possible using ivermectin. Using ivermectin early in the clinical course may reduce numbers progressing to severe disease,” the study concluded. “The apparent safety and low cost suggest that ivermectin is likely to have a significant impact on the SARS-CoV-2 pandemic globally.”

Could it be that “The average cost for 4 Tablet(s), 3mg each of the generic (ivermectin) is $21.09,” WebMD recently noted, although prices are rapidly increasing, adding that “you can buy ivermectin at the discounted price of $11.44” while the U.S. government is set to buy 1.7 million courses of molnupiravir, the latest Merck covid cure, at $700 each, as Reuters reported?

Dr. Fauci is excited about the new expensive cure. "The news of the efficacy of this particular antiviral is obviously very good news.”

Epoch Times, "Republican Lawmakers Question Attacks on Ivermectin as COVID-19 Treatment, September 29, 2021. Ivermectin blocking.

"The American Medical Association, “strongly oppose” the prescribing of ivermectin to treat COVID-19 patients.

"...Pierre Kory claimed that ivermectin has helped reduce COVID-19 deaths by 88 percent with early treatment and cases of hospitalization by about 75 percent, based on data from Mexico City and Misiones, a province in Argentina where a large number of patients were treated with ivermectin.

"Kory also said COVID-19 cases significantly dropped in Uttar Pradesh, which was the first state in India to introduce large-scale use of ivermectin during the peak of the Delta surge in the country.

"More than 88,000 ivermectin prescriptions were reported in the United States in the second week of August, which is 24 times higher than the pre-pandemic level, according to the U.S. Centers for Disease Control and Prevention (CDC). The Food and Drug Administration (FDA) published an article warning against the use of the drug, stating that many have been taking a medicine intended for animals.

“'You are not a horse. You are not a cow. Seriously, y’all. Stop it,' the agency posted on Twitter on Aug. 21.

"FDA approval for ivermectin use to treat COVID-19 isn’t required for off-label prescriptions. Off-label use refers to using an approved drug to treat a different type of disease that the drug isn’t approved to treat. Nearly 20 percent of all prescriptions written in the United States are off-label.

"There are now threats from medical boards to take away licenses from doctors who prescribe ivermectin, Kory said.

“'I cannot describe the harm, and the tragedy, and the actual humanitarian crisis that this is causing,' he said."

Doctors and Scientists' Declaration

UPDATE: as of 10:30am ET on 9/29 over 7,200 doctors & scientists have signed the Rome Declaration. Excerpts:

WHEREAS, public policy makers have chosen to force a “one size fits all” treatment strategy, resulting in needless illness and death, rather than upholding fundamental concepts of the individualized, personalized approach to patient care which is proven to be safe and more effective; ... WHEREAS, thousands of physicians are being prevented from providing treatment to their patients, as a result of barriers put up by pharmacies, hospitals, and public health agencies, rendering the vast majority of healthcare providers helpless to protect their patients in the face of disease.  Physicians are now advising their patients to simply go home (allowing the virus to replicate) and return when their disease worsens, resulting in hundreds of thousands of unnecessary patient deaths, due to failure-to-treat; …

RESOLVED, that the political intrusion into the practice of medicine and the physician/patient relationship must end. Physicians, and all health care providers, must be free to practice the art and science of medicine without fear of retribution, censorship, slander, or disciplinary action, including possible loss of licensure and hospital privileges, loss of insurance contracts and interference from government entities and organizations – which further prevent us from caring for patients in need. More than ever, the right and ability to exchange objective scientific findings, which further our understanding of disease, must be protected.

RESOLVED, that we invite the scientists of the world, who are skilled in biomedical research and uphold the highest ethical and moral standards, to insist on their ability to conduct and publish objective, empirical research without fear of reprisal upon their careers, reputations and livelihoods.

RESOLVED, that we invite patients, who believe in the importance of the physician-patient relationship and the ability to be active participants in their care, to demand access to science-based medical care.

CDC Reminds People To Listen To All Medical Professionals Except For The Tens Of Thousands Who Refused The Vaccine (Satire)

"WASHINGTON, D.C.—The CDC today issued a reminder for Americans to trust healthcare professionals when learning about the vaccine—except if said doctor disagrees with the government, in which case he should be ignored and fired....

"The administration has promised to make it easy to recognize unvaccinated medical professionals by ensuring they are unemployed. If one of these out-of-work doctors attempts to talk about the vaccine, the CDC has recommended citizens place their fingers in their ears and begin singing 'Baby Shark'."

[https://babylonbee.com/news/cdc-reminds-people-to-listen-to-all-medical-professionals-except-for-the-tens-of-thousands-who

Congressman Gohmert: Attack on Invermectin is a Crime Against Humanity

Gongressman Louis Gohmert published an article listing the evidence that Ivermectin slashes covid danger, and naming those responsible for blocking it, with dates and links.

By Congressman Louis Gohmert,  American Greatness, 30th September 2021

Brief history of HCQ suppression

After tremendous success treating covid patients, Dr. Vladimir Zelenko went to great lengths to share his clinical findings, published in a medical journal, with the Trump White House but there was no interest, and no support. He recalls this in a video about general U.S. resistance to a covid cure.

His study was first published in June 30, 2020, as a "preprint", meaning it was not yet peer-reviewed. He had two co-authors. Here is the peer-reviewed version, published the following December.

The study shows that treating COVID-19 patients who had confirmed positive test results "as early as possible after symptom onset" with zinc, low dose HCQ and azithromycin reduced odds of hospitalization by 84% and all-cause death by 500% compared to no treatment at all.

"What's happened over the last 20 years is that the academic elite and pharmaceutical industry have bred a monopoly on medical truth," he says.

"They feel only data generated through randomized control trials, pharmaceutical sponsored trials, or those that are coming out of major academic institutions are to be viewed as truth. Anything coming from a frontline country doctor must be anecdotal.

"That's the crime here. And they created artificial barriers that prevented the flow of common sense and lifesaving information.

"From the start, doctors who used the drug were threatened with the loss of their medical license, which is unheard of for a drug with such a long history of safe use.

"The U.S. government made matters worse by only issuing emergency use authorization for in-hospital use and not for outpatient settings. Meanwhile, HCQ has been used for about 60 years in people with chronic conditions such as lupus and rheumatoid arthritis....

"Common sense no longer matters. ...Even if a doctor was willing to give it, patients were afraid to take it."

The biggest reason for the fear was unfortunately due to falsified studies and trials using toxic doses. ...

Then, of course, there were financial interests at play. Millions of dollars were being invested into new drugs like remdesivir, for example — a drug that costs more than $3,000 per treatment and is only for in-hospital use.

Hospitals were also paid tens of thousands of dollars more for COVID-19 patients, so there was no lack of incentive to get people into the hospital and keep them there either. Meanwhile, Zelenko's early outpatient treatment costs about $20.

As for the fraudulent and misleading studies, the first to raise alarm was a VA study in Virginia, which found HCQ didn't prevent death. However, they only used it on late-stage patients who were already on ventilators. From there, they incorrectly extrapolated that it would not be helpful in earlier stages, which simply isn't true. Other trials simply used the wrong dosage.

While doctors reporting success with the drug are using standard doses around 200 mg to 400 mg per day for either a few days or maybe a couple of weeks, studies such as the Bill & Melinda Gates-funded3 Recovery Trial used 2,400 mg of hydroxychloroquine during the first 24 hours — three to six times higher than the daily dosage recommended4 — followed by 400 mg every 12 hours for nine more days for a cumulative dose of 9,200 mg over 10 days.

Similarly, the Solidarity Trial, led by the World Health Organization, used 2,000 mg on the first day, and a cumulative dose of 8,800 mg over 10 days. These doses are simply too high. More is not necessarily better. Too much, and guess what? You might kill the patient. As noted by Zelenko, these doses are "enough to kill an elephant."

It's really unclear as to why these studies used such enormous doses, seeing how the dosages this drug is normally prescribed in, for a range of conditions, never go that high. "All those studies did was prove that if you poison someone with lethal doses of a drug, they're going to die," Zelenko says.

Then there was the famous Lancet study that the World Health Organization used to justify essentially banning HCQ. This study was withdrawn when it was discovered that the data had been completely and utterly fabricated with falsely generated data from a fly-by-night company. It was supposed to be a meta-analysis of about 90,000 patients, which showed HCQ had lethal effects.

Unfortunately, before it was withdrawn, this fake study resulted in the WHO (or to quote Zelenko, the "world homicide organization") putting a moratorium on the use of HCQ, which didn't improve public trust in the drug. Even more egregious, the U.S. Food and Drug Administration used that fake paper as one of its justifications for removing the emergency use authorization for HCQ, even though the study had already been retracted.

This report is summarized from Dr. Joseph Mercola's report, published 10/17/2021 but pulled offline 48 hours later, on Dr. Zelenko's work and his video. The article goes on to accuse those responsible for these anti-health actions of being a lot more guilty than of merely being stupid.

Hydroxychloroquine - MUCH better than nothing

The American Journal of Medicine published a study 8/6/2020 documenting the foolishness of sending early covid patients home with no treatment. It reviewed what was known then about various successful early treatment of covid.

