by Patrick ➕follow (60) 💰tip ignore
« First « Previous Comments 88 - 127 of 180 Next » Last » Search these comments
Ambulance Call Volumes Contradict the COVID-19 Narrative
Emergency Medical Service Activity Dropped in 2020, Increased in 2021-2022 ...
Remember, COVID-19 was presumably killing and maiming massive numbers of Canadians in 2020. This is when the virus was new, the population was supposedly immunologically naïve, and the most vulnerable were still among us. Then came the ‘vaccines’ in early 2021 that public messaging guaranteed would prevent people from getting COVID-19 and transmitting SARS-CoV-2. The messaging then morphed to try to convince people that the goal all along was to merely dampen the severity of COVID-19. Regardless of the goalposts being moved, public health officials were clear that they had found an almost perfectly safe and effective way to combat COVID-19-induced deaths and serious illnesses so life could return to the new normal. If this storyline were true, one would hypothesize this would show up as a massive increase in the call volumes for ambulances in 2020, followed by a return to pre-2020 numbers in 2021 and beyond. ...
Nearly 99 percent of 'Covid deaths' reported by the CDC each week are not primarily caused by the virus, official data shows.
The Centers for Disease Control and Prevention (CDC) Covid dashboard shows just 1.7 percent of the 324 Covid deaths registered in the week ending August 19 had the coronavirus as the primary cause of death.
The figures suggest just a handful of American lives are being lost directly to the virus each week. For comparison, the virus was behind one in three 'Covid deaths' at America's pandemic peak in 2021.
The CDC is a criminal organization which exists now to protect and profit Pfizer, and to be used to manipulate elections so that democracy is defeated in America.
The CDC is a criminal organization which exists now to protect and profit Pfizer, and to be used to manipulate elections so that democracy is defeated in America.
I don't think they manipulate elections
RC2006, they also have flu tests; I recently got one.
The nurse shoved the Q-tip up my nose and the results were negative for Covid, positive for one of two flu viruses.
It was interesting to see.
Shortly after COVID reached US shores, the World Health Organization estimated that the virus would kill 11.2 million Americans—an alarming and frightening number that panicked public health officials. Today, we know that a much smaller number of Americans actually died, meaning the world’s experts got it wrong.
But researchers at Stanford doubted those early numbers, and set out to run a study that would find how deadly the virus actually was, and how many people were being infected. Called the Santa Clara Study—for the California county where Stanford’s professor ran their tests—the research was met with interference by Stanford administrators and a series of excoriating and sloppy articles in the now defunct newsite Buzzfeed. ...
Following the money trail and naming names, Bhattacharya recounts getting his research published despite being under the microscope of Stanford administrators, and muses on the future of science and public health.
Bhattacharya’s first-person account follows. ...
The Santa Clara study results had several enormous implications for the lockdown strategy:
1) The Covid virus had spread to at least 2.8% of the population after only a little more than a month of its arrival in the U.S. and despite the lockdown;
2) Most who had been infected and recovered had not come to the attention of public health authorities, and nearly 40% recalled no symptoms;
3) Infection fatality rate (IFR), or chance of infected people dying, was much lower than previously thought; and
4) The pandemic had a long way to go before the end, and nearly everyone would become infected. ...
The initial estimates were based on laboratory-confirmed cases of H1N1 and inferred a catastrophically high mortality rate—above 5%.
Later estimates were based on population samples of antibody levels—meaning a test confirmed people had been sick with the virus. This method found an infection fatality rate of around 0.01%—more than 100 times lower. This also meant that 99.99% of infected patients survived. ...
Together, we were calling for an immediate seroprevalence study to resolve the scientific uncertainty and to understand whether the lockdowns we were following had any chance of success. To this day, I am stunned by the failure of the US Centers for Disease Control to run a nationwide seroprevalence study in March 2020. Not running a study was a catastrophic failure that hampered the ability of authorities to design an appropriate pandemic response. ...
Embracing our results would have forced some leaders to admit error or reverse their policies, which would have meant a loss of reputation. ...
In the end, Stanford's leadership undermined public and scientific confidence in the results of the Santa Clara study. Given this history, members of the public could be forgiven if they wonder whether any Stanford research can be trusted. Is work published by Stanford faculty actually what the researchers think, or was there unreported and inappropriate interference by Stanford's academic bureaucrats in service of interests other than the truth?
