First, you don't have enough links to back up the points you are trying to make.
Second, out of all the high school and university math teachers and students in Ontario, why are there no letters to the editor, no calls to phone-in shows? Why are there no articles by science journalists about this?
Because so far you are the only person who sees it this way - although I bet Ezra Levant would agree with you if you could catch his attention.
And it's a pointless argument anyway because it's based on case counts that aren't even remotely accurate any more now that Omicron has arrived.
To begin I repeat: Omicron has outstripped the ability to count cases, so any numbers on those two graphs are much less reliable in the last month or so. I believe you know this, but if not here are a few links: https://duckduckgo.com/?q=covid+case+count+uncertainty&t=h_&ia=web
On the left is a proportion, which says that on a per capita basis - proportionally, that is - over the last five months, there have been more cases counted among unvaccinated people than among those with two doses of vaccine.
On the right are case counts which show that at the peak - on one day around the end of last year - about 14,000 fully vaccinated people tested positive for covid and about 2,000 unvaccinated people tested positive. I don't have a link for historical data but at that time there were about 7 times as many vaccinated people as unvaccinated, so 14K to 2 K seems about right, since Omicron had arrived and it seemed to be racing through both the vaccinated and unvaccinated populations at about the same speed, although that was more of a guess because - as it seems necessary to keep repeating - Omicron outstripped the counting mechanisms.
So there's no conflict between your two graphs, shaky as they are due to the counting problem.
First, you don't have enough links to back up the points you are trying to make.
Second, out of all the high school and university math teachers and students in Ontario, why are there no letters to the editor, no calls to phone-in shows? Why are there no articles by science journalists about this?
Because so far you are the only person who sees it this way - although I bet Ezra Levant would agree with you if you could catch his attention.
And it's a pointless argument anyway because it's based on case counts that aren't even remotely accurate any more now that Omicron has arrived.
Oh but I do.
Try to consider how immature it is to mention Ezra Levant in an argument that has nothing to do with Ezra Levant.
When you know you've lost an argument, so you invoke the "but it's pointless" excuse.
You're the only one I know comparing a proportion to a count and saying they don't agree.
I’m only comparing a proportion to a count if you selectively hear only a portion of what i say, which i know you’re doing on purpose.
This is your link: https://imgur.com/a/qFOram3
To begin I repeat: Omicron has outstripped the ability to count cases, so any numbers on those two graphs are much less reliable in the last month or so. I believe you know this, but if not here are a few links: https://duckduckgo.com/?q=covid+case+count+uncertainty&t=h_&ia=web
On the left is a proportion, which says that on a per capita basis - proportionally, that is - over the last five months, there have been more cases counted among unvaccinated people than among those with two doses of vaccine.
On the right are case counts which show that at the peak - on one day around the end of last year - about 14,000 fully vaccinated people tested positive for covid and about 2,000 unvaccinated people tested positive. I don't have a link for historical data but at that time there were about 7 times as many vaccinated people as unvaccinated, so 14K to 2 K seems about right, since Omicron had arrived and it seemed to be racing through both the vaccinated and unvaccinated populations at about the same speed, although that was more of a guess because - as it seems necessary to keep repeating - Omicron outstripped the counting mechanisms.
So there's no conflict between your two graphs, shaky as they are due to the counting problem.