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Crucial Viral Update (15th Oct) Why are the Media Undermining Science and Data? (Ivor Cummins)
This is the way the world ends. Not with a bang but a sneeze.
Original video: https://www.youtube.com/watch?v=CPmWYFlUK54&feature=emb_title&ab_channel=IvorCummins
Remember, folks: This is a virus so deadly that the vast majority of people have to take a test to find out whether they've had it or not.
Furthermore, with a 0.23% overall infection fatality rate (the latest best estimate according to the WHO), a rate comparable to the seasonal flu, and a rate which falls precipitously to 0.05% when you exclude the over 70s), the cost of having this virus around seems well worth the benefits, especially when you consider that it appears to have cured deaths due to all other causes. For example, did you know that there hasn't been a single death due to old age since March 2020? Quite the panacea Corona Chan is proving to be, don't you think?
Also, check out and share with as many people as you can Ivor Cummins' 37-minute video 'The Science, Logic and Data Explained' in which he analyses the last six months of COVID-19 https://www.bitchute.com/video/wCFjZfBhWa0u/
In his 'Science, Logic and Data' video, Cummins applies the scientific method and cool, dispassionate logic to counter the media's fallacious, hysterical, one-sided, sensationalist and fear-mongering propaganda.
A note from Vigilante Jesus on false positives:
Every competent medical professional and statistician knows that a test for a low prevalence virus or disease is next to useless when performed on healthy people who do not otherwise suspect they have the virus in question. This is because of the false positive rate. This is how we know random testing for COVID is a complete scam to create the illusion of a massive threat in the form of a casedemic to cover up the fact that we're a few months past the peak threat of the pandemic itself. This is no longer about controlling a pandemic (in any case, they couldn't do that any more than King Canute could hold back the tides). This is about controlling YOU!
If you read my next couple of paragraphs I'll make it real easy for everyone to understand the maths of this:
Pick out 1,000 people from the UK population at random. Given an infection rate of 0.2% (ONS figure for infection prevalence during winter months), we can expect 2 of those 1,000 to be infected and to test positive accordingly (I'll assume, for simplicity, there are no false negatives). But given Matt Hancock's claimed false positive rate of 0.8% (unlikely to be that low for any test, but we'll give the test the benefit of the doubt), 8 people who are not infected will also test positive for COVID. This gives us 10 COVID-positive results overall. But we know that out of those 10 positives, only 2 are actually infected. So the probability of infection given a positive result is 0.2 and the ratio of infections to false positives will be 1 actual infection to 4 false positives.
As if it weren't bad enough that the news media has switched from a pandemic to a casedemic to keep the fear levels high, they've switched to a false positive casedemic at that, whereby the cases they record are likely to be at least five times the actual infections due to the false positive rate. If the false positive rate is 2% (more in line with the average f.p rate for all tests), a test on healthy people will throw up 10 times more false positives than actual infections!
This is why tests for viruses (particularly low-prevalence viruses) on healthy people can never give meaningful results. The test can only be reliable when patients have good reason to suspect they already have the virus which is being tested for.
Category | None |
Sensitivity | Normal - Content that is suitable for ages 16 and over |
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