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Discrimination Quote by Steve Sailer

“Statistics can’t measure equal opportunity, just equal results. The government starts with the assumption that if, say, employment rates diverge from population makeup by more than one-fifth, it’s the employer's obligation to disprove the presumption of illegal discrimination. In other words, the…” quote by Steve Sailer
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““Statistics can’t measure equal opportunity, just equal results. The government starts with the assumption that if, say, employment rates diverge from population makeup by more than one-fifth, it’s the employer's obligation to disprove the presumption of illegal discrimination. In other words, the feds’ message is: Impose quotas upon yourselves or expect to pay a fortune in legal fees.””

Steve Sailer

About This Quote

Source Article: “The Limits of Equal Opportunity Metrics”, The American Spectator, 2015

The quote argues that statistical measures of equality focus on outcomes rather than true opportunity, leading to government pressure on employers to prove non‑discrimination or face costly legal action.

In simple terms: Statistics show results, not fairness; government forces employers to prove they’re not discriminating.

Key Takeaway

Recognize the difference between outcome metrics and genuine opportunity.

Themes

equality law statistics employment policy

Mood

critical analytical skeptical

Type

policy commentary controversial

When to use this quote

  • human resources
  • legal compliance
  • policy analysis
  • public debate
  • academic research

Key Concepts

discrimination law statistical measurement quota systems

Questions to Reflect On

  • How do we measure true opportunity?
  • What are the risks of enforcing quotas?
A Different Perspective

The focus on outcomes can overlook systemic barriers that affect opportunity.

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