Difference between revisions of "Application for Secular/Religious Exemption from Mask/Vaccine Mandate - Section Two, The Evidence"
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Revision as of 23:23, 28 November 2021
Continued from Application_for_Religious/Secular_Exemption_from_Mask_Vaccine_&_testing_Mandates Section One: The Religious Basis
This article was started by Dave Leach R-IA Bible Lover-musician-grandpa (talk) 02:25, 1 October 2021 (UTC)
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- 1 Section Two: The Evidence
- 1.1 My note to hospitals
- 1.2 CDC: Masks are Magic
- 1.3 Masks Don't Slow Covid
- 1.3.1 The Only 2 High Quality Randomized Control Mask Studies: Unsure of Any Benefit
- 1.3.2 Multiple journals reject THE ONLY major Covid mask study (Oct 23, 2021)
- 1.3.3 CDC's Strange Dismissal of Denmark Study
- 1.3.4 CDC Report: No Statistically Significant Benefit from School Masks
- 1.3.5 State Mask Mandates Ineffective
- 1.3.6 Non-Covid, yet Relevant, Mask Studies
- 22.214.171.124 Surgical masks and N95 masks perform about the same
- 126.96.36.199 Cloth masks perform far worse than medical masks
- 188.8.131.52 "No evidence" masks prevent transmission of flu in hospital setting
- 184.108.40.206 No significant reduction in flu transmission when used in community setting
- 220.127.116.11 Risk reduction may be due to chance
- 18.104.22.168 "No evidence" that universal masking prevents COVID-19
- 22.214.171.124 Mask or no mask, same difference
- 1.3.7 Fauci's Flip Flops, listed by Congressman Jordan
- 1.3.8 Harm to children from masks
- 1.3.9 Dueling Researchers
- 1.3.10 Covid vs. Other Vaccines: UNSAFE
- 1.3.11 Covid Vaccines: Safer than Natural Immunity! says CDC
- 1.4 Blocking Proven Safe and Effective Treatments
- 1.4.1 Doctors and Scientists' Declaration
- 1.4.2 CDC Reminds People To Listen To All Medical Professionals Except For The Tens Of Thousands Who Refused The Vaccine (Satire)
- 1.4.3 Congressman Gohmert: Attack on Invermectin is a Crime Against Humanity
- 1.4.4 Brief history of HCQ suppression
- 1.4.5 Hydroxychloroquine - MUCH better than nothing
- 1.5 Vaccines Kill More than they Cure
- 1.5.1 Vaccination Doubles the Death Rate
- 1.5.2 German Vaccines Correlated with Higher Deaths
- 1.5.3 $1,000,000 offer for anyone who will debate
- 1.5.4 68 Countries, 2947 counties: The more vaccinations, the more Covid
- 1.5.5 "All Cause Mortality" up, implicating vaccines
- 1.5.6 A Statistician's Evidence that Death Rates Increase as Vaccinations Increase
- 1.5.7 Grossly Exaggerated Covid Deaths
- 1.5.8 Grossly Underreported Vaccine Deaths
- 1.5.9 Grossly Exaggerating the Death Toll
- 1.5.10 How to Make 13% effectiveness look like 90% effectiveness
- 1.5.11 Heart Problems
- 2 Censorship
Section Two: The Evidence
My note to hospitals
To the Veteran's Hospital in Des Moines October 29, 2021: (My answers to multiple choice questions on their contact form: Which category best describes your question? VA health care. Which topic best describes your question? Medical care concerns at VA Medical Facility. Tell us the reason you're contacting us? Service complaint. My inquiry is: a general question. What is your question?)
Why are masks still required to enter your hospital for everyone, all the time, this long after peer reviewed studies find no statistically significant benefit from them, (for example the Netherlands study published last November), while other studies document physical harm they cause - some harm for most people after long use, and significant harm for some people after even a little use?
If your answer is that you know about studies in favor of obsessive masking that I have overlooked, can you refer me to them?
Is there any place in your medical system where the evidence for and against mask and vaccine obsession is compared, so that we may understand the basis of your policy?
If not, can you refer me to any forum in the world where doctors on all sides of the controversy can interact without fear of censorship?
If not, will you consider being the first to create such a resource, which will restore the confidence that your policies are in the best interests of our health, of people like me who read so much evidence from censored world class doctors that masks and vaccines are not beneficial?
