 Despite significant progress in recent years, output from global and regional circulation models remain susceptible to biases that limit their direct use in climate change impact studies. To address these limitations, bias correction, BC, or the adjustment of model output to match observed data has become a common practice. However, current applications of BC methods can be questioned due to their lack of transparency and potential negative effects on model performance. This paper argues that BC should only be applied when there is evidence that it will improve the accuracy of model results and that it should be done in a manner that preserves the integrity of the model's physics. Furthermore, the authors suggest that more research needs to be conducted into the effectiveness of different BC techniques and their application to climate change impact studies. This article was authored by J. Liebert, K. Warickseggie, V. Wolfmeyer, and others.