It is broaching the topic in a way that doesn't automatically get upvoted by people who agree with it, or automatically downvoted by those who disagree.
I also wasn't asking a question. I was giving an actual example of the consequences of the economic system many HN'ers believe in.
It's just a reaction to the free market magical chimp thinking out there.
Pendulums can't keep swinging further & further without destabilizing the entire fulcrum & structure. To stretch the metaphor further, I hope as they're on the down stroke this time around we can put a little bit of equal & opposite force against their inertia.
So yeah I'd guess that the reason is mainly 1 and 3.
"incentivizing grieving families"
But I am curious about why people downvote, hence my follow up. Clearly some people will downvote a thing they disagree with, or is flame bait. But will they downvote a thing they might agree with, but it also worded as flame bait? That sort of thing. I really am curious about the various behavioral patterns involved in awarding internet points.
Edit: You're in AI-- what's the landscape look like for improving automated translation to detect sarcasm? As a problem domain, it seems like it would be a subset/cross-section of sentiment analysis & word-sense-disambiguation.
Once you have that you just fine-tune a BERT-dervived transformer neural network.
See https://paperswithcode.com/task/sarcasm-detection/codeless for some examples and datasets.