Data interpretation bias is another significant issue. Researchers may consciously or unconsciously interpret data in a way that supports their hypotheses or desired outcomes. This is particularly problematic in nanotechnology research, where the properties of materials can be highly variable and dependent on numerous factors. Misinterpretation can lead to incorrect conclusions about the safety and efficacy of nanomaterials.
