Is the Resurrection of Jesus Improbable?
For many people, believer and skeptic alike, the answer to
the question "Is the Resurrection of Jesus improbable?" is patently obvious:
"Of course it's improbable!"
And in a sense they're right. By definition, miracles such as the resurrection
of Jesus do not occur often, if they occur (or have occurred) at all, so that
by a frequency interpretation of probability, at least, the resurrection is
unquestionably improbable. Indeed, with the use of this restricted frequentist
understanding of probability some powerful arguments can be raised against the resurrection.
Doubtless the most famous such argument is David Hume's,
including his "general maxim": "...that no testimony is
sufficient to establish a miracle, unless the testimony be of such a kind, that
its falsehood would be more miraculous, than the fact, which it endeavors to
establish.” Per Hume's reasoning, miracle claims run up against a wall of
improbability so high that it only be overcome by evidence so great that it somehow
demonstrates the probability of the miracle to be even higher. But testimonial
evidence can never clear the wall, because human testimony is inherently,
demonstrably corruptible. Thus, so the argument goes, for any given miracle claim
it's always more probable that the claimant is simply lying (or deluded, or
hallucinating, etc.) than it is that the laws of nature have failed to hold.
Extraordinary claims require extraordinary evidence.
Hume's argument appears eminently rational. Many
observers consider it an informal expression of Bayes' Theorem, a powerful
mathematical tool for assessing and updating probabilities in light of available
evidence and prior probabilities. In principle we can use Bayes' Theorem to assess
the probability of the resurrection, where R is the hypothesis that Jesus rose
from the dead, E is the proposed evidence, and K is our background knowledge,
which includes all relevant but not case-specific information:
P(E│R
& K) x P(R│K)
P(R│E & K) = --------------------------
P(E│K)
P(R│E) here means basically "the probability that the resurrection occurred, given the evidence provided in support of it." Per Bayes'
Theorem, then, the probability of R given evidence E equals the likelihood of R
on E (or the explanatory power of R) times the prior probability of
R (a somewhat subjective probability estimated prior to, or apart from, the specific
evidence in question). Thus for the resurrection of Jesus to be
"probable" the explanatory power of the resurrection conjoined with
its prior probability must exceed the probability of simply having the evidence
for it that we do have apart from any particular hypothesis.
Now I am not a mathematician or statistician. So to appreciate the usefulness of the theorem I find it helpful to examine
the likelihood ratio and the prior probability of R separately, with the
proviso that their probabilities will be diminished when multiplied together. First
let's consider likelihood, or the explanatory power of R, leaving out P(R│K) for
the moment:
P(E│R & K)
---------------
P(E│K)
For R to enjoy substantial explanatory power, the
probability of our having the evidence E on
the resurrection hypothesis must be high relative to the probability that
we would have E regardless. In the spirit of Hume, many philosophers have
argued that even if P(E│R & K) is extremely high, it cannot be all that much higher
than P(E│K), simply because given human nature we could expect to have something much
like E (stories about men rising from the dead) whether the resurrection
occurred or not.
I don't think that's the best way to read the evidence.
Yes, people (not just religious devotees but scientists and skeptics) have been known to make up
stories about all sorts of things. But the set of facts bearing on the case of
the resurrection narrative takes place in a specific historical context,
involving identifiable historical personalities (e.g., Jesus, Pilate, Herod,
Joseph of Arimathea, Mary Magdalene, and Peter), geographic references and
topographical features, and contemporaneous events. Those events include the birth
of the church in Jerusalem, on the preaching of the resurrection, despite
violent persecution, and a scant few weeks after the crucifixion; and the
conversion of Saul of Tarsus. Additionally the "criterion of embarrassment"
suggests low intrinsic probability of evidence such as the reports of women
being the last to leave Jesus' side and the first to discover his tomb empty. In
other words the facts bearing on the case extend far beyond the mere "testimony"
of the Gospel writers and the apostle Paul. The probability of all that
evidence taken together, had Jesus not
risen from the dead, must be extremely low; that being the case the explanatory
power of the resurrection hypothesis is proportionately high.
Next consider P(R│K), the prior probability of the
resurrection. To hear skeptics, this number must be "vanishingly small,"
in that the resurrection runs counter to the laws of nature. But a couple of
observations weaken that suggestion. First, the custodians of the scientific
enterprise, those who inform us about the laws of nature, are human beings. By Hume's
own estimation, merely being people is
enough to make scientists and skeptics susceptible to dishonesty and delusion. Second,
given the history of science, in many cases we cannot be entirely certain just what the laws
of nature actually are or what they forbid (let alone how well they hold up
against supernatural power). Quantum mechanics and general relativity, for
example, are two of the best-confirmed scientific theories of our time, yet at certain
points they become incompatible; so the search for a coherent theory of quantum
gravity continues.
Men do not often rise from the dead. But neither does
life often originate on earth. Life emerges only as it reproduces
"after its kind," as Genesis memorably says it. On a frequency interpretation
of probability the laws that prevent life from originating on earth would have
to be just as inviolable as the laws that prevent men from rising from the dead
(neither event has been confirmed in modern times). Yet here we are. Perhaps
miracles are not so "improbable" after all. Indeed if God exists and
decides to perform a miracle, the prospect of a miracle becomes neither probable
nor improbable, but absolutely certain. It seems reasonable to suggest, then, that we are
in no position to determine just how probable miracles or resurrections are
generally. In that case it seems to me (though I'm not committed to this) that we could leave out prior probability and merely assess
the explanatory power of the resurrection, which as I have argued is quite
high.
Despite all this the skeptical approach is typically to
tear the resurrection out of its historical context and restate it as simply "the
probability of a man rising from the dead." Granted, the probability of you,
or me, or the average man on the street rising from the dead would have to be
negligible. But the facts of the case have to do with a man who claimed exclusive
divine authority, who convinced multitudes that he was the Son of God, who was
widely reported performing miracles of healing and exorcism, who predicted his
own crucifixion and resurrection, and finally, who somehow disappeared from his
tomb. However improbable a resurrection may be generally, clearly the resurrection of Jesus of Nazareth is much
more probable than that of most men. If that is true, then Jesus' resurrection cannot
be, as some philosophers imagine, "as improbable as anything possibly can
be." At worst it leaves the issue unresolved, in which case Paul's
question to King Agrippa at Caesarea remains pertinent today:
"Why should it be thought incredible… that God
raises the dead?" (Acts 26:8)
Comments
I do know that it's common for skeptics to employ a Bayesian version of Hume's argument to render the resurrection extremely doubtful. I see my job as an apologist to answer such arguments and therefore dispel some of the doubts.