The corporate media news cycle this week is once again promoting fear in the American population by claiming that COVID cases are again on the rise in "hot spots," prompting calls for more lock downs and other measures, including many states now requiring people to wear face masks in public. Two key pieces of information are missing from almost all of these reports in the corporate media: death rates (even by their own statistics) are NOT increasing but holding steady or even decreasing, and inaccuracy with the tests themselves are still widespread. A report earlier this month out of Wichita Falls, Texas, for example, revealed that testing of residents and staff at a medical facility revealed many positive results, but since none of them were sick, they retested 20 of them, and the second test result was negative in all 20 of them. The national corporate media franchises would probably never publish something like this, because it doesn't fit their narrative for the Plandemic. They do report inaccuracies with testing, however, if it does fit their narrative, meaning that tests are inaccurate in the sense that there should be more positive results, especially if it is a test promoted by President Trump, such as Abbott's fast COVID-19 test. FierceBiotech, a pharmaceutical marketing publication, reported on this issue this week with an article titled: "As problems grow with Abbott's fast COVID-19 test, FDA standards are under fire." About the only truth the public can ascertain from all of these conflicting reports is, the COVID tests simply are not accurate. As the FierceBiotech publication noted, over 100 COVID-19 diagnostic tests have received FDA emergency use authorization to fast-track them and bring them to market. That means ZERO COVID tests have gone through the full approval process to bring a test to market, which would normally take years. The REAL crisis is happening among our seniors in assisted living facilities. Estimates are that 30% to 50% off all reported COVID deaths are among seniors in these assisted living facilities. Investigative reporter Jon Rappoport reported on this issue this week, and asked the question: Who cares about all the old people dying?
We are witnessing one of the most extraordinary events in human history, and certainly the most far-reaching and impactful event in all of our lifetimes, because of the effects of what we are being told is a single coronavirus. The rationale for the extraordinary events we are seeing today all come down to one dataset: the amount of people infected with this coronavirus, and the rate at which people are dying from it. This can only be justified by one simple fact: we know how to identify and test for this single virus. If this single fact cannot be proven, or if it is proven to be false, and we really do not have the means to accurately test for this virus, then everything that has transpired as a direct result of trusting the data that this test is based upon, has been built on a faulty foundation that does not exist. Does this sound like a conspiracy theory? Because if you dare to ask the question, that is what you will be accused of for daring to question the accuracy of the test, and therefore the accuracy of the data that this test allegedly proves. So let's start with the facts that most everyone agrees upon, or that can be easily verified.
Tests that can accurately test for the COVID-19 virus have been a hot topic since the pandemic started. I have previously highlighted the pharmaceutical infighting with each other over the lucrative COVID-19 test market, where it is admitted that some tests, in this case anti-body testings, are notoriously unreliable. This begs the question: do we actually have a test that can accurately identify a COVID-19 virus? It is a controversial question, and yet the official numbers of COVID-19 deaths are broadcast daily, like the score of a sports game, and uniformly accepted as accurate, never questioning the accuracy of these numbers. If the question does come up in the corporate media, the general assumption is that the true numbers are probably much higher. Where's the proof?