There is a lot of evidence that people’s beliefs about climate change reflect who they are, not what they know (e.g., read
this). There is also substantial research that increased information is likely to only reinforce what members of the public already believe, regardless of whether that interpretation is correct. Unfortunately, I am not a communicator, have finite patience, and even less finite understanding of how communication experts recommend to go about this stuff. I would be happy if a couple people learned something, but I don’t actually expect to get someone excited enough to read a textbook or take a grad class.
In this case, the discussion of models aren’t actually about models. No one has actually said anything about climate models as they presently exist. The discussion is rather a proxy argument for what people believe about climate change. Showing someone a model that performs well for some metric of the climate wouldn’t actually result in a “oh hey, I was wrong, this is serious stuff I should learn about!” or “hey, this model actually does do something right!” And actually, it is very easy to convince me that models perform poorly for some other metrics of the climate. Part of the job of scientists is to synthesize this information, learn new details, while being able to see the forest for the trees. This is why the only sensible way to approach any technical topic is to consult experts and the relevant scientific literature (and assessments of that literature, not just single papers). That’s not a logical fallacy, it’s common sense, except on special issues (climate, evolution) where worldviews, politics, or ideologies conflict with scientific understanding.