>Deliberately altering the model to produce equal results despite unequal patterns in reality is not the elimination of bias, it's introducing bias. Statistici

>Deliberately altering the model to produce equal results despite unequal patterns in reality is not the elimination of bias, it's introducing bias. Statisticians refer to this process as "controlling for confounding factors." What really matters is what questions you're asking. Data is too often abused, not always intentionally, by people with vague questions.