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Create a false pandemic without a single infection. How did they do it? Imagine a test for an infection that was 95% accurate. This means it generates a false positive only 5% of the time. 95% of the time it is bang on. That is pretty good for a test. So suppose we use this test on a population of 10 million. How many false positives will we get? Well, 5% of 10 million is 500,000 false positives. So there you have it. We have reached pandemic level without a single infection. Even without a single soul infected, we have generated 500,000 false positives – 500,000 cases. What I am saying is that even a tiny percentage of false positives when applied to a large population will generate a convincing appearance of a pandemic. Vaccine vendors should take note. An easy way to create a false pandemic is simply to test EVERYONE with any diagnostic test that is less than 100% accurate, and bingo. A COVID example At its peak, the UK was administering 1,800,000 PCR tests each day. If the PCR was 95% accurate, this would create 90,000 false positives every day - 630,000 false positives each week – and a staggering 2,700,000 false positives each month. What was the percentage accuracy of the PCR for detecting COVID? To assess this, researchers gave subjects a PCR test, then took a cell culture to detect if they were infected. When the PCR was set at a cycle of 25, 30% were false positives. At 30 cycles, 80% were false positives, and at 35 cycles 97% were false positives. What does this mean ? Even at a low cycle of 25, if the PCR was administered 1,000,000 times each day (typical of 2021 - Daily COVID-19 tests then it would generate 30% false positive = 300,000 false positives each day.)As you can see here – the peak number of cases in 2021 were all around 300,000 per day. UK: Daily new confirmed COVID-19 cases (https://t.co/AHFg8r367Q)