Understanding intersectionality allows tech organizations to see that the “halo” effect isn’t evenly distributed. For example, a straight white man in tech may get the benefit of the doubt more often, whereas a queer woman of color might almost never receive positive assumptions. This nuanced approach makes clear that policies must address more complex dynamics than simply “more women” or “more POC”—intersectional identities matter.
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