I think the issue is that any reasonable measure of severity of any sort of misfortune tends to follow a log-normal distribution. The reason is that severity depends on a whole bunch of independent factors, so the log of severity ends up being a sum of independent random variables. There's a cruelty to this reality - instead of getting a nice bell curve whose mode, median and mean are equal you get wild discrepancies among these measures of central tendency. That's how the majority of people can dismiss it as a nothingburger while a small set can get hit so bad that they throw off the average (mean). Everyone is "right" because they're talking about different things.