  This paper describes an entropy equation, but one that should be used for
measuring energy and not information. In relation to the human brain therefore,
both of these quantities can be used to represent the stored information. The
human brain makes use of energy efficiency to form its structures, which is
likely to be linked to the neuron wiring. This energy efficiency can also be
used as the basis for a clustering algorithm, which is described in a different
paper. This paper is more of a discussion about global properties, where the
rules used for the clustering algorithm can also create the entropy equation E
= (mean * variance). This states that work is done through the energy released
by the 'change' in entropy. The equation is so simplistic and generic that it
can offer arguments for completely different domains, where the journey ends
with a discussion about global energy properties in physics and beyond. A
comparison with Einstein's relativity equation is made and also the audacious
suggestion that a black hole has zero-energy inside.
