Should liberal atheists find their Bayesian level of rational credence in the existence of God to go up because of the election of the pope? Should conservative theists find it to go down?
I do not anticipate that what follows
is going to have any significant effect on anyone's level of belief
or disbelief. It is only an exercise in treating the existence of God
as an empirical question. There is a wide ranging, if seldom enunciated, agreement that this question is empirical in one way or
another. The dissenters from this proposition are only the supporters
of Anselm's ontological argument or of the unmovable stone argument
and its siblings. Admittedly many theists think that God's existence
is an empirical matter of a special sort, decisively settled by
uncontroversial universally available evidence, e.g. the existence of
something rather than nothing, or just as decisively, if not
universally, by their own direct experience of God. For these people,
further evidence is irrelevant to the God question. For all the rest
of us, and for any of the foregoing willing to put their commitments
aside for the sake of argument, evidence from events in the world,
for example from miracles, might well have a bearing on God's
existence. This is an exercise in applying generally accepted
evidence handling methodology to one world event well covered by the
media.
Methodology: If you want to apportion
rationally the confidence you place in the truth of a given
proposition in the light of new evidence, you pretty much have to use
a formula of conditional probability associated with the name
“Bayes.” Thomas Bayes was a Presbyterian minister in England at a
time when Presbyterians were more popularly known as
“nonconformists.” He died in 1761, and would have to be placed
high on the list of those who could have had no idea how celebrated
their work would be by posterity. "An Essay towards solving a
Problem in the Doctrine of Chances” was unpublished and unknown at
Bayes' death. My Google of “Bayseian” just now produced 11.6
million results.
That you must use the Bayes formula if
you want your degrees of confidence to be coherent and rational in a
pretty plausible sense has been elaborated by Ramsey, de Finneti,
David Lewis, and Paul Teller. The details are a little technical, but
worth working through when you have the time.
Applying the Bayes formula, a large
number of people of skeptical and liberal frame of mind should have
their degree of belief (subjective probability, degree of confidence,
degree of credence) in the existence of God increased by the election
of Pope Francis.
A quick summary of pertinent facts:
those enfranchised for the papal election, were, by and large, a
conservative group. It would not be stretching things far to say that
Pope Benedict had packed the College with conservatives. Jorge Mario
Bergoglio, was a relative liberal, a reformer, and regarded as a very
unlikely choice for Pope. He was not even on the list of possible
candidates drawn up by expert Vatican watchers. Yet a supermajority
of two thirds of the cardinals voted on an early ballot for
Bergoglio, who became Francis. This wants an explanation.
One possible explanation is given by
Cardinal Schönbrom,
the Archbishop of Vienna, and himself possessor of the name most
mentioned as the likely successor of Benedict. “We were driven by
the Holy Spirit to this man – he was sitting in the last corner of
the Sistine Chapel: This man he is the chosen one.” Schönbrom
said that he had “at least two strong signs” that Bergoglio was
God's choice, and expressed confidence that the other voting
cardinals had experienced similar signs, and that this explains the
quick election of Francis.
It
is a traditional understanding in the church that when the conclave
functions properly it is the Holy Spirit that guides the outcome.
That is why the conclave is designed to exclude as much
outside influence as possible. If there is supernatural influence,
that should maximize its leverage. (Why an omnipotent God would need
special measures to increase his leverage will have to be answered by
careful deployment of the free will doctrine.)
It is important for one step in the
application of Bayes's theorem that Bergoglio was not just any
unlikely candidate. It has to be plausible that the Holy Spirit would
guide the vote in his direction. There is a natural reading of the
Gospels, especially of the sayings of Jesus, on which Francis seems
exactly the sort of pope whom Jesus might select, at least from among
the candidates available. He is a humble man, given to moderating the
splendor of the papal office and to seeing a common humanity across
doctrinal differences. What he is most known for is his compassion
for and ministry to the poor and oppressed.
