Tuesday, February 3, 2015

The Short Split-Line Method

Im choosing to defend the Short Split-line method one of CGP's four gerrymandering solutions. This method works solely through the process of math and solving equations. Unlike the other three solutions, it does not leave any one person to draw the lines. Instead, it works through a process of math equations in which the shortest line splits up the districts evenly until the desired amount of ranges are made, as explained in the video.  I think this method would work the most efficiently because it would be impossible for the elections to ever be skewed by a person's own judgment. In the Congressional Redistricting packet we annotated, it brought up several cases in which districts were drawn in favor of certain candidates. This new method would help the incumbents problem as it mixes up the districts. I understand that at some point the math can end up working against the whole process and skew an election by the way it divided certain areas. However, this mathematical mistake will not cause controversy because, like I said before, the process is solely just math.
As we have seen from the Redistricting Game we played for homework the other night, it is not as easy as a job as some of us may have thought. The game involved problem solving, shape making, and certain requirements to be reached. As I played the game, I realized how difficult it was in creating districts that were not oddly shaped or strange looking. This is another reason I think the Short Split-line method would be one of the better methods mentioned in the video. It creates a simple, unbiased, and quick solution to the corrupt way of gerrymandering. If you are reading my post and still disagree with my point of view then watch the video Mr. Balanda posted for extra information on this method. It explains it in a rather simplistic way and makes it hard to argue of why it would not work.


1 comment:

  1. EXCELLENT post Sarah! I love that you referenced both the article and the game. I especially like that you did more than just play the game, instead you were able to analyze the process and apply it here. Well done!

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