In the absence of any such resource anywhere, the policy of any hospital that is so far contrary to science, apparently to appease bureaucrats and politicians with zero medical credentials, raises questions how many other medical decisions are made at your institution so contrary to the best interests of our health.
I have posted just a few of the studies that concern me, at (this web address). I assume the information will not fit in your online form.
CDC: Masks are Magic
“Masks can help reduce your chance of #COVID19 infection by more than 80%.” That’s what Dr. Rochelle Walensky, director of the CDC (U.S. Centers for Disease Control and Prevention)tweeted November 5.
She didn’t cite any evidence for her claim. It would be very helpful if she would because the best evidence fails to prove that masks help at all to prevent covid, while they are quite harmful to quite a lot of people.
Nor can I find anywhere on the CDC website any acknowledgment of these large, well done studies. If any reader knows of any, please log into this site and add this information.
I can’t be sure the CDC never addresses these studies, because though I did my best to find out, the CDC search engine, like the PCP covid test, produces a notorious number of False Positives.
The first article in this section features highlights from a German study which documents the considerable harms caused by mask wearing. The articles after that document the failure of masks to achieve any “statistically significant” reduction of covid infection.
The German review of 42 other studies documents these harms as the most obvious, short term consequences of wearing masks:
|Increase in dead
|Increase in blood
|Decrease in blood
|Difficulty breathing and shortness of breath|
dampness and heat
|Impaired skin barrier
function with acne, itching and skin lesions
The German study then goes farther, documenting these serious and fatal me
Masks Don't Slow Covid
I'm working on this. But this kind of information is so widely available, that the hard part is deciding which evidence is the strongest. You probably don't need any of this information; you have plenty of your own, or you wouldn't want an exemption for yourself. Besides, new information comes out every day; it is impossible for this section to keep up with the very best information.
The Only 2 High Quality Randomized Control Mask Studies: Unsure of Any Benefit
November 8, 2021: A Cato Institute Working Paper analyzes "the available clinical evidence of facemask efficacy": "sixteen identified randomized controlled trials" and "sixteen quantitative metaanalyses". (A "meta-analysis" is a critical review of many, if not all available, research published in peer-reviewed journals.)
The best two trials were the only ones worth mentioning according to Dr. Martin Kulldorff, senior scientific director of the Brownstone Institute, summarizing the Cato study according to an Epoch Times report. I have read both studies, and find that his summary is beautiful for its brevity yet with its ability to state everything worth stating about them. (The first study he cites is reviewed in the following article.)
“The truth is that there has been only two randomized trials of masks for COVID. One was in Denmark, which showed that they might be slightly beneficial, they might be slightly harmful, we don’t really know—the confidence interval kind of crossed zero,” he said. “And then there was another study from Bangladesh where they randomized villagers to masks or no masks. And the efficacy of the masks was for reduction of COVID was something between zero and 18 percent. So either no effect or very minuscule effect.”
The Cato abstract states: "...evidence of facemask efficacy is based primarily on observational studies that are subject to confounding [To cause to become confused or perplexed; To fail to distinguish; mix up] and on mechanistic studies [mechanical measurements by various contraptions] that rely on surrogate endpoints [substitute things measured, other than actual infection rates with or without masks] (such as droplet dispersion) as proxies for disease transmission. The available clinical evidence of facemask efficacy is of low quality and the best available clinical evidence has mostly failed to show efficacy, with fourteen of sixteen identified randomized controlled trials comparing face masks to no mask controls failing to find statistically significant benefit in the intent-to-treat populations. Of sixteen quantitative metaanalyses, eight were equivocal or critical as to whether evidence supports a public recommendation of masks, and the remaining eight supported a public mask intervention on limited evidence primarily on the basis of the precautionary principle. Although weak evidence should not preclude precautionary actions in the face of unprecedented events such as the COVID-19 pandemic, ethical principles require that the strength of the evidence and best estimates of amount of benefit be truthfully communicated to the public."
Notice that the alleged existence of "weak evidence" does not mean there is any proof of any benefit at all. The authors aren't actually saying there is any evidence, but use the phrase to hypothetically say "even though the evidence is weak to zero, it is OK to err on the side of safety, but we should be honest." There is zero proof, in Kulldorf's assessment, which is supported by my own reading of the studies. I am not a doctor; but the studies contain enough information to equip the general public with the opportunity for "informed consent" - that is, that portion of the public which cares enough to slog through the big unfamiliar words - a portion growing every day as mask and vaccine tyranny grows.
