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The Randomization skill empowers researchers and data scientists to conduct unbiased experiments by implementing industry-standard allocation procedures. It provides structured guidance on selecting the right randomization method—whether simple, block, stratified, or dynamic minimization—ensuring that results are statistically sound and compliant with pre-registration and CONSORT requirements. By automating sequence generation and documenting allocation concealment, it helps maintain scientific integrity and reproducibility throughout the experimental design process.