11,793 Canadians Resurrected from COVID Deaths
How can anyone believe what a health regulatory agency says about COVID-19 when they apparently cannot do math right? Numbers matter because data are used to inform policies that affect people.
A couple of days ago I had a great discussion with integrity journalist Glen Jung from Bright Light News. He brought my attention to some very odd Canadian statistics related to COVID-19. They suggest that Canada experienced a miracle around Christmas last year. ...
One thing this graph shows is that after accumulating death statistics over a period of 3.75 years, COVID-19 was no more lethal than several other common causes of death, including things like traffic accidents (that could be reduced to zero with a permanent stay-at-home order if everyone genuinely cared about saving every possible life at the expense of individual quality of life). ...
Further, these data do not parse out deaths “due to COVID-19”, which were conflated with deaths “with COVID-19”, which meant the cause was something else and the person had a positive PCR test result (which may or may not mean they had COVID-19; a person must be sick to be diagnosed with a disease). ...
Most importantly, I want to bring your attention to one statistic, which is the total number of COVID-19-associated deaths. As you can see in the figure title, that number is “35,086” (it is circled in red).
Why Does This Matter? ...
The total number of “COVID-19 cases deceased in Canada” was apparently 46,029!
With the ongoing public messaging that COVID-19 remains a lethal menace and the passage of eight-and-a-half months, how did the total number of deaths of Canadians DECREASE by 10,943 ?!?
When, Exactly, Did the Resurrections Occur?
I looked into this and found that this reversal of death occurred between December 23, 2022 and January 9, 2023, and then the number has slowly risen since then. ...
Summarizing the Canadian Resurrection Miracle
Between December 23, 2022 and January 9, 2023, which is a span of 17 days, the number of Canadians that died changed by -11,793. Or, put another way, 11,793 Canadians that were dead due to COVID-19 just prior to last Christmas were alive a short time later.
Implications of the Canadian Resurrection Miracle
I know that the harms of COVID-19 have been overestimated due to nontransparent manipulations of data. Regulatory agencies should be compelled to present any data in a fully transparent matter, including providing raw data and clear descriptions of the methods used to acquire the data, analyze them, and present them.
Joseph A. Ladapo, MD, PhD
@FLSurgeonGen
While the feds push false narratives, we assessed the data & here's the truth: Over 70% of CDC's so-called "COVID hospitalizations" in FL are not hospitalized FOR COVID. They may be in the ER with a broken leg, have no respiratory symptoms, but happen to test positive.
Joseph A. Ladapo, MD, PhD
FLSurgeonGen
While the feds push false narratives, we assessed the data & here's the truth: Over 70% of CDC's so-called "COVID hospitalizations" in FL are not hospitalized FOR COVID. They may be in the ER with a broken leg, have no respiratory symptoms, but happen to test positive.
"Toronto-area LTC residents died of ‘dehydration and malnourishment,’ new military documents reveal"; to read this headline makes my blood boil, those crooked killer Hospital & LTC & nursing home CEOs
In addition to deaths from COVID-19, residents at two long-term care homes in the Toronto area died of dehydration and neglect during outbreaks last spring; 26 residents died due to dehydration
Oh look, I caught the CDC scrubbing another document from the internet that shows they intentionally manipulated the RT-PCR cycle count for those who got the vaccine, to manufacture the narrative that it's a pandemic of the unvaccinated because they were still receiving 40+ cycle count tests. Just a few months later into the fall, they eventually admit false positives are a problem, and they phase out the use of RT-PCR for other tests and assays, which lead to the largest jump in COVID cases that we ever saw. How convenient.
Why does no one talk about RT-PCR fraud anymore? Why are people still trying to argue any of the COVID numbers as if they are legitimate?
Early vaccine efficacy data was predicated on RT-PCR.
Lockdowns, social distancing, etc, were predicated on RT-PCR.
Vaccine mandates were predicated on RT-PCR.
