Comments by "Primmakin Sofis" (@primmakinsofis614) on "Experts say new restrictions in Ontario won’t curb COVID-19 spread" video.

  1. Pravda News, er, I mean Global News, is perhaps sensing a change in the political winds.
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  2.  @SteelFisher  Only 1 in 21 confirmed cases of COVID in Ontario has ever been hospitalized. Only 1 in 119 confirmed cases has ever been admitted to an ICU. The survival/recovery rate, if you are not an LTC resident, is better than 99%. Don't you know these stats? They are from THE GOVERNMENT'S OWN DATA. They are freely and publicly available.
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  3. To be fair, at the cycle threshold values Ontario is testing at, you could get a ham sandwich to test positive.
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  4. Only 1 in 21 confirmed COVID cases in Ontario has ever been hospitalized. Only 1 in 119 confirmed cases has ever been admitted to an ICU. The survival/recovery rate, if you are not an LTC resident, is better than 99%. Don't you know this, Sebastian? These figures are from THE GOVERNMENT'S OWN DATA.
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  5. Masks are all but worthless. If they worked as good as some people claim, then you should see some correlation in the data between case counts and when masks were mandated. There is no such correlation.
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  6. Pravda News approves of the colour red!
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  7. Nah. Dr. Fisman and his fellow fanatical Zero COVID crowd will never get the message. They're ideological lunatics.
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  8. Only 1 in 21 confirmed COVID cases in Ontario has ever been hospitalized. Only 1 in 119 confirmed cases has ever been admitted to an ICU. The survival/recovery rate, if you are not an LTC resident, is better than 99%. Don't you know this?
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  9. One year ago the Ford government announced it had added 1,492 critical care beds, raising the provincial total to 3,504. Yet Critical Care Services Ontario reports there being only 2,400 critical care beds in the province. Where did the other 1,100 beds go the Ford government said it had created? Did it lie a year ago?
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  10.  @tylermcmahon8157  There is zero correlation between lockdowns and case counts. There is zero correlation between general mask usage and case counts. Seasonality correlates to case counts far more than any other single factor.
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