Congressman Kevin Brady from Texas distributes this visualization of reformed health care in the US (click for a bigger picture):

Here’s a PDF at Brady’s page, and a local copy of it.

Complexity has its costs. Beyond the cost of writing it, learning it, following it, there’s also the cost of checking it. John Walker has some funny examples of what’s hidden in the almost 8000 pages of IRS code.

Text mining and applied statistics will solve all that, hopefully. Anyone interested in developing a pork detection system for the legislation? Or an analysis of how much entropy to the legal code did each congressman contribute?

There are already spin detectors, that help you detect whether the writer is a Democrat (“stimulus”, “health care”) or a Republican (“deficit spending”, “ObamaCare”).

D+0.1: Jared Lander points to versions by Rep. Boehner and Robert Palmer.