Heh heh. Brilliant. This has all been obvious to the naked eye for a year but the more complete data and regressions prove it beyond a shadow of a doubt.
Jan 29, 2022·edited Jan 29, 2022Liked by Joel Smalley
I lived in Ireland in a rural community over this period. On the ground, health care workers who were vaccinated would have been a vector of transmission to those frail with multiple co-morbidities. This is well discussed in the UK care homes debacle https://www.spiked-online.com/podcast-episode/why-i-spoke-out-against-lockdown/. The UK shares a land border with Ireland. I was living in a border county. The UK had a considerable head start on its vaccination campaign and vaccinees were being publicly advised by the government that they did not transmit the virus. So another vector of transmission was cross-border traffic. Local media convinced the public that outbreaks followed football crowds. At the time the Irish government were locking down the Irish public to a 5km radius they still had not placed any restrictions on international flights. If there is ever a public enquiry the human behaviours that underpin the data will show that the most frail in our communities were first to be sacrificed at the hands of those whom believed they had an invisible shield against transmission. A significant vector of transmission at the time was remote working. Remote working enabled large numbers of urban and suburban work force to relocate to rural areas. Most of these were from Dublin but a significant number were from the UK and America. So over seasonal holiday periods there would have been significant long distance commuting. However it is clear that in November 2021 https://news.sky.com/story/covid-19-irelands-co-waterford-has-one-of-the-highest-vaccination-rates-in-the-world-so-why-are-cases-surging-12461642. The Irish authorities were floating the idea that lock downs were a vector of transmission while at the same time the Irish public were wakening up to the unthinkable. It was possible to transmit the virus even if you were vaccinated.
I work in radar signal processing. Nobody in my field says "correlation is not causation" when the signal matches a weather front, for example. Sure, we've seen it over and over. But now you see it over and over. We don't use p-values, but p=.000001 would seem large for a meta analysis of your waves.
Can anybody provide another cause of death? Thought not.
Wonderful article. I wonder if Joel Smiley could next maybe look at how the Alberta numbers would shift in common metrics life cases, hospitalization and death per 100,000 if we move the definition of vaccination back to the original meaning of the moment plunger pushed chemicals into your arm, you're vaccinated as Alberta's health numbers briefly showed 56 percent of all deaths from covid 19 occurred with 14 days of immunization. So if you took the unvaccinated category and shift 56 percent of the deaths to the vaccinated group, since they had the dose in them... How bad would they look?
I know it's too much to expect that one of the first cohorts to receive a novel drug would be tracked, but do they give initial healthcare professional only infection rates for that period when vaccines were released?
Nice of you to absorb feedback, no matter the tone of voice in which it is nestled. I shared your Substack with Ivor Commins in Ireland. You may know him, if not check him out on Twitter: https://twitter.com/FatEmperor
Question: could the wave be driving the increase in vaccination? Basically, people see the reports that Covid cases are increasing, public health is pushing the shot and making it easy to get, so the “hesitant” decide to get the shot out of fear increasing the numbers vaccinated? Just trying to understand all aspects.
It shows an really unusual spike in hospital admissions in Ontario in the Spring of '21 that coincides exactly with the initial vaccine rollout, which can be seen here:
Not sure what else would explain such a huge increase over all other increases during the 'Covid era'. Perhaps not so much an impact on healthcare workers but rather on the more vulnerable among the elderly? This spike was explained as our '3rd wave' of Covid, but might be better understood as the injected 'unvaccinated' filling hospitals.
People basically died because they were not proper medical care - therapeutics that are known to work. Instead they were told to stay home and wait and see. And they became very ill. Those unfortunate to go to the hospital then were given redemsevir and put on ventilators - a death sentence. They know that if they do this the patient has a 99% chance of dying, but they do it anyways.
Your analysis shows very positive correlations. I am glad you reported the coefficient of determination (r-squared). For the casual reader, correlation analysis assumes that all the observations are independent of each other.
My questions are what about Heteroscedasticity and residual plots?
Also, one of the most often comments about data analysis is that "CORRELATION DOES NOT MEAN CAUSATION."
How do you answer those that are skeptical of this analysis?
Exactly the kind of hard data we need. Thank you. This is how we show that the people behind the "vaccines" are running a scam. Decent, highly qualified Scientists demonstrating with correctly used statistical analyses. If only we could get the data - all of it and honestly presented (my hopes aren't high)- from the Pfizer Company on their "vaccine" trials from the beginning to this date.
Heh heh. Brilliant. This has all been obvious to the naked eye for a year but the more complete data and regressions prove it beyond a shadow of a doubt.