Multiple journals reject THE ONLY major Covid mask study (Oct 23, 2021)
Update: the study was published 3 weeks after this story was published. See details below.
October 23 JustTheNews A major study out of Denmark that sought to examine the efficacy of face masks at limiting the spread of COVID-19 has reportedly been rejected by multiple academic journals amid hints that the study found face coverings are not effective in protecting individuals from the coronavirus.
The team of Danish scientists earlier this year carried out a major randomized controlled trial study to determine how effective masks might be at stopping COVID transmission. The study, begun in April, involved around 6,000 Danish citizens, half of whom wore face coverings during "normal behavior" and the other half of whom went without them.
The study concluded in June. Yet the Copenhagen newspaper Berlingske reported this week that it has been rejected by at least three elite medical journals so far — the Lancet, the New England Journal of Medicine, and JAMA, the Journal of the American Medical Association.
"They all said no,"
The researchers are ethically bound to not publicly announce their findings until it is published in a peer-reviewed medical journal, so all we have, months after their study was completed - the ONLY major study of mask effectiveness specifically for Covid - is hints dropped by the extremely frustrated researchers.
Hints that the study finds masks are ineffective.
Hints like :(Results will be published) as soon as a journal is brave enough."
Or, "its results may run against the grain of current public orthodoxy on mask usage."
Or, asked by the paper if the study's results could be considered "controversial," another researcher said: "That's how I want to interpret it."
The research was ready for publication 5 months ago.
Although its authors feel ethically bound to refrain from self-publishing their results, critics have managed to view the paper and have published their criticism of it, yet without fully revealing its findings, and without the researchers having a chance to defend themselves. Their criticism offers us more hints: they say inherent design flaws in the study — including possible noncompliance factors within both the control and study groups — could unfairly skew the results in favor of non-mask usage.
The study "poses a serious risk of mistranslation" due to concerns that "null or too-small effects will be misinterpreted to mean that masks are ineffective," the writers stated. The academics warned policy-makers against "interpreting the results of this trial as being anything other than artifacts of weak design."
Update: What the Study Showed
That article must have shaken something loose, because three weeks later, November 18, it was published. The study indeed seriously challenges the assumptions supporting public mask wearing.
3030 participants wore surgical masks, of whom 42 (1.8%) got sick. 2994 didn't, of whom 53 (2.1%) got sick. That difference is not "statistically significant".
Here is the math they offer to explain the statistical insignificance of that 0.3% difference: "The between-group difference was −0.3 percentage point (95% CI, −1.2 to 0.4 percentage point; P = 0.38) (odds ratio, 0.82 [CI, 0.54 to 1.23]; P = 0.33). Multiple imputation accounting for loss to follow-up yielded similar results. Although the difference observed was not statistically significant, the 95% CIs are compatible with a 46% reduction to a 23% increase in infection."
That means that masks might reduce infection by 46%, or they might increase infection by 23%, for all these numbers tell us. Later the numbers were presented as: "the findings were inconclusive and cannot definitively exclude a 46% reduction to a 23% increase in infection of mask wearers in such a setting. " The researchers had expected to prove a 50% reduction in infection from mask wearing. That didn't happen.
The study summarized previous mask studies:
A systematic review of observational studies reported that mask use reduced risk for SARS, Middle East respiratory syndrome, and COVID-19 by 66% overall, 70% in health care workers, and 44% in the community (12). However, surgical and cloth masks were grouped [not tested separately as in this study which used only "high-quality surgical masks with a filtration rate of 98%"] in preventive studies, and none of the 3 included non–health care studies related directly to COVID-19. Another systematic review (18) and American College of Physicians recommendations (19) concluded that evidence on mask effectiveness for respiratory infection prevention is stronger in health care than community settings.
Here is a surprising finding that makes little sense: "A total of 52 participants in the mask group and 39 control participants reported COVID-19 in their household. Of these, 2 participants in the face mask group and 1 in the control group developed SARS-CoV-2 infection, suggesting that the source of most observed infections was outside the home." !!!
