Tai Chi Chuan journal #7

This one is hard to explain with words but I'll try. In Cloud Hands, the step to the left should result in a horizontal move, not a vertical one. We bend the right knee on the down, instead of moving onto it to the left. Essentially, it's an implementation of the "Don't move principle" in a particular situation.

(no subject)

equip: raw outcomes -> "empowered" outcomes.

equipping carries "expenses", such as learning, convincing others to learn, making, distributing, organizing, etc. we typically cover them under transaction costs (see Coase).

(no subject)

Today's movie is Julieta (2016), by Almodovar.

Quote of the Day: the impossibility of engineering decisions

As soon as the number of options to choose from is equal to or greater than three, and the number of criteria considered relevant is at least two, no satisfactory global decision function, in the sense of a function satisfying all five requirements mentioned, can be found.

--- Maarten Franssen. Arrow’s theorem, multi-criteria decision problems and multi-attribute preferences in engineering design. 2005. DOI 10.1007/s00163-004-0057-5

(no subject)

Хочу собаку.

http://www.sciencemag.org/news/2017/11/these-may-be-world-s-first-images-dogs-and-they-re-wearing-leashes

(no subject)

Let's forget about politics and consider the right to bear arms from a CT point of view.

Basically, providing a person with a weapon, e.g. a rifle, is an arrow (Functor) that maps the person from one "set"* of killing capabilities to a greater "set" of killing capabilities. Also, there are arrows that map the person between states "unknown guy", "good guy", "bad guy." Once the person is mapped to "good guy", s/he is upgraded to a greater set of killing capabilities.

The fundamental design flaw is that there's no arrow that un-equips a person when s/he intentionally changes state from "good guy" to "bad guy." Three most recent mass shootings exploit this bug in the system.

* I use "set" here to denote a category that can be mapped to sets of killing characteristics, e.g. killing X people at Y distance per minute for Z minutes.