I lived in Ireland in a rural community over this period. On the ground, health care workers who were vaccinated would have been a vector of transmission to those frail with multiple co-morbidities. This is well discussed in the UK care homes debacle https://www.spiked-online.com/podcast-episode/why-i-spoke-out-against-lockdown/. The UK shares a land border with Ireland. I was living in a border county. The UK had a considerable head start on its vaccination campaign and vaccinees were being publicly advised by the government that they did not transmit the virus. So another vector of transmission was cross-border traffic. Local media convinced the public that outbreaks followed football crowds. At the time the Irish government were locking down the Irish public to a 5km radius they still had not placed any restrictions on international flights. If there is ever a public enquiry the human behaviours that underpin the data will show that the most frail in our communities were first to be sacrificed at the hands of those whom believed they had an invisible shield against transmission. A significant vector of transmission at the time was remote working. Remote working enabled large numbers of urban and suburban work force to relocate to rural areas. Most of these were from Dublin but a significant number were from the UK and America. So over seasonal holiday periods there would have been significant long distance commuting. However it is clear that in November 2021 https://news.sky.com/story/covid-19-irelands-co-waterford-has-one-of-the-highest-vaccination-rates-in-the-world-so-why-are-cases-surging-12461642. The Irish authorities were floating the idea that lock downs were a vector of transmission while at the same time the Irish public were wakening up to the unthinkable. It was possible to transmit the virus even if you were vaccinated.
I work in radar signal processing. Nobody in my field says "correlation is not causation" when the signal matches a weather front, for example. Sure, we've seen it over and over. But now you see it over and over. We don't use p-values, but p=.000001 would seem large for a meta analysis of your waves.
Can anybody provide another cause of death? Thought not.
Data rarely lies, its that we don’t want to see.
Wonderful article. I wonder if Joel Smiley could next maybe look at how the Alberta numbers would shift in common metrics life cases, hospitalization and death per 100,000 if we move the definition of vaccination back to the original meaning of the moment plunger pushed chemicals into your arm, you're vaccinated as Alberta's health numbers briefly showed 56 percent of all deaths from covid 19 occurred with 14 days of immunization. So if you took the unvaccinated category and shift 56 percent of the deaths to the vaccinated group, since they had the dose in them... How bad would they look?
I know it's too much to expect that one of the first cohorts to receive a novel drug would be tracked, but do they give initial healthcare professional only infection rates for that period when vaccines were released?
It certainly does boost! It seems insane that they keep trying to explain away this problem.
Great analysis! I don't know how anyone can argue otherwise!
https://nakedemperor.substack.com/
Thank you for this data and analysis. You are making a difference!
Nice of you to absorb feedback, no matter the tone of voice in which it is nestled. I shared your Substack with Ivor Commins in Ireland. You may know him, if not check him out on Twitter: https://twitter.com/FatEmperor
Freekin brilliant rebuttal n high-level analysis, Joel! "Let those who have eyes, see... "
Question: could the wave be driving the increase in vaccination? Basically, people see the reports that Covid cases are increasing, public health is pushing the shot and making it easy to get, so the “hesitant” decide to get the shot out of fear increasing the numbers vaccinated? Just trying to understand all aspects.
Joel, you might want to look at this site: https://www.kflaphi.ca/aces-pandemic-tracker/
It shows an really unusual spike in hospital admissions in Ontario in the Spring of '21 that coincides exactly with the initial vaccine rollout, which can be seen here:
https://health-infobase.canada.ca/covid-19/vaccination-coverage/
Not sure what else would explain such a huge increase over all other increases during the 'Covid era'. Perhaps not so much an impact on healthcare workers but rather on the more vulnerable among the elderly? This spike was explained as our '3rd wave' of Covid, but might be better understood as the injected 'unvaccinated' filling hospitals.
Keep up the great work!
People basically died because they were not proper medical care - therapeutics that are known to work. Instead they were told to stay home and wait and see. And they became very ill. Those unfortunate to go to the hospital then were given redemsevir and put on ventilators - a death sentence. They know that if they do this the patient has a 99% chance of dying, but they do it anyways.
Your analysis shows very positive correlations. I am glad you reported the coefficient of determination (r-squared). For the casual reader, correlation analysis assumes that all the observations are independent of each other.
My questions are what about Heteroscedasticity and residual plots?
Also, one of the most often comments about data analysis is that "CORRELATION DOES NOT MEAN CAUSATION."
How do you answer those that are skeptical of this analysis?
Exactly the kind of hard data we need. Thank you. This is how we show that the people behind the "vaccines" are running a scam. Decent, highly qualified Scientists demonstrating with correctly used statistical analyses. If only we could get the data - all of it and honestly presented (my hopes aren't high)- from the Pfizer Company on their "vaccine" trials from the beginning to this date.