It’s simple statistics: If you test everyone that walks into a hospital regardless of symptoms, then whatever the maximum amount of false positives that is possible, THAT’S HOW MANY FALSE POSITIVES YOU WILL GET.
Say you have a test that is 90% accurate and a virus only 1 in 100 people is likely to have. You test 100 people, 89 will test negative, 11 will test positive. Out of those 11, one of them is the actual 1 out of 100 who has it, the other 10 are false positives: They are the 10% error rate. Simple math.
Congratulations, you’ve just inflated the infection rate by a factor of 10.
THIS IS EXACTLY WHAT THEY’VE BEEN DOING FOR TWO YEARS STRAIGHT.