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Gerrymandering/markov chain monte carlo.

  • 1.  Gerrymandering/markov chain monte carlo.

    Posted 08-28-2018 13:36
    for those interested,in current applications of statistics  in evaluating voting/gerrymandering,  the court (4th U.S. Circuit Court of Appeals Judge James Wynn) ruled that the voting districts in North Carolina had been gerrymandered. While I haven't (yet) been able to confirm that Moon Duchin (at Tufts) was a consultant - she organizes a workshop in metric geometry and gerrymandering), if you have the inclination, download the court ruling (~ 300 pages) and search for the "markov chain monte carlo" simulations used to demonstrate gerrymandering and  the "classic S shape " of a gerrymander. The expert consultant to the court was Dr. Mattingly (at Duke). the link to the decision   https://electionlawblog.org/wp-content/uploads/MDNC-Opinion.pdf

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    Chris Barker, Ph.D.
    Consultant and
    Adjunct Associate Professor of Biostatistics


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    "In composition you have all the time you want to decide what to say in 15 seconds, in improvisation you have 15 seconds."
    -Steve Lacy
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