If a scientist's data fails to support their hypothesis, the next steps typically involve analyzing the data to identify potential sources of error or alternative explanations for the findings. They may revise the hypothesis based on the new insights gained and design additional experiments to test these new ideas. Additionally, the scientist might review existing literature for similar studies to contextualize their results and consider whether the methodology needs refinement. Ultimately, this process contributes to the iterative nature of scientific inquiry.
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