I think part of the problem is the level of uncertainty. We do not know:
- The true number of people who are infected.
- The death rate, which would require that we know how many people are or have been infected.
- The number of people who have tested positive and then died of COVID-19, rather than a pre-existing condition.
- The number of people who have already had COVID-19. Data from various sources show that up to 75 percent of people may be asymptomatic.
Some people--not all--look at the degree of uncertainty in the data and conclude that "experts" can't possibly know what they claim to know. It just isn't possible.
The "cure" for such people will be widespread testing or at least randomized testing.
- The true number of people who are infected.
- The death rate, which would require that we know how many people are or have been infected.
- The number of people who have tested positive and then died of COVID-19, rather than a pre-existing condition.
- The number of people who have already had COVID-19. Data from various sources show that up to 75 percent of people may be asymptomatic.
Some people--not all--look at the degree of uncertainty in the data and conclude that "experts" can't possibly know what they claim to know. It just isn't possible.
The "cure" for such people will be widespread testing or at least randomized testing.