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2. Random transformation. Apply identical random orthogonal matrix to all vectors. Post-transformation, each coordinate independently follows Beta distribution approaching Gaussian N(0, 1/d) in high dimensions. This applies universally -- transformation creates predictable coordinate behavior.
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