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The Hidden Shift Problem is a concept in computer science, particularly in the fields of algorithms, machine learning, and statistical analysis. It refers to the challenge of detecting an unknown "shift" or change in the distribution of data that is not immediately observable. In a typical formulation, you have a sequence of data points, and at some unknown point in time, the underlying distribution of the data changes. The goal is to identify when this change occurs and potentially what the new distribution is.