Doctors Peter McCullough, Harvey Risch, and 21 other doctors co-authored the peer-reviewed study.

"The current epidemiology of rising COVID-19 hospitalizations serves as a strong impetus for an attempt at treatment in the days or weeks before a hospitalization occurs.... it is conceivable that some, if not a majority, of hospitalizations could be avoided with a treat-at-home first approach with appropriate telemedicine monitoring and access to oxygen and therapeutics."

"As in all areas of medicine, the large randomized, placebo-controlled, parallel group clinical trial in appropriate patients at risk with meaningful outcomes is the theoretical gold standard for recommending therapy. These standards are not sufficiently rapid or responsive to the COVID-19 pandemic....If clinical trials are not feasible or will not deliver timely guidance to clinicians or patients, then other scientific information bearing on medication efficacy and safety needs to be examined. Cited in this article are more than a dozen studies of various designs that have examined a range of existing medications."

Here is a flow chart for doctors to use, as an example of a treatment for covid in the early stages which available evidence indicates is effective:

HCQ Early Treatment Flow Chart.gif

Vaccines Kill More than they Cure

Fifth Largest Life Insurance Company Reports a “Catastrophic” 40% increase in deaths in 2021

August 16, 2022

Lincoln National Life Insurance Company’s Employer-provided Group Life Insurance policies for employees ages 18 through 64 paid out $500 M in death benefits in 2019, the year before the pandemic, and $548 million, a 9% increase in the 1st year of the pandemic, and out $1.4 Billion, in the first full year of the vaccine, in which about 90% of the adult population were vaccinated, and which included mandatory vaccines for employees of many companies). The $1.4 Billion in 2021 was a 163% increase over the amount paid in the 1st year of the pandemic. Lincoln National stated that these increases were due to “non-pandemic related morbidity” and “unusual claims adjustments”

Its CEO of One America Life Insurance company, said that “We are seeing, right now [in 4th quarter 2021] , the highest death rate we have seen in the history of this business — not just at One America. The data is consistent across every player in that business. [The increase in deaths represents ‘huge, huge numbers,’ and it’s not elderly people who are dying, but ‘primarily working age people 18-64’ who are the employees of companies that have group life insurance plans through One America]

And what we saw just in third quarter, [and are seeing in] the fourth quarter, is that death rates are up by 40% over what they were pre-pandemic. Just to give you an idea of how bad that is, a three sigma or a one in 200-year catastrophe would be 10% increase over pre-pandemic . . . So 40% is just unheard of.”

Lincoln National is a large life insurance company that’s so old that when it was started, the founders actually asked Abraham Lincoln’s son whether it was okay to use his father’s likeness in their company branding.

How many deaths are represented by the 163% increase? It is not possible to determine by the dollar figures on the statements.

But the average death benefit for employer-provided group life insurance, according to the Society for Human Resource Management, is one year’s salary.

If the average annual salary of people covered by group life insurance policies in the United States is $70,000, this may represent 20,647 deaths of working adults, covered by just this one insurance company. This would represent at least 10,000 more deaths than in a normal year for just this one company.

(source: Epoch Times)

Vaccines Kill 1 in 800 in Netherlands and England

"Now it’s very clear that there is a good correlation between the number of vaccinations that are given to people and the number of people that die within a week after that.” It is clear from seeing a jump in the total number of deaths in excess of the five-year-average of the number of deaths, while nothing else seems to have changed other than a huge new wave of covid shots. Dr. Schetters, a recipient of the Medal of Honour of the Faculty of Pharmacy at the University of Montpellier in France, said it is essential to look at all-cause mortality, as the vaccine “potentially affects all organs.”

A tight correlation between jabs and deaths appears when put on a graph.

In the Netherlands the booster rollout in different regions was staggered over a number of weeks allowing an analysis by region. In other words, using the U.S. for an example, Iowa has mass inocculations, and a week later thousands die beyond the average death rate. The death rate in other states is unchanged. Then Nebraska has mass inocculations, and a week later thousands die beyond the average death rate, while the death rate in other states remains unchanged. etc.

By comparing "all cause mortality" rates with past averages and with vaccine rollouts, Schetters roughly calculates that covid shots kill about one in 800 who get them.

An interview with Schetters, by Dr. Robert Malone who invented the mRNA process, describes many steps taken to rule out other possible causes.

An example of the correlation in England: August 2, 2022 figures from England's Office for National Statistics reveal that deaths from all causes were 18.1% higher - 1,680 - than the previous five-year average of "non-Covid deaths registered in England and Wales in the 13 weeks since April 23rd."

During that period, 4,182,483 spring covid boosters were given until July 22nd.

745 mentioned COVID-19 on the death certificate as a contributory cause and 463 mentioned COVID-19 as underlying cause, leaving 1,217 deaths from a different underlying cause.

England's government doesn't seem curious. "When Member of Parliament Esther McVey, Chair of the Pandemic Response and Recovery All-Party Parliamentary Group (APPG), submitted a written question asking the Cabinet Office what steps it was taking 'to investigate the higher than expected rate of deaths of 12.2% above the five-year average'", she was "referred to the U.K. Statistics Authority, which, in turn, ...said it will continue to publish the relevant statistics."

Dr. Theo Schetter, a vaccinologist based in the Netherlands who has played a leading role in the development of a number of vaccines, has analysed the official data from the Dutch Government and found a very close correlation between when fourth vaccine doses were administered in the country and the number of excess deaths. "The correlation is striking, , to the extent that if you have more vaccines in a week then you also have more excess deaths, and if you have fewer vaccines in a week, you have fewer deaths."

Dr. Schetters says he has written to the Director of the Institute of Health in the Netherlands to alert him to the findings. “…So what we’ve done is we have written a registered letter to the director of our Institute of Health and presenting the results and expressing my concerns....[and asking], please reconsider vaccination strategy."

Dr. Theo Schetters: "...of course, we do not get the real, what we call the granular data, which means that we do not have this from person by person. These are group type figures. So that group received that number of vaccines. And in that age group, you see this number of excess mortality. But we do not know whether this is really correlated one by one. And so that’s why we asked for more data, because Ronald Meester said – Ronald Meester is a professor in statistics and we’ve discussed it here and said, okay, give us those data within a week.

"We know what’s happening. Simple. But we can’t get the (granular) data. So that leaves us with a correlation, with an observation. But I think, by now, it’s getting so strong that at least, if you talk about precautionary measures- that’s the way they sold the vaccines, actually, they sold them as precautionary measures. So to keep us safe. Then I would say, I use the same argument now. If I see these correlations, although I cannot prove causality at the moment, from a precautionary measure, you should say let’s stop this."

(Clarification: this information is not from published research but from an interview.)

17,000 doctors: Stop the Jabs!

Dr. Robert Malone heads an organization of 17,000 doctors who agree covid vaccines should be halted.

“I stand as the President of the International Association of Physicians and Medical Scientists. So we’re 17,000 that are only physicians and medical scientists, all verified, no nurses, not because we don’t like nurses, but it has to do with the positioning with the press and messaging. So that’s the basis for our organisation.

“Months ago, we came out with a press conference in a clear unequivocal statement that one can find at www.globalcovidsummit.org where we made a clear, unambiguous statement. In our opinion, as an organisation, these vaccines should be withdrawn. They are no longer justified on a risk-benefit ratio. And as the person who is responsible for the genesis of this technology, I’m often criticised. Didn’t I realise what I was doing? And there’s no way for me to have known that the normal standards for regulatory development and testing and clinical would be circumvented.

“But I stand as someone who has intimate, detailed knowledge of the technology and its risks and benefits, the nature of the formulations, the role of the pseudouridine, [Pseudouridine is the most abundant modified type of nucleoside across all species of RNA] all of those things. It’s my opinion and that of the organisation that I represent, that the data are now sufficiently clear that, in our opinion, the ongoing campaign for vaccination is no longer warranted.”

Toddlers Getting Seizures from Vaccinations

Reported by Steven Kirsch July 5, 2022

I’m getting multiple reports from my nurse friends about kids 2 and 3 years old having seizures. It is ONLY happening on vaccinated kids, and symptoms start 2 to 5 days after the COVID vaccine.

The medical staff is not permitted to talk about the cases to the press or on social media or they will be fired....doctors are instructed to convince the parents that it isn’t vaccine related and that they are the only ones having the problem.

Total American deaths up 40% among vaccinated

Working age people (18 to 64) are dying at a rate that is 40% higher than prepandemic rate, reports OneAmerica, a national life insurance company. There is also an increase in long term disability claims. The Insurance Regulatory and Development Authority of India also reports a 41% rise in death claims in 2021. Deaths attributed to covid are significantly down from 2020 to 2021, leaving the experimental covid vaccines the only other medical event able to account for such a high death toll.

