It's a truism that in science it is at least as important to
state the reasons why a theory or idea might be wrong, as to state
the reasons why it is might be correct. For example, early
renormalization methods made experimental predictions that were
very accurate, but the inventor's famously worried for decades
about the conceptual problems of divergences; and many of their
papers/articles/books on the subject include a long discussion
about how acutely worried they were that their...