Studies with n=10 aren't opening any eyes. They are adding garbage to a crowded information landscape. Even in the larger studies, there are so many issues. Ta

Studies with n=10 aren't opening any eyes. They are adding garbage to a crowded information landscape. Even in the larger studies, there are so many issues. Take the first one about fat and heart disease. Riddled with errors you'll find warnings about in most data science for beginners tutorials. Or the one about the Mediterranean diet - zero thought given to confounding effects regarding many possible factors. People who eat the Mediterranean diet also live near the sea, and share genetic, cultural, linguistic, political, and economic factors. Sure, maybe it's the fish and olives, but maybe it's another one of the billion things they have in common versus other Europeans or Americans. This style of studying human metabolism is net-negative. Ignoring it is indeed a benefit. On the other hand, tell me that sugar metabolizes into known toxins, and that's a very different story.