Maybe the causation is the other way around. People are only willing to attend a statistics class once they are on the way (but not fully aware yet) to understand that correlation doesn't imply causation.
Looks like an AI generated image to me. Lots of strange artifacts an artist wouldn’t create. And there’s something uncanny about the stippling pattern I’ve seen before in AI images.
Yeah, somehow it looked AI before I clicked into it for the high res version, something about the way the guy's face was drawn. And when I saw the high res, it was really obvious, because the pupils are askew in a way a true artist would not have chosen. And as you say, the stippling pattern is typical of AI. Weird that our brains seem to be some of the best competitors in the arms race between creating and identifying AI images.
The top right one is definitely not drawn by a human, it's right out hexagons. Noone cross-hatches like that because you can't cross-hatch like that there's no lines going straight through.
The rest could be artistic choice, compression artifacts, or other stuff though. Well, some minor stuff, the topmost book on the left pile on the desk on the right is sus, and there's way too many sponges at the base of the chalkboard. But none of them are dead tells like the hexagons.
How did you spot that? I'm good at spotting real life images but I didn't even blink at this one. I saw one thing when I went back after reading your comment, but it took me a minute to find it
I was thinking so as well. Mostly because of the left pupil not looking like the right pupil, but also the style. The style of shadow below the chalkboard looks like a really odd choice.
It’s certainly better than most! For instance the text looks excellent. Look at the scientist’s eyes for a clue - one of them has a suspicious white circle while the other doesn’t, and the asymmetry does not seem to be intentional.
I like the meme, but I don't think it actually works. The implication here is that there's a correlation between confusing correlation with causation and dying. But there isn't such a correlation. You are statistically equally likely to die either way
No, it's not. The joke is that there is a correlation, but that actually correlation doesn't mean causation. But here we have a situation where there is neither correlation nor causation.
The problem is that the joke suggests that correlation is when A -> B (or at least it appears as such). Implication (in formal logic) is not the same as correlation.