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Re-Examining the Statistical Methodology and Onomastic Claims of Gregor and Blais’ Argument from Name Popularity

Bibliographic Data

ID21447221
AuthorsJason Wilson (0000-0001-9208-6830, Biola University, corresponding author), Luuk van de Weghe (0000-0001-8710-503X, Independent Scholar, USA)
Year2026
Volume48
Issue3
Pages760-781
Publication date2026-03-01
Open AccessYes
TypeARTICLE
VenueJournal for the Study of the New Testament (JOURNAL)
Journal identifiersISSN: 0142-064X • E-ISSN: 1745-5294
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0142064x251377023
OpenAlexW4415154433
LanguageEN
References cited4

In 2024 Gregor and Blais published a JSNT article using two different statistical methods to conclude, contra Bauckham (2017), that selected Apocryphal texts and the Babylonian Talmud ‘do not correspond to the distribution among first-century Palestinian Jews statistically significantly worse than the distribution in Gospels-Acts’ and ‘the two corpora paradoxically align better in some respects’. In this paper, we show that the first method is statistically invalid, and the second is the wrong tool for the job. This is in alignment with the critique of Van de Weghe and Wilson (2024) and in support of their use of the chi-squared goodness-of-fit test which established name occurrences in the Gospels and Acts, as opposed to Gregor and Blais’s uniform, apocryphal, or Talmudic corpora, ‘fit into their historical context at least as well as those in the works of Josephus’ (p. 184). Regarding this historical context, helpful insights are provided by Gregor and Blais regarding potential distortions within the onomastic reference distribution, and this article suggests a way forward, addressing orthographic issues, sample biases, several problems with the implementation of Gregor and Blais’ inclusion criteria, and 87 new onomastic finds from ossuaries, ostraca, and documentary papyri that need to be incorporated into the lexicon. While Gregor and Blais raise legitimate concerns, several problems with their own onomastic datasets are also discussed

Argument (complex analysis) · Context (archaeology) · Popularity · Rank (graph theory) · Statistical analysis · Talmud · Authorship Attribution and Profiling · Names, Identity, and Discrimination Research

  • Data Analysis Using Regression and Multilevel/Hierarchical Models

    Open Access•Andrew Gelman, Jennifer Hill•Data Analysis Using Regression…•2006

  • Re-Examining Richard Bauckham’s Argument from Name Popularity in Light of Apocryphal and Talmudic Evidence

    Open Access•Kamil Gregor, Brian Blais et al.•Journal for the Study of the New…•2024

  • Name Recall in the Synoptic Gospels

    Open Access•Luuk van de Weghe•New Testament Studies•2023

Highly citedNo

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