Biometrika is a peer-reviewed scientific journal published by Oxford University Press for the Biometrika Trust. The editor-in-chief is Paul Fearnhead (Lancaster University). The principal focus of this journal is theoretical statistics. It was established in 1901 and originally appeared quarterly. It changed to three issues per year in 1977 but returned to quarterly publication in 1992. History Biometrika was established in 1901 by Francis Galton, Karl Pearson, and Raphael Weldon to promote the study of biometrics. The history of Biometrika is covered by Cox (2001). The name of the journal was chosen by Pearson, but Francis Edgeworth insisted that it be spelt with a "k" and not a "c". Since the 1930s, it has been a journal for statistical theory and methodology. Galton's role in the journal was essentially that of a patron and the journal was run by Pearson and Weldon and after Weldon's death in 1906 by Pearson alone until he died in 1936. In the early days, the American biologists Charles Davenport and Raymond Pearl were nominally involved but they dropped out. On Pearson's death his son Egon Pearson became editor and remained in this position until 1966. David Cox was editor for the next 25 years. So, in its first 65 years Biometrika had effectively a total of just three editors, and in its first 90 years only four. Other people who were deeply involved in the journal included William Palin Elderton, an associate of Pearson's who published several articles in the early days and in 1935 became chairman of the Biometrika Trust. In the very first issue, the editors presented a clear statement of purpose: It is intended that Biometrika shall serve as a means not only of collecting or publishing under one title biological data of a kind not systematically collected or published elsewhere in any other periodical, but also of spreading a knowledge of such statistical theory as may be requisite for their scientific treatment. Its contents were to include: memoirs on variation, inheritance, and selection in animals and plants, based upon the examination of statistically large numbers of specimens those developments of statistical theory which are applicable to biological problems numerical tables and graphical solutions tending to reduce the labour of statistical arithmetic abstracts of memoirs, dealing with these subjects, which are published elsewhere notes on current biometric work and unsolved problems Early volumes contained many reports on biological topics, but over