How Will Big Data Change Gerrymandering? Both Parties Are Eager To Know What You Do Online
Summary
When you exit the Pennsylvania Turnpike just north of Pennsylvania, on Main Street in working-class Norristown, you’re in the overwhelmingly Democratic 13th congressional district — at least for a couple of miles. The help-wanted signs are in Spanish; people walk past the Premier Barber Institute, bail bondsmen, and the 99-cent stores wearing branded short-sleeve shirts from their chain-store jobs.
But come around a corner and up and hill and suddenly the neighborhoods turn leafy and green. Suburban-looking dads walk large dogs with flowing tresses. The houses are lovely and set back from the road. This three-quarter-mile stretch is in one of the nation’s most infamously gerrymandered districts, Pennsylvania’s reliably Republican seventh, a one-time swing district so wildly drawn that it resembles Donald Duck kicking Goofy. Signs warn drivers not to tailgate.
…
Meanwhile, Stanford professor Nate Persily, a nonpartisan constitutional law and voting rights expert who has drawn court-ordered maps in many states, suggested that the truly valuable information for redistricting does not come from a web browser.
“I don’t think this level of individual data makes any difference for the redistricting process,” he said. “The coin of the realm is political data at the census-block level. Most of this can be garnered from precinct-based election results, sensibly broken down according to various algorithms.”
Read More