A statistical term describing a systematic influence which leads to consistent over- or underestimation of a true value. For example, if a researcher is studying the effects of two different drugs on the same disease and personally favours one, unless they have been ‘blinded’ to which patient is receiving which treatment, they may unwittingly produce bias in the results by regarding those treated with their preferred drug as being healthier.