8 Comments
Jul 8Liked by Daniel Nagase MD

Why couldn't they compare Covid-19 patients vs influenza in real time? Why did they have to pick and choose just some influenza seasons? Wasn't the 2016-17 influenza season really bad in BC? It was pretty bad in GTA...

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They could have, if they chose a PCR segment that was different between Covid-19 and influenza. But I suspect their testing methodology ended up misdiagnosing influenza's all as Covid-19, and so there's no way to tell what was actually the flu in 2020-2022

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Okay… correct me if I’m wrong, but aren’t same testing machines look for most common viruses , including influenzas, RVS, other coronaviruses in the same cycle?

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So many statistical and loose definition tricks at play from the 'experts' -- such 'studies' are more marketing for certain products than anything scientific.

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Feb 4, 2023Liked by Daniel Nagase MD

Excellent post. Thank you.

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Feb 4, 2023Liked by Daniel Nagase MD

I hope you will share your article with the people behind this.. not that it will make a difference, but still...

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stay tuned, the health Canada "experts" are next!

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Dear dr. Daniel Nagase,

As a person who has the training nor the intellectual wherewithal to read & interpret statistics, I am immensely grateful to you for going through the trouble of explaining point by point where this particular study went awry.

Oversight or lie? This is the million dollar question, which is hard to answer. I do have assumptions about the 'invisible decisions' (or rationalisations) that play out in the course of such a study, group pressure, time limits, and so on, which fall under the rubric of 'oversight'. The assumptions themselves, however, (what is important to look at and what not) are likely to be 'inspired' by atacit orthodoxy, or what is deemed to be 'best/established practices'...

Turtles all the way up, until we find ourselves at some globalist gathering. But I prefer to listen to your and other people's podcasts (of which your 'Remember'-speech in - Vancouver? - is an outstanding example) Thank you!

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