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OverviewThe 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 DetailsAuthor: Nicholas Meader , Luke IjazPublisher: Resource Publications (CA) Imprint: Resource Publications (CA) Dimensions: Width: 15.20cm , Height: 1.80cm , Length: 22.90cm Weight: 0.553kg ISBN: 9781666783063ISBN 10: 1666783064 Pages: 288 Publication Date: 13 September 2024 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviews""Accessibly and engagingly written, Nick Meader applies his expertise in psychology and medical statistics to address the naturalistic alternative hypotheses concerning Jesus's resurrection in a way that will be helpful for many readers. Highly recommended."" --Andrew T. Loke, author of Investigating the Resurrection of Jesus Christ Author InformationNick 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. Tab Content 6Author Website:Countries AvailableAll regions |