There's no point in extrapolating one claim to define the entire situation.
If you look into the literature, this guy has consistently performed studies with the intent of proving that covid is less infectious than most people think. You don't think this intent could bias his results? This, along with other work, has been criticized for poor statistics, like in his study where he based about 3,000 samples from the San Fransisco area to claim that covid worldwide is much less deadly than originally thought. This is pseudoreplication, and if you extrapolated Ioannidis' measured death rate of .12 to deaths in new york city, it suggests that new york city would have 4 million more people than it actually has. So you could just as easily do a covid study in NY, and extrapolate those conclusions to the rest of the world with a different result.
I don't know enough about statistics and medicine to understand the data behind the study that's posted, but that's the whole point of looking at the consensus. You could find conflicting scientific articles that support or contradict a whole array of issues. That's The point of science. But using one person's biased paper and overreaching conclusion is not ok and just stupid.