Other Vaccine Wars articles can be found here. The RTE Locals community is here.
https://twitter.com/joshg99/status/1644376707023904769?s=20
This sounds juicy, but let us first remind ourselves that regardless of any original criminal sin, the trial data never looked as clean as the image that was sold to us (by the world's largest corporate criminal offender that is standing trial for funding terrorists who murdered American troops, ahem).
We Should Have Distrusted These Trials On Day One
I did.
In December 2020, when the Pfizer trial report was first published, I scanned through it thinking, "This is awfully quick and sudden. After all the early treatment shenanigans I found during 2020, I wouldn't be surprised it…WHOA."
The "WHOA" was found on page 18, which recorded a massive differential in the trial exclusion data that overwhelms the entire effect size.
I included that in my articles about vaccine risks, which was the most conservative possible arrangement of the risks that I could summon in an evening.
While the date of that article is April 21, 2021, here is a post from my Facebook from January 14, 2021, after I'd been arguing the point in forums.
Second half:
Though many of my posts were deleted off of Facebook, and I was banned there for nearly five months of 2021, it is clear that I was responsible for bringing attention to the topic of the data exclusions from early on. (I mention this not because I need any congratulations, but mostly because I've wagered that Steve's article will champion his blogging of the fact without mention of how I pointed this out to him around May 2021. It is important that the attention monopolists keep me invisible.)
Sadly, I have dozens of Facebook friends who are mathematicians and statisticians who should have jumped into the conversation at this point, but did not, or continued to remain obstinate about the mounting evidence of fraud all over the Plandemonium data sets. Twenty-seven months later, many of them are cowering behind walls of cognitive dissonance. Their psyches might never be able to handle the resolution, or else it will take a brutal internal reckoning.
So, do we have any evidence that 250ish patient differentials in trials of 44,000 people can entirely engineer the result?
Let us first recall that the PCR proxy test (which is now conveniently buried and out of production, and was calibrated in testing against…water, not uninfected patients) used in the trials was never tested for confounding by vaccination, so there is no reason to accept the results from the outset.
However, that is not necessarily the reason for the vaccine efficacy computations that fly in the face of the retrospective data by U.S. county (once Healthy User Bias gets applied), or by nation. Some vaccines have been found to confound PCR testing, while others have not. We can only be certain that the experiment was incomplete, which is to say that there was not evidence to conclude vaccine efficacy.
Now things get worse. Much worse.
The 301 Missing ID Numbers
It's important to know the algorithms.
https://twitter.com/joshg99/status/1644376709062434818?s=20
And when an algorithm this important isn't followed, you can and should expect a note in the trial supplement explaining the reason why (much like lopsided data exclusions). These omissions should look sinful to any faithful scientific mind. Somebody who ignores them should not be trusted for judgment.
It gets worse. The distribution of gaps is not statistically natural.
https://twitter.com/joshg99/status/1644376713265127424?s=20
The Argentinian trial site already looked suspect.
https://twitter.com/joshg99/status/1644376715752251393?s=20
Of course, as with most of the critically important data held by authorities and vaccine manufacturers throughout the Plandemonium, there doesn't seem to be much motivation to make it all available, promptly.
https://twitter.com/joshg99/status/1644376723838910464?s=20
An audit. I am old enough to remember the parroted selling point that Warp Speed was trustworthy because it was conducted with peak transparency.
I recommend reading the full article at OpenVAET, here, and then sharing this story widely.
P.S. While I was writing this article, Twitter went to war with Substack. I personally think this is a misguided move on Elon's part. Substack notes will likely be very different from Twitter because Substack requires a far greater level of mental and emotional engagement than Twitter. Twitter's problem is the cheapness of the race to the bottom—not to mention the reality that somebody's secret algorithm determines your level of engagement and interaction. And now Elon has signaled that he doesn't know how to compete at a healthier level, so walling off the garden is the knee-jerk move. That is all very revealing.
Great breakdown, thanks a lot for linking to the latest & your analysis.
Thanks as well for the disappeared Facebook post; we opened this Substack spree a month & a half ago by reminding you raised early awareness on this exclusion shocker (https://openvaet.substack.com/p/pfizerbiontech-c4591001-trial-a-deeper) which should have been sufficient to trigger an audit - but it'll be better with the Facebook post - edited to link here.
People trying to keep you invisible you should carry on, aside for the fact that they are doomed to fail, it makes them a lot easier to spot 😌
Excellent piece!
I will add that Dr. Peter Doshi was key to my understanding of the exclusions (and other issues with the Pfizer trial). This link includes his “Everybody knows” speech to a US Senate Committee which is definitely worth a listen (or re-listen). Dr. Doshi has faced tremendous backlash and has been very brave in speaking out on this issue.
https://mark-skidmore.com/2021/11/06/dr-peter-doshis-remarkable-speech-everybody-knows/