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Covid Lies
Posted by: Jennifer ()
Date: September 07, 2021 12:36AM

That's how 'they' roll ...

Spinning, twisting and downright LIES angry smiley

The Lie is spread far and wide and becomes common knowledge.

I remember reading this Lie -

Hoax Report: Rolling Stone Falsely Claims Ivermectin Overdose Patients Flooded Oklahoma Hospitals


Rolling Stone magazine ignited a firestorm of criticism this weekend after pushing a false report claiming ivermectin overdose patients were overwhelming Oklahoma hospitals

In the original article, Rolling Stone cited testimonies from Dr. Jason McElyea, who told KFOR that overdoses of ivermectin – a popular and yet-t0-be proven alternative treatment for the coronavirus – were causing an overflow in rural Oklahoma hospitals.

“The ERs are so backed up that gunshot victims were having hard times getting to facilities where they can get definitive care and be treated,” McElyea said, as reported by Rolling Stone.

“All of their ambulances are stuck at the hospital waiting for a bed to open so they can take the patient in and they don’t have any, that’s it,” added McElyea. “If there’s no ambulance to take the call, there’s no ambulance to come to the call.”

McElyea said that overdose patients experienced such side effects as nausea, vomiting, muscle aches, cramping, and even blindness.

“The scariest one that I’ve heard of and seen is people coming in with vision loss,” the doctor told the outlet.

Multiple media outlets, from The Guardian to Rachel Maddow to the BBC, ran with the story, all of them proclaiming how medicine used to treat horses has threatened to crash Oklahoma’s healthcare system. Just one problem: the story was completely false.

According to the Northeastern Health System Sequoyah, a hospital McElyea was listed as being affiliated with, the doctor is not a current employee and there have been no patients “due to complications related to taking ivermectin.”

After significant blowback, Rolling Stone only updated the piece and issued a formal correction rather than retracting it entirely. The headline now reads, “One Hospital Denies Oklahoma Doctor’s Story of Ivermectin Overdoses Causing ER Delays for Gunshot Victims.”

"Update: One hospital has denied Dr. Jason McElyea’s claim that ivermectin overdoses are causing emergency room backlogs and delays in medical care in rural Oklahoma, and Rolling Stone has been unable to independently verify any such cases as of the time of this update."


Also - the obligatory FAKE PHOTO -

Later, it was revealed that the photo Rolling Stone used to illustrate an overflow of emergency room patients was actually from January at a church in Oklahoma City where residents waited in line to get the coronavirus vaccine.


(Smart comment about the fake photo)

"Yeaaah, this is how I would dress when the temperature averages 85 degrees in the month of September in OKC."


Rolling Stone previously settled a defamation suit in 2017 following the University of Virginia rape story hoax.


Spinning - like they call Ivermectin 'horse dewormer' when it's more than that and they damn well know it.

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Re: Covid Lies
Posted by: Jennifer ()
Date: September 15, 2021 11:18PM

About all those Hospitalizations ...

More Spinning, Twisting and LYING from 'The Other Side' - angry smiley

Our Most Reliable Pandemic Number Is Losing Meaning

A new study suggests that almost half of those hospitalized with COVID-19 have mild or asymptomatic cases.


At least 12,000 Americans have already died from COVID-19 this month, as the country inches through its latest surge in cases. But another worrying statistic is often cited to depict the dangers of this moment: The number of patients hospitalized with COVID-19 in the United States right now is as high as it has been since the beginning of February. It’s even worse in certain places: Some states, including Arkansas and Oregon, recently saw their COVID hospitalizations rise to higher levels than at any prior stage of the pandemic. But how much do those latter figures really tell us?

From the start, COVID hospitalizations have served as a vital metric for tracking the risks posed by the disease. Last winter, this magazine described it as “the most reliable pandemic number,” while Vox quoted the cardiologist Eric Topol as saying that it’s “the best indicator of where we are.” On the one hand, death counts offer finality, but they’re a lagging signal and don’t account for people who suffered from significant illness but survived. Case counts, on the other hand, depend on which and how many people happen to get tested. Presumably, hospitalization numbers provide a more stable and reliable gauge of the pandemic’s true toll, in terms of severe disease. But a new, nationwide study of hospitalization records, released as a preprint today (and not yet formally peer reviewed), suggests that the meaning of this gauge can easily be misinterpreted—and that it has been shifting over time.

If you want to make sense of the number of COVID hospitalizations at any given time, you need to know how sick each patient actually is. Until now, that’s been almost impossible to suss out. The federal government requires hospitals to report every patient who tests positive for COVID, yet the overall tallies of COVID hospitalizations, made available on various state and federal dashboards and widely reported on by the media, do not differentiate based on severity of illness. Some patients need extensive medical intervention, such as getting intubated. Others require supplemental oxygen or administration of the steroid dexamethasone. But there are many COVID patients in the hospital with fairly mild symptoms, too, who have been admitted for further observation on account of their comorbidities, or because they reported feeling short of breath. Another portion of the patients in this tally are in the hospital for something unrelated to COVID, and discovered that they were infected only because they were tested upon admission. How many patients fall into each category has been a topic of much speculation. In August, researchers from Harvard Medical School, Tufts Medical Center, and the Veterans Affairs Healthcare System decided to find out.

