In historical research, we evaluate the plausibility of hypotheses that aim to explain the occurrence of a specific event. The explanations we develop for this purpose have to be considered in light of the historical evidence that is available to us. Data functions as evidence that supports or contradicts a hypothesis in two different ways, corresponding to two different questions that need to be answered with regard to a hypothesis:
1. How well does the event fit into the explanation given for its occurrence?
2. How plausible are the basic parameters presupposed by the hypothesis?
. . . . .
[A]lthough this basic structure of historical arguments is so immensely important and its disregard inevitably leads to wrong, or at least insufficiently reasoned, conclusions, it is not a sufficient condition for valid inferences. Historical data does not come with tags attached to it, informing us about (a) how – or whether at all – it relates to one of the two categories we have mentioned and (b) how much plausibility it contributes to the overall picture. The historian will never be replaced by the mathematician.23
23 This becomes painfully clear when one considers that one of the few adaptations of Bayes’s theorem in biblical studies, namely Richard Carrier, On the Historicity of Jesus: Why We Might Have Reason for Doubt (Sheffield: Sheffield Phoenix, 2014), aims to demonstrate that Jesus was not a historical figure.
Heilig, Christoph. 2015. Hidden Criticism?: The Methodology and Plausibility of the Search for a Counter-Imperial Subtext in Paul. Tübingen: Mohr Siebeck. pp. 26f