Great article, Rebekah. Thankyou. One more reason, which IMO is absolutely critical to understanding how the whole debacle got such a head of steam: the time-shifting (or miscategorisation) of vaccination status. Failing to re-categorised a recently jabbed person as jabbed until 14 days afterwards creates a truly massive statistical misrepresentation when the jab rate is in the same ballpark (or higher) than the case/hospitalisation/death rate from/with the illness the jab is intended to mitigate.
This statistical malpractice is mathematically guaranteed to produce results that look positive for the jab, even if it has zero actual benefit.
And roll it out fast enough they did. And so the inevitable spike in harms to recently jabbed individuals (which were officially classified as "unvaccinated") spiked. Cue all the talking heads: "this is a pandemic of the unvaccinated!!!!!"
The statistical errors of delayed classification are well known, and it is incumbent on the people responsible for analytical procedures to be aware of this pitfall. Therefore, this is statistical fraud. It is fraud on a global scale.
You could add a whole raft more reasons why the data is unreliable - most data is unreliable. In 30 years of analysing data, the only 'data' that was mostly valid/reliable/whole/clean/appropriately defined etc etc etc is financial data. ALL other data is unreliable. Add to it that how data is handled and reported also skews understanding it so that, by the time the data is 'out there', it's pretty much just rubbish and being used to drive one agenda or another.
Only for 30 years in government settings. I also developed and designed datasets, data collection methodologies, how to triangulate data, the design of profiling, oh - mainly in regards to human behaviour - such as what feeds government 'nudge' units for social control.
Have you looked into any reports from U.S. insurance companies? Their data is probably the best since they’d know dates of vaccination and dates of subsequent diagnoses/deaths. The public health statistics here are garbage.
11. The people responsible for investigating the excess deaths are truly and sincerely stupid. They are incompetent and inept puppets and have only been put there because they are compliant and corrupt. Therefore even they wanted to investigate the deaths, they wouldn’t know what to do.
The people responsible for mandating the jabs are even worse than those investigating them. They were warned about what the harms would be and they chose to disregard the warnings and to put their faith in the pseudo-science espoused by their cult of coerced mass vaccination salvation hysteria.
What crime have they committed and what should be the penalty?
Under the law in some US jurisdictions, murder includes killings that result from reckless disregard to life. That could be 2nd degree murder in California and 3rd degree murder in Minnesota.
10b. [Other context than Australia] The technical pathway for doctors to access the official system to report injuries is made extremely complicated and time-consuming: doctor on phone raising voice at tech support: "Do you do this intentionally? Do you think we have time to struggle with this for hours? This will result in people not reporting!"
12. Even the things that do get reported are secretly edited and erased.
10b: direct observation but I can't comment further; 12: Several other Substack writers track the VAERS entries and have written about large quantities disappearing or being revised / downgraded; there was also the story of Canadian hospitals erasing patient data.
'Unreliability' of data is the ONLY reliable variable here.
The RT-PCR / lateral flow nonsense, the corrupt efficacy studies, approvals and waivers, the death with/from mis-attribution nonsense, the dissolution of formal controls, black box invalid modeling of 'effectiveness', the double standard of consent-ultralite coercion and mandates and the employment of aggressive psy-ops, versus officially entrenched denialism of adverse events, the obviously absence of safety and the complete ineffectiveness of the jabs (see NNV and absolute risk reduction).
This is a truly evil farce. The utter degradation and accelerating fall of humanity continues, unfettered and unabated.
Such was The Terror throughout the Soviet Union bureaucracy that everyone, from the lowest to highest bureaucrat "massaged the data" to avoid being Gulaged...A Planned Economy relies on accurate data...The massaged data was the Spanner in The Works that eventually brought the Soviet Union undone...
Unreliable statistics are Big Pharma's Best Friend...
Here's an example of how vast amounts of data are potentially being lost: patients with pre-existing condition.
If a healthy teen suddenly comes down with something, that's pretty clear.
But when someone with a chronic condition, or an older person in the hospital for some other diagnosed reason has patterns of vax injury, that damage is investigated within the context of the pre-existing diagnosis. It is not politically correct to voice the differential diagnosis, 'Could this patient's low blood values be attributed to the vax, since all of the other patients this year also have low blood values?' Rather, the patient will be given the standard work-up, and eventually the description of their already-existing diagnosis includes that they have low blood values -- gosh, we hope they go up, but on repeated checks they don't...