Read: America’s entire understanding of the pandemic was shaped by messy data

Researchers have tried to get at similar questions before. For two separate studies published in May, doctors in California read through several hundred charts of pediatric patients, one by one, to figure out why, exactly, each COVID-positive child had been admitted to the hospital. Did they need treatment for COVID, or was there some other reason for admission, like cancer treatment or a psychiatric episode, and the COVID diagnosis was merely incidental? According to the researchers, 40 to 45 percent of the hospitalizations that they examined were for patients in the latter group.

The authors of the paper out this week took a different tack to answer a similar question, this time for adults. Instead of meticulously looking at why a few hundred patients were admitted to a pair of hospitals, they analyzed the electronic records for nearly 50,000 COVID hospital admissions at the more than 100 VA hospitals across the country. Then they checked to see whether each patient required supplemental oxygen or had a blood oxygen level below 94 percent. (The latter criterion is based on the National Institutes of Health definition of “severe COVID.”) If either of these conditions was met, the authors classified that patient as having moderate to severe disease; otherwise, the case was considered mild or asymptomatic.

The study found that from March 2020 through early January 2021—before vaccination was widespread, and before the Delta variant had arrived—the proportion of patients with mild or asymptomatic disease was 36 percent. From mid-January through the end of June 2021, however, that number rose to 48 percent. In other words, the study suggests that roughly half of all the hospitalized patients showing up on COVID-data dashboards in 2021 may have been admitted for another reason entirely, or had only a mild presentation of disease.

This increase was even bigger for vaccinated hospital patients, of whom 57 percent had mild or asymptomatic disease. But unvaccinated patients have also been showing up with less severe symptoms, on average, than earlier in the pandemic: The study found that 45 percent of their cases were mild or asymptomatic since January 21. According to Shira Doron, an infectious-disease physician and hospital epidemiologist at Tufts Medical Center, in Boston, and one of the study’s co-authors, the latter finding may be explained by the fact that unvaccinated patients in the vaccine era tend to be a younger cohort who are less vulnerable to COVID and may be more likely to have been infected in the past.

Read: Why the pandemic experts failed

“People ask me, ‘Why am I getting vaccinated if I just end up in the hospital anyway?’” Griffin said. “But I say, ‘You’ll end up leaving the hospital.’” He explained that some COVID patients are in for “soft” hospitalizations, where they need only minimal treatment and leave relatively quickly; others may be on the antiviral drug remdesivir for five days, or with a tube down their throat. One of the values of this study, he said, is that it helps the public understand this distinction—and the fact that not all COVID hospitalizations are the same.

But the study also demonstrates that hospitalization rates for COVID, as cited by journalists and policy makers, can be misleading, if not considered carefully. Clearly many patients right now are seriously ill. We also know that overcrowding of hospitals by COVID patients with even mild illness can have negative implications for patients in need of other care. At the same time, this study suggests that COVID hospitalization tallies can’t be taken as a simple measure of the prevalence of severe or even moderate disease, because they might inflate the true numbers by a factor of two. “As we look to shift from cases to hospitalizations as a metric to drive policy and assess level of risk to a community or state or country,” Doron told me, referring to decisions about school closures, business restrictions, mask requirements, and so on, “we should refine the definition of hospitalization. Those patients who are there rather than from COVID don’t belong in the metric.”


So many roads of this FAKE Pandemic lead back to the Faux Inaccurate (on purpose) PCR Test ...

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Re: Covid Lies
Posted by: RawPracticalist ()
Date: October 03, 2021 03:54PM

She had the flu and was misdiagnosed?

Sabalenka positive for virus, out of BNP Paribas Open


Edited 1 time(s). Last edit at 10/03/2021 03:55PM by RawPracticalist.

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Re: Covid Lies
Posted by: Jennifer ()
Date: October 03, 2021 04:53PM

IDK if she had the flu or what. Or probably nothing. Because - THE TEST IS INACCURATE in that there are - I forget what percentage, but it's high - FALSE POSITIVES.

She said this -

"So far I'm feeling OK but really sad to not be able to play this year.”

So that may or may not mean she HAS NO SYMPTOMS ...

That's where the 'ASYMPTOMATIC' Hoax comes in.

Another LIE -

If a person Tests Positive for Covid, but has No Symptoms - Ta Da! They're "ASYMPTOMATIC"!

(And the Stupid Sheeple gobble it up and run with it) eye rolling smiley

Don't know which is the bigger SCAM -

The False Positive Inaccurate Test with the 'ASYMPTOMATIC' Diagnosis of Covid

- or -

The Vaxxed People getting HORRIBLE Reactions from the Vaccine, but diagnosed as having - Ta Da! "The Delta Variant!"

(And the dumbass Chicken Little/True Believer/Statists Stupid Fools run around parroting:

"The Delta Variant ... The Delta Variant ... The Delta Variant" grinning smiley

It's laughable ... except they're - the Enablers - screwing us over angry smiley

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Re: Covid Lies
Posted by: fresh ()
Date: October 03, 2021 07:42PM

How about
Breakthrough cases!!

Instead of saying the vax doesnt work

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Re: Covid Lies
Posted by: Jennifer ()
Date: October 03, 2021 07:53PM

Yes, more subterfuge -

Instead of, "The Vaccine is ineffective," it's -

"Breakthrough cases."

The Simpletons fall for that one, too. grinning smiley

Edited 1 time(s). Last edit at 10/03/2021 07:57PM by Jennifer.

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