Prejudice

You're seeing it when certain candidates are consistently screened out early for reasons unrelated to capability — "not a culture fit," "wouldn't work well here," or "doesn't have the right background" — without specific behavioural evidence supporting the claim.

You're seeing it when a team dismisses an entire customer segment or geography based on assumptions rather than data. "Those customers don't pay for software" or "that market isn't ready" often reflects prejudice masquerading as analysis.

Create evaluation rubrics for hiring, partnerships, and market entry that require specific evidence for each criterion. Rubrics don't eliminate prejudice, but they make categorical shortcuts visible and force evaluators to justify their reasoning with data rather than instinct.

Winfrey built a media empire by systematically reaching audiences that established networks had prejudged as unprofitable or uninteresting. The television industry's categorical assumptions about daytime viewers — their intelligence, purchasing power, and content preferences — represented institutional prejudice that Winfrey exploited as market opportunity. She didn't just overcome prejudice directed at her; she identified where industry-wide prejudice created gaps between assumed demand and actual demand. Her audience wasn't underserved because it lacked value — it was underserved because decision-makers applied categorical templates instead of examining the evidence. For founders, Winfrey's career illustrates that prejudice in an industry creates arbitrage: the markets others dismiss on prejudice are often the markets with the least competition.