VAERS = Vaccine Adverse Events Reporting System1“… put in place in 1990. It is a voluntary reporting system that has been estimated to account for only 1% (read more about underreporting in VAERS) of vaccine injuries. OpenVAERS is built from the HHS data available for download at vaers.hhs.gov” OpenVAERS.com | AE = Adverse Events
Using a single keyword: ‘sudden’, I was able to pull out 13,752 adverse event reports and of these, 2,052 died.
80% of the individuals who submitted reports of sudden adverse events had no current illnesses at the time of their injection. 77% of individuals who died with an associated sudden onset adverse event had no current illnesses at the time of injection. In some cases, it was actually noted that the person was as healthy as a horse at the time of injection…
The timeframes between injection and adverse events look like this:
And for the subset of people of died:
…
The most reported adverse event associated with ‘sudden’ … is Arthralgia (joint pain) and for death, is Sudden death… interesting that in the top 10 in general, Sudden hearing loss comes up and Dizziness as well…
Dec 2, 2022: You will ‘rent’ everything and be happy!
… do you want the government dictating every aspect of your life?
… Net zero is not about saving the planet. Net zero is about taking control of the food and the energy. And finding a way to turn that into a currency…
… It cannot happen without digital ID. Digital ID is the last gate that we can rebel at…
… mid-way through [he] revealed that a whistleblower from a very reliable source had told him that the British Heart Foundation (BHF) had data which was being covered up. According to Mr. Bridgen, the BHF are covering up information about mRNA vaccines causing heart inflammation. They are doing this through fear of losing funding from the pharmaceutical industry. So much so that a prominent leader within the organisation has sent out non-disclosure agreements to his research team preventing them from speaking out.1Nothing says “trust the science” quite like hiding the data! (Sarcasm).
Dr Faan Oosthuizen, a veteran GP, distressed by C19 injection injuries he is seeing, sent his notice letter, with the timeframe for the minister to respond being today, 14 December 2022. It is unlikely that the [health] minister… will do anything to protect the health and lives of our children.
If there is no cease and desist, based on the injuries conscientious health care workers see, and reports to the independent adverse effects reporting system SA VAERS show – a committed group, including Dr Oosthuizen, Dr EV Rapiti, scientist Fahrie Hassan, I, lawyer Riekie Erasmus and Advocate Sabelo Sibanda and others, will launch an urgent application to defend the health, lives and rights of South African residents…
The letter to the health minister Dr Joe Phaahla reads… [click here]
I must highlight that the under reporting factor (URF) in a country with South Africa’s socio-economic conditions will be far higher than other countries. In other words, adverse effects reports must be multiplied by a factor of far higher than 31 (average URF calculated by Dr Jessica Rose).
The [‘Canaadian crash study’] authors are not mincing words: they found that UNvaccinated people are MORE likely to have car crashes. Based on this statistical finding, they urge people to vaccinate to avoid car crashes!
But…
Guess who is more likely to get into a car crash? That’s right, the person who drives to work daily, as opposed to a remote worker.
And…
The Unvaccinated Could not Take Trains or Fly in Canada
So they had to drive more.
Oh, one more thing…
Turns out that people over 65, who do NOT drive to work, are the ONLY group where vaccination leads to a slightly higher chance of car crashes for the vaccinated (without reaching statistical significance).
This outcome is the OPPOSITE of what happened to employed people:
So we can see that the conclusion that “unvaccinated people are more likely to be hurt in crashes” is explained by the fact that “essential workers” who drive to work were the ones choosing not to get vaccinated!
So… It is not the COVID vaccine that reduces the chances of having a crash. It is a fact that staying home with warm coffee and a laptop is safer than commuting to work or driving a truck. The effect does NOT exist in old people who do not work.
[Vaccinate or Mask (VOM)]… policies force nurses and other health-care workers to wear an unfitted surgical mask for the entirety of their shift if they choose not to receive the influenza vaccine.
After reviewing extensive expert evidence… Arbitrator William Kaplan, in his September 6 decision, found that St. Michael’s VOM policy is “illogical and makes no sense” and “is the exact opposite of being reasonable.” In reaching this conclusion, Arbitrator Kaplan rejected the hospital’s evidence. A copy of the full decision is available here…
This is the second such win for ONA.1Ontario Nurses Association In 2015, Arbitrator James Hayes struck down the same type of policy in an arbitration that included other Ontario hospitals … Hayes found there was “scant evidence” that forcing nurses to use masks reduced the transmission of influenza to patients. Despite this clear ruling, the majority of TAHSN hospitals refused to follow the Hayes award and maintained their respective VOM policies. As a result, ONA was forced to litigate this matter again at St. Michael’s Hospital.
Most journalists never look outside of the mainstream bubble for information, and they also tend to repeat what they are told by authority.
But they also don’t have time to do any digging or investigating.
It’s a recipe for disaster when it comes to holding authority to account, and has led to a big drop in public trust in the legacy media.
A version of reality has been created by the legacy news that is so far from the truth that it has become impossible for those who believe that reality to break free.
To do so would be too traumatic, and therefore—subconsciously or otherwise—journalists who create and believe in this false reality do all they can to protect it.
Smalley linked to the original site. I’d prefer not give them clicks. So if you’re ready to read the next phase of the menticide,1New to you? Here’s an intro. Suggested recovery programme here. here’s an archive version.
Mike Yeadon explains it’s impossible.
Especially the bit about the children.
They’re at it again. Planning a FAKE pandemic. Enabled by untrustworthy PCR.
A few remarks:
1. It’s FAKE. It’s immunologically impossible to have a pandemic of a severe respiratory illness. If you accept the disease model they’re using, then the more severe the illness, the more quickly the infected person, if they’re susceptible, becomes symptomatic. It’s only then that the person might transmit to other susceptible person, but by then, they’re sick & at home. Not mixing with others. Chain terminated. Drops R nought.2“R” is the statistical ‘rate of spread’.. R=1 means 1 person infects 1 person who infects 1 person etc. If R=2 then 1 person infects 2 who infect 2 more etc. R=0 means no spread.
By contrast, common cold type illnesses can whizz around the world & nobody cares.
Which in part explains why we’ve never had a pandemic of a severe respiratory illness.
Covid was faked at worst (my opinion, supported by the deaths epidemiology) & at very least exaggerated.
The 1918-19 “Spanish Flu” was also grossly exaggerated. The numbers who perished were far fewer than are now claimed. Contemporaneous documents just a few years later don’t even mention it. Not consistent with “the worst pandemic since medieval times”.
2. I know of no conceivable respiratory pathogen that preferentially makes “young people” ill, not the frail elderly. Sure, there are some illnesses that are particularly cruel on tiny babies and frail tots. Young adults are like cockroaches where it comes to respiratory illnesses. I don’t believe the frail elderly could be spared & there are ALWAYS way more frail in the elderly population than in the young & fit (immunocompetent) population.
“R” is the statistical ‘rate of spread’.. R=1 means 1 person infects 1 person who infects 1 person etc. If R=2 then 1 person infects 2 who infect 2 more etc. R=0 means no spread.
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