It depends on why you're testing. You never just test to gather data without purpose. So when we were doing PCR testing, it was partly about gathering population statistics to build dashboards, because a surge in positive PCR test results would correlate to a subsequent surge in the hospitalization rate. The hospitalization rate and the percentage of empty versus full beds were what needed to be managed, as an increase in severe Covid patients would overwhelm hospitals making it impossible to treat people with otherwise routine emergencies like arterial wounds. There were a lot of videos out of India in late 2020 which showed the result of uncontrolled Covid surges, and it was mostly Hospital Full -> No treatment for anyone -> Lots of deaths. Or a lot of sick and injured people waiting outside or taking welding gas because the hospital grade oxygen was used up.

By contrast, testing with rapid tests is mostly about seeing why you're sick before you go somewhere, and those tests probably don't need to be as sensitive. The hospital has capacity to treat people because of the PCR tests and so we can manage if some of the PCR tests are false-negative. Most people are vaccinated so we can tolerate some Covid-positive people mingling in public places now.

Tests aren't magical, and there are different tests with different capabilities. I'd suggest you learn about sensitivity versus specificity and learn how to compute the false positive, false negative, true positive, and true negative rates. It might be eye opening for you.