Neurology department example: neurological conditions are often chronic, requiring ongoing repeat visits. Known patients come into the hospital reporting sudden loss-of-continence: a severe impairment for leading a dignified adult life, right? Not fun for family care-givers either.
Well, these patients have a pre-existing condition, so their sudden incontinence will be interpreted as a bad-news exacerbation of their MS or Parkinson's or whatever, and the already established treatment will be continued or perhaps strengthened a bit. Spinal taps with fluid collection are standard, but it is not standard to check Albumin Quotient if a patient already has their diagnosis. If that single little check-box on the lab order form were marked, just in case, it might reveal that this poor person is indeed experiencing a vax-related GBS-like immune attack on the nerves innervating continence. At which point, a heavy course of medication would be started and that person would have a chance of stopping the nerve immune attack and therefore resuming dignified adult life without diapers. That injury could then be reported to the vax surveillance systems.
That, however, is not happening. Therefore nobody is aware of whether these sudden changes are vax-related in people who have the bad luck of having a pre-existing diagnosis --- precisely those people who are more vulnerable to this type of reaction to begin with, and also those people who would provide a rich source of data because they already have a track record in the hospital.
So the data set that we have in vax surveillance likely misses out on huge chunks of data from people with a pre-existing condition.
The TGA are unlikely to find what they are not looking for. I'd like to see them attempt a replication in Australia of the Florida Health study that showed a > 800% increase in cardiac-related deaths in males aged < 40yo within 28 days of mRNA vaccination and would like to see some proper autopsies done.
"Never believe anything until it has been officially denied." - Otto Von Bismarck
🎯
Great article, Rebekah. Thankyou. One more reason, which IMO is absolutely critical to understanding how the whole debacle got such a head of steam: the time-shifting (or miscategorisation) of vaccination status. Failing to re-categorised a recently jabbed person as jabbed until 14 days afterwards creates a truly massive statistical misrepresentation when the jab rate is in the same ballpark (or higher) than the case/hospitalisation/death rate from/with the illness the jab is intended to mitigate.
This statistical malpractice is mathematically guaranteed to produce results that look positive for the jab, even if it has zero actual benefit.
And roll it out fast enough they did. And so the inevitable spike in harms to recently jabbed individuals (which were officially classified as "unvaccinated") spiked. Cue all the talking heads: "this is a pandemic of the unvaccinated!!!!!"
The statistical errors of delayed classification are well known, and it is incumbent on the people responsible for analytical procedures to be aware of this pitfall. Therefore, this is statistical fraud. It is fraud on a global scale.
You could add a whole raft more reasons why the data is unreliable - most data is unreliable. In 30 years of analysing data, the only 'data' that was mostly valid/reliable/whole/clean/appropriately defined etc etc etc is financial data. ALL other data is unreliable. Add to it that how data is handled and reported also skews understanding it so that, by the time the data is 'out there', it's pretty much just rubbish and being used to drive one agenda or another.
Hence the saying ‘lies damned lies and statistics’ I suppose! You analysed data?
Only for 30 years in government settings. I also developed and designed datasets, data collection methodologies, how to triangulate data, the design of profiling, oh - mainly in regards to human behaviour - such as what feeds government 'nudge' units for social control.
That's super interesting. I'd love to talk. Would you be up for email/call? Are you in Australia?
yes and yes
Have you looked into any reports from U.S. insurance companies? Their data is probably the best since they’d know dates of vaccination and dates of subsequent diagnoses/deaths. The public health statistics here are garbage.
I have not personally but I get what you're saying.
11. The people responsible for investigating the excess deaths are truly and sincerely stupid. They are incompetent and inept puppets and have only been put there because they are compliant and corrupt. Therefore even they wanted to investigate the deaths, they wouldn’t know what to do.
The people responsible for mandating the jabs are even worse than those investigating them. They were warned about what the harms would be and they chose to disregard the warnings and to put their faith in the pseudo-science espoused by their cult of coerced mass vaccination salvation hysteria.
What crime have they committed and what should be the penalty?
Under the law in some US jurisdictions, murder includes killings that result from reckless disregard to life. That could be 2nd degree murder in California and 3rd degree murder in Minnesota.