The participants contracted other viruses. 9 who wore masks, 11 who did not. However, the study was not "powered" to [focused on] accurately measure that.
Conclusion: "...a recommendation to wear a surgical mask when outside the home among others did not reduce, at conventional levels of statistical significance, incident SARS-CoV-2 infection compared with no mask recommendation."
Now watch this careful wording: "The findings, however, should not be used to conclude that a recommendation for everyone to wear masks in the community would not be effective in reducing SARS-CoV-2 infections, because the trial did not test the role of masks in source control of SARS-CoV-2 infection." In other words, all that was proved was that wearing a mask won't protect YOU. The study doesn't indicate if it protects others FROM you.
(How could you measure such a thing? You would have to take 3,000 people coughing and sneezing with covid, put masks on them, expose them to tens of thousands of healthy people who can't possibly catch covid from anyone else, and see how many they infect?)
The authorize theorize that perhaps there is so little difference between wearing or not wearing masks because the droplets carrying covid measure billionths of an inch after all, (aerosols), rather than the millionths of an inch that masks can stop: "How SARS-CoV-2 is transmitted—via respiratory droplets, aerosols, or (to a lesser extent) fomites—is not firmly established. Droplets are larger and rapidly fall to the ground, whereas aerosols are smaller (≤5 μm) and may evaporate and remain in the air for hours (39). Transmission of SARS-CoV-2 may take place through multiple routes. It has been argued that for the primary route of SARS-CoV-2 spread—that is, via droplets—face masks would be considered effective, whereas masks would not be effective against spread via aerosols, which might penetrate or circumnavigate a face mask (37, 39). Thus, spread of SARS-CoV-2 via aerosols would at least partially explain the present findings."
Two Analyses of this study: "Masks DO work", and "Masks DON'T work"!
Masks DO work: Bangor Daily News is mad at people who read, in this study, that masks don't work! The study "did not find that masks don’t work in slowing the spread of COVID-19." Well, no, it did not positively even test whether wearing a mask might protect others from you, but it certainly threw cold water on your hope that wearing a mask will protect you from others.
Plus, this article points out, at the time of the Danish study, most Danes were not wearing masks. IF wearing a mask DOES protect others from you, (a theory awaiting evidence), then if everyone wears a mask, that protects you too! So MAYBE masks work after all! Although that theory awaits clear evidence, this article points out that the CDC called the theory "likely". “The relationship between source control and personal protection is likely complementary and possibly synergistic, so that individual benefit increases with increasing community mask use,” the CDC concluded earlier this month.
Masks DON'T work! Business World is mad at people who read, in this study, that masks still might work. "One would think the study’s findings would encourage greater scrutiny on the efficacy of mandatory mask mandates, considering the absurd burden it places on individuals and businesses, not to mention the likely violation of civil liberties."
BW says the context of this study is "study after study showing that masks in the public setting do tend to be ineffective. And a CDC Report of Sept. 11, 2020, which found that amongst those infected by COVID-19, 85% 'always' or 'often' wore masks, while 70% of those actually hospitalized for COVID-19 'always' wore masks."
BW complains about the flip flopping mask mandates: "up to March 2020, the advice had nearly always been: 'don’t wear masks' Yet, suddenly, mask proponents, imposed an about-face. It became 'yes wear it publicly because it protects you.' Then it changed to: 'no, actually it doesn’t protect you but it protects others.' The current manifestation seems to be: 'well, wear it to raise awareness of COVID-19.' The foregoing is bizarrely contradicted by CDC Director Robert Redfield’s Sept. 16 statement: A 'face mask is more guaranteed to protect me against COVID than when I take a COVID vaccine.' Which in turn weirdly contradicted the CDC’s own Sept. 11 Report (particularly in an e-mail to Health Feedback), which stated that it 'clearly stated that wearing a mask is intended to protect other people in case the mask wearer is infected. At no time has CDC guidance suggested that masks were intended to protect the wearers.'”
"Note that an Oct. 23 study (Dhaval Adjodah, et al), published on medRxiv, had to be retracted when it claimed that mask mandates resulted in reducing COVID-19 cases, only to find infections in the subject areas rose after the study was released."
BW argues that asymptomatic spread is disproven, so why mandate mask wearing for people without symptoms, if masks are supposedly only useful to protect others from you?
