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The second issue is . WatermarkZero aims for zero false positives, but natural language is inherently variable. A human writer might independently produce a string of “green” tokens purely by chance. For a low-entropy context (e.g., “The capital of France is ___”), almost any token is predictable, breaking the watermark’s randomness assumption. In high-stakes scenarios—academic misconduct hearings or news fact-checking—even a 1-in-10-million false positive rate becomes unacceptable when scaled to billions of daily documents. watermarkzero