Bad Advice
A study of armed forces members found that the flu vaccine increased susceptibility to coronavirus, yet that little rat Fauci is out there telling everyone to get a flu vaccine. Almost as though he’s not familiar with the science:
“Receiving influenza vaccination may increase the risk of other respiratory viruses, a phenomenon known as virus interference.”
“[Flu] Vaccine derived virus interference was significantly associated with coronavirus…”
Remember when we were supposedly going to have bodies in the streets and an overwhelm of the medical system, so we decisively boondoggled a huge amount of money to build emergency hospitals? You’ll be glad to hear that:
Good job guys!
In reality, the medical system has been so underwhelmed that as of Jun 4, at least 266 hospitals had to furlough employees.
This is despite them receiving billions in bailouts, too:
“Leading hospital chains have come under fire for furloughing employees despite receiving about $15 billion in government funding, according to analysis from The New York Times.
HCA Healthcare, a $36 billion company that made more than $7 billion in profits in the last two years and paid its chief executive officer $26 million in 2019, recently received roughly $1 billion in federal government bailout funding due to the coronavirus pandemic. HCA, along with other major healthcare services companies like Tenet Healthcare and the Mayo Clinic, have received more than $15 billion in funding from the federal CARES Act despite the fact that those companies all have billions of dollars in cash reserves, according to a report from the Times at the end of May.”
https://www.newsmax.com/us/hospital-bailout-cares-act-furlough/2020/06/08/id/971097/
Corporate socialism at its finest. Meanwhile we rugged free market individuals are getting hit hard (see parts 9 and 10).
This study followed one asymptomatic person known to have Covid-19 and analyzed the 455 people they came into contact with. Not one of them became infected. So not all asymptomatic carriers spread the disease. Yet we are all now being told to live in fear because asymptomatic carriers might spread the disease.
Here’s a WHO official talking about how they have some data showing that asymptomatic transmission of the virus is “very rare.” The very next day (possibly after she was reprimanded by her superiors for screwing up the narrative), she had to come back on camera and clarify:
“And that’s a very small subset of studies [showing asymptomatic transmission is rare]. So I was responding to a question at the press conference. I wasn’t stating a policy of WHO or anything like that,” she said. “Because this is a major unknown, because there are so many unknowns around this, some modeling groups have tried to estimate what is the proportion of asymptomatic people that may transmit.”
https://www.cnn.com/2020/06/09/health/who-coronavirus-asymptomatic-spread-bn/index.html
Right, so the preliminary data is showing asymptomatic transmission is rare, but some of their models (more on those below) are showing it’s possible. Shouldn’t the models be incorporating all available data rather than disagreeing with it?
Over 1,200 “health professionals” signed the most ridiculous letter I’ve ever seen, saying BLM protests are a benefit to public health but protests against the lockdown will hurt public health. You know, because THE MOST DANGEROUS VIRUS EVER is rampaging through our streets which are packed with protesters. It knows to stay away if you’re protesting the right thing, though. It’s a woke virus!
“However, as public health advocates, we do not condemn these [BLM] gatherings as risky for COVID-19 transmission… This should not be confused with a permissive stance on all gatherings, particularly protests against stay-home orders.”
Remember when the death tolls in Italy were used to scare everyone? Their death tolls may have been driven by incompetence too:
The Computer Models
There’s no better way to skew data than by using models and statistics. You can get any result you want if you play with them enough. The authorities are using computer models or cherry-picked statistics (like total cases) to justify the draconian mandates while the big picture is being largely ignored. As is evidenced below, the models have hardly proven to be oracles of truth.
UW IHME
“The April 5 model predicted that by the 5th, New York would need about 24,000 hospital beds, including 6,000 ICU beds. In fact, the model was off by a third — New York had 16,479 hospitalized COVID patients, 4,376 that were in ICU.
On April 8, the projected cumulative deaths were slashed to 60,145 (with the upper range again cut, to about 126,000). That is, in less than a week, the model proved to be off by more than 33 percent.”
