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Measuring partisan fairness

In: Political Geometry

Author

Listed:
  • Mira Bernstein

    (Metric Geometry and Gerrymandering Group (MGGG))

  • Olivia Walch

    (University of Michigan–Ann Arbor)

Abstract

What does fairness in the context of redistricting look like? Can you identify a gerrymander based on election results alone? In this chapter, two mathematicians examine a variety of metrics that have been proposed in the courts as tools to detect partisan gerrymandering and to quantify its effects. The takeaway is that most of these metrics can lead to counterintuitive results. They are also unstable: slightly different conditions can yield markedly different outcomes. Fundamentally, these metrics share a common problem: you cannot interpret them without the context of what is “normal” for a particular state, based on the geographic distribution of its voters.

Suggested Citation

  • Mira Bernstein & Olivia Walch, 2022. "Measuring partisan fairness," Springer Books, in: Moon Duchin & Olivia Walch (ed.), Political Geometry, pages 39-75, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-69161-9_2
    DOI: 10.1007/978-3-319-69161-9_2
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