Scott Davidson, CEO of OneAmerica, explained: "death rates are up 40% over what they were pre-pandemic. Just to give you an idea of how bad that is, a three-sigma or a one-in-200-year catastrophe would be 10% increase over pre-pandemic. So, 40% is just unheard of." Statistician Steve Kirsch writes that “Normally death rates don’t change at all. They are very stable. It would take something REALLY BIG to have an effect this big. The effect size is 12-sigma. That is an event that would happen by pure chance every 2,832 years....It’s basically never."

Kirsch notes that There are more excess deaths than any time in history, indicating some very different, very new cause. Like the vaccine rollout, which is when total deaths rose. Deaths have a reported wide variety of causes, ruling out any single pathogen, but consistent with the fact that doctors and scientists have detailed several mechanisms of action by which the COVID shots can maim or kill.

So what is Scott Davidson's solution? Why, of course: require all OneNow employees to get vaccinated!

Meanwhile New York State AssemblymanPatrick Burke (D-Buffalo) proposed punitive legislation that would permit insurers to deny COVID-related treatment coverage for individuals who choose not to get vaccinated! And many of those injured by COVID vaccines report denials of health and disability insurance coverage!

Studies documenting vaccine deaths

(1) Covid vaccines cause 38% more cases, and 31% more deaths, according to a study named "Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A BigData Analysis of 145 Countries". (PDF)

The abstract of the study states: "The statistically significant and overwhelmingly positive causal impact after vaccine deployment on...total deaths and total cases per million...indicate a marked increase in both COVID-19 related cases and death due directly to a vaccine deployment.

(2) "The correlation between the excess mortality in [Germany] and their vaccination rate when weighted with the relative number of inhabitants...is .31. This number is surprisingly high and would be negative if vaccination were to reduce mortality. For the period under consideration (week 36 to week 40, 2021), the following applies: The higher the vaccination rate, the higher the excess mortality." PDF. The last clause is the title of the study.

(3) "This study shows that after three months the vaccine effectiveness of Pfizer & Moderna against Omicron is actually negative. Pfizer customers are 76.5% more likely and Moderna customers are 39.3% more likely to be infected than unvaxxed people." That is actually the first comment after the post on the medrxiv medical website. The comments criticize the study for rosy vaccine conclusions not supported by its own evidence.

(4) "German Government Data for the alleged Omicron variant of Covid-19, suggests that most of the 'fully vaccinated' will have full blown Covid-19 vaccine-induced acquired immunodeficiency syndrome (AIDS) by the end of January 2022, after confirming that the immune systems of the fully vaccinated have already degraded to an average of minus 87%." The Expose, analysis based on German official figures.

(5) "The latest figures published by the UK Health Security Agency show that despite the elderly and vulnerable receiving a booster shot in September and October, and the NHS turning into the National Booster Service ever since, the triple/double vaccinated population still accounted for 4 in every 5 Covid-19 deaths throughout December 2021." The Expose.

(6) "Lancet: 89% Of New UK COVID Cases Among Fully Vaxxed." - Principia Scientific International. In England, covid transmission was 25% of vaxxed families but 23% in unvaxxed. In Germany, "breakthrough cases" (where a fully vaxxed person gets covid) were 16.9% last July but had climbed to 58.9% by October 27, among people 60 and over. Back in England, "a total of 100,160 COVID-19 cases were reported among citizens of 60 years or older during weeks 39-42. 89,821 occurred among the fully vaccinated (89.7 percent), 3395 among the unvaccinated (3.4 percent)". "The week before...in all age groups over 30", the case rate was higher among the vaxxed than among the unvaxxed." In a study 14 fully vaxxed patients died or became seriously ill; the two unvaxxed patients only had mild disease. Lancet conclusion: "Many decision makers assume that the vaccinated can be excluded as a source of transmission. It appears to be grossly negligent to ignore the vaccinated population as a possible and relevant source of transmission when deciding about public health control measures."

(7) James Lyons-Weiler recently showed that the US state data shows that the more we vaccinate, the higher the # of COVID cases.

(8) "Increases in COVID-19 are unrelated to levels of vaccination across 68 countries and 2947 counties in the United States" That's the title of a study published at pubmed.

The introduction begins: "Vaccines currently are the primary mitigation strategy to combat COVID-19 around the world. For instance, the narrative related to the ongoing surge of new cases in the United States (US) is argued to be driven by areas with low vaccination rates." BUT...

"countries with higher percentage of population fully vaccinated have higher COVID-19 cases per 1 million people." "Of the top 5 counties that have the highest percentage of population fully vaccinated (99.9–84.3%), the US Centers for Disease Control and Prevention (CDC) identifies 4 of them as “High” Transmission counties. Chattahoochee (Georgia), McKinley (New Mexico), and Arecibo (Puerto Rico) counties have above 90% of their population fully vaccinated with all three being classified as 'High' transmission. Conversely, of the 57 counties that have been classified as 'low' transmission counties by the CDC, 26.3% have percentage of population fully vaccinated below 20%."

"Even though vaccinations [ostensibly] offers protection to individuals against severe hospitalization and death, the CDC reported an increase from 0.01 to 9% and 0 to 15.1% (between January to May 2021) in the rates of hospitalizations and deaths, respectively, amongst the fully vaccinated."

60 times more deaths from covid vaccines than all other vaccines combined, even though thousands of reports are being deleted

(Summarized from a Dr. Mercola report which is no longer online.)

Over the past 10 years before covid vaccines, the average number of deaths was 155 from all vaccines combined. There are now 60 times that many deaths from the covid vaccines alone. Over 10,000. Is there any number of deaths that should make Americans and our government treat the vaccines as unsafe?

As of November 26, 2021, the death toll was 8,986 in the U.S. and its territories, and 19,532 worldwide.

The VAERS (Vaccine Adverse Event Reports)is a central database of vaccine injuries established in 1990. It takes an average half an hour for a doctor to fill out the forms, and most people haven't heard of it so patients don't know they can fill out the information themselves; so only a fraction of "adverse events" are reported. Estimates range from 10%, to only 1% Steven Hirsch has calculated that for covid vaccines, there are 41 times more events than are reported. Jessica Rose found that Pfizer's own trial data supported 31 times more events. Ronald Kostoff has also published a paper in Toxicology Reports, and his estimate is 100.

The U.S. Food and Drug Administration and Centers for Disease Control and Prevention outrageously deny that a single death can be attributed to the COVID jabs. Jessica Rose, Ph.D., a research fellow at the Institute for Pure and Applied Knowledge in Israel, observes, “It's not even statistically plausible to say that not one death out of 10,000 was caused [by the shot]. It’s not scientific to say that ... Those people, not 100% of them would have died anyway? That's not how life works.”

The Bradford Hill criteria are 10 criteria of whether a death after a jab was actually caused by the jab. One is how soon after the jab a death occurred in a previously healthy person. About 50% of reported vaccine deaths are within 24 hours of the jab.

In addition to the underreporting factor, reports are actually being deleted! Rose investigated this after seeing videos saying hundreds, perhaps thousands, of people had their reports deleted. She’s been downloading all the data sets since January 2021, and comparing the data sets. They are updated each week, so she has copies of all of them and can see which reports are removed from later reports!

She confirmed the deletion of over 1,000 reports. 18% of them were deaths. A lot of babies' reports were removed, which could be because babies aren't supposed to get covid shots - although there is evidence in the VAERS reports that doctors are not confirming age before jabbing. 5,570 reports had a metric code indicating that the product was given to a patient of inappropriate age. But the removals are made without explanations.

"60 children had died between the ages of zero and 18, and 38% of those children were under 2. [The next week] that [reported] percentage went down to 30%....What happened to them?...there was this big chunk of data for the 50- to 75-year-olds pertaining to myocarditis reports last week, and this week, it's one-half."

To learn more, be sure to peruse Rose’s website, Jessica’s World. There, you’ll find links to videos in which she summarizes her various findings, and a weekly graphic update of the latest VAERS data for death, female reproductive issues, breakthrough COVID infections, cardiovascular events and immunological events.

Another excellent resource is OpenVAERS, which summarizes the most pertinent VAERS data for you on a weekly basis.

Vaccination Doubles the Death Rate

The death rate for England's vaccinated is double that of England's unvaccinated, the chart below shows. The chart shows how many people per 100,000 died during each month of all causes. That doesn't directly tell how many died of covid; maybe no vaccinated Englishmen died of covid, but they just happened to have twice as many auto accidents. However, the fact that twice as many vaccinated died as unvaccinated, without any alternative theory to explain the difference, certainly points to vaccinations as the cause of that many more deaths.

Alex Berenson, Thanksgiving Day 2021: The brown line represents weekly deaths from all causes of vaccinated people aged 10-59, per 100,000 people.

The blue line represents weekly deaths from all causes of unvaccinated people per 100,000 in the same age range.

VACCINE causes double deaths.png

Vaccinated English adults under 60 are dying at twice the rate of unvaccinated people the same age And have been for six months. This chart may seem unbelievable or impossible, but it’s correct, based on weekly data from the British government.

I have checked the underlying dataset myself and this graph is correct. Vaccinated people under 60 are twice as likely to die as unvaccinated people. And overall deaths in Britain are running well above normal.

I don’t know how to explain this other than vaccine-caused mortality.

