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Furthermore, the stability of cracked software is always in question. "Ghost" bugs—errors caused by the cracking process itself, rather than the software code—can produce erroneous statistical outputs. In the world of data science, an incorrect p-value or a corrupted regression coefficient is not just a technical error; it is a scientific failure. Using cracked software introduces a variable of uncertainty into the very results the researcher aims to verify.

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