I don't want to speak for Ivor, but I think he was saying that if the input values aren't well-supported by evidence, you will not necessarily get a valid conclusion. That's true of all equations, including Drake's. In practice, Bayes theorem is used in many applications where the input values are well-supported by evidence. Where the evidence is sketchy, the conclusion may not be valid.
See the courtroom example in this article for a "fuzzier" approach to the use of Bayes theorem to add up evidence against a defendant to try to determine whether the defendant is guilty. The accuracy of the result would depend on how certain you are of the probabilities placed on each piece of evidence against the defendant.
-Bri
That's my point. Bayes' theorem is used where the input values are supported by evidence. Even your courtroom example has a very well-defined likelihood ratio. So why use it, instead of other forms of reasoning, when it can't give you valid results? Does anyone besides Religious Apologists claim that this obviously useless exercise is a useful exercise?
Linda