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Was sollen wir tun? Was dürfen wir glauben? - bei DuEPublico ...

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406 GEROGIORGAKIS<br />

number which rather exceeds the value 4. And due to the principle of indifference Swinburne<br />

gives the value ½ for P (e | h & k) (≈ given that there is a God, it is as probable that we would<br />

possess our available evidence for His existence, as that we would not possess it). But then the<br />

value for the probability of God’s existence given the evidence is absurdly high: P (h | e & k) =<br />

P (e | h & k) • P (h | k) / P (e | k) ≥ 2, which leads Bayesian Theism as a whole ad absurdum.<br />

To fix the calculation, i.e. to avoid the absurdity of the likeliness of God’s existence given the<br />

total evidence <strong>bei</strong>ng assigned a value higher than one (i.e. P (h | e & k) ≥ 1), Gwiazda<br />

considers the option of abandoning the value ½ for P (e | h & k). So, if, by Gwiazda’s<br />

calculations, P (h | k) / P (e | k) ≥ 4 then, in order for the likeliness of God’s existence given<br />

the total evidence to approximate the value 1, the probability for our evidence for God’s<br />

existence to be available given God’s existence should be less than 25 per cent (i.e. P (e | h &<br />

k) < 0,25). This means that God would rather avoid to let us possess our available evidence<br />

for His existence. For one thing, the justification for such an assumption would be very<br />

debatable and suspect of <strong>bei</strong>ng ad hoc. Why would God do something like this? For another,<br />

the aforementioned justification would not be based on any generally accepted principle of<br />

inductive logic. But what is worse is that an ad hoc assumption of an at-most-25-per-centprobability<br />

by which God would let us have some evidence for His existence, would substitute<br />

Swinburne’s initial one-half-probability for the same state of affairs, a probability which was<br />

at least based on the principle of indifference. Since we feel justified to assume ad hoc that it<br />

would be rather unlikely (less than 25 per cent) for God to let us possess some evidence for<br />

His existence, there is not any particular reason why the atheist should not expect this<br />

likeliness or rather unlikeliness to be extremely low, say P (e | h & k) ≤ 0,00000000025, to<br />

make P (h | e & k) very low as well. If you do not care if your assumptions are ad hoc, you<br />

cannot very reliably argue that your opponent should care!<br />

Swinburne (2011) has argued against this criticism that the principle of simplicity is to be<br />

applied in comparing between explanatory hypotheses, not however between explanatory<br />

hypotheses and events. This means that P (h | k), despite its pertaining to a much simpler<br />

assumption, does not have to be much higher than P (e | k). Swinburne insists in the value ½<br />

for P (e | h & k), and gives the value 0,01/0,005 (= 2) for the ratio: P (h | k) / P (e | k), which<br />

results in the value 1 for P (h | e & k).<br />

Swinburne’s counter-argument against Gwiazda leaves much room for criticism. It<br />

presupposes a selective application of the principle of simplicity which can be easily<br />

considered to be ad hoc. Moreover, Swinburne’s insistence in very high values for P (h | e & k)<br />

fails to account for those facets of religious faith, which maintain that it would be rational to<br />

affirm God’s existence independently of how probable or improbable His existence is. Pascal’s<br />

Wager exemplifies this kind of religious faith. The history of religion has many examples of<br />

religious traditions to offer, which support Pascal’s line of argument. I propose to affirm a<br />

Bayesian Theism which supports Pascal’s line of argument. Among other things, Pascal’s line<br />

of argument can be analysed in terms of Bayesian probabilities and shown to be immune<br />

against Gwiazda’s criticism (cf. section 4 and 5).<br />

2. Gambling Odds in Bayes’s Theorem<br />

Gambling odds express the payouts from a bet on the occurrence of an event. The higher the<br />

likeliness of the event, the lower are the gambling odds for its occurrence. The lower the<br />

likeliness of the event, the higher are the gambling odds. For example, ideally, when an event<br />

is as likely as it is unlikely to happen, i.e. P (e) = 0,5, then the gambling odds for this event<br />

amount to 1/0,5 = 2. I.e. if one bets that the event occurs and this happens, then one doubles<br />

her stake.

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