Hume argues against miracles by means of his balancing principle:
- (HBP) You should believe p on the basis of testimony only if p is at least as probable as the falsity of the testimony.
There are two interpretations of HBP, depending on whether “probable” refers to the prior probabilities (the probabilities before the evidence of the testimony is accounted for) or posterior ones (the probabilities after the evidence has been weighed). On the posterior interpretation, HBP is almost completely obvious (at least if the “should” is that of epistemic normativity). On the prior interpretation, HBP is well-known to be false: the standard counterexample is that it’s reasonable to believe that you won the lottery on the basis of a newspaper report of the winner even if the chance of a newspaper error exceeds your chance of winning the lottery.
I think the prior interpretation fits Hume’s text better, even if it’s bad epistemology.
In this post I want to suggest that there could be reasonable assignments of priors for a theist on which the prior probability of the falsity of the testimony is less than the prior probability of the miracle.
Assume we are theists. Take the resurrection of Jesus. First, let’s say something about the prior probability of the resurrection of a human. Given theism, there is a good God, and it wouldn’t be surprising at all if there were resurrections. In fact, we might expect it from a loving God. But how often would they happen? What is the resurrection rate in human beings? Well, here we need to turn to empirical data. Let’s grant Hume that apart from the case under examination, there are no resurrections. There have been approximately a hundred billion human deaths, so we have an upper bound on the resurrection rate of less than one in 1011. It’s not unreasonable, I think, given the moderate prior probability that someone would be resurrected, and the lack of resurrections in 1011 cases, to suppose the probability of a particular person getting resurrected would be something like (1/2) ⋅ 10−11.
But what is the probability of false testimony? Well, as an initial back of the envelope calculation, suppose we have 11 witnesses, and each has an independent 1/20 chance of lying or being mistaken that Jesus was resurrected. So, the chance that they all lied or were mistaken would be (1/20)11 or (1/2048) ⋅ 10−11.
With these numbers, the prior probability of Jesus getting resurrected is about 100 times bigger than the prior probability of the 11 witnesses lying that he was resurrected. And so even in its prior probability formulation, HBP doesn’t destroy the testimony to the miracle.
Of course the numbers are made up. Probably the main problem has to do with the assumption of the independence of the witnesses. But that problem is to some degree balanced by the fact that 1/20 is way too high for a probability of lying or being mistaken that they witnessed a resurrection. (What percentage of the people you know testified to witnessing a resurrection?)
In any case, I think the above shows that it is far from clear that, assuming theism, a reasonable estimate of the resurrection rate of humans would be lower than a reasonable estimate of the resurrection mendacity rate for groups of 11 people.
Now what if we don’t assume theism, but assume, say, a 1/10 chance of theism? Well, that approximately cuts our estimate of the resurrection rate of humans by a factor of 10. But that’s still not enough to make it clear that the resurrection rate of humans is less than the resurrection mendacity rate for groups of 11.

