Quote:
Originally Posted by IUFAN
IT is an election year. Here is the shot. Check the numbers of the covid against the numbers of the h1n1 in 2009. I have found that we can not believe anything the media tell us. Good friends of mine told me they went to get a covid test. Signed the papers and got inline to take the test. Sitting in their car waiting after an hour and a half decided to come back the next day. Well before coming to complete their task of getting the test got a phone call stating that their test they took yesterday was positive. Quite a shock when in fact not getting the test done the previous day. One other situation of a personal experience. I have a close friend that works in a Hospital in Georgia. The situation there is that if a person dies of covid the hospital got $13,000 vrs $5,000 for a normal passing. well guess what? No matter if one came in and was in a car wreck and was certainly on deaths door and tested positive and died.......It was recorded as a covid case and the hospital got the 13k. Therefore I do not believe the numbers and all thats going on anymore than the regular flu each year and by the way check those numbers against the covid and you will see another comparison of media hype.
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Of course the data is not exact because there are thousands of people adding to the database and not all understand or care to follow the exact reporting rules. Your examples, like many others discussed in this forum, are anecdotal. They can be outliers which do not represent the full body of accurate data.
So for the sake of discussion, lets say that 10% of the data is inaccurate. Instead of 210,000 people dying of Covid-19 or from the stress of a Covid-19 infection causing an underlying condition (heart disease, diabetes, etc.) to contribute to a person's death, 189,000 deaths is still a whole lot of suffering. Many of those folks would be alive today had Covid-19 not made its appearance in the world. In that regard, Covid-19 is certainly a contributing cause of death.
The specific Covid-19 numbers are a signal/trend that we have a severe health care problem today which would have been much worse had most people not worn masks or socially distanced. So if you are a disbeliever in the extent of this medical crisis, then hold on to these stories and ignore the overwhelming data that is accurate.