A look at COVID-19 infection data from the UK… Recently it was reported in a substack article: based on UK data, that vaccine efficacy had become negative for all age groups above 18. Similar trends have been seen in other countries, leading to research and discussion on vaccine effectiveness in the context of the Omicron variant.
The claim that the unvaccinated were less likely to get tested is spurious in so much as the unvaccinated were systematically required to get tested to gain entrance to large attractions, clubs, football grounds etc. The case numbers in the UK never went below 25,000 from late June. This was most likely fully vaccinated people complacently going about their lives as if they were fully protected believing the vaccines actually worked.
Hi Andrew, If you like crunching numbers it might be worth looking at the numbers in the NSW Weekly Surveillance Reports and www.covid19data.com.au there’s a treasure trove of Australian raw data. I’m currently crunching the NSW data to try and untangle the time shifted nature of “Two Effective Doses” etc. to work out the “true denominators” so I can properly estimate the vaccine effectiveness over time in NSW. My preliminary hunch is it’s a statistical illusion created by the time shifting caused by the definition of “effective dose” much like seen in some of Norman Fenton’s video where he time shifts death reporting to show how easily data can be misinterpreted. Also, you should check out John Dee’s substack, he amazingly randomised a large UK NHS data set and still found vaccinations to be effective. Your simple example above also applies to the NSW data, however, just dividing the numbers like have done doesn’t take into effect the group size. It gives you a clue as to what’s going on but not the whole picture.
P.S Norman Fenton’s Twitter post directed me here, he’s seams really good at what he does not sure why more people aren’t noticing the inconsistencies in the narrative.
The claim that the unvaccinated were less likely to get tested is spurious in so much as the unvaccinated were systematically required to get tested to gain entrance to large attractions, clubs, football grounds etc. The case numbers in the UK never went below 25,000 from late June. This was most likely fully vaccinated people complacently going about their lives as if they were fully protected believing the vaccines actually worked.
Hey Andrew, perhaps you’ll find this link interesting https://www.bitchute.com/video/256KlyHOlxJV
Hi Andrew, If you like crunching numbers it might be worth looking at the numbers in the NSW Weekly Surveillance Reports and www.covid19data.com.au there’s a treasure trove of Australian raw data. I’m currently crunching the NSW data to try and untangle the time shifted nature of “Two Effective Doses” etc. to work out the “true denominators” so I can properly estimate the vaccine effectiveness over time in NSW. My preliminary hunch is it’s a statistical illusion created by the time shifting caused by the definition of “effective dose” much like seen in some of Norman Fenton’s video where he time shifts death reporting to show how easily data can be misinterpreted. Also, you should check out John Dee’s substack, he amazingly randomised a large UK NHS data set and still found vaccinations to be effective. Your simple example above also applies to the NSW data, however, just dividing the numbers like have done doesn’t take into effect the group size. It gives you a clue as to what’s going on but not the whole picture.
P.S Norman Fenton’s Twitter post directed me here, he’s seams really good at what he does not sure why more people aren’t noticing the inconsistencies in the narrative.