Resurrection: Extraordinary Evidence for an Extraordinary Claim

Author:   Nick Meader ,  Luke Ijaz
Publisher:   Resource Publications (CA)
ISBN:  

9781666783056


Pages:   286
Publication Date:   13 September 2024
Format:   Paperback
Availability:   Available To Order   Availability explained
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Resurrection: Extraordinary Evidence for an Extraordinary Claim


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Overview

The popular phrase, ""extraordinary claims require extraordinary evidence"" assumes all miracle claims have failed. If so, why waste time exploring the evidence for Jesus's resurrection? Nick Meader applies his background in statistics and psychology to explore Carl Sagan's catchy phrase. Should we assume that the laws of nature are all there is? Is Jesus's life, death, and resurrection consistent with expectations of the promised Messiah? Setting aside these questions can often leave us talking past each other. Considering these questions helps us make sense of the evidence for Jesus's resurrection. In these pages you'll find: -a Bayesian argument for Jesus's resurrection; -a multidisciplinary approach applying insights from biblical theology, psychology, philosophy, statistics, and religious studies; -a cutting-edge evaluation of psychological explanations for the evidence; -a novel argument for the existence of God.

Full Product Details

Author:   Nick Meader ,  Luke Ijaz
Publisher:   Resource Publications (CA)
Imprint:   Resource Publications (CA)
Dimensions:   Width: 15.20cm , Height: 1.50cm , Length: 22.90cm
Weight:   0.386kg
ISBN:  

9781666783056


ISBN 10:   1666783056
Pages:   286
Publication Date:   13 September 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Nick Meader is principal research associate at Newcastle University. He has a background in psychology and statistics and has published widely in these areas. His research interests include Bayesian modeling, worldviews, and psychiatric epidemiology.

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