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https://doi.org/10.32388/23020...
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Is Statistical Analysis an Appropriate Tool to Apply to the Alleged Bodily Resurrection of Jesus?

Authors: Stephen Smith;

Is Statistical Analysis an Appropriate Tool to Apply to the Alleged Bodily Resurrection of Jesus?

Abstract

In this assessment of the use of Bayes Theorem (BT) for ascertaining the probability of Jesus’ bodily resurrection, I argue that neither apologists nor sceptics succeed in making their case, since both work on a presuppositional basis, often entering improbable values into their BT equations. Although BT works well enough in many areas of ordinary life, it cannot be successfully applied to the resurrection of Jesus for which we have little reliable data by modern historical standards. In this paper I suggest that we might more fruitfully take an analogical approach, as secular historians often do, by comparing the Gospel accounts of Jesus’ resurrection with contemporary claims by some to have “seen” Jesus, of which Phillip Wiebe has gathered a useful collection. Should we find that these recent claims lack credibility in affirming the real presence of Jesus then, by analogy, the same may be true of the resurrection _par excellence_.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average