Hilarious. In what other effectiveness calculation are you allowed to throw away the period of time the result is going against you?
To what extent is vax merely front-loading infections into the initial 14-day period which is then excluded from calculations?
There have been numerous papers published showing how well the vaccines protect people after the second dose. Some of this effect is an illusion. The effect happens as a result of inaccurate measuring and a phenomenon called survivorship bias.
Survivorship bias happens when a group is compared at two time points, but the members of the group change between the time points. [Those who get infected within the first two weeks after injection for some reason do not count.] It would be like assessing the quality of a swimming school which favours the technique of throwing people into the middle of the ocean, leaving them for a couple of hours and claiming credit for how well the remaining students can swim. After two hours, the only people left would be the ones who could already swim and possibly a few who learnt to swim the hard way! The poor souls who drowned in the interim don’t even make the count. Attributing the remaining people’s swimming ability to the coach who turned up 2 hours later would obviously give a very misleading picture. Pointing out that no-one drowned in later lessons would be equally misleading in determining the success of the ‘teaching technique’.
With covid vaccination there is a two week period after vaccination that is not included in the data. The rationale given for this is that vaccines take a while to induce antibodies and therefore the first two weeks’ data are not relevant. Obviously this is flawed. What if the vaccines have deleterious effects that are visible straightaway, that have nothing to do with antibody production? An example is the high rate of shingles seen after covid vaccination, suggesting there is a problem with viral reactivation. This may explain why Sars-CoV-2 infection rates are actually higher in the vaccinated than in the unvaccinated in the first two weeks after vaccination.
The effect of eliminating the first two weeks is a misleading data bias. If people become infected and are dying during that period, this needs to be included. [Especially since we know for a fact that infection rates shoot up during this period.] The possibility that the vaccine itself may exert an effect on infection rate cannot be overlooked and the entire dataset needs to be included in order to accurately assess effectiveness. By only measuring the period after the higher risk of infection (0-14 days) it is possible to be deceived. Any signal would be missed.