Please look at these 2 images very carefully & share widely.

Left Image: from today in a doom tweet from @SharkawyMD showing 410 & rising COVID19 ICU patients in Ontario.

Right Image: from Dec 11, when there were 247 COVID19 ICU patients.

Here is ER Doc @JeanmarcBenoit' tweet. He has been trying to convey overall ICU census is stable *despite* COVID19 census increasing steadily.
And here is @SharkawyMD's tweet from today; again showing similar overall ICU census, despite COVID19 patient census increasing.

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More from @rubiconcapital_

11 Jan
Pointing out some interesting peculiarities in the recent Ontario #COVID19 case and mortality data. This brief thread is a bit technical.

These peculiarities are similar to those identified in the UK data by @ClareCraigPath and @RealJoelSmalley
The % Positivity and daily deaths by Date of Death trends meaningfully diverged for the first time during the first two weeks of November…
In the 1st wave, correlation between (i) deaths by date of death and (ii) fatal cases with an episode date 12 days prior was almost perfect, with R=0.983 and R^2=0.976…

The second chart shows the onset-to-fatality lag correlation signal…
Read 12 tweets
3 Jan
"Global Canada” (@GlobalCanadaOrg) appears to be the funder of the #CanadianShield strategy (@csc_canada_), essentially a #COVIDZero rebrand, supported by Ont Science Table members. It seeks extended, hard-lockdowns Canadawide.

Global Canada is funded by Bill Gates’ Foundation…
Global Canada (“GC”) is run by Executive Chairman, Robert Greenhill (@RobertGreenhill). Mr. Greenhill is a former high-ranking official at the World Economic Forum, serving as Managing Director and Chief Business Officer for 6 years until 2014, when he founded Global Canada…
Global Canada (“GC”) was founded in 2015 and has since received three grants as disclosed on the Bill & Melinda Gates Foundation website. The first two were in November 2015/2016 and total a modest ~$1.3m…

(more on the 3rd, more recent grant in a moment)
Read 22 tweets
2 Jan
Quick summary of the total *garbage* economic “analysis” by @csc_canada_ and the #CanadianShield folks (aka #COVIDZero). This is their “evidence” for more damaging, widespread lockdowns in Canada, which I now believe are inevitable given this new PR push….
It starts with a completely made up, fancy acronym called “STUDIO” as the name for the “model", to presumably give it an air of legitimacy...
It was “completed quickly” and designed to inform policymakers (so it will have the ear of government)…
Read 12 tweets
2 Jan
I believe we're now in danger of full Canadawide "hard-lockdown" for at least 3 months. This is the appalling #COVIDZero strategy unofficially supported by the Science Table, rebranded as #CanadianShield. Economy/society won't make it 'til Spring. ⬇️is based on garbage analysis!
This is the thin, bankrupt economic analysis the group puts forth, which contains no analytical rigor, and assumes the economy can bounce immediately to full capacity and the "end" of a lockdown. Utter absurdity.…
There is no evidence of a deadly epidemic in the community....
Read 13 tweets
23 Dec 20
The unconvincing analysis from your Ontario #COVID19 Science Table; a quick thread… Image
Michigan has been used as a reference point by the Science Table since October 9th…. Image
And again, in the October 29th update…
(case growth not yet worrisome) Image
Read 12 tweets
20 Dec 20
1/ Grab a cup of coffee

We are now seeing striking correlations between (i) the # of COVID19 tests and (ii) % positivity within/across certain important individual PHUs in Ontario.

This has implications for local lockdown policy, and for the global PCR/false-positive debate...

If you are not in Ontario, but involved with / following the PCR debate, this is still of interest to you. We are seeing similar testing/positivity correlation dynamics as seen in the UK. This thread borrows/builds substantially from @profnfenton here:

Upfront caveat: correlation does not mean causation, and it is difficult to draw definitive conclusions from simple testing data. However, it is important to determine whether lockdown policy (for its unmeasurable collateral damage) is informed by false/flawed test results.
Read 27 tweets

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