“In a space of just six days starting April 2, two revisions (on April 5 and 8) have utterly discredited the model produced by the University of Washington’s Institute for Health Metrics and Evaluation. I wrote about the IHME’s modeling at National Review on Monday, the day after the first revision — which was dramatic, but pales in comparison to Wednesday’s reassessment.”
https://www.nationalreview.com/corner/coronavirus-pandemic-projection-models-proving-unreliable/
Neil Ferguson & Imperial College London
“Dr. Neil M. Ferguson, a British epidemiologist who is regarded as one of the best disease modelers in the world, produced a sophisticated model with a worst case of 2.2 million deaths in the United States.
I asked Ferguson for his best case. “About 1.1 million deaths,” he said.”
https://www.nytimes.com/2020/03/20/opinion/sunday/coronavirus-outcomes.html
Total US deaths to date: ~138,000, with a falling fatality rate (see parts 1 & 2). So far we’ve reached 1/8 of his “best case” prediction in only 8 short months. Ladies and gentlemen, I present one of the best disease modelers in the world!
“NEIL FERGUSON, one of the Government’s senior scientific advisors on the coronavirus response was financed by the pharmaceutical industry in the run-up to the 2009 Swine Flu pandemic, unearthed reports reveal.”
“Just as Prof Ferguson’s prediction models have proved decisive in the ongoing fight against coronavirus, so too were his models used as a precedent in the fight against Swine Flu (N1H1).
His team at Imperial College predicted a scenario in which 65,000 people in the UK died – a significant benchmark in the WHO’s decision to issue a pandemic.
In the end, the UK death toll from Swine Flu stood at 457.”
“A month later that 2.2 million estimate was still being used (without revealing the source) by President Trump and Doctors Fauci and Birx to imply that up to two million lives had been saved by state lockdowns and business closings and/or by federal travel bans.”
“In short, the Imperial College projection that 81% of the U.S. population could be infected if everyone just did literally nothing to protect themselves or others is inconsistent with rational risk avoidance, history and recent experience…”
“Epidemiologists have since found growing evidence that the number of undetected cases with few symptoms or none is much larger… A middling estimate of 0.22% would by itself reduce the infamous 2.2 million death estimate to half a million even if 81% were somehow infected.”
https://www.cato.org/blog/how-one-model-simulated-22-million-us-deaths-covid-19
“So how is the model’s projection performing? Sweden’s government stayed the course with its milder mitigation strategy. As of April 29th, Sweden’s death toll from COVID-19 stands at 2,462, and its hospitals are nowhere near the projected collapse.”
“Although only time will tell how the comparative strategies continue to hold up, these early results do not speak well of the accuracy of predictions built around the ICL [Imperial College London] model.”
https://www.aier.org/article/imperial-college-model-applied-to-sweden-yields-preposterous-results/
Some software engineers analyzed the code used in the Imperial College model:
“Due to bugs, the code can produce very different results given identical inputs. They routinely act as if this is unimportant.
This problem makes the code unusable for scientific purposes, given that a key part of the scientific method is the ability to replicate results.“
“There are numerous bugs in the code and the documentation suggests to run it several times and take the average. This is just unthinkable! A program should produce the same result with the same data from which it begins. Therefore, there is no possible way this model would ever produce the same results. In reality, this model produces completely different results even when beginning with the very same starting seeds and parameters because of the attempt to also make the seed random. This is not even as sophisticated as SimCity, which is really questionable.”
https://www.armstrongeconomics.com/world-news/corruption/i-have-reviewed-fergusons-code/
“British media are making a great deal about Ferguson being forced to resign from the government’s virus advisory board yesterday after revelations he had violated lockdown rules he had championed in order to conduct an affair with a married woman.”
“Elon Musk calls Ferguson an ‘utter tool’ who does ‘absurdly fake science.’”
https://www.nationalreview.com/corner/professor-lockdown-modeler-resigns-in-disgrace/
Ferguson is a worthless pharma-funded bastard who churned out a shitty model, has a history of churning out shitty models, and broke the quarantine he advocated for to see his mistress even after he himself tested positive. He should be extradited and hung for crimes against humanity. Truly the public’s faith in the promise of science and experts deserves to be at an all-time high.