There are many possible probability measures that could allow us to meaningfully compare probabilities of probability zero events, using something like the Radon-Nikodym derivative. (After a little reading, I have found that there is a general statistical construction called the conditional probability distribution that fits the bill nicely.)
To take the first example that popped into my head, suppose that $P(x)$ is a continuous probability distribution function on $\mathbb{R}_{\geq 0}$ such that $\int_{0}^\epsilon P(x) dx$ is the probability that somebody will appear with genetic distance at most $\epsilon$ from Jesus. Then (by our assumptions about the distribution) there must be zero probability that Jesus Himself will appear.
But nevertheless, we could have $P(0) > 0$ (and I would guess that we do, given my many encounters with people similar to Jesus). Given some other distribution $Q$ (like the weighted distribution function for Jackson County), we could imagine calculating that $P(0) >> Q(0)$ very explicitly.
This is a meaningful way to numerically compare the relative probabilities of the various impossible appearances of Jesus, so Cenk Uygur has clearly jumped to conclusions, most likely from an inadequate foundation in Lebesgue integration and measure theory.
His "like dividing by zero" comment further suggests that he has never even heard of the Dirac delta measure! I find his willingness to comment on such sensitive mathematical matters an appalling abuse of the interviewer's chair, and I insist that he recuse himself from the public stage until he has done something to address these foundational statistical deficiencies.
At my university, even first-year graduate students in statistics should be able to compare impossible events with ease. There is really no excuse for these standards, especially from celebrities.