Complexity vs. Simplicity
Simplicity is defined as “lack of nuance”.
Things seem complicated when there is a lot of nuance.
For example, mathematics is a notation designed for the 2D problem space of pen-and-paper (x,y).
Anything “more than 2D” requires mental gymnastics to map from “more than 2D space” to “2D-only space”.
That’s lots of nuance.
Only a select few people can perform this kind of mental gymnastics “in their heads”, leading the rest of the people to
- think that the domain(s) is “complicated”
- brand the select few with the label “smart”.
Computers work in 4D space - x, y, z, t1.
Programming would appear to be less-complicated if we used a 4D notation for programming.
See Also
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3D geometric space (x,y,z) and time (t). ↩