Earlier quoted context omitted.
Your biggest problem is that your data isn't accurate. The page notes that it's case count isn't necessarily correct. This page shows the total case delta at 650 for today versus yesterday: https://covid-19.ontario.ca/data/case-numbers-and-spread Whereas the spreadsheet from your page says 426. It's not even clear to me that the 650 number is accurate because not everyone may necessarily be reporting they have COVID.…
Not sure which spreadsheet you're talking about, the page I linked to has a series of feeds, and if you download today's CSV and sum all 4 case count columns it adds up to 650. 426 is the unvaccinated count. 650 is the count of all cases. Date covid19_cases_unvac covid19_cases_partial_vac covid19_cases_full_vac covid19_cases_vac_unknown 2021-08-20 426 64 103 57 BTW, it's not "my page"; it's the official gov't of Onta…
If we adjust for my mistake and make 426 the denominator, the odds go up to 3.5%. If we take into account that at least half of cases go unreported, the odds drop to 1.75% or lower. If we take into account that 25% or more ICU COVID cases aren't really COVID-related, (hard to find data on that but it was what was reported that way for Florida last week), the odds go down to 1.3%.
I apparently read well enough to instantly spot that 10% ICU conversion of infected unvaccinated is a bogus number. And my Israel data mistake didn't affect my conclusions at all. Maybe you should work on your reading?