Enough data is now available to do some analysis on the COVID-19 fatality and cases. I think it is fair to say that all models have proven to be horribly wrong. Scientists were predicting millions of deaths but data shows otherwise. However, for last several weeks a question has been lingering in my mind. How many deaths occurred as a result of covid-19?
Antibody studies in several countries have shown that around 5-20% of population has been infected by the virus but they are immune and asymptotic. A certain percentage of people will die every day in any city or country. But since 5-20% of living population is affected it also means that 5-20% of the people dying are also infected with covid-19. However, that doesn't mean all of those 5-20% dead who tested positive for covid-19 died because of it.
For eg. a stage 4 cancer patient who has 6 months left in January, dies in May. His test comes positive for covid-19 so cause of death is listed as COVID when in fact cause of death was cancer because the doctors already gave up 6 months ago.
This raises serious questions over the number of deaths recorded under covid-19. I think many of the dead would have died even without covid but since there is a lot of hype around it right now, doctors are attributing all dead who tested positive for covid as a death resulting from Covid-19. I think we need to differentiate between
1) Deaths caused by Covid-19. Eg. Doctors/nurses and other people who did not have any preexisting conditions
2) Deaths where Covid-19 was a contributing factor but not the primary reason. Eg. People over 70, heart patients, diabetics, cancer and other prexisting conditions
Here is a graph from UK that compares the chances of death for a normal healthy person in any given year vs covid-19 patient in different age groups.
The only problem is that I just don't see any difference! Do you?
bbc.com/news/health-51979654
The above graph shows that if you are 80-90, there is a 10% chance you will die this year. This is exactly the fatality rate of covid patients in the 80-90 age group. Same comparison can be done for any age group and results match almost to the dot! Is covid-19 the biggest scam of the century? Were we fooled by the media hype?
Antibody studies in several countries have shown that around 5-20% of population has been infected by the virus but they are immune and asymptotic. A certain percentage of people will die every day in any city or country. But since 5-20% of living population is affected it also means that 5-20% of the people dying are also infected with covid-19. However, that doesn't mean all of those 5-20% dead who tested positive for covid-19 died because of it.
For eg. a stage 4 cancer patient who has 6 months left in January, dies in May. His test comes positive for covid-19 so cause of death is listed as COVID when in fact cause of death was cancer because the doctors already gave up 6 months ago.
This raises serious questions over the number of deaths recorded under covid-19. I think many of the dead would have died even without covid but since there is a lot of hype around it right now, doctors are attributing all dead who tested positive for covid as a death resulting from Covid-19. I think we need to differentiate between
1) Deaths caused by Covid-19. Eg. Doctors/nurses and other people who did not have any preexisting conditions
2) Deaths where Covid-19 was a contributing factor but not the primary reason. Eg. People over 70, heart patients, diabetics, cancer and other prexisting conditions
Here is a graph from UK that compares the chances of death for a normal healthy person in any given year vs covid-19 patient in different age groups.
The only problem is that I just don't see any difference! Do you?
bbc.com/news/health-51979654
The above graph shows that if you are 80-90, there is a 10% chance you will die this year. This is exactly the fatality rate of covid patients in the 80-90 age group. Same comparison can be done for any age group and results match almost to the dot! Is covid-19 the biggest scam of the century? Were we fooled by the media hype?
