The eternal struggle between mathematical purity and statistical pragmatism! Pure mathematicians pride themselves on elegant proofs and logical necessity, while statisticians are over here like "n=30 is good enough for Central Limit Theorem, don't @ me."
The magical number 30 appears everywhere in statistics because it's roughly where sample distributions become normal enough for parametric tests. No deep mathematical reason - just a practical threshold where things start working. It's the statistical equivalent of "eh, close enough" and I'm dying at how perfectly Patrick represents every stats professor I've ever had.