The basic data is available here, download the Excel file and see table 4.

German Vaccines Correlated with Higher Deaths

"Complete vaccination increases the likelihood of death" is the conclusion of a German comparison of vaccination rates and death rates in 16 countries reported by the Steve Kirsch [statistician Newsletter], November 20, 2021. The correlation was documented in all 16 countries.

The authors write (translated into English): “The correlation is + .31, is amazingly high and especially in an unexpected direction. Actually, it should be negative, so that one could say: The higher the vaccination rate, the lower the excess mortality. However, the opposite is the case and this urgently needs to be clarified. Excess mortality can be observed in all 16 countries…”

Kirsch says this is consistent with his own analysis of covid statistics showing "The smallpox vaccine used to be the most dangerous vaccine in human history. The COVID vaccines are over 800 times more deadly." He has a $1,000,000 offer for anyone who will debate. (See following article.)

The original study, in German.

PDF of an English translation

German article about it.

From the article, using a Google translate plugin:

"Federal states [nations] with a high vaccination rate have the highest excess mortality. The higher the vaccination rate, the higher the excess mortality. November 19, 2021.

"The physicist Dr. Ute Bergner, who formerly belonged to the FDP parliamentary group in the Thuringian state parliament, commissioned an analysis which she presented November 17 in her speech before the Thuringian state parliament.

"She commissioned two statisticians, Prof. Dr. Rolf Steyer and Dr. Gregor Kappler, to investigate whether there was a connection between the vaccination rate and excess mortality in the 16 federal states [nations].

"The results are alarming. The summary of the analysis states:

"Excess mortality can be found in all 16 countries. The number of Covid deaths reported by the RKI in the period under review consistently only represents a relatively small part of the excess mortality and above all cannot explain the critical issue:

"The higher the vaccination rate, the higher the excess mortality.

"The most direct explanation is: Complete vaccination increases the likelihood of death."

$1,000,000 offer for anyone who will debate

Dr. Steven Kirsch is so confident in his analyses, he’s offered a $1 million academic grant to anyone who can show his analysis is flawed by a factor of four or more. So far, no one has stepped up to claim the prize. He’s even offered $1 million to any official willing to simply have a public debate with him about the data, and none has accepted the challenge.

(This summary of Kirsch's challenge consists of quotes from the summary by Dr. Joseph Mercola posted 10/9/2021; Mercola leaves his posts up only 48 hours. Mercola's title: "More Than 200,000 Have Already Died From the COVID Jab in the US". Lower down, Mercola summarizes the evidence that "An estimated 300,000 Americans suffered permanent disability from the COVID shots, and anywhere from 2 million to 5 million may have suffered adverse reactions".)

Kirsch addresses "Five False Narratives" about jab safety:

1. The shots are safe and effective

2. No one has died from the COVID shot

3. You cannot use VAERS [the Vaccine Adverse Effects Registry] to determine causality.

4. The SARS-CoV-2 spike protein [which the vaccine genetically orders healthy cells to create] is harmless

5. Only a few adverse events are associated with the shots and they’re all “mild”.

Here are his "Five False Narratives" about treatment solutions:

1. Vaccines are the only way to end the pandemic

2. Vaccine mandates are therefore needed

3. Masks work

4. Early treatments do not work

5. Ivermectin is dangerous

Kirsch and his entire family took the COVID shot early on, so he’s not coming from an “anti-vax” position.

Kirsch cites information from Dr. Peter Schirmacher, chief pathologist at the University of Heidelberg, who is recognized as one of the top 100 pathologists in the world. Schirmacher did autopsies on 40 patients who died within two weeks of their COVID jab, and found 30% to 40% of them were conclusively due to the shot, as there was no other underlying pathology that could have caused the deaths. Now, he did not rule out that 100% of the deaths could have been caused by the shots. He just could not conclusively prove it.

There’s also Pfizer’s six-month study, which included 44,000 people. During the blinded period of the study, the deaths were just about even — 15 deaths in the vaccine group and 14 in the control group. So, one life was saved by the shot.

But then, after the study was unblinded and controls were offered the vaccine, another three in the original vaccine group died along with two original placebo recipients who opted to get the shot. None of these deaths was considered related to the Pfizer “vaccine,” yet no one knows what they actually died from.

So, the final tally ended up being 20 deaths in the vaccine group and 14 deaths in the control group. What this tells us is the Pfizer shot offers no all-cause mortality benefit. The shot saved one life, and killed six, which gives us a net-negative mortality rate. The reality is that five times more people are killed by the shot than are saved by it.

How come nearly 15,000 reported deaths haven’t set off emergency alarms and in-depth investigations? Historically, 50 deaths have been the cutoff point at which a vaccine is pulled.

68 Countries, 2947 counties: The more vaccinations, the more Covid

The European Journal of Epidemiology published its study 0/30/2021. From its "Findings":

"There appears to be no discernable [reduction of Covid from increasing the percentage of people fully vaccinated.] In fact, the trend line suggests...that countries with higher percentage of population fully vaccinated have higher COVID-19 cases per 1 million people. Notably, Israel with over 60% of their population fully vaccinated had the highest COVID-19 cases per 1 million people in the last 7 days. [If we compare] Iceland and Portugal....Both countries have over 75% of their population fully vaccinated and have more COVID-19 cases per 1 million people than countries such as Vietnam and South Africa that have around 10% of their population fully vaccinated.

"Across the US counties too,...There also appears to be no significant signaling of COVID-19 cases decreasing with higher percentages of population fully vaccinated.

"Of the top 5 counties that have the highest percentage of population fully vaccinated (99.9–84.3%), the US Centers for Disease Control and Prevention (CDC) identifies 4 of them as “High” Transmission counties....Conversely, of the 57 counties that have been classified as “low” transmission counties by the CDC, 26.3% (15) have percentage of population fully vaccinated below 20%."


"All Cause Mortality" up, implicating vaccines

Deaths in the U.S. from all causes are 16% higher than in 2018, the highest pre-covid year. This is a pretty indirect way to measure how many died of covid, or of vaccines, but it raises the question, why didn't the death rate go down since vaccines were rolled out last December? Weren't the vaccines supposed to lower the death rate? Are vaccines killing anyone?

The 16% figure is calculated by Jeremy Horpendahl based on 2015-2019 CDC data and 2020-2021 CDC data.

A Statistician's Evidence that Death Rates Increase as Vaccinations Increase

Matthew Crawford, statistician and educator, explains that for every million doses of covid vaccines delivered, 200-500 people die.

there are 200-500 deaths per million doses of covid vaccines, according to deaths reported as covid deaths. "This would suggest, based on 4 billion doses already administered throughout the world, that 800,000 to 2,000,000 of the COVID-19 deaths recorded are actually vaccine-induced deaths."

This is difficult to confirm because U.S. officials "behave as if examination of the bodies is completely unnecessary". But based on examination of bodies in Norway, their death rate per million doses comes out to 575. Then there is "Cambodia, which has 1442 COVID deaths as of earlier this week---every one since the start of the vaccination program...COVID deaths per day have been 11.61 times as high for these nations [where statistics are reasonably reliable, with a quarter of the world's population] as prior to the outset of vaccination! 5 of these 13 nations have seen over 90% of their COVID-19 fatalities since the outset of vaccination programs. Only Uzbekistan has seen less than 48.5% of its COVID-19 deaths since the start of its vaccination program."

The number of new COVID cases (i.e., positive tests) after the start of the COVID jab campaign is 3.8 times higher than it was before the rollout of the shots, and the daily COVID death rate is 3.82 times higher.

"Meanwhile, health authorities still seem to have no issue with the lack of risk report or risk-benefit analysis performed by any of the vaccine manufacturers or anyone else. This strikes me as one of the worst signs in my lifetime that corporations have taken over government on an essentially complete level."

Grossly Exaggerated Covid Deaths

Vaccine mandates are justified by a frightening number of unvaccinated people dying of covid. Apparently an accurate report of how many are dying is not frightening enough. Several county coroners in Colorado, in small counties where a single coroner processes every death and therefore knows if government stats are reporting for their county correctly, have noticed a number of stats reporting covid deaths where covid had nothing to do with death and was never mentioned on death certificates. Some were not even dead. They went together to their governor to ask him to fix the problem, but the governor said he doesn't want to handle stats differently than all the other states. See story at Full Measure News, 9/18/2021.

Grossly Underreported Vaccine Deaths

Non-severe "Breakthrough Cases" Not Tracked

Pro Publica, 8/20/2021. "On May 1 of this year — as the new variant found a foothold in the U.S. — the Centers for Disease Control and Prevention mostly stopped tracking COVID-19 in vaccinated people, also known as breakthrough cases, unless the illness was severe enough to cause hospitalization or death."

“I was shocked,” said Dr. Leana Wen, a physician and visiting professor of health policy and management at George Washington University. “I have yet to hear a coherent explanation of why they stopped tracking this information.”

When the CDC halted its tracking of all but the most severe cases, local and state health departments were left to make up their own rules.

