Crypto analyst shared a deep reflection on costly crypto mistakes, arguing that conviction without probabilistic updates is expensive. Using Bayes’ thinking, he highlights how ignoring tokenomics, unlocks, and optionality turns good research into losses—and why survival beats being “right” in markets.