First: Why bother with a vaccine that doesn't stop transmission and was never going to?
Second: Why would you be willing to take such an unknown risk with your body and health for a virus that is easily survivable?
Here's the report: So You Got Vaccinated … And Then You Got COVID. Now What?
Flint was vaccinated against COVID-19 already, so he assumed he’d be immune. A social worker in New York who provides home hospice services to the dying, he was one of the first people in the country to get the vaccine. By the time he sat down in his father-in-law’s bedroom on Jan. 19, he’d been fully vaccinated for a week. The odds were in his favor.
But odds are fickle things. In a game of chance, not everybody gets to win, even if the odds of winning are high. Flint rolled … and he lost, diagnosed with a mostly asymptomatic case of COVID-19 on Jan. 25. That, by itself, wasn’t a shock. He’d known that some people would still get the virus despite being vaccinated. Even the mRNA vaccines’ famed “95 percent efficacy” was really a measure of how well the vaccines prevented symptomatic cases. But Flint didn’t expect to be one of the people who slipped through the cracks. More importantly, though, he expected somebody to care. “I thought there’d be some mechanism,” he said. But nobody asked him about his vaccine status when he got tested. There was nowhere to file that information with his doctor. And that was the part that confused Flint. “Shouldn’t somebody want to know?” he asked.
Oh, Flint. No one really wants to know. It would burst the delusion bubble.
Yep, they should. And they do. Efforts are already underway to gather information that will help scientists understand how effective the COVID-19 vaccines are in the real world. But “How well do vaccines work?” and “Should we be counting every vaccinated individual who gets the disease?” are two different questions.
That complication starts with some basic facts about the effectiveness of the Pfizer and Moderna vaccines currently available in the U.S. Scientists say there is a difference between “efficacy” and “effectiveness.” Efficacy is the 95 percent number you get from a clinical trial. Effectiveness is what the number is once you’re vaccinating millions more people, some of whom will be older or sicker or more likely to be exposed to a virus than trial participants. It’s a metric that encompasses all the messiness of real life, including that vaccines won’t always be administered in ideal ways, said Dr. Kelly Moore, deputy director of the Immunization Action Coalition, an organization that works with the Centers for Disease Control and Prevention to educate the public on vaccines. “You have people who forget to come back for a second dose or come back late. Perhaps there’s a dosing administration error, or a storage problem,” she said. And that’s before you even start getting into whether new variants like the B.1.1.7 — originally found in the U.K. but expected to become dominant in the U.S. by March — might be more resistant to the vaccines than the variants those vaccines were tested against back in the fall.
The CDC will be tracking real-world COVID-19 vaccine effectiveness in multiple studies, using different methodologies in different places at different times. Some studies — like one that tracks groups of vaccinated and unvaccinated health-care personnel over time — are already underway.
Other studies are just getting off the ground. One CDC effort will piggyback on an existing system created to track the effectiveness of flu vaccines. At five medical research centers — in Michigan, Pennsylvania, Texas, Washington state and Wisconsin — every person who comes in with a cough or other respiratory symptoms can become a study participant. All of them will be tested for COVID-19. The ones who test positive are the cases; the ones who test negative become the controls. Researchers will then compare rates of vaccination between the two groups. Those studies are just beginning, though, because you can’t study the vaccine until people actually start getting it.
“It’s only as the vaccine gets rolled out to larger sections of the population that it becomes feasible to do. We’re just getting to that point now in Wisconsin,” said Dr. Ed Belongia, director of the Marshfield Clinic Research Institute’s Center for Clinical Epidemiology & Population Health — the flu vaccine-effectiveness research center in Wisconsin — on Feb. 11. “You can’t learn anything when only 1 percent of the population is vaccinated.”
The CDC is taking multiple approaches to this because the real world lacks something that’s easier to control in a clinical trial: randomization. Unlike in that lab setting, you can’t pick some people to get the vaccine while denying it to others. What’s more, people don’t just sign up for clinical trials randomly, and that affects the results. People who want to participate in a study may differ in some ways from the population as a whole. Doing different kinds of studies that compare groups in a variety of ways helps reduce some of the uncertainty in the overall results.
But none of these efforts will study vaccine effectiveness by counting all the individual cases like Flint’s. There is CDC research aimed at doing that, but it’s not about vaccine effectiveness. Instead, that project, a partnership with state health departments, is meant to spot trends in who the vaccine isn’t working for.
There is no real interest in tracking those who get the vaccine and then get Covid. Why would there be? Stopping transmission was never the intent for these vaccines. Therefore no one is going to keep track of what should be characterized as a FAIL.
You can read the entire article at the link provided. Nutshell- the 'vaccine' was never tested for or shown to reduce transmission. It's known. Why bother
Social immunity is establishing itself very well- no vaccine necessary. I believe the massive global drop in cases- starting around the 8-10th of January 2021 already demonstrates that natural immunity has kicked in. And is doing exactly what should be done.
We'll Have Herd (Social) Immunity from Covid-19 By April of This Year (77% Drop In Six Weeks) John Hopkins Professor