Bayesian verses frequentist statistics?

When I read this I
thought you were inventing a
new form of poem.

This is a very complicated issue. You will find many viewpoints on the appropriateness of Bayesian versus frequentist statistics. At least in my field (medicine and science), frequentist statistics predominate, most likely because they are somewhat easier to understand. Also, many people don’t like Bayesian methods, because they require an estimate of the prior probability before arriving at a “final” probability. That estimate is fraught with error and makes it difficult to know if something is “true”. Here is an article describing the battle within medicine and science over the two methods.