TSOT071: Devastating Kiwi All-Cause Mortality Stats Don't Lie, Pf-LIE-zer's Bourla does

Passing on some important red pill statistical information from a New Zealand source.  This source was an employee of the Ministry of Health. A statistician named Barry Young. He looked at batch data including a total vaccinated and total deaths and was able to conclude statistically what a lot of us knew already. Particularly listeners of The Scales of Truth. "Statistically, what we're saying, is that there is no chance that this vaccine is not a killer." Of course for bothering to pay attention to reality this hero is being jailed by a country that supposedly has something resembling Western ideals. I include the audio of him explaining, and also give the numbers for all ten batches, but here are some highlights:Taking the top ten batches, via internal batch ID, as to high mortality rate, looked at total number vaccinated, and total dead.For one batch, out of 711 vaccinated, 152 are dead. So 21% "all-cause mortality rate" if you don't want to just use the near-obvious conclusion as a label. He has checked to ensure that these batches are not concentrated among a certain age group - all are diverse enough to represent "all ages"The normal all-cause mortality rate (so this must be figuring just average population, how many would die from point in time A to point in time B): only 0.75%. Therefore, that batch is TWENTY-EIGHT times as high.  Yes, far end of bell curves are significantly different than the mean in nature, but not this far different. Once a studied mortality was even TWICE as high, if you were looking at a good number of people (and 711 samples is probably decent for that), you should start to wonder what happened as opposed to thinking it was normal.  Once it got to three or four times the mean, you now KNOW something happened, and need to get on with what it could be.  Every multiple thereafter is a non-linear relationship. For instance, if you have a sample that is six times the deaths as the mean, it is not merely only another 20% less likely than a sample that is five times. It is something like only 5% as likely (or less).  Now get to TWENTY-EIGHT TIMES the deaths for all-cause mortality. The likelihood of it being "regular" and not the result of some new massive toxicity being introduced is only a likelihood that statistically exists. By this statisticians calculations (and, this is the very math that is used for ANY scientific journal article as to statistical significance, so it would be very easily confirmed), "the chances of these batches not being a killer are 100 billion to one." Other batches ( I didn't capture all details for all):2. 17.19% dead (38/221); 3. 15.5% dead (48/310); 4. 10.2% dead (37/364); 5. 10.0% dead (101/1006); 6. 9.63% dead; 7. 7.9% dead (3/38);  8. 4.7% dead;  9. 4.57% dead (831/18173);  10. 4.52% dead of about 11000As to the person bothering to analyze via his statistician skills then being ARRESTED for doing so, Australia and New Zealand have truly lost their way in the last several decades. Their leaders long ago took up the mantle of collectivist tyranny and this is just the latest. Love our people down there but it is lost. At least these heroes are speaking up anyway. In any batch of people there are stubborn heroes driven to tell the truth no matter what. In this case Barry Young is one.=========================================Thanks for listening! Please feel free to email me at [email protected] with requests for appearances, thoughts, feedback, questions, observations, or show ideas! Please like my episodes and follow my show if that is what feels right to you!