On top of that, "regulation count" is not a natural category, since one regulation can specify an arbitrary number of things. If you replace A) No smoking and B) no littering with C) No smoking or littering, have you changed anything substantive? You have not.
Regulation complexity, of course, is a natural category, but it's hard to measure before the fact and doesn't lend itself to easily-applied "follow for a guaranteed reduction" rules.
I otherwise agree that the measure is too simple.
Washington D.C. may be where regulators work (though some of that is outside the District), but regulators are a very small share of the population. The vote in D.C. has little to do with regulators (it has a lot more to do with race, but even saying it was solely about that would be oversimplifying.)
The perception is that all these "horrible" duplications and inefficiencies exist.
The reality is that the duplications are actually slightly different business cases that are are difficult or impossible to generalize (it was easier to copy/mutate) and that seemingly irrelevant code has potentially far reaching and damaging consequences (oh, that was important?)
The essential problem is that we look at these individual lines of code instead of realizing that they grew as part of a dynamic system.
Refactoring code isn't a good analogy.
Try refactoring DNA.
It becomes quite tragic (or hilarious) when teams try to simplify such systems and instead end up breaking lots of business process that was ugly, but worked.
DNA/evolution is orders of magnitude more messy than that, but it gets things done more safely and efficiently than some refactoring efforts I've seen.
"Read My Lips: no new APIs!"
Check who the Trump campaign says is going to be leading the switchover of the EPA. I think I know where most of the slashed regulations are going to come from.
[1] https://twitter.com/harlanyu/status/165184504527462400/photo...
Of course you provide no reason at all except an unsupported assumption to believe that the size of the completely wrong thing that you cite is an indicator of unnecessary complexity, and the fact that you cite the completely wrong thing is a pretty good sign that you have zero knowledge of the domain from which to form a judgement.