well there you go. that was great, but I want to comment on a few points. people in the highest-risk groups do have a greater chance of being killed by the virus once infected (hence the categorization as high-risk), but not every infected person dies. so being an infected member of a high-risk group and surviving does not mean that the deadliness of the virus is somehow overrated. some survive and some don't.
if there's never been a thorough study of the general population, and only some underpublicized studies suggest as much as 60% of the population has had it (which seems a very high estimate given the size of the population, the virus' known incubation period, and the evident and still very upward trajectory of growth in the number of known cases), then it seems premature at this point to conclude that we are overreacting. the WHO and CDC are very experienced at the analysis of infectivity, path, trajectory, mortality rates and other impact of epidemics, and they are extremely dismayed. we see that other countries hit earlier than us have fared very poorly in underrating the danger of this virus. as a scientist, I always read broadly but I tend to respect most the raw data and make my own interpretations as carefully as I can.
you may have worked out part of this 'statistical significance' issue already. if I measure out 2.39 mg of LiOH on my best analytical balance and add it to one liter of neutral deionized water, that gives me a specific concentration of hydroxide ion in solution (0.000100 molar). it's a low concentration as compared with scenarios where I might have added 2.39 g or 23.9 g instead. but it's high compared with the original concentration of 0.0000001 molar. we can say that a certain amount is significant or insignificant compared to a certain other amount, but that's not the same as statistical significance, which is part of a statistical analysis. the value 0.000100 molar is significant if you care about the purity of water. can you drink it and survive? easily. do you want to?
some of the other problems with pointing to a number like 110,000 and saying it's insignificant are: one, they're people; two, that number was reduced by people staying home, distancing and wearing masks when out, isolating when sick; so criticizing the number as small is criticizing success; and then lastly, we don't pick single data points on a graph and say 'too small'. that number used to be much smaller and it's still growing by