@TizerorFizz
I didn't dismiss the evidence. My "silly comment" was to try and help you understand that the inference you have drawn from it doesn't necessarily follow.
I can see it hasn't worked, because now you are listing variables that might actually be relevant, yet still can't see that some of these have nothing to do with what kind of university someone studies at.
The industry may be targeting post 92 unis because that's where they can find a higher proportion of the people they are after, a bit like Oxbridge targeting state schools because they want more kids from disadvantaged backgrounds. It's a perfectly reasonable approach, but it still doesn't mean what you seem to think it means.
If you say that 2/3 of clinical psychologists attended university type A and 1/3 attended type B, it doesn't follow that choice of university affects the chances of a career in clinical psychology. You would need to be comparing identical or very similar cohorts to be able to draw that conclusion. They would have to be similar in number, background, education, other opportunities, family links, ambitions, interests, ability, socioeconomic groups, geographical spread etc etc etc. What if there are twice as many students at university type A? It doesn't look so bad then. Or what if everyone at university type A wants to be a clinical psychologist and hardly anyone at university type B does? Suddenly university type B looks like the "better" choice.
Honestly, I think it's great that lots of young people are studying psychology, if only because it means fewer people misunderstanding stats and causation. Although tbf I'd be surprised if even an A level student would make this mistake.