A Bayesian Case for Jesus as God
Given that God (of some form) exists, how probable is it that Jesus was God incarnate and rose from the dead?
How to use this guide
This guide is built for a 45-60 minute small-group conversation about "A Bayesian Case for Jesus as God." Open with prayer, read the framing aloud, and use the questions below to surface what people actually think before you walk through the case. Aim for honest engagement over consensus.
Facilitator tips
- Read the lesson before the meeting; you do not need to be an expert, just a guide.
- Resist the urge to fill silence. The best discussions follow long pauses.
- When someone raises an objection you cannot answer, write it down and follow up next week.
- Close with a single takeaway from each member, not a doctrinal summary.
What we're studying
Probability-based reasoning strengthens the historical case: instead of treating miracle claims as automatically improbable, we ask what God (if any) would be likely to do and what kind of public evidence we would expect to see.
The case in brief
Swinburne's two-step argument: (1) If there is a God with the attributes classical theism ascribes to him, there is significant prior probability that he would become incarnate to reveal himself, identify with human suffering, and provide atonement. (2) The historical evidence for Jesus of Nazareth (his life, teaching, crucifixion, and purported resurrection) is exactly the pattern we would expect if such an incarnation occurred. When you plug both steps into Bayes' theorem, Swinburne concludes P(Jesus is God incarnate | total evidence) is high. The McGrews focus narrowly on the resurrection evidence and argue the Bayes factor is astronomical.
Argument structure
Conclusion: Given theism and the historical evidence, it is highly probable that Jesus was God incarnate.
- If God exists, God has reasons to become incarnate and provide public identifying marks.
- Jesus uniquely fits those expected marks: perfect life, profound moral teaching, claims to divine authority, and miracles.
- The resurrection functions as God's public "endorsement" of Jesus' identity.
- The Bayes factor for the resurrection evidence (creeds, witnesses, martyrdoms, empty tomb) is very large.
What if someone says...
"A priori reasoning about what God "would do" is speculative."
Swinburne agrees it is not deductive, but argues it is not zero either. Even modest prior probabilities combine with high likelihood ratios to yield strong posteriors.
"Naturalistic explanations (hallucination, legend, theft) can be combined to account for each datum."
Each naturalistic explanation lowers one Bayes factor but usually at the cost of another (e.g., hallucination explains appearances but not the empty tomb). The McGrews argue no disjunction of plausible naturalistic hypotheses matches the resurrection's explanatory scope.
Discussion questions
- If you assume God exists, does that change how probable a miracle becomes?
- Which of the resurrection data points would most shift your own probability?
- What evidence would count against the Bayesian case?
- [Small group] Where in your own life does this question feel most pressing?
- [Small group] Who do you know that wrestles with this — and how could you talk with them about it this week?
Going deeper
- The Resurrection of God IncarnateRichard Swinburne · 2003 · Bayesian historical Jesus
- Was Jesus God?Richard Swinburne · 2008 · Incarnation
- "The Argument from Miracles: A Cumulative Case for the Resurrection of Jesus of Nazareth"Timothy & Lydia McGrew · 2009 · Bayesian historical Jesus
- 1 Corinthians 15:3-8 (early creed)Paul of Tarsus · c. AD 53-55 · Pauline Epistles