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What (who) is true randomness - definition
![Old Calendarist]] and True Orthodox Churches, until 2021](https://commons.wikimedia.org/wiki/Special:FilePath/Timeline of the main Old Calendarists and True Orthodox Greek Eastern Orthodox Churches (2021).svg?width=200 "Old Calendarist]] and True Orthodox Churches, until 2021")
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![Timeline of the main True Orthodox churches which came out of the [[Serbian Orthodox Church]], until 2022](https://commons.wikimedia.org/wiki/Special:FilePath/Timeline of the main schisms from the Serbian Orthodox Church (second quarter of the 19th century to 2022).svg?width=200 "Timeline of the main True Orthodox churches which came out of the [[Serbian Orthodox Church]], until 2022")
![''Zen of Alarm'', by David True, 1988, acrylic and ink on paper mounted on canvas, [[Honolulu Museum of Art]] (promised gift)](https://commons.wikimedia.org/wiki/Special:FilePath/'Zen of Alarm', by David True, 1988, acrylic.JPG?width=200 "''Zen of Alarm'', by David True, 1988, acrylic and ink on paper mounted on canvas, [[Honolulu Museum of Art]] (promised gift)")
Wikipedia
A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see if it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped-for randomness of potential input data can be verified, by a formal test for randomness, to show that the data are valid for use in simulation runs. In some cases, data reveals an obvious non-random pattern, as with so-called "runs in the data" (such as expecting random 0–9 but finding "4 3 2 1 0 4 3 2 1..." and rarely going above 4). If a selected set of data fails the tests, then parameters can be changed or other randomized data can be used which does pass the tests for randomness.
