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[–]zyxzevn 7 insightful - 4 fun7 insightful - 3 fun8 insightful - 4 fun -  (1 child)

It is probably worse.

1) The test-requirements for unjabbed are different. They use higher PCR recycle counts. Like 28 versus 40 in the US. In certain Pfizer trials they assumed that you can't get covid when you are jabbed (giving the 95% efficacy), and this belief is also still going on.

2) People that just got the jab, are often still counted as "unvexed". So this will add to the count. In the UK this difference was contributing to most of the cases. If you added a week or two in the data, there were almost no "unvaxed" in the hospital.

3) In certain states or countries unvaxed have strict testing requirement. While the jabbed can often skip testing. Some countries allowed travel for unvaxed, after a positive test and waiting a few weeks. So people started infecting each other to get a positive test.

4) In some cases we do not even know if Covid exists, because the flu or other diseases can give positive PCR tests or other positive results.

This all differs in time, as the governments change everything to push a high or low number of cases, depending on what policies they want to install.

[–]StillLessons 7 insightful - 3 fun7 insightful - 2 fun8 insightful - 3 fun -  (0 children)

This all differs in time, as the governments change everything to push a high or low number of cases, depending on what policies they want to install.

Great point. The actual case numbers are beyond suspicious because of all of the elements you're talking about here. I work with the numbers as given, because they're the only numbers we have, but the effects you are talking about here are profound, meaning that all these datasets are essentially garbage before they are ever published. The effects of the lies about covid absolutely swamp the actual signal of the disease itself. Because of this, in the end, none of us actually knows what we're looking at. This is as true within the medical community as it is outside it.