"Then, finally, there is this: a study (Shiyi Cao, et al) published Nov. 20, described 'a city-wide SARS-CoV-2 nucleic acid screening program between May 14 and June 1, 2020 in Wuhan. There were no positive tests [no one tested positive] amongst 1,174 close contacts of asymptomatic cases.' In short, and if true: asymptomatic spread is not real. And if that is the case, with nearly 98-99% of COVID-19 cases being asymptomatic or mild, what could then justify mandatory mask wearing?"
Therefore, "if the science on public mask wearing shows that such is useless or doesn’t work...or at the very least uncertain, then for the government to make public mask wearing a mandatory requirement is arbitrary, capricious, and even perhaps despotic."
Another perspective of the fact that this study disproved any SIGNIFICANT benefit from masks, for wearers: How could masks protect others from wearers, while unable to protect wearers from others? Their inability to protect wearers from others shows masks do not significantly block germs traveling from others, through the masks, to wearers. How does that not also show masks do not significantly block germs traveling from wearers, through the masks, to others? There is nothing about masks that permits only one way travel. If germs can travel through one way, they can also travel the other way.
The inability of masks to block germs traveling from wearers to others, through masks, was graphically demonstrated by a doctor who exhaled vape "smoke" through different masks. (See description above.) Vape droplets are larger than the largest droplets theorized to carry covid, yet the droplets passed through almost as easily as they passed around the masks. The masks affected the direction and speed of exhaled breath, but not quantity.
In fact, if masks COULD actually TRAP large droplets and keep them from going into the room, wouldn't they become soggy after a couple of minutes? Doesn't the fact that they remain dry for hours prove they don't block droplets?
CDC's Strange Dismissal of Denmark Study
Here is how the CDC dismissed the preceding major study May 7, 2021:
Two studies have been improperly characterized by some sources as showing that surgical or cloth masks offer no benefit. A community-based randomized control trial in Denmark during 2020 assessed whether the use of surgical masks reduced the SARS-CoV-2 infection rate among wearers (personal protection) by more than 50%. Findings were inconclusive, most likely because the actual reduction in infections was lower. The study was too small (i.e., enrolled about 0.1% of the population) to assess whether masks could decrease transmission from wearers to others (source control). (Bundgaard H, Bundgaard JS, Raaschou-Pedersen DET, et al. Effectiveness of Adding a Mask Recommendation to Other Public Health Measures to Prevent SARS-CoV-2 Infection in Danish Mask Wearers : A Randomized Controlled Trial. Ann Intern Med. Nov 18 2020;doi:10.7326/M20-6817)
The findings were not inconclusive. The formal conclusion was that if the difference between infections among mask wearers vs. those without masks is statistically insignificant.
Though not a doctor, I have read dozens of studies and this is the first time I have heard a study of 6,000 people called "small". It is also the first time I have heard a study denigrated because it involved less than one percent of the population!
True, the study made no attempt to directly measure whether wearing a mask protects others. But I can't imagine how to measure such a thing even if the study followed 50% of the population.
As I wrote in my preceding overview of that study, "(How could you measure such a thing? You would have to take 3,000 people coughing and sneezing with covid, put masks on them, expose them to tens of thousands of healthy people who can't possibly catch covid from anyone else, and see how many they infect?)" Would it be easier to do that with 30 million?
As for indirectly measuring whether wearing a mask protects others, I wrote above: "How could masks protect others from wearers, while unable to protect wearers from others? Their inability to protect wearers from others shows masks do not significantly block germs traveling from others, through the masks, to wearers. How does that not also show masks do not significantly block germs traveling from wearers, through the masks, to others? There is nothing about masks that permits only one way travel. If germs can travel through one way, they can also travel the other way."
Did the CDC address the Denmark study at any other time? I don't know; its search bar doesn't stick to the search terms entered, at least when I tried.
CDC Report: No Statistically Significant Benefit from School Masks
The CDC writes: “The 21% lower incidence [of covid] in schools that required mask use among students was not statistically significant compared with schools where mask use was optional.” May 28, 2021
Several things are incredible about this study.
The study doesn’t say whether even one person was actually sick. The study only counts “cases”, which as you know from the news includes people who test positive for covid even if they have no symptoms. (“Asymptomatic”.)
