Understanding the world is not a simple task.
Defining and coding reality into models and systems can reveal itself one
maddening exercise. The elements and components, which I call vertices, can be
extremely confusing. In fact, it’s only smaller systems inside the system of
reality that the knowledge of vertices can be applied without hints of
instinct.
The problem with those vertices is when we get
to deal with this other one merged with it, and we lose the track of previous
ones. It’s a matter of solving a Rubik’s Cube, and finding out strategies to
deal with next components without losing track of the already resolved.
In the case of tuning of musical instruments,
one string depends on other strings. In this particular case, the ambivalence
of vertices is not present. There are defined vertices, as there’s the note the
string is supposed to ring like, and all strings have their own notes. When one
learns to distinguish them, these vertices can more easily be mastered. This
problem with vertices is present in drawings too, when the actual vertices of
the picture have a distance between them, and if I adjust one, it unbalances
the other ones. If the consequences of dealing with vertices towards all others
isn’t minded, it’ll be an eternal game of errors slipping from our grip. This
is how the interdependence can be so frustrating and confusing.
The confusion I mean with dealing of vertices
can be mostly a matter of practice. Low skills lead us to be confused easily
with all similar buttons, interdependent strings, parallel roads and differing
techniques. But the increase of the skill leads to an increased memory towards
vertices to be dealt with.
