Editorial: Statistics and "The lost tomb of Jesus"
Stephen E. Fienberg

TL;DR
This paper discusses the application of statistical analysis to historical and religious archaeological finds, focusing on the East Talpiot tomb and the controversial claim linking it to Jesus, highlighting the role of statistics in such debates.
Contribution
It examines the use of statistical methods in analyzing archaeological inscriptions and evaluates the claims made about the tomb's connection to Jesus.
Findings
Statistical calculations estimate the odds of name combinations in the tomb.
The controversy highlights challenges in applying statistics to historical-religious questions.
The paper discusses the reliability and interpretation of statistical evidence in archaeology.
Abstract
What makes a problem suitable for statistical analysis? Are historical and religious questions addressable using statistical calculations? Such issues have long been debated in the statistical community and statisticians and others have used historical information and texts to analyze such questions as the economics of slavery, the authorship of the Federalist Papers and the question of the existence of God. But what about historical and religious attributions associated with information gathered from archeological finds? In 1980, a construction crew working in the Jerusalem neighborhood of East Talpiot stumbled upon a crypt. Archaeologists from the Israel Antiquities Authority came to the scene and found 10 limestone burial boxes, known as ossuaries, in the crypt. Six of these had inscriptions. The remains found in the ossuaries were reburied, as required by Jewish religious tradition,…
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