An example of the kinds of cases no longer counted as side effects of vaccines: "Meggan Ingram was fully vaccinated when she tested positive for COVID-19 early this month. The 37-year-old’s fever had spiked to 103 and her breath was coming in ragged bursts when an ambulance rushed her to an emergency room in Pasco, Washington, on Aug. 10. For three hours she was given oxygen and intravenous steroids, but she was ultimately sent home without being admitted."

There is now little consistency from state to state or even county to county on what information is gathered about breakthrough cases, how often it is publicly shared, or if it is shared at all.

The above report does not document underreported deaths, but underreported near fatalities that don't quite result in death or a full day in the hospital. Below, is a Project Veritas video link. It is posted on Youtube, so who knows how long before Youtube takes it down?

Why Few Vaccine-caused Deaths are Reported

But doctors are secretly filmed saying the reason vaccine deaths are hardly ever reported is that it takes half an hour to fill out the form, besides other pressure. A medical person is shown saying she was emphatically told she would lose her job if she makes Ivermectin available. The "whistleblower" says she is willing to give up her job for the truth after a friend, a nurse who for religious reasons held off getting the vaccine as long as she could, was finally forced to take it, and it killed her.

The Project Veritas video is 13 minutes.

Partial quotes from the video were reported by Dr. Joseph Mercola, 10/5/2021, but Mercola only posts his articles for 48 hours in an attempt I don't understand to ward off serious threats. He reports:

"In a stunning Project Veritas report, Jodi O’Malley, a nurse working for the U.S. Department of Health and Human Services, reveals health officials are ignoring and covering up COVID-19 vaccine injuries.

O’Malley says she’s seen “dozens of people come in with adverse reactions,” including myocarditis, congestive heart failure and deaths, yet the reactions are not being reported. This, despite the fact that both the U.S. Food and Drug Administration and the U.S. Centers for Disease Control and Prevention require any suspected injury from an emergency use vaccine to be reported.

“If everyone is supposed to gather this data and report it, but no one is reporting it, how will anyone know the vaccine is truly safe? They don’t,” O’Malley says.

Another whistleblower, Deborah Conrad, was recently featured in a Highwire exclusive. Conrad, a physician’s assistant, reveals there’s a complete disregard for the requirement to report COVID jab injuries at her hospital too.

Mercola also gave a link to a public hearing hosted by Senator Johnson where people gave horrendous stories of what the vaccine did to them and their children, for over an hour.

September 10, 2021, WXYZ-TV Channel 7 posted a request on Facebook, asking people who had lost an unvaccinated loved one to COVID-19 to contact them for a story. The post has received more than 241,000 comments and most are about someone who was injured or died from the COVID shot, or who got severe COVID-19 despite being fully vaccinated. You can browse through the comments here.

Hospital Administration Blocked VAERS Reporting

"over 90% of a Hospital’s Admissions were Vaccinated for Covid-19 and No One Was Reporting This to VAERS", reports Project Veritas 10/17/2021. (VAERS: Vaccine Adverse Events Reporting System.)

"A concerned Physician Assistant, Deborah Conrad, convinced her hospital to carefully track the Covid-19 vaccination status of every patient admitted to her hospital. ...[in] a community in which less than 50% of the individuals were vaccinated for Covid-19...approximately 90% of the individuals admitted to her hospital were documented to have received this vaccine."

Through a legal firm emails were sent to heads of five relevant federal agencies. No response, except that after that, "when doctors came to Ms. Conrad for assistance with filing VAERS report for their patients, the hospital prohibited her from filing these reports."

The lawyers' letter to the hospital says:

"... For the past few months, on her own time, Ms. Conrad has been assisting doctors and other medical professionals at the hospital to report such events to VAERS. Instead of praising her efforts, numerous individuals at the Hospital, including Tara Gellasch and Peter Janes, ordered Ms. Conrad to stop reporting to VAERS altogether unless the patient she was reporting on was her patient. Since being given this order, Ms. Conrad has knowledge of dozens patients whose conditions necessitate a VAERS report and whose treating nurses and doctors have not filed a VAERS report. As you are likely aware, healthcare workers are mandated by federal law to report certain medical events arising after vaccination to VAERS. Pursuant to 42 U.S.C. § 300aa-25:
Each health care provider and vaccine manufacturer shall report to the Secretary— (A) the occurrence of any event set forth in the Vaccine Injury Table, including the events set forth in section 300aa–14(b) of this title which occur within 7 days of the administration of any vaccine set forth in the Table or within such longer period as is specified in the Table or section, (B) the occurrence of any contraindicating reaction to a vaccine which is specified in the manufacturer’s package insert, and (C) such other matters as the Secretary may by regulation require...."

The two letters are worth reading in full. The first has contact emails for the 5 federal agency directors. The second has legal definitions of "adverse events" and more details about interaction with hospital administration. An administrator called her an "anti-vaxxer" for trying to fulfill the hospital's legal obligation to report "adverse events" to VAERS.

Grossly Exaggerating the Death Toll

Before Covid, during the 2017-2018 flu season, the CDC estimated that about 177,000 Americans died of flu and pneumonia. It was not a national panic. No lockdowns. No mask or vaccine mandates. Although people were advised to cough into their elbows, which was very weird.

On Sept. 22, 2021, CNN triumphantly announced that 200,000 people had died from COVID-19 in the United States. But on that same day, the CDC reported a total 187,072 deaths attributed in some way to COVID-19, but that number includes flu and pneumonia! It’s not clear how many deaths were caused by the coronavirus alone, how many died with but not simply from infection by the coronavirus, and how many died of other things but just happened to be infected around the time of death.

Less than a month earlier, the CDC had estimated that the virus directly caused only 6 percent, or now just over 11,000 of the 187,000 attributed deaths. The remaining 94 percent died with and not exclusively of the coronavirus. These people also were on average elderly and had 2.6 other serious health problems. In other words, most deaths attributed to the coronavirus were already very sick people.

Numbers of "cases" are irrationally inflated by counting people who aren't even sick, but who test "positive" on a test notorious for a high rate of "false positives". According to The COVID Tracking Project, in September we averaged over 800,000 tests every single day. Even if the "false positive" rate is as low as 1%, which some claim, every million tests will generate headlines about "10,000 new cases".

This information is summarized from Here’s how the media is deliberately misreporting COVID-19’s death toll in America

How to Make 13% effectiveness look like 90% effectiveness

The New England Journal of Medicine September 8, 2021 (DOI: 10.1056/NEJMoa2110362) said the vaccines are almost 90% effective. Effectiveness among those 85 and older, those with chronic medical conditions, as well as Black and Hispanic adults, ranged from 81% to 95%.

Effective at what? They estimated "vaccine effectiveness by comparing the odds of a positive test for SARS-CoV-2 infection among vaccinated patients with those among unvaccinated patients." That is, the goal of the study was to figure the odds of a positive covid test among vaccinated people compared with unvaccinated folks. The effectiveness was 89% [for avoiding] hospitalization, 90% [for avoiding] ICU admission, and 91% [for avoiding an] emergency department or urgent care clinic visit."

But those who had been vaccinated less than 14 days before their medical emergencies are excluded from that claim. "1872 hospitalizations and 1350 emergency department or urgent care clinic visits were excluded..." That excludes all whose hospitalizations were caused by the vaccine; a large number of serious effects from the vaccine within the first few days are widely reported.

The excuse for not counting them: "protective immunity is unlikely immediately after vaccination." With the most blissful disinterest in how many were hospitalized in reaction to the vaccines, the study says "the effectiveness of [vaccination] ...14 days after the first dose, but without the second dose was 54%...and the effectiveness of [vaccination] ...1 to 13 days after the second dose was 73%."

Limitations:

Second, the percentage of patients who were clinically tested for SARS-CoV-2 by molecular assay differed across network partners and clinical settings, and vaccine-effectiveness estimates can be biased if clinicians make testing decisions based on vaccination status.38,39


Sounds great! But look what they did to sound that great.


The study was extensive enough. Out of 103,199 hospitalizations over six months, over 41,000 cases were studied. Excluded were those under 50, and those whose jabs were within 14 days. Leaving out those recently jabbed skews the results, because the first 14 days are when

https://mobile.twitter.com/USMortality/status/1443431541737078789 Twitter Ben M September 30, 2021

the effectiveness of the mRNA shots against lab-confirmed SARS-CoV-2 infection, 14 or more days after injection, was 89%, on average.

The effectiveness of the Janssen “vaccine” against lab-confirmed infection leading to hospitalization was 68%, and 73% against infection requiring emergency care.

Heart Problems

How the Spike Protein Hurts the Heart Posted September 28, 2021 by Joseph Mercola but removed 2 days later. Excerpts:

As of September 3, 2021, the vaccine adverse event reporting system (VAERS) had received 675,591 reports of adverse events following vaccination. Of these, there were 14,506 deaths, 6,422 heart attacks and 5,371 cases of pericarditis or myocarditis.

It is important to note that the VAERS has tracked adverse events since 1990. In 2019, there were 605 reports of deaths from all vaccines given. In 2021, there were 14,594 deaths reported in nine months.