One might try to make out of all this
an argument to the best explanation. The election of this very
unlikely, but arguably divinely favored, candidate cannot be
plausibly explained except by the intervention of God. Hence God
exists. That doesn't seem too bad as such arguments go. It is fair
game, however, in assessing an argument to the best explanation, to
take into account other circumstances in which the same explanans
ought to be appropriate if it is so in this case. This runs into the
difficulty that there have been so many popes in history that were so
very different from Francis. Some of these popes were
uncontroversially wicked, Alexander VI, for example, whether or not
the charge can be made good that he endorsed slavery. (This
counterexample, again, would be defended against by relying upon the
free will doctrine.)
In any event it is cleaner to retreat
from a demonstration by inference to the best explanation, and see if
the fact of Francis's election supports some increase in rational credence for the existence of God via Bayes.
Let me take as an example an only
modestly confident atheist, one who would grant that there is one
chance in a thousand that she is wrong on the God question. Perhaps
her subjective probability is not lower because she is aware of the
existence of many intelligent and sincere believers and the large
volume of testimony of God experiences. So .001 is her Bayesian
“prior.” Let us also suppose that she thought the election of a
humanitarian liberal to the Papacy if God does not exist would about
the same probability. That is, election of Francis without divine
intervention was, for her, also .001. Finally, as she reads the
Bible, the probability of intervention by God in favor of an
otherwise little regarded candidate who would emphasize ministry to
the poor and eschew the trappings of papal splendor was middling, say
.5.
Let us run her subjective probabilities
through the Bayes formula.
P(G/F)
= P(G) P(F/G)
P(F)
Her credence level for the proposition
that God exists given the election of Francis should be her prior
credence for God's existence times her estimate that Francis would be
elected if God exists divided by the total probability of Francis
being elected. Her estimate of the total probability of the Francis
election, in turn, should be its probability if God exists plus its
probability if God does not, each adjusted by her prior probability of
God's existence. So
P(G/F)
= P(G) P(F/G)
P(F/G)P(G) +
P(F/~G)P(~G)
Numerically
.001 * .5
.001*.5 +.001*.999
.0005 =
.36
.0005 +
.0009
So her
assessment of the probability that God exists should jump, on the
basis of the election of Francis, from one in a thousand to better
than one in three.
Of course the
degree of this affect will vary with the prior probabilities. It will
vanish altogether, indeed go the other way, if P(F/G) is very low
instead of very high.
The
conservatives who believed that if God exists there is very little
probability that he would permit a man like Bergoglio onto St.
Peter's throne should have found the credence of their belief in the
existence of God to decrease. Suppose our religious conservative is
as modest as our atheist, granting that there is one chance in a
thousand that he is wrong about the existence of God. (Perhaps he
finds it sobering that there seem to be sincere, intelligent
atheists, and that it is quite possible that he might be one himself,
had he been born into a different family, just as he might well have
been a Hindu, or Buddhist, and might well have been quite confident in
his religious beliefs in those possible worlds.)
The conservative
before the election should take the probability of Francis's being
elected if God exists to be very low
because God would not approve of Francis's liberalism. Suppose it is
also .001. Suppose he regards the election of Francis were there no
God to be .01. Politics happen. Again:
P(G/F)
= P(G) P(F/G)
P(F/G)P(G) +
P(F/~G)P(~G)
In this case:
.999 *
.001
.999*.001 +
.01*.001
.000999
= .98
.000999+.00001
So this
conservative's rational credence in the possibility that God not exist
should go from one in a thousand to 20 in a thousand.
More generally,
all those who acknowledge that Bergoglio was an unlikely selection
and that he might well be the candidate God would chose are rationally
required to increase the credence they put in the proposition that
God exists. Those who insist that Bergoglio was not at all the sort
of person that God would want for pope should have their rational
credence in God decreased by the election.
There are
exceptions for those who thought that the probability of God's
existence was a perfect 1 or a flat 0. It is a matter of definition,
of course, that someone with a credence of 1 in a proposition cannot
have it increased by additional supporting evidence, and a credence
of 0 cannot be reduced by new disconfirming evidence. More
interesting is that a 1 prior does not get reduced by negative
evidence or a zero prior increased by positive evidence. Look at the
formula to confirm this.
