Here are Ontario’s official covid stats:
https://covid-19.ontario.ca/data/case-numbers-and-spread
Scroll to the “Covid 19 cases by vaccination” chart. There you will see that the vaccinated in Ontario are getting infected at a higher rate than unvaccinated in the last few weeks.
Now go to Ontario’s science table’s covid 19 cases chart on this page:
https://covid19-sciencetable.ca/ontario-dashboard/
Ontario science table shows that unvaccinated are getting infected at a higher rate. Misrepresenting stats? Why?
Governments tend to be extraordinarily bad at running websites, but in this case there's a clear motive: "To mitigate vaccine hesitancy".
It's already established practice everywhere from silicon valley, to the news networks, to the halls of government to suppress truth if it's detrimental to securing the public's obedience.
The Ontario Science Table is spreading covid misinformation. These are the people that Justin Trudeau warned us about. Ontario science table is far-right according to Trudeau.
Ah the gov.
Stats brought to you by the same people who said income taxes were temporary, tea tax is good for you and saddam has WMD.
here are the charts side-by-side
The top graph is simple numbers. It shows more vaccinated people infected than unvaccinated on January 5 2020 because there are way more vaccinated people (something like 80%, I think) than unvaccinated (something like 10 or 15 %). There will be more vaccinated people infected because Omicron spreads so well and there are so many more vaccinated people.
The bottom graph shows proportions: how many infections per million. There were 1,601 new cases per million in unvaccinated people on January 5 2020, and 1,292 new cases per million in vaccinated people.
There is no conflict. They are two different ways of expressing the daily numbers.
It's worth pointing out that daily case counts are no longer as accurate as they have been in the past because the case counting mechanisms have been overwhelmed by the speed of Omicron's spread. The impact on hospitals is a more accurate indicator of the severity now. That's why the two graphs on the right in the image below are more important.
https://covid19-sciencetable.ca/wp-content/uploads/2022/01/2022-01-05-Current-COVID-19-Risk-in-Ontario-by-Vaccination-Status-Separate-Charts-1024x317.png
Proportions? You can toggle between cases and cases per 100,000 in Ontario’s official stats. Both paint the same picture. Ontario’s science table’s numbers are misrepresented either way.
here’s the chart comparison for you
I'm sorry you can't see the difference between a count and a rate.
The chart comparison is comparing the same thing. I'm sorry for the dissonance going on in your brain right now.
By all means, though... Tell me the difference between rate per 100,000 and cases per 1 million. I'd like to see how someone going through a case of cognitive dissonance explains this.
One is a count, the other is a rate. They tell different stories. They don't contradict each other.
Count per…
Cases per…
Now explain how these two will come to a different rate on a chart.
FYi… i know you can’t explain this. It’s the same thing. Hence, the cognitive dissonance.
You may have read most of this before. If you can't understand it we could talk about it.
If you have 10 jelly beans and 3 of them are red, and your friend has 100 jelly beans and 6 of them are red, then more of your jelly beans are red than his. Proportionally 30% of yours are red and only 6% of your friend's are.
The count: you have 3 red jelly beans and your friend has 6. He has more jelly beans.
The rate: 30% of your jelly beans are red, while only 6% of your friend's are red. You have a higher rate of red jelly beans.
Same with the covid numbers. The percentage of unvaxxed people in the hospital and ICU is way higher than the percentage of vaxxed people.
Please edit that, for clarity.
It’s been edited