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While the Turing Normalizing Machine has not arrived at a single canonical model of normality yet (and possibly never will) some patterns have definitely emerged and are already worth discussing. For example, the bewilderment of a religious Jewish woman trying to choose the most normal out of 4 Palestinian children. The machine does not construct a model of normality per-se. To better explain how the prejudice algorithm works, consider the Google Page-Rank algorithm. When a participant chooses one of the random 4 profiles presented before them as ‘most normal’, that profile moves up the normalcy rank while the others are moved down. At the same time, if a profile is considered especially normal, it would make the choice made by its owner more influential on the rank than others, and vice versa. (via The Turing Normalizing Machine. An experiment in machine learning & algorithmic prejudice - we make money not art)