Tom's Blog on Life

Six children in the eastern DRC provinces of Tanganyika and South Kivu were discovered to have circulating vaccine-derived type 2 poliovirus. Unlike wild poliovirus, circulating poliovirus type 2 causes infections when a weakened strain of the poliovirus present in the oral polio vaccination spreads among under-immunized populations over an extended length of time.

(Tom: I recall Ringo Starr said, “Everything government touches turns to crap.” Apparently the government do not have a monopoly on that ability.)

https://greatgameindia.com/bill-gates-vaccine-causes-polio-outbreak-in-burundi-and-congo/

A sobering presentation on the excess deaths in all countries covered.

Can you trust reporting on the Covid vaccine by media outlets paid by the government to promote the vaccine?

Dr Robert Malone prefaces the article:

In this essay, Rav Arora has done a great job of documenting the corruption of corporate media by the morally and financially bankrupt USG HHS COVID “vaccine” surreptitious marketing campaign.

When a government feels that it is acceptable to deploy modern PsyOps technology on its citizens, then the whole concept of elections as a check on tyranny becomes both irrelevant and obsolete.

And if they are willing to do this to promote an injectable medical product which has proven neither safe nor effective, what will stop them from doing similar for whatever is politically expedient at the moment.

When will we learn to just say “no”?

Texas Attorney General Ken Paxton on Nov. 30 sued Pfizer, alleging the company misrepresented how efficacious its COVID-19 vaccine was.

“We are pursuing justice for the people of Texas, many of whom were coerced by tyrannical vaccine mandates to take a defective product sold by lies,” Mr. Paxton, a Republican, said in a statement. “The facts are clear. Pfizer did not tell the truth about their COVID-19 vaccines.”

Pfizer did not immediately respond to a request for comment.

The trial was aimed at determining how many participants contracted COVID-19 with symptoms after receiving a vaccine, not COVID-19 overall.

https://www.theepochtimes.com/article/texas-sues-pfizer-for-allegedly-misrepresenting-efficacy-of-covid-19-vaccine-5539112

A disturbing new study has revealed that fatal cancer rates are exploding among Covid mRNA vaccinated teenagers and young people.

A report quietly published by the UK Government department known as the Office for National Statistics (ONS).

The official government data shockingly reveals people aged 18 to 49 who have received four doses of the COVID-19 vaccine are up to 318% more likely to die of any cause than unvaccinated people aged 18 to 49.

This means we have found the cause of excess deaths being so high across the West and young people dying of cancer across the UK at an explosive rate.

The ONS dataset, available on the ONS website here, details deaths by vaccination status from April 1, 2021, to May 31, 2023.

Our analysis focused on mortality rates per 100,000 person-years from January to May 2023 among residents in England aged 18 to 39 and 40 to 49, and what we found is truly shocking.

Initial observations of the data prove that individuals aged 18 to 39 who had received four doses of a COVID-19 vaccine exhibited higher mortality rates compared to their unvaccinated counterparts.

For more data and graphs:

https://newsaddicts.com/covid-vaccinated-teens-4-times-more-likely-die-cancer-unvaxxed/

In a revealing interview with Liz Gunn, a New Zealand government data administrator identified as Winston Smith has come forward with startling claims regarding the consequences of the COVID-19 vaccine rollout in New Zealand.

Winston Smith emphasizes that he is not an anti-vaxxer. He clarifies that he has been vaccinated in the past and has even contributed to building the COVID vaccination system in New Zealand, which gave him access to the data , making it clear that his stance is not born from opposition to vaccines on principle.

Winston findings on the mortality rates associated with various COVID-19 vaccine batches present a very concerning picture, suggesting a correlation that seems highly improbable to occur by chance alone. For instance, looking at the top ten batches with the highest mortality rate, he found the following:

For batch 1, out of 711 vaccinated individuals, 152 fatalities were reported, indicating a staggering 21% mortality rate

Batch 8, with a 17% mortality rate,

Batch 3 with 15% mortality rage .

Even among larger sample sizes, such as batch number 70 that vaccinated 111,000 individuals, there were 498 deaths accounted for, representing a 4% mortality rate.

Such numbers vastly exceed the expected mortality rates which is 0.75% and with Smith’s meticulous approach and diverse age distribution consideration, the suggestion that these outcomes are mathematically bordering on impossible becomes difficult to ignore.

Winston also illustrated the data from the perspective of the vaccinators. The most extreme case presented by Smith – labeled simply as “Vaccinator One” – paints a grim picture: out of 246 vaccinations administered by “Vaccinator One”, there had been 60 deaths, marking nearly a 25% mortality rate. Again, this figure dwarfs the expected mortality rate of 0.75%. When examining further, this pattern seemed to persist across profiles; another vaccinator had seen nearly 17% mortality, with 104 deaths out of 621 vaccinations given.

The data unequivocally suggests that there is a statistically significant correlation between specific vaccine batches and the subsequent mortality rates observed. It would be mathematically implausible to attribute these high rates of death following vaccination to random chance alone, thereby implicating the batches as a significant factor in the increased mortality.

https://open.substack.com/pub/pharmafiles/p/new-zealand-government-data-administrator