Over in this article by Alex Berenson, it states that the large number of deaths that occurred within two weeks of the second dose.
Of course, it is just possible the extra deaths are due to chance.Actually, no. Not by chance. I opened the study and there is a category which includes deaths of unknown week. I guess it is the bodies they find in the frozen mountains. There is a week "53" which should only be 1 day but the number is similar to the other weeks. Whether you include the 53rd week or not, the distribution is close to normal. With 100% of the weekly deaths being within three standard deviations, which in a perfect normal distribution is 99.7%, and 96% within two standard deviation, which should be 95%, and finally 69% percent within 1 standard deviation (which is in a perfect normal distribution should be 68%). This is a normal distribution. If we get so many deaths out of 4 million guinea pigs, we should expect 2.5 times as you did mention in the article the amount had the whole population submitted to the experiment. Divide this by two in order to get the weekly deaths, that we would have seen. This number is a full eleven standard deviations higher than the mean. So the probability of this occurring by chance is so small, you will have to either accept there is something going on here or throw away most of modern science.
https://online.stat.psu.edu/stat100/lesson/4/4.2
const deaths = [ 1_822, 1_891, 1_831, 1_730, 1_848, 1_728, 1_824, 1_777, 1_778,
1_826, 1_730, 1_865, 2_040, 2_383, 2_569, 2_525, 2_269, 2_239, 2_182, 1_989,
1_918, 1_656, 1_751, 1_721, 1_670, 1_674, 1_565, 1_571, 1_513, 1_540, 1_547,
1_571, 1_517, 1_578, 1_486, 1_517, 1_527, 1_513, 1_563, 1_547, 1_543, 1_612,
1_570, 1_691, 1_673, 1_868, 1_989, 1_959, 2_148, 2_117, 2_299, 2_316, ];
const stddev = 285.054629465632;
const average = 1818.76923076923;
let stdev1cnt = 0;
let stdev2cnt = 0;
let stdev3cnt = 0;
for (const d of deaths) {
if (average - 3*stddev < d && d < average + 3*stddev) {
stdev3cnt ++;
if (average - 2*stddev < d && d < average + 2*stddev) {
stdev2cnt++;
if (average - stddev < d && d < average + stddev) {
stdev1cnt++;
}
}
}
}
console.log("std-dev 3", stdev3cnt/52);
console.log("std-dev 2", stdev2cnt/52);
console.log("std-dev 1", stdev1cnt/52);
const excess_deaths_first_two_weeks = 3_939;
const excess_deaths_first_two_weeks_had_it_been_the_whole_population = 10.6/4.03*excess_deaths_first_two_weeks;
const average_adjusted_deaths_per_week = excess_deaths_first_two_weeks_had_it_been_the_whole_population / 2;
console.log("", (average_adjusted_deaths_per_week - average)/stddev);
References
Upvoted!
And hey this is @truthforce writing, would you be able to help me with the same thing you helped me with last year for downloading the Hive transactions once the 2021 year is over?
Thanks :)
Sure.
Ok, I will reach out to you sometime in January. Thanks!
It's not about health anymore. I regret taking the two first pfizer jabs. Not taking anymore tho. F*ck this new paradigm and the new normal (a.k.a N.W.O).
The paper also mentions that the effectiveness of the vaccine wears off overtime and the data indicates that your immunity to COVID will be less than those who were never vaccinated if you don't get boosters by 200 days after the last dose. It's a difficult situation. Do 0.1% of the people who get the third dosis die as in the second dosis situation? Will your natural immunity recover after the eight months?
Exactly. This is poison. Good thing that in this social network we can talk about it without being cancelled. Truth is that the pandemic is not ending anytime soon... Much better to keep exercising and getting healthy food, and staying away from the mainstream news