It helps reduce verbiage.
Do you not agree that such lies are bad? Perhaps you think the end justifies the means, but in that case, you might want to consider what telling lies does to the public’s perception of your trustworthiness when you tell them it’s necessary to stay in lockdown.
And then there’s all the real reasons not to panic. Because hoarding is bad for everybody. Because failing to seek necessary medical care for your ruptured appendix because you’re afraid of getting Covid-19 as a 28-year old would be pretty bad. And on and on.
What possible good do the lies I described above accomplish?
It does not seem plausible that reasonable people would suggest suppressing data just because some people tried to spin deaths reported May 5 as being due to the May 4 reopening.
If information sources in either of the examples you gave were later suppressed due to the extreme spin put on them, please let me know.
For comparison, Australian testing rates (some of the best in the world) are around 0.5% to 1% in the week after the peak of cases.
First there is the assumption that you have to "pick a team", and that every voiced opinion also has done so.
Then there is the assumption that the voices from the far extremes of these sides are the ones worth listening to.
You've got to be kidding. Here on Hacker News people were buying the very same sort of spin from an article about the 1918 flu epidemic and San Francisco (I think that was the city). I've seen lots of people on either "side" of this issue buy into absolutely outrageous claims that are clearly just spin.
For example, weeks ago somebody on the "open up now" side graphed the data from the CDC showing that deaths around the country weren't increasing, but in fact plummeting. The page with the data is explicit in multiple places that the data is incomplete for many weeks into the past. Then, weeks later I heard that the official death toll from Covid-19 had been cut by 50%. When I asked for a source, it was that same page with data that lags by up to 8 weeks.
Another example: somebody on the "panic now" side reported (in the news, IIRC) that Michigan's positive test ratio was skyrocketing and had reached 47%. The only table that contained positive vs negative test results clearly had not been reporting the negative tests at all. They should have just gone ahead and claimed that 100% of the tests in MI were positive, since that was what the table showed for the previous 5 days.
The fake news around Covid-19 has been driving me absolutely crazy on both sides.