Although these numbers are significant, a 2010 Harvard study commissioned by the Department of Health and Human Services revealed data demonstrating the VAERS likely only represents approximately 1% of those who are injured....

Dr. J. Patrick Whelan is a pediatric rheumatologist who warned the FDA of the microvascular injury the vaccine may cause to the kidneys, brain, liver and heart before it was released to the public. Whelan specializes in treating children with multisystem inflammatory syndrome (MIS-C), which is associated with coronavirus infections.

In March 2021, a research study was published in the American Heart Association’s journal Circulation. However, it is important to note that the study was preprinted online in December 2020, before the first vaccine was administered in the U.S.

This is important, since the study demonstrated that the spike protein associated with SARS-CoV-2 damages endothelial function. In other words, before the emergency use authorization jab that injected instructions to create the spike protein was first administered, the CDC, FDA and NIAID were well aware the spike protein was likely causing damage to the endothelial cells lining the circulatory system....

Then, a second paper was published online March 8, 2021, investigated the potential that the spike protein is an inflammagen, or an irritant that can trigger inflammation at the cellular level. The researchers sought to determine if the spike protein was the underlying cause of the hypercoagulation found with a COVID-19 infection.

Mass spectrometry showed the spike protein damaged fibrinogen, prothrombin and complement, all compounds used in coagulation. They suggested that the presence of the protein was contributing to hypercoagulation and may result in large microclots that have been observed in plasma samples from patients infected with COVID-19....

A third study published April 27, 2021, again demonstrated in an animal model that exposure to the spike protein alone was enough to induce severe lung damage. And yet, there was no move by governmental agencies to slow the distribution of this genetic experiment....

The researchers evaluated 789 professional athletes who had COVID-19 and found no adverse cardiac events in those who underwent cardiac screening. In this group of healthy individuals, it appeared very rare for there to be systemic involvement of the spike protein.

However, in the VAERS reports September 3, 2021, there were a total of 11,793 individuals who suffered heart attack, myocarditis or pericarditis in the nine months that the vaccine had been administered. The effect of COVID-19 on the heart is well documented....

Part 5 - Science Doesn't Censor

Worldwide Censorship: Dr. Malone explains how it's done

Dr. Malone, inventor of the mRNA process used by covid vaccines has submitted several research papers that were published, after being passed by peer review, including top reviewers at the FDA. Yes, they were submitted, passed, published - and then pulled without explanation.

Vaccine manufacturers bribe peer reviewed publications by buying multitudes of "reprints" of articles favoring them. This somehow escapes the responsibility of publications to disclose conflicts of interest. It is a very significant part of the income of publications.

The FDA gives Pfizer expedited review, while throwing up consecutive obstacles, delaying for months research investigating the "politically correct" treatment protocols.

Pfizer funds politicians down to the local level. Media sells a majority of their ad space to drug companies. But the vaccine companies, as well as media, are owned by the Vangaard and Black Rock investment companies.

I was at Heritage. They said Black Rock is close to the Chinese Communist Party.

The conspiracy to kill early treatment by government is well documented.

Crowd Formation Psychosis, the analysis of how Hitler arose according to psychiatrists, describes what is happening in the world today. Governments know they can now completely ignore informed consent. Government has eliminated research ethics.

Even aspirin resists the blood coagulation of covid and of vaccines.

Solution: think global, act local. Find physicians willing to administer drugs. Relief shows on the faces shown the facts. They see this is survivable. Hospitals are forcing doctors to resign, which drives doctors to set up competing clinics.

Trial Site is the platform for this interview. It makes information available not available through peer review any more. In Florida, employers which had fired people for not vaccinating, are rehiring. There are moves to outlaw third party attacks on doctors' licenses, by non-medical complainers.

Dr. Malone response to Twitter suspension

Twitter has no problem with self esteem.

Twitter's failure to have a single person on its staff with a medical license - at least anyone whose name Twitter has enough confidence in to make public - has not made Twitter ashamed to suspend the world's leading expert on mRNA vaccines: Dr. Malone, the guy who invented the mRNA sequence.

If the inventor of mRNA isn't qualified to discuss mRNA vaccines, is Twitter??!!!

Malone responded by questioning if he can’t discuss “inconvenient” scientific facts about the Covid vaccines, then who can?

Twitter?!!

"If there's no merit to my voice being in the conversation, whether it's true or not, whether I'm factually correct or not, let's park that just for a minute. Whether or not I'm right in everything I say, and I freely admit, no one's perfect. I'm not perfect. It's one of my core points, is people should think for themselves," said Malone.

"If it's not okay for me to be part of the conversation, even though I'm pointing out scientific facts that may be inconvenient, then who can be allowed?" he questioned.

"And whether you're in the camp that says I'm a liar, and I didn't invent this technology, despite the patents, and there's a whole cohort of that. But I played a major role in the creation of this tech and virtually all other voices that have that background, have conflicts of interest, financial conflicts of interest. I think I'm the only one that doesn't, I'm not getting any money out of this."

Dr. Mengale was Germany's top doctor under Hitler. His medical competence, and dedication to the health of his patients, is suspiciously similar to whoever Twitter's pretend doctors are promoting, but at least Mengale had a genuine medical license.

Pfizer data saying one person was saved from covid, says 4 died of heart attacks

Speech of Senator Robert Kennedy Jr. (son of assassinated Attorney General Robert Kennedy, nephew of President John F. Kennedy) to Green Pass protesters in Italy:

No government in the history of mankind has ever relinquished power voluntarily. The power that they have taken away from us over the past 20 months they will never give back. They have taken away our freedom of speech, they have closed the churches, they have taken away jury trials against companies, no matter how negligent they, no matter how reckless they are, no matter how grievous your injury, you cannot sue that company.

They have taken away our property rights in the United States. They closed a million businesses for a year with no just compensation and no due process. They have taken away our right to be free of warrantless searches and seizures and surveillance by the government. In the United States all of those rights are enumerated in our Bill of Rights of the United States Constitution. And among the most important of those rights, after the right to free expression, which is gone, is the right to be able to participate in rule-making.

So, when the government wants to pass a law, it has to publish the law, propose the law, it has to explain the scientific basis for that law, it has to do a cost-benefit analysis of that law and explain it to the public, and then we have comments, that all the public can participate in, and then we have a hearing where people oppose the law, like myself, and bring in our own scientists and experts and scientific studies and it’s all transparent. All of those safeguards have been obliterated. Today, the law is what one man says it is, the top doctor in the United Sates, Anthony Fauci.

In one month, in March of 2020, Tony Fauci told the world masks don’t work, they’re scientifically worthless, two months later he ordered every American to put on a mask. He didn’t give us any scientific studies that made him change his mind, he simply told us, that’s the new law, do what you’re told.

All of these rights that the Founders of our country died for, sacrificed their properties, their livelihoods, to give us the Bill of Rights, and all of these rights over 20 months have been obliterated, taken from the American people — but not just the American people. This is a global coup d’etat against liberal democracies across the planet.

And all of these rights that were taken away from us, these governments said it was only temporary. They said it would only be two weeks. In truth, you can all see what is happening: They will never give them back unless we make them.

And the Green Pass is their coup d’etat. The Green Pass is how they consolidate their power over your lives. The Green Pass is not a public health measure. It is a tool for totalitarian control of your transportation, your bank account, your movement, every aspect of your life.

And this is not a new idea. This is the same idea they used in Germany in 1937. They issued a pass for people they wanted to control. And when the South African apartheid government wanted to control the black population of South Africa, what was the most important thing they did? They issued a green pass.

I want you to ask all of people and journalists and press who are here today. If the Green Pass is about public health, why is it not issued by the health ministry? It’s being issued by the financial ministry. Do they think that we are stupid?

Because this is a way to control your money, Once you have that Green Pass and they have the digital currency, if somebody tells you, Do not leave Milan, and you go on a trip to Bologna, your money won’t work in Bologna. If the government tells you not to buy pizza, they can make it so that your money won’t buy pizza at a pizza store. They can control every aspect of your life.

They tell you that we need a Green Pass to make sure everybody gets vaccinated. But they admit it: the vaccine does not prevent transmission, the vaccine does not prevent you from getting the disease, the vaccine doesn’t stop the pandemic. So why do we need to get vaccinated if the vaccine doesn’t stop transmission?

I’m gonna tell you for two minutes — I’m going to talk about the vaccines. People say I’m against vaccines. I’m not against vaccines. I’m only against bad vaccines.

I’m not going to tell you what Robert Kennedy thinks. I’m going to tell you what Pfizer told the United States FDA.

Pfizer is the company that has an approved vaccine in the United States. And Pfizer was supposed to have a three-year-study, but they cut it to six months. And then they gave vaccinations to all of the controls. Why did they do that? Why did they end the study in six months? Because they learned that the antibodies disappear in six months and the vaccine no longer provides protection. So they had to end it in six months. They could not do what they planned (three years). They took all of their records for that six months and they gave them to FDA. The most important table is the table that tells you All Cause Mortality. How many people died in the vaccine group, how many died in the placebo group during that six month period. That table is called “s4.” You can all look it up.

