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Here’s a little case study on implicit bias:<\/p>\nHere’s a little case study on implicit bias:<\/p>\n
Warren Harding was the 29th President of the U.S.\u00a0 He is widely regarded now as one of the worst presidents in U.S. history.\u00a0 He wasn’t especially bright, and was at best a rambling speaker. As a senator, he was conspicuously absent for the debates on both women’s suffrage and prohibition, the defining events of his time.\u00a0 He never managed to distinguish himself politically, yet, in spite of this he became the Republican presidential candidate in 1920 and went on to be elected that fall. He served two years as a sort of dignified political vacuum before dying of a stroke.\u00a0 His only achievement was to father an illegitimate child with his mistress in a White House closet.<\/p>\n
But Warren Harding\u00a0looked<\/em> like he’d be a great president: he had the handsome face, the physique (he was tall and built), his hair was silvering in a distinguished way, he had a rumbling baritone voice.\u00a0 In every way he was the very image of a president, except that it was all window dressing. Behind the trappings was a man whose life revolved around drinking, golf, and illicit affairs with whatever compliant women he could find. Yet even in the face of his complete lack of suitability, people clung to the idea that he would be a good president.<\/p>\n This is the Warren Harding Error<\/strong>:\u00a0 when we make unconscious assumptions about a person or people and hang on to them even when presented with evidence to the contrary.<\/p>\n Implicit biases like this can be dangerous. We can assume things, positive or negative, that simply aren’t true or that are far more nuanced that we allow ourselves to admit, and because they are implicit and unconscious we may not even realize how those assumptions are affecting our behavior.\u00a0 Extensive research has shown that tallness in men translates to substantially higher salaries<\/a> than their shorter-but-equally-talented counterparts.\u00a0 Other research has demonstrated that white and black children with identical test scores do not have identical rates of referral<\/a> to gifted programs if both have white teachers. In the one case we give credit where credit may not be due, and in the other we withhold that same credit in the face of evidence that credit is<\/em> due.<\/p>\n Biases often change with awareness and education, but how do you become aware of something that is unconscious? That is nudging you in ways below your ability to perceive?\u00a0 We can check ourselves and our schools by carefully examining data: what is the ethnic make up of our GT program? Our SPED?\u00a0 What is the ethnic distribution of suspensions and discipline referrals?\u00a0 Does our cadre of teachers reflect the ethnicity of our students?\u00a0 \u00a0If any of these are slanted toward one or more groups, there may be some implicit biases at work. As auditors, we often see gifted programs with few children of color and SPED programs with too many children of color.\u00a0 Black children also comprise by far the highest rates of discipline referrals and suspensions, particularly black boys.<\/p>\n