Collecting data is prudent.
While not certain, it is likely that we will have a pause in the spread of the virus. Less likely is that it will just go away. While there are many unknowns, we do know that the virus has an incubation period of about 2 weeks. Therefore we know we can not make a policy change then immediately monitor the affect. Phased approach seems wise.
We also have history with similar infections to know that there is a possibility that COVID-19 could come back even stronger in multiple waves. It would be crazy to not account for that possibility and plan for it.
Here is a chart of the 1918 flu waves. I did not spend a bunch of time checking to see if its accurate, but it looks similar to other charts I have seen. If our winter could really look like that, would you not want your government to plan for such a contingency with out just dismissing it as being driven by fear?
Currently we have over 1.45 million confirmed cases in the USA and our 5 day average is up (as I type this).
https://coronavirus.jhu.edu/data/new-cases
The overall trend does not seem to have turned yet, but as I have stated before I don't feel qualified to make any judgement. I am just looking at the chart and see a line that is still trending up.
https://coronavirus.jhu.edu/map.html
I also find it difficult to understand the logic behind your statement.
IMO we need to dispassionately look at real data and statistics, stop being driven by fear of an infection that the vast majority of us will easily survive, and pivot to quarantining the old and vulnerable rather than the healthy, as we study therapeutics and vaccines that will ultimately protect the truly at risk in the population.
How does a virus discriminate between those in isolation and those who choose to take a risk when we all interact to survive? The weaker among us are especially dependent on others to survive.