Executive summary
This is it. This is the big one. Finally.
This is the story of the most damaging childhood vaccine study ever done.
I asked all four major AI engines to predict the outcome before showing them the results. All four said the same thing: the OR will be <1 and there will be minimal sex differences.
The actual result: OR >1 in 54/55 subgroup analyses and massive sex differences.
You would simply never see these results if the childhood vaccines were safe.
Nobody can explain the relatively higher deaths in the vaccinated cohorts if they were not caused by the vaccines. They all try to deceive you into believing the study methodology is subject to confounders and should be considered unreliable.
There are 3 biases that impact this study:
- Selection bias: The healthy vaccinee effect moves OR < 1 so that doesn’t explain the signal.
- Immortal time bias: This was caused by requiring everyone to be vaccinated before they die. Thus, if all kids are never vaccinated <60 days, then the unvaxxed group cannot die until they’ve been vaccinated. This was a big oversight in the paper. It might move OR > 1 depending on the data. If most all kids had their first vaccine < day 60 like their HepB vaccinate at birth, then this bias makes no difference. I’ve made the study authors aware of this. The limitation can be corrected by requiring a vaccination record match found prior to the landmark date (day 90).
- Right truncation bias: This affects only the Vaxelis group because Vaxelis was only available starting in 2021 so these recipients had less time to die than the unvaccinated group. This inflates the OR for the vaccinated group, but even after correction, it’s still a problem. I’ve made the study authors aware of this.
All Bradford Hill causality criteria are satisfied. So this isn’t just correlation. This is CAUSATION. The sex signal is not subject to any of the biases identified above.
This means that the recommended vaccines for 2 month old kids are unsafe.
There is no credible way to attack this study.