The foundation of the entire psyop relies on this one test, which was completely misused intentionally, per the inventor Kary Mullis. He criticized Fauci heavily for the same practices during AIDS, but no one cared. Fauci destroyed his career and sent him into obscurity for speaking truth, just like all the rest.
https://odysee.com/Kary-Mullis-on-PCR:5
Dead link:
https://cdc.gov/vaccines/covid-19/downloads/Information-for-laboratories-COVID-vaccine-breakthrough-case-investigation.pdf
Archive: https://web.archive.org/web/20210429220602/https:/www.cdc.gov/vaccines/covid-19/downloads/Information-for-laboratories-COVID-vaccine-breakthrough-case-investigation.pdf
This paper also proves the entire pandemic was a fraud, so quit arguing their contrived data. They used these tests to capture deaths from the vaccine and cover it up. They classified people as unvaccinated until they had every shot + 2 weeks, to which they then used high cycle RT-PCR to manufacture a positive. Once they were considered vaccinated, down to 28 cycle count, and then not positive.
Thus reality was manufactured. Everything destroyed in its wake.
In summary, we have outlined eight different reasons why we suspect that the data surrounding the 2020 spring mortality wave in NYC might be incorrect. They are:
It is unlikely that Covid combined with iatrogenic and other factors could have caused a wave of mortality as recorded.
It is implausible that every age category should experience a spike in deaths simultaneously.
It is improbable that deaths occurred simultaneously independent of place of death.
The magnitude and steepness of the spike in deaths is indicative of an unparalleled non-natural mass casualty event. But no such event has been detected.
Records of hospital visits and ambulance transports do not correlate with what would be expected had the massive wave of mortality happened as stated.
Occupancy levels of hospital and ICU beds are not what one would expect if such a wave of death happened.
What happened in NYC is significantly worse than similar cities in the U.S..
Far too many younger people are reported to have died in a very short time frame, and to have died from Covid.
Therefore, we call upon the authorities to release basic daily hospital data so that admissions can be matched with bed occupancy, deaths and discharges. Death certificates should also be released in order to prove the number of deaths occurring each day and at each place of death. Officials must substantiate the timing and magnitude of the event with complete datasets, supported by records.
BBC confirms there was no pandemic
Their headline: 'Scotland's winter death toll worst in more than 30 years'
Lacking any self-awareness, British government broadcaster, the BBC, published this past month a report under the following headline:
Scotland's winter death toll worst in more than 30 years
The BBC was one of the important media enforcers globally of the entire pandemic narrative. Assiduously, they pushed lockdowns and vaccines, and shut down any debate.
And now, so very casually, the corporation inadvertently admits that there was indeed no pandemic. For how could there have been, if three years later, after the deaths of thousands, after the successful roll-out of a miracle vaccine, a Scottish winter produced more death than in 2020, than in three decades prior?
The evil of the media is perhaps only outstripped by its stupidity. Nowhere in the report is this connection made; nowhere is the obvious question asked.
"BBC confirms there was no pandemic"
It depicts the DEVIATION by month from the average number of deaths per 100,000 population during the time period 2015 - 2019 in Sweden for the years 2020 and 2021.
The first thing that struck me about this graph was that, in both 2020 and 2021, only about one fourth of the months had deaths per 100,000 higher than the average of 2015 to 2019.
In a PANDEMIC? You’ve got to be kidding! Then I looked at the worst month, April of 2020. The graph shows that SWEDEN, in that month, only experienced 26 excess deaths per one hundred thousand people.
26/100,000 = .00026 = .026 %
In other words, at the worst time of the pandemic, the deaths per 100,000 people went up only 2.6 hundredths of 1 %.
That’s what we stopped the world for. ...
... Covid would have come and gone without anyone noticing if the government hadn't gotten involved with the idiotic policies some of which were put in place by people who knew better. In addition to this, there were recommendations made which made absolutely no sense and resulted in the deaths of some patients. Continuing to get injected with vaccines that were made for strains three or four generations previous when you've had the disease and recovered is one such example of many.
A top government health official has admitted that hospitals were faking data for causes of death during the pandemic.
A former director of the UK government’s National Health Service (NHS) has spoken out to allege that a new system was introduced at the beginning of the Covid panoramic to certify deaths.
Prior to the pandemic, four types of pneumonia were grouped together as the highest cause of death in the United Kingdom.