The CDC report explains the two tests relied on: the infamous PCR tests, and “rapid antigen” tests. CDC writes, “COVID-19 cases among staff members and students are defined as laboratory-confirmed reverse transcription–polymerase chain reaction or rapid antigen positive test results self-reported to the school by staff members and parents or guardians of students or by local public health officials.” The two tests, and their wide range of reliability, are explained by UC Davis Health.
This analysis will keep the word “cases” in quote marks to remind readers that the CDC uses the word very differently than the rest of America does. The rest of us assume a “case of Covid” means where a person is actually sick.
The study doesn’t say whether any students ever even tested positive. Case numbers among teachers, other staff, and students were combined. “Number includes both students and staff members with a case of COVID-19 during the study period.” If all the “cases” were among only the adults, that would be consistent with general reports that children are more resistant, but we will not find out from the CDC.
The failure to distinguish between students and adults in counting “cases” leaves the report unable to guess whether mask wearing by adults or by students is the reason adults reduced “cases” 37% in schools where students were ordered to mask up. “This finding might be attributed to higher effectiveness of masks among adults, who are at higher risk for SARS-CoV-2 infection but might also result from differences in mask-wearing behavior among students in schools with optional requirements.”
The relative general immunity of children also helps explain why the study found that covid “cases” among both students and staff were only about half what is experienced in the general population. CDC reports 3.08 “cases” of both staff and students per 500 students, while the general population experiences 5.28 “cases” “per 500 population”.
How is 21% reduction of “cases” under mask mandates not “statistically significant”? Look at the quote again, and consider how much better a headline the sentence would be in conservative news reports, by deleting that “21%”:
“The 21% lower incidence [of covid] in schools that required mask use among students was not statistically significant compared with schools where mask use was optional.”
Reporting the difference as a “21% lower incidence” certainly takes the edge off the finding that it is not “statistically significant”, which a skeptic might guess is the reason it was called a “21% lower incidence” rather than a half of a percent lower incidence, which truly is “statistically insignificant”. Try to be patient with a bunch of numbers.
A chart at the end of the report says that where masks were required for students, there were 2.44 cases per 500 students, or 0.488%.
(Watch out! Calling it “per 500 students” feeds the impression that those “cases” are among students. But as pointed out earlier, the report doesn’t say if any students tested positive, much less actually got sick.)
For schools where masks were optional, it was 4.42 cases per 500 students, or 0.884%. That is a whopping 70% higher number of “cases” where students faced mask mandates!
But it is only a 0.346% higher rate of “cases”.
But where does CDC get the 21% figure?
The chart reports mask mandated student cases as 2.44 (2.15–2.77) and optionally masked student cases as 3.81 (3.42–4.25). The numbers in parenthesis are “confidence intervals”, which the study “estimates” at 95%. That “means that if the same population is sampled on numerous occasions and interval estimates are made on each occasion, the resulting intervals would bracket the true population parameter in approximately 95 % of the cases.”
Comparing 3.42, the minimum “cases” to expect without a mandate, is a 23% increase over 2.77, the maximum “cases” to expect with a mandate. In other words, “we can expect at least 23% more cases without a mask mandate.”
Well, 23% is close to 21%. That’s the best I can figure, in the absence of the CDC explaining where it got 21%.
Still unclear is how either a 21% increase, or 23%, is “statistically insignificant”. Or whether we should instead go by the 0.346% figure, which makes the difference seem truly negligible. How can we clear up this confusion?
Suppose you need your house painted, so you ask two painters to give you a bid. You hope you can get it done for $4,000.
One contractor offers to do it for $3,999. He will save you $1. The second says “I can save you twice as much as the other guy. I can do the job for a scant $3.998!”
Which figure gives you the most realistic view of your options? The fact that the difference is only 0.9997%? Or the fact that the second painter will save you twice as much?
State Mask Mandates Ineffective
“Mask mandate and use efficacy in state-level COVID-19 containment”. By Damian D. Guerra, Daniel J. Guerra. May 18, 2021
This study compared covid rates of states with mask mandates, with those of states without. This study is a “preprint”, not yet peer reviewed, and therefore not intended to be relied on as if it were. But in the absence of better information, it seems more useful than nothing.
