The term bias originated in the 1520s, "oblique or diagonal line," from French biais "a slant, a slope, an oblique," also figuratively, "an expedient, means" (13c., originally in Old French a past-participle adjective, "sideways, askance, against the grain"), a word of unknown origin.

Bias in surveys is common and tends to skew the results towards an oblique line. Bias often occurs when the survey sample does not accurately represent the population. There are three types of bias; information bias, selection bias, and confounding. The important part of surveys is to reduce/eliminate bias so the results are true and enable better decision making. Reduce bias in surveys by asking open ended questions, anonymity, remove branding, and use artificial intelligence. Reducing bias in all we do is difficult. Reducing bias in surveys is a strong objective to achieve desired results.

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Anonymity, tending towards the unknown, representation