However, after the new Medical Examiner System was implemented, medical examiners started certifying deaths from all types of pneumonia as being caused by Covid.
In a post on Twitter/X, former NHS director of End-of-Life Care Saineethan “Sai” Balasubramaniam exposed the changes to the death reporting system implemented by the UK government health service.
https://twitter.com/TheOriginalSai/status/1614332319111970816
Something else is killing most alleged Covid victims, not this virus …
Again, my major take-away from my research and contrarian analysis is that something else must have been the true cause of death for the vast majority of alleged Covid victims, especially among the younger age cohorts.
The spike in all-cause deaths that began after the lockdowns has to be explained by dozens of reasons instead of this virus. It was the response to the virus, not the virus, that better explains most of these purported “Covid deaths.”
These reasons would/might include ventilators, remdesivir, not giving pneumonia patients antibiotics, de-hydration, over prescription of powerful sedatives, isolation, panic, depression, etc.
If we’re counting all excess deaths, the mRNA “vaccines” probably caused millions of deaths. Spikes in suicides, homicides, domestic assaults, drug over-doses, accidents and deaths from delayed diagnoses from treatable diseases are other causes that no doubt explain the massive surge in extra deaths in the last three years.
Basically, if my hypothesis is correct that the Covid mortality rate should have remained constant, this would mean that, even today, millions of deaths attributed to Covid probably aren’t occurring from Covid or Covid alone.
Even I admit this would constitute a scandal almost too mind-boggling to consider … but I’m considering it because that’s what my “early spread” hypothesis strongly suggests.
If this virus wasn’t deadly in December 2019 or January 2020, it shouldn’t have suddenly become “deadly” a year later … nor today.
BBC ‘misrepresented’ Covid risk to boost lockdown support, inquiry told
Epidemiologist Prof Mark Woolhouse criticised corporation for reporting rare deaths among healthy adults as the norm during pandemic
The BBC was allowed to “misrepresent” the risk posed by Covid to most people to boost public support for lockdown, the UK Covid Inquiry has heard.
Prof Mark Woolhouse, an eminent epidemiologist and government adviser, lambasted the corporation for having “repeatedly reported rare deaths or illnesses among healthy adults as if they were the norm”.
He said this created the “misleading impression” among BBC News viewers at the start of the pandemic that “we are all at risk” and “the virus does not discriminate”.
In reality, he said it was known at the time that the risk of dying from Covid was 10,000 times higher in the over-75s than the under-15s.
But Prof Woolhouse told the inquiry the BBC did not correct its reporting, saying: “I suspect this misinformation was allowed to stand throughout 2020 because it provided a justification for locking down the entire population.”
The saga started almost immediately after he conducted one of the first comprehensive COVID-19 studies examining how the virus spread and impacted patients. The “Santa Clara Study,” released in April 2020, found that the mortality rate of the disease was close to .2%, or about 2 out of 1,000 people -- orders of magnitude below the World Health Organization's warnings at the time of 3% or 4%. The study showed that the virus had a steep age gradient and generally did not impact children. The elderly and immunocompromised were at high risk. Healthy children and adults faced relatively minimal harm. Many of the people who were infected with the virus showed no symptoms.
The study, followed by research in Los Angeles County and other studies that confirmed its findings, outraged the establishment, which was using radically higher mortality rates to demand draconian restrictions on travel, commerce, education, and all other manners of public life. Bhattacharya publicly criticized economic and school lockdowns, which he called unnecessary and likely to harm the young and the most vulnerable in society. These statements further made him a public enemy. ...
He has subsequently been vindicated on virtually every point of contention. The school lockdowns were a catastrophe that created a crisis of learning loss, particularly among low-income children in public schools. COVID-19 vaccines did not prevent transmission, as the Biden administration claimed. The mortality rate of the virus was much more in line with Bhattacharya’s early findings than with the stated claims of the WHO and the U.S. government public health agencies. The vaccine mandates for young, healthy adults were never remotely supported by scientific evidence.
« First « Previous Comments 88 - 127 of 180 Next » Last » Search these comments
patrick.net
An Antidote to Corporate Media
1,259,006 comments by 15,027 users - GNL, stereotomy online now