I pretty much agree with everything you said, the problem is that has nothing to do with this data. This is NOT showing what they falsely reported as a COVID death. This is showing how many people had other causes that contributed to their death. You're responding like 100% of the cases that had a comorbidity had the wrong causes of death attribute to it. That is false. I bet a lot were, but running with this as proof 90% of deaths were fake is a lie.
I think you are right and your point is significant, but I would add the following:
We do not know, in the 94% of cases which featured comorbidities, how many of those patients were actually showing symptoms of COVID, or if the virus hastened their death or not. We only know that they tested positive at some point before they died. Some of those deaths likely had little or nothing to do with COVID. Others could have been caused primarily by COVID, comorbidities notwithstanding. So as you say this data really doesn't give us a way of saying "this many COVID deaths were misreported", etc.
We can nevertheless say with relative certainty, given the problems with the tests, that there were a significant number of false positives among those 94%. Again, how many it is impossible to know without more information.
So when it comes to the question of how many did COVID actually kill, we can't say "it only killed 10,000", at least not based on this data. However, based on this data it is reasonable to speculate that a significant number of the deaths attributed to COVID were in fact unrelated to the virus. I personally think that number is pretty high, maybe as much as 50%, given what we know about the reliability of the tests and anecdotal evidence from physicians and nurses. But that's just my opinion.
What we can 100% conclude from this data is that COVID isn't anywhere close to as scary as they have led us to believe. I personally think the numbers have been grossly inflated--this data, while not proof of my assertion, makes it that much more plausible.
I pretty much agree with everything you said, the problem is that has nothing to do with this data. This is NOT showing what they falsely reported as a COVID death. This is showing how many people had other causes that contributed to their death. You're responding like 100% of the cases that had a comorbidity had the wrong causes of death attribute to it. That is false. I bet a lot were, but running with this as proof 90% of deaths were fake is a lie.
I think you are right and your point is significant, but I would add the following:
We do not know, in the 94% of cases which featured comorbidities, how many of those patients were actually showing symptoms of COVID, or if the virus hastened their death or not. We only know that they tested positive at some point before they died. Some of those deaths likely had little or nothing to do with COVID. Others could have been caused primarily by COVID, comorbidities notwithstanding. So as you say this data really doesn't give us a way of saying "this many COVID deaths were misreported", etc.
We can nevertheless say with relative certainty, given the problems with the tests, that there were a significant number of false positives among those 94%. Again, how many it is impossible to know without more information.
So when it comes to the question of how many did COVID actually kill, we can't say "it only killed 10,000", at least not based on this data. However, based on this data it is reasonable to speculate that a significant number of the deaths attributed to COVID were in fact unrelated to the virus. I personally think that number is pretty high, maybe as much as 50%, given what we know about the reliability of the tests and anecdotal evidence from physicians and nurses. But that's just my opinion.
What we can 100% conclude from this data is that COVID isn't anywhere close to as scary as they have led us to believe. I personally think the numbers have been grossly inflated--this data, while not proof of my assertion, makes it that much more plausible.
I 100% agree with everything you wrote.