Experimental design bias can occur when researchers inadvertently influence the outcomes of their experiments. For example, selecting specific types of nanomaterials or experimental conditions that are more likely to produce favorable results can skew data. This can lead to an overestimation of the benefits and an underestimation of the risks associated with nanotechnology.