Here are quotes from the study, selected by Redstate:
The study notes that “80% of US states mandated masks during the COVID-19 pandemic” and while “mandates induced greater mask compliance, [they] did not predict lower growth rates when community spread was low (minima) or high (maxima).” Among other things, the study—conducted using data from the CDC covering multiple seasons—reports that “mask mandates and use are not associated with lower SARS-CoV-2 spread among US states.”
“Our findings do not support the hypothesis that SARS-CoV-2 transmission rates decrease with greater public mask use,” notes the U of L report. Researchers stated that “masks may promote social cohesion as rallying symbols during a pandemic, but risk compensation can also occur” before listing some observed risks that accompany mask wearing…
The study has more value than what the study itself establishes. A section of it summarizes a dozen previous relevant studies, with links.
Conclusions Mask mandates and use are not associated with slower state-level COVID-19 spread during COVID-19 growth surges.
...Prior studies have conflicted on whether masks reduce SARS-CoV-2 transmission. For USS Theodore Roosevelt crew, reported mask use was lower among COVID-19 cases (56% vs. 81%) . There were no infections for 47.9% of patrons of two hair stylists with COVID-19 with universal masking , but PCR tests were not obtained for the other 52.1% of patrons , and first wave COVID-19 hospitalizations were no higher in public schools (high density with minimal masking) than elsewhere in Sweden . A randomized controlled trial (RCT) of Danish volunteers found no protective benefit of medical masks against COVID-19 infection . In RCTs before COVID-19, viral infections were more common for Vietnamese clinicians with cloth masks than medical or no masks (which were indistinguishable from each other) , and N-95 respirators (but not medical masks) protected Beijing clinicians from bacterial and viral diseases compared to no masks . To be sure, mask use compliance in RCTs is not always clear . Mask use was 10% and 33% for Beijing households with and without intrahousehold COVID-19 transmission, respectively . This suggests greater mask use may reduce COVID-19 spread. Hence, our second objective was to assess whether COVID-19 case growth is negatively associated with mask use.
... We found little to no association between COVID-19 case growth and mask mandates or mask use at the state level. These findings suggest that statewide mandates and enhanced mask use did not detectably slow COVID-19 spread.
Non-Covid, yet Relevant, Mask Studies
A review with useful links, emailed to me by Bill Whatcott 9/30/2021.
In May 2020, a CDC journal named Emerging Infectious Diseases published a “systematic review” of 10 RCTs that “reported estimates of the effectiveness of face masks in reducing” the spread of the flu in community settings. A “pooled analysis” of their results found “no significant reduction in influenza transmission with the use of face masks,” regardless of whether they are “worn by the infected person” to protect others, or if they are worn by “uninfected persons” to protect themselves from people who are infected.
All of those flu RCTs are highly relevant to Covid-19 because:
- both diseases are transmitted by RNA viruses that produce respiratory tract infections.
- more than 87% of virus-laden respiratory particles exhaled by people with either disease are less than 1 micron in diameter. These can easily penetrate surgical and cloth masks because the average pore sizes of:
- surgical masks are at least 17 to 51 times larger than those particles.
- cloth masks are at least 80 to 500 times larger than those particles. (More details about this are provided below in the section on laboratory studies.)
The following mask studies, with links, were summarized 10/15/2021 by Joseph Mercola:
Surgical masks and N95 masks perform about the same
A 2009 study published in JAMA compared the effectiveness of surgical masks and N95 respirators to prevent seasonal influenza in a hospital setting; 24% of the nurses in the surgical mask group still got the flu, as did 23% of those who wore N95 respirators.
Cloth masks perform far worse than medical masks
A study29 published in 2015 found health care workers who wore cloth masks had the highest rates of influenza-like illness and laboratory-confirmed respiratory virus infections, when compared to those wearing medical masks or controls (who used standard practices that included occasional medical mask wearing).
Compared to controls and the medical mask group, those wearing cloth masks had a 72% higher rate of lab-confirmed viral infections. According to the authors:
"Penetration of cloth masks by particles was almost 97% and medical masks 44%. This study is the first RCT of cloth masks, and the results caution against the use of cloth masks … Moisture retention, reuse of cloth masks and poor filtration may result in increased risk of infection."
