You make quite a few good points.
I also worked with my own company and I understand the logic that if you don't show up you don't get paid. It's a big conundrum if you get sick.
Over here there seem to be quite a few people who just don't care of their own and other people's safety.
I would like to go back to the 1% false positives subject however and I'll try to make some example to show to what extent it matters.
I'll make 3 examples that contain yesterday's figures from worldometers.info/coronavirus and assume that the rate of false positives is 1%, although as you pointed out it may be higher than that.
tests = 609,917
new cases = 59,696
1% false positive = 6,099
=> In this case the number of false positive is only 10% of new cases
tests = 45,914
new cases = 953
1% false positive = 459
=> In this case the number of false positive is 48% of new cases, that is about half of them
tests = 51,095
new cases = 104
1% false positive = 511
=> In this case the number of false positive about 511% the number of new cases, that is 5 times larger. The margin of error is larger than the measurement.
This is what I meant by saying that perhaps we're getting a skewed view by only looking at the reported number of new cases without considering the total number of tests, the rate of false positives, and the consequent number of likely false positive.
Said that, keep safe and take care of yourself and your near and dear.