Demonstrates data-level solutions to market inefficiencies caused by structural ambiguity, indicating a new approach.
Akerlof demonstrated that imperfect information degrades markets.This paper argues that much of this imperfection is structurally avoidable. By introducing Structural Data Ambiguity and demonstrating its elimination in non-organic domains through the CTMinfo framework, the paper proposes a shift from modeling uncertainty to removing it at the data level.
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Dmitriy Andriyanov (2026) studied this question.
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