Here’s what the numbers say. There were 22 thousand in the vaccine group. Over six months, one died from covid. In the placebo group, the control group, there were 22 thousand people, two died from covid in six months. That allowed Pfizer to tell the American public that the vaccine is 100 percent effective because two is 100 per cent of one.

Most Americans and most Italians when they hear that the vaccine is 100 percent effective, what they think is that if they take the vaccine, I have 100 percent of not dying from covid. That’s not what it means. What it means is they have give 22 thousand vaccines to protect one person from dying of covid. That means they better make sure that the vaccine itself does not kill one person even, because if it kills one person then you cancel out the entire benefit.
Here’s the important thing. In the vaccine group, 20 people died over six months from all causes — 20 people of the 22 thousand. In the control group, only 14 people died of 22 thousand. That means that if you take the vaccine you are 48 percent more likely to die over the next six months than if you don’t.
These are Pfizer’s numbers, not mine, Here’s how the people died. In the control group, one person died of a heart attack over the six months. In the vaccine group, five people died of heart attacks over the six months. That means if you get the vaccine you have a 500 percent risk of a fatal heart attack within six months. It also means that for every one person who is saved from dying of covid, the vaccine is killing four people from heart attacks.

This is not a good public health policy, Public health is supposed to save lives. But this is about control and controlling our society and controlling our children. And the only reason that people don’t understand what I just said and that people still support the vaccine is one reason: the manipulation of fear.

This is simple mathematics. Anybody can look it up. If you look it up you will be more scared of that vaccine than you are of covid. But the government and the pharmaceutical companies have a method for turning off people’s brains so that they can no longer do simple mathematics. That device is fear. Fear stops us from exercising critical thinking. It allows us to believe that if we just do what we’re told then that that is the only way to save our lives. It’s called the Stockholm Syndrome. And the captors, they lock down a whole country for a year, and people become grateful to their captors and think the only way we can leave here alive is if we have absolute obedience.

I’m going to make one more point and that’s this. How many people here have heard of Event 201?

If you haven’t heard of it, you should go look at it on Youtube. Event 201 was a simulation of a corona virus pandemic that occurred in New York City in October 2019. We now know that covid was circulating in Wuhan on September 12, 2019, so a month later there is a simulated corona virus pandemic in New York.

The people who came to that were the big social media companies, the media companies, Johnson & Johnson, the biggest vaccine company, and it was hosted by three people: 1) Bill Gates, 2) George Fu Gao who’s the head of the Chinese CDC, and 3) Avril Haines, the deputy director of the CIA.

Avril Haines is today the top number one spy in the United States, She is the head of Joe Biden’s National Security Agency, so she went from Event 201 to becoming the top spy in our country.

[There are a couple of seconds of weird transmission interference here.]

Who knew that the CIA is a public health agency? It came as a surprise to me.

Because the CIA does not do public health. The CIA does coup d’etats. Between 1947 and the year 2000, the CIA was engaged in 73 coup d’etats, most of them against democracies, one-third of the countries in the world. If you look at Event 201, there was no discussion of public health. Nobody was talking about how do we get Vitamin D to all the people? How do we get people to lose weight? How do we make sure they eat good food? How do we repurpose medicines to treat people? How do we quarantine the suck? How do we preserve Constitutional rights? Not a word was said about public health.

Instead, what they were talking about is how do we use the pandemic as a pretext to clamp down totalitarian controls and to deconstruct democracy. They spent one-quarter of the day talking about how to make sure nobody’s allowed to spread the rumor that the coronavirus pandemic is laboratory- generated. This is October 2019! And they talk about how to lock down the population, how to force them to take experimental vaccines, how to make sure that black people don’t start resisting. Because in our country, blacks are very suspicious of the medical establishment, and they were deeply concerned about that resistance.

When I researched my book, what I learned was that this event, Event 201, was not a one-time occurrence. We found 20 separate pandemic simulations beginning in 2000. One thing they had in common — most of them Bill Gates was involved in, Tony Fauci was involved in — but every one of them the CIA was involved in. The CIA wrote the script, high-level CIA officials participated in every one of those pandemic simulations.

And they involved hundreds of thousands of people. They were conducted secretly. They used frontline workers, they were training police, and hospital systems and utilities in Europe, in Italy, in Germany, in Canada, in Australia, all at the same time, to do a response to a pandemic, but it was not a public health response. It was a response to use the pandemic for something else.

So they practiced again and again and again: How to use the pandemic as a pretext for imposing totalitarian controls and for obliterating liberal democracy across the planet.

One of the experiments that they used, they found, is called the Milgram experiment — it was a CIA experiment in 1967 — and what the CIA found is that if a powerful medical official orders people to do something wrong, something that violates their conscience, that violates their basic values, 67 percent of people will obey authority over their values. And 67 percent of the people will be hypnotized by fear into obeying a position of authority, a figure of authority. But thirty-three per cent of the people will not obey. And you are the 33 percent.

And our job is to go out from here today and reach out to our brothers and sisters, the people who are still hypnotized, and tell them that we are going to fight for their freedom until they are able to fight for it themselves. We need to reach out when we leave here today to all of our brothers and sisters, the 67 percent who are still hypnotized, and we have to tell them that you need to love your freedom more than you are scared of a germ.

This year we saw the destruction of the American Constitution. That Constitution was written by a group of people who understood that there are worse things than dying. And they put their lives on the front line, their property, their careers, their livelihoods, to fight for freedom, and to fight for those rights that we have lost in the previous 20 months.

And now it’s our job now, it is the job of everybody in this crowd, to go out and fight back, to resist, resist, resist, resist, and to reclaim our government, to reclaim our lives, to reclaim our liberty, for our children, for our country, and for all future generations.

And I can tell you this. I will stand side by side with you, and if I have to die for this, I’m going to die with my boots on.

Just Plain Ignoring Evidence: Fauci & Birx

From an interview with Dr. Scott Atlas, who served on President Trump's covid task force with Anthony Fauci and Karen Birx:

"What I saw when I was in the task force meetings were three doctors on the task force that controlled the medical policy really, which were Dr. Fauci, who was the most visible face of the policy to the country, but not in charge of the task force. Dr. Deborah Birx, who was in charge of the medical side of the task force, she was the official task force coordinator with capital letters. She had the role and personally wrote all of the written advice to every state. All of the governors received her advice as the federal policy guidelines. She flew to dozens of states, she personally visited all of these state’s public health officials doling out the federal guidance. And Dr. Redfield was the third doctor who was the head of the CDC.

"These people were bureaucrats, Drs. Fauci and Birx were 40-year bureaucrats. I was very different. I had more than a decade of health policy expertise practicing. I had 25-plus years of medical science clinical research and education. I brought in dozens of papers, the world’s literature.

"When I was asked a question in the task force meeting by Vice President Pence, for instance, I gave the data. … I was going through all the data, all the world’s publications, all the scientific papers. I was critiquing the papers. If I look at a scientific paper and the methods, the study was done incorrectly or poorly, the conclusion is not valid.

"This is what medical science people do, who are competent. I went through 12, 15, 20 papers when I was asked a question. And when I did that, for instance, on an occasion where I was us about the risk to children, I went through all the data very quickly, but I had all the papers in my briefcase. I was met with silence from Drs. Birx and Fauci with an accusation, I’m an outlier. And at the end of that discussion, which there was none refuting anything I said, there was no critique of anything I said by data, there was no scientific criticism.

"I was the only one who ever brought a publication to the table in the task force of the meetings I went to. The only comment at the end of that, when Dr. Redfield was asked about his comment was, well, let’s say the jury’s still out.

"I wrote this in my book, “A Plague Upon Our House,” [available at Amazon] because the American people need to know the level of incompetence, the lack of rigor, the lack of critical thinking. I was stunned at what I saw. We had bureaucrats in charge of the policy and that policy was the restrictions in lockdown. And it failed. It failed by the data to stop the spread of the infection. It failed to protect the elderly and stop them from dying. And it destroyed millions and millions of families, including the children who were sacrificed, and I’m talking about particularly low income families."

Censorship Stories

New Zealand Doctor Sam Bailey was knocked off her government-sponsored TV medical program for "misinformation". For stating the established facts about the RT-PCR tests for COVID-19. (The tests have a lot of "false positives" - that say you have covid when you don't.) The complaint against her was initiated by someone with no medical training.

So she started a firestorm of confusion and evidence-dodging with her question, after New Zealand health minister Andrew Little appropriated $42 million to fund 36 projects directed at reducing misinformation and “vaccine hesitancy”: “What is the definition of ‘COVID-19 misinformation’ for the purposes of the allotment of funding to address this problem?”

No authority would answer!

At New Zealand Doctors’ SOS, or NZDSOS, more than 38,000 health care professionals have signed a declaration reminding authorities of the Nuremburg code and that COVID-19 injections must be voluntary and not forcibly administered.

Facebook Censoring Jokes

From January 14, 2022 email from Babylon Bee:

Did you know Facebook is now banning jokes?

