The consequences of data manipulation in toxicology can be severe, impacting both scientific credibility and public health. For instance, manipulated data can lead to incorrect risk assessments, resulting in either the unnecessary restriction of safe chemicals or the approval of harmful ones. This can undermine public trust in scientific research and regulatory bodies, ultimately affecting policy decisions and public safety.
