A language model experiment's results were refined and predictions preregistered following critical feedback from readers who identified experimental design flaws. The community helped isolate the 'anchoring effect' of prompts and established a more rigorous protocol for testing AI models, ensuring predictions were frozen before API calls. This collaborative process led to a more robust and scientifically sound experiment.
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