10b. [Other context than Australia] The technical pathway for doctors to access the official system to report injuries is made extremely complicated and time-consuming: doctor on phone raising voice at tech support: "Do you do this intentionally? Do you think we have time to struggle with this for hours? This will result in people not reporting!"
12. Even the things that do get reported are secretly edited and erased.
Have you seen evidence of either of these practices?
10b: direct observation but I can't comment further; 12: Several other Substack writers track the VAERS entries and have written about large quantities disappearing or being revised / downgraded; there was also the story of Canadian hospitals erasing patient data.
'Unreliability' of data is the ONLY reliable variable here.
The RT-PCR / lateral flow nonsense, the corrupt efficacy studies, approvals and waivers, the death with/from mis-attribution nonsense, the dissolution of formal controls, black box invalid modeling of 'effectiveness', the double standard of consent-ultralite coercion and mandates and the employment of aggressive psy-ops, versus officially entrenched denialism of adverse events, the obviously absence of safety and the complete ineffectiveness of the jabs (see NNV and absolute risk reduction).
This is a truly evil farce. The utter degradation and accelerating fall of humanity continues, unfettered and unabated.
Such was The Terror throughout the Soviet Union bureaucracy that everyone, from the lowest to highest bureaucrat "massaged the data" to avoid being Gulaged...A Planned Economy relies on accurate data...The massaged data was the Spanner in The Works that eventually brought the Soviet Union undone...
Unreliable statistics are Big Pharma's Best Friend...
Here's an example of how vast amounts of data are potentially being lost: patients with pre-existing condition.
If a healthy teen suddenly comes down with something, that's pretty clear.
But when someone with a chronic condition, or an older person in the hospital for some other diagnosed reason has patterns of vax injury, that damage is investigated within the context of the pre-existing diagnosis. It is not politically correct to voice the differential diagnosis, 'Could this patient's low blood values be attributed to the vax, since all of the other patients this year also have low blood values?' Rather, the patient will be given the standard work-up, and eventually the description of their already-existing diagnosis includes that they have low blood values -- gosh, we hope they go up, but on repeated checks they don't...
Neurology department example: neurological conditions are often chronic, requiring ongoing repeat visits. Known patients come into the hospital reporting sudden loss-of-continence: a severe impairment for leading a dignified adult life, right? Not fun for family care-givers either.
Well, these patients have a pre-existing condition, so their sudden incontinence will be interpreted as a bad-news exacerbation of their MS or Parkinson's or whatever, and the already established treatment will be continued or perhaps strengthened a bit. Spinal taps with fluid collection are standard, but it is not standard to check Albumin Quotient if a patient already has their diagnosis. If that single little check-box on the lab order form were marked, just in case, it might reveal that this poor person is indeed experiencing a vax-related GBS-like immune attack on the nerves innervating continence. At which point, a heavy course of medication would be started and that person would have a chance of stopping the nerve immune attack and therefore resuming dignified adult life without diapers. That injury could then be reported to the vax surveillance systems.
That, however, is not happening. Therefore nobody is aware of whether these sudden changes are vax-related in people who have the bad luck of having a pre-existing diagnosis --- precisely those people who are more vulnerable to this type of reaction to begin with, and also those people who would provide a rich source of data because they already have a track record in the hospital.
So the data set that we have in vax surveillance likely misses out on huge chunks of data from people with a pre-existing condition.
yes and yes
Take a look at 2022 excess DEATH data in New Zealand. Range in a week in August 2020 compared with August 2022 .... 334 deaths
"NZ Excess Death ~ Nothing, And In The Dark... except the State sponsored chirping crickets."
https://drlatusdextro.substack.com/
How did she and the workng group exonerate the vaccine. The onus is on them to prove that the vaccine is not responsible for the excess deaths.
Actuaries go by the official data and the official data shows only 14 vaccine deaths.
The TGA are unlikely to find what they are not looking for. I'd like to see them attempt a replication in Australia of the Florida Health study that showed a > 800% increase in cardiac-related deaths in males aged < 40yo within 28 days of mRNA vaccination and would like to see some proper autopsies done.
Great report.
Perhaps the government think it's the new disease, EBV. EBV has struck the nation since 2021.
Everything But the Vaccine.