There is a
faction of theorists who believe that this treatment of limit priors
is a defect in the Bayes formula in its advertised role as mediator
of rational degrees of confidence. After all, sufficiently good
evidence should affect even the greatest certainty. Another faction,
led by Lindley, would say that credence of 0 or of 1 is never
rational.There is always a probability that one is mistaken – even
if it requires a vast number of zeroes or nines after the decimal
point to represent it. When doing Bayesian degree of confidence
calculations, the zero and one priors should be assigned only to the
unmovable dogmatists, and these have left rationality behind.
Lindley would
grant an exception for logically or mathematically true propositions,
but in this, I think, he is mistaken. Assuming for now that
mathematical truths depend in no way upon the state of the physical
universe, empirical evidence will have no bearing upon their truth.
This is a reason to call them “necessary.” Still, what we are
dealing with here is subjective probabilities, degrees of credence or
confidence. Empirical reality is very much involved when it comes to
our affirming of propositions mathematical. It is a matter of brain
functioning, and brain glitches are always possible. We readily
acknowledge that mistakes can creep in when we multiply 4 digit
numbers in our heads. As the calculation gets simpler, our rational
confidence in our results properly gets higher. When we get to
Kant's “5 + 7 = 12,” there is a temptation to say that the
probability of a mistake is zero. It is a temptation, however, that
should be overcome. There is always a probability, be it very, very
small, of very big malfunctions.
So, on my view,
there should always be an end to the 9s or the 0s following the
decimal point for any degree of confidence matter. The problem is not
the Bayesian treatment of the flat zero or perfect one, it is the
perfect one and flat zero themselves.
You may have
been waiting patiently through all these mildly technical details to
object that this is all silly. Perhaps the the election of Francis
had a small effect on a few fence sitters, but none on any theist or
atheist you know. I am wrong, you will say, not only about the
dogmatic atheists or theists. Even those that are open to evidence,
and who feel that Francis was a remarkably good or a remarkably bad
choice, will, you anticipate, sincerely report,after searching their
intuitions, that they can detect no difference in their pre-election
and post-election degree of belief.
What you imagine
is just what I would expect. Let me here confess that I tuned my
examples to make the
Bayesian updating dramatic. Truth to tell, it is unrealistic for an
atheist to go from a God credence of one in a thousand to 360 in a
thousand. Even the theist who went from 999 to 980 is a little hard
to believe. The reason for this, however, is that my examples are
outliers. Almost all atheists have much lower priors, and almost all
theists much higher.
For the atheist
with every zero you add after the decimal point to the prior, you get
an additional zero in the updated credence. So if the atheist of our
example had been of the 10 zero variety, she would still have ended
up with 8 zeroes. We have so little ability to navigate our
intuitions around very small numbers. We really don't know what the
difference between a probability of .000001 and .00000001 would feel
like. So we can anticipate the atheist who says that he finds no
intuitive difference in his subjective probability of God's
existence, post Francis. All I ask the atheist to assent to is that
there should be a positive increase in her degree of credence because
of the election of Francis, on all our assumptions, even if she
cannot detect that increase in her intuition of her before and after credence levels because of their imponderability.
Similarly, the
conservative, with the contrary belief about divine favor, should
concede that his rational credence is somewhat diminished, even if
that credence remains imponderably high. The imponderability of the
low probability of God for (most) atheists I argue is a significant,
if little commented upon, feature of the atheist's epistemology.
Symmetrically, imponderability is a feature of the very high degree
of credence of (most) believers. See post of Sep 10, 2014.
In addition, empirical studies show that people tend to update their subjective probabilities less aggressively than Bayes (and best practice) would counsel. We tend, in this respect, to be "conservative," which is also, no doubt, involved in the intuition of both atheists and theists that such evidence as the election of Francis or the 2004 Indian Ocean tsunami do not affect their belief.
In addition, empirical studies show that people tend to update their subjective probabilities less aggressively than Bayes (and best practice) would counsel. We tend, in this respect, to be "conservative," which is also, no doubt, involved in the intuition of both atheists and theists that such evidence as the election of Francis or the 2004 Indian Ocean tsunami do not affect their belief.
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