Analysis of the antibody testing data from the #Pfizerdata dump shows that their "too good to be true" graph - and the famous "95% prevention of infection" claim cannot be real.
You see, the claim was that 162 people in the placebo group got #covid19 *infection* but only 8 in the BNT162b2 group - a 95% reduction.
So was there another way to test infection rates?
Yes. N (nucleocapsid) antibodies.
So since the #Pfizerdump and #site4444 discovery a few of us have been beavering away looking at their own data - which is a mess - and trying to corroborate it.
Here is the N-antibody data from their "adva" file
[warning - it takes some work to get this data]
Note that both groups are similar (we have checked they are not statistically different) EXCEPT in the group which were NEG for N-antibody at the start of the trial, and POS for N-antibody at Visit 3 (1 month after dose 2)
i.e. they were infected with #covid19 in that time
That group (NEG->POS) reflect the groups that got infected with #SARCOV2 during the study period.
Well that's interesting... because the number in the placebo group is similar to the magical 162, but instead of 8 in the vaccine group - there are 75!
On the face of it the vaccine is still "working" (just) because the vaccine efficacy here is about 53% - nowhere near 95%.
But it's worse, because the vaccinated don't produce N-antibody at the same rate as the unvaccinated.
In fact the rate of N-antibody between vaccinated ( with mRNA) and unvaccinated who were known to have #covid19 infection was 40% vs 93%
That is, the vaccinated produce N-antibodies 2.3x less often during infection than the unvaccinated.
Which means we have to adjust the number of patients who tested positive at the 1 month post-vaccination point upwards by 2.3x giving us this:
At best there is NO difference between the groups (the treated group seem to do worse, but it's not significant)
In fact, anything over 130 in the Bnt162b2 group here would mean there was NO significant difference in documented infection rates (chisq p<0.05), so even if the multiplication was a conservative 2.0x instead of 2.3x, there would be no difference
@JesslovesMJK
Presumably they thought nobody would notice. And they could claim that there was a 95% reduction in infection rate - based SOLELY off a PCR test that they controlled in their own lab.
Unfortunately, we did. Their own data says that was false.
Here's the ADVA data file (zipped .csv) for those that are really interested in looking at this for themselves. Converted from the relevant xpt file at ICANdecide.org
Update: Because there are a few people making the same mistake, I'll try and clarify. The sponsor only ever claimed that there was a 95% reduction in "cases" which they defined as being a positive PCR test conducted in their own lab.
@sonia_elijah
What @TheBurninBeard is saying here is that the clinical samples that had "COVID" also had gene signatures of Mycoplasma fermentans, a US military pathogen that can be used as a vector to carry viral clones.
@SabinehazanMD found it too.
π§΅
#spraygate @BrokenTruthTV
Can you see that Norman Pieniazek, who headed up the CDC's research division at the time that the @CDCgov sent biological weapons to Iraq to start a war, took himself out of this thread?
Every vaccine scientist will try to convince you that the drop in u25 cancers was due to the vaccine when it was merely due to the change in screening.
But check out the HUGE RISE in 25+ cancers. This pattern is repeated in Scotland and Australia where similar changes to the screening age were made a few years after the introduction of coerced vaccination, obfuscating the figures to hide a scandalous rise in 25-29 age cervical cancers after the vaccine rollout.
For clarity most cancers in this age group are early and detected on screening before they become advanced. Moving the screening age meant that they were diagnosed later and therefore in an older age bracket.
The big red arrow is pointing to the preinvasive diagnoses which tend to mirror the actual cancers - the upper chart was too busy.
Here is the same from the OP with arrows showing both cancer (above) and precancer (below) which both rose significantly after the vaccine rollout
And here is the same data from Cancer Research UK (smoothed) showing a doubling of cancer rates in the over 25s for at least 5 years after the vaccine rollout. cancerresearchuk.org/health-professβ¦