Your sibling comments are seem to be mostly trying to poke holes in the statement about COVID. Independent of our performance modeling COVID, we need to admit that we get things wrong and this is applicable to climate modeling. AND there's uncertainty. The chance of models getting it correct is exactly 0% (all models are wrong, some models are useful). How far off is a big question (uncertainty quantification). I think the scary part with climate modeling is that things are looking scary even if we're over-estimating warming. I think models are probably under-estimating. Bifurcations are an important, but tricky piece of chaotic dynamics. I'm really worried that we don't know all the bifurcations, "tipping points", and feedback loops. But, I'm also not a domain expert.
Edit: Sorry, also meant to ask for a reference on _all_ life disappearing due to climate change. Perhaps all human life, but life in general seems pretty resilient. Eg. recent headline [1]: Scientists revive 100 million-year-old microbes from deep under seafloor.
[1] https://www.reuters.com/article/us-science-microbes-idUSKCN2...