They started out banning people for spreading so-called "misinformation." As I'm sure you know, we got caught up in their fact-checking web many times. It was difficult to break free. But with your help, we made some noise and managed to maintain a presence on the platform. We even got Facebook to apologize and admit that there's a difference between fake news (which is intended to mislead) and satire (which isn't).

But they've decided it's not as simple as giving satire a blanket exception. There need to be rules. There need to be limits and restrictions on the kinds of jokes you're allowed to make.

We're not kidding.

In a recent announcement, Facebook said they're developing and rolling out "a new satire framework." This framework will be used to determined what counts as "true satire" and what doesn't. For example, true satire, as they put it, "does not 'punch down' . . . Indeed, humor can be an effective mode of communicating hateful ideas."

In other words, Facebook is coming after comedy they don't like. They want to ban jokes they consider hateful.

Mere days after the Big Tech giant made this announcement, a liberal media outlet published a piece accusing The Babylon Bee of having a "nasty tendency to punch down" because we push back on the madness of transgender ideology and make silly jokes about how women can't throw grenades as well as men (they really can't, though). This was no coincidence. The groundwork is being laid. It's only a matter of time before The Babylon Bee is penalized for violating Facebook's new policy against hateful comedy.

But let's get one thing straight. We are not "punching down." We're punching back. Conservatives have been on the ropes in the culture war for a long time. We're in a defensive posture, fighting back against the top-down tyranny of the Left's progressive agenda. And that agenda is driven by all the nation's most powerful people, corporations, and institutions. If that's not punching up, I don't know what is.

More importantly, Facebook's new prohibition of "punching down" is speech suppression — it's people in positions of power protecting their interests by telling you what you can and cannot say. Comedians who self-censor in deference to that power are themselves a joke. You certainly won't find us doing it.

We're going to keep making jokes on the internet. And we're going to keep punching back—not down—at the Left's progressive agenda and their endless efforts to silence us.

Will you team up with us in that effort by becoming a subscriber today?

Deliberately Manipulating Statistics

Relative (95%) v. Absolute (0.84%) Risk Reduction

Before getting into actual vaccination figures, here is an illustration of Absolute and Relative Risk Reduction with numbers easier to visualize.

Suppose a researcher followed one million volunteers, half jabbed and half unjabbed, for one hour, and found that one jabbed volunteer and two unjabbed volunteers got sick during that hour. So the researcher told reporters, "put off the jab and you face a whopping 0.000004% chance, 2 in 500,000, of catching covid. But get the jab like a good little boy, and you slash your danger to a mere 0.000002% chance, 1 in 500,000, of catching covid. To put this in scientific terms, the difference between 0.000004% and 0.000002% is 0.000002%, which is how much better your odds are if you get jabbed. We call this the ARR, Absolute Risk Reduction."

The reporter says, "Not much difference, huh?" and starts to walk away.

The researcher shouts, "No wait! I just told you the facts. Now let me give you something you can quote: 'people who don't get jabbed are twice as likely to catch covid.'"

The puzzled reporter says "But you just said..."

The researcher explains, "Two people in the unjabbed group got sick, but only one in the jabbed group. Not getting jabbed doubles your risk! See, scientists call this the RRR, the Relative Risk Reduction, where we just compare the numbers from the jabbed and the unjabbed groups."


See? Both figures are true. The unjabbed are twice as likely to get sick, and jabbing increases your protection by 0.000002%.

WHICH FIGURE MOST HONESTLY MEASURES THE PROTECTION OFFERED BY JABS?

WHICH FIGURE MORE LIKELY PERSUADE THE PUBLIC TO GET JABBED?

WHICH FIGURE IS BEING REPORTED BY CDC, GOVERNMENT, AND MEDIA?

- - - -

In vaccination statistics, "absolute" protection compares your chance of being infected with the jab, with your chance of being infected without the jab. Your chance is calculated as a percentage of the jabbed population that gets infected compared with the percentage of the unjabbed population that gets infected, during a selected period of time. The difference between the two percentages is how much difference the jab makes.

Now let's look at some actual vaccination stats.

Pfizer’s COVID shot was said to be 95% effective against the infection, but this is the relative risk reduction, not the absolute reduction. The absolute risk reduction for Pfizer’s shot was a meager 0.84%.

An incredibly low number of people were infected in the first place because of the shortness of the trial. Only 8 out of 18,198 vaccine recipients developed COVID symptoms (0.04%), and 162 of the 18,325 in the placebo group (0.88%). Had the trial lasted longer than 6 months there would have been more interesting results but it was decided that with 95% protection "established", it would be cruel to deprive the "control" group of the real "protection", so the study was terminated by "unblinding" the participants and offering the real shot to everyone.

Since the risk of COVID in the short trial was minuscule to begin with, even if the shot was able to reduce the "absolute" risk by 100%, (so that no one in the vaccinated group got sick) it would still be trivial in real-world terms.

Indeed, the six-month follow-up of Pfizer’s trial showed 15 deaths in the vaccine group and 14 deaths in the placebo group. Then, during the open label phase, after Pfizer decided to eliminate the placebo group by offering the actual shot to everyone who wanted it, another five deaths occurred in the vaccine group.

Two of those five had originally been in the placebo group, and had taken the shot in the open label phase. So, in the end, what we have are 20 deaths in the vaccine group, compared to 14 in the placebo group. We also have the suspicious fact that two of the placebo participants suddenly died after getting the real deal.

A peer-reviewed study explains why reporting only the RRR, not the ARR, is dishonest: “With the use of only RRRs, and omitting ARRs, reporting bias is introduced, which affects the interpretation of vaccine efficacy. When communicating about vaccine efficacy, especially for public health decisions such as choosing the type of vaccines to purchase and deploy, having a full picture of what the data actually show is important, and ensuring comparisons are based on the combined evidence that puts vaccine trial results in context and not just looking at one summary measure, is also important.”

The authors go on to stress that comparing the effectiveness of the COVID shots is further hampered by the fact that they use a variety of different study protocols, including different placebos. They even differ in their primary endpoint, i.e., what they consider a COVID case, and how and when diagnosis is made, and more.

“We are left with the unanswered question as to whether a vaccine with a given efficacy in the study population will have the same efficacy in another population with different levels of background risk of COVID-19,” the authors note.

One of the best real-world examples of this is Israel, where the relative risk reduction was 94% at the outset and an absolute risk reduction of 0.46%.

The information in this article which is accurate was taken from Dr. Joseph Mercola.

Government Coverup

Pfizer won't release its vaccine data

A whistleblower, Brook Jackson, told the British Medical Journal (BMJ) that the Pfizer vaccine trial documentation was riddled with issues, including the falsification of data. He alerted the FDA and was fired within hours. Jackson had worked for Ventavia Research Group, which operated several of the Pfizer trial sites in the fall of 2020. The FDA did not inspect Ventavia’s trial sites, BMJ said.

A group of doctors and scientists, including Yale's Harvey Risch, called Public Health and Medical Professionals for Transparency (PHMPT), sued the FDA for public release of its vaccine trial data. They sued because the FDA would not release the information out of court. The FDA told the court it wants 55 years to release the information, at 500 pages per day, so it can have plenty of time to "redact" (black out) information it considers sensitive.

Aaron Siri, whose law firm represents the doctors/scientists, marvels that the FDA was able to process Pfizer's 329,000 pages of trial data in 108 days before it approved the vaccine for public distribution, but now it needs 20,000 days to decide which of it is safe for the public to see?

Here is the FDA's brief to the court. Here is the doctors' lawsuit brief. Here is the article from which this information was summarized.

Real Flu Death Numbers Are A State Secret: Judge

PENNLIVE – The Pennsylvania Department of Health doesn’t have to give a news media group its “raw” data on deaths from influenza and pneumonia in the state for 2019 and 2020, a Commonwealth Court panel ruled Tuesday.

That decision, outlined in an opinion by Judge Renee Cohn Jubelirer, upholds a ruling the state Office of Open Records issued regarding the information request by Pittsburgh-based PublicSource.

Jubelirer agreed with the OOR that the data being sought is not yet in a form subject to public release under the state’s Right to Know Law.

PublicSource filed its request last year, at the height of the COVID-19 pandemic.

The judge said the health department had proved “there was no database from which it could simply pull the requested information” and that the raw data it supplies to the CDC contains personal information that is barred from release under the RTK Law. That law does not require a state agency to create a record that does not already exist.

“The OOR found… that the (Health) Department would have to correlate, verify, extrapolate, and code the information from death records - manually, in some cases -and present it in a different way than was available to Department employees before it could produce the information to” PublicSource, Jubelirer wrote.

Well, fine, but in all that time, the Health Department felt no responsibility to organize those covid stats for the benefit of the public, before anyone thought about court?

The judge ruled according the technical requirements of law: the Freedom of Information Act only requires bureaucrats to turn over information it already has, in the form it has it. The judge had no authority to rule on whether the government has a moral obligation to organize the data which its laws have required to be collected, in a way that can help the public understand whether its covid mandates have any basis in reality.

Another report of this event.


Part 2 - Masks Dangerously Reduce Oxygen: PROVED