OK, so I have absolutely scoured the internet, and it appears that there is consensus (among people who really care about Type I error) that doing a MANOVA before doing multiple ANOVAs does nothing to protect against Type I error. But then, there's still a set of people I see that are saying that MANOVA DOES protect against Type I error, and that if the MANOVA is significant, you can simply run ANOVAs and t-tests with p<.05 without multiple comparison correction.
For example, this video here: https://www.youtube.com/watch?v=3pzCa4Whv74
They do MANOVA -> multiple ANOVAs -> multiple t-tests. There is no multiple comparison (e.g., Bonferroni, etc. etc.). The fact is that the MANOVA (if significant) justifies the multiple ANOVAs (which you can then use a significance threshold of .05), which then (if significant) justifies the t-tests.
My question is two-fold: a) is the practice above still considered "reasonable"? For example, if I submitted a paper in Computer Science using the above process, would I get outright rejected (e.g., with ~50 dependent variables). and b) are the majority of the people doing MANOVAs in published papers still doing the above? (I imagine the answer is yes)