Imposters in health research: a growing threat to data integrity Researchers conducting health studies increasingly worry about a quiet but serious problem: imposter participants. These aren’t misclassified data points from honest respondents. They are fraudulent entries or bots that masquerade as legitimate study participants, potentially skewing results, misinforming policy, and leading to questionable clinical decisions.…