"No evidence" masks prevent transmission of flu in hospital setting
In September 2018, the Ontario Nurses Association (ONA) won its second of two grievances filed against the Toronto Academic Health Science Network's (TAHSN) "vaccinate or mask" policy. As reported by the ONA:
"After reviewing extensive expert evidence submitted … Arbitrator William Kaplan, in his September 6 decision, found that St. Michael's VOM policy is 'illogical and makes no sense' …
"In 2015, Arbitrator James Hayes struck down the same type of policy in an arbitration that included other Ontario hospitals across the province … Hayes found there was 'scant evidence' that forcing nurses to use masks reduced the transmission of influenza to patients …
"ONA's well-regarded expert witnesses, including Toronto infection control expert Dr. Michael Gardam, Quebec epidemiologist Dr. Gaston De Serres, and Dr. Lisa Brosseau, an American expert on masks, testified that there was … no evidence that forcing healthy nurses to wear masks during the influenza season did anything to prevent transmission of influenza in hospitals.
"They further testified that nurses who have no symptoms are unlikely to be a real source of transmission and that it was not logical to force healthy unvaccinated nurses to mask."
No significant reduction in flu transmission when used in community setting
A policy review paper published in Emerging Infectious Diseases in May 2020, which reviewed "the evidence base on the effectiveness of nonpharmaceutical personal protective measures … in non-healthcare settings" concluded, based on 10 randomized controlled trials, that there was "no significant reduction in influenza transmission with the use of face masks …"
Risk reduction may be due to chance
In 2019, a review of interventions for flu epidemics published by the World Health Organization concluded the evidence for face masks was slim, and may be due to chance:
"Ten relevant RCTs [the "gold standard" of research] were identified for this review and meta-analysis to quantify the efficacy of community-based use of face masks …
"In the pooled analysis, although the point estimates suggested a relative risk reduction in laboratory-confirmed influenza of 22% in the face mask group, and a reduction of 8% in the face mask group regardless of whether or not hand hygiene was also enhanced, the evidence was insufficient to exclude chance as an explanation for the reduced risk of transmission."
"No evidence" that universal masking prevents COVID-19
A 2020 guidance memo by the World Health Organization pointed out that:
"Meta-analyses in systematic literature reviews have reported that the use of N95 respirators compared with the use of medical masks is not associated with any statistically significant lower risk of the clinical respiratory illness outcomes or laboratory-confirmed influenza or viral infections …
"At present, there is no direct evidence (from studies on COVID- 19 and in healthy people in the community) on the effectiveness of universal masking of healthy people in the community to prevent infection with respiratory viruses, including COVID-19."
Mask or no mask, same difference
A meta-analysis and scientific review led by respected researcher Thomas Jefferson, cofounder of the Cochrane Collaboration, posted on the prepublication server medRxiv in April 2020, found that, compared to no mask, mask wearing in the general population or among health care workers did not reduce influenza-like illness cases or influenza.
In one study, which looked at quarantined workers, it actually increased the risk of contracting influenza, but lowered the risk of influenza-like illness. They also found there was no difference between surgical masks and N95 respirators.
Fauci's Flip Flops, listed by Congressman Jordan
Watch Rep. Jim Jordan, grilling Fauci: Jim Jordan Resumes Attacks On Dr. Fauci Over COVID-19 Origins, Mask Guidance. Posted July 28, 2021 by Forbes Breaking News; the hearing was the day before. Transcript of Jordan:
"When this virus came on the scene Dr. Fauci initially told the American people you don’t need to wear a mask, then later he said no, you need to wear a mask, then he said you need to wear two masks, then after that he said back to one mask, then of course he went to no masks, and no he talks about we need to wear a mask again.
"When it comes to the question of the origin of the virus, Dr. Fauci has had just as many positions. He initially said U.S. taxpayer money did not fund the Wuhan Institute of Neurology. He later changed that: no, no, we did fund it, but it was through a sub-grant. Then he subsequently said no, no, we funded it but we did no gain-of-function research. And then just last Sunday he said well, we funded it, it was gain-if-function research, but it was a sound scientific decision. "And then he said this: 'It would have been negligent to not fund the lab in China.' "I mean, talk about being all over the board. I’ll tell you what’s negligent: Dr. Fauci’s ever changing statements to the American people...."
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
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
"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
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'."
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.
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:
Vaccines Kill More than they Cure
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.
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.
"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.)
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?
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%."
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.
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....
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.
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.
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?
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.