Five rules of normalization in one

Do you think that it is possible to represent the five rules of normalization in a single rule? 

Well, here it is:

"Store each data item with its determinant as the identifier in a record/table."

By data item I mean any data element consisting of a domain of values (which are surrogates of things in the real world), which are members of a population called by the name of the data item/element.

Determinant is based on a relationship between two populations.  If the members of one, say Y, are functionally dependent on the other, say X, then we say that X determines Y.  The functional dependency can be expressed as Y = Fn(X).   For example, if we had department as one population and employees as another, and we assume that an employee can work in at most one department (at a time), then there is a functional relationship between them:  Dept = Fn(Employee), that is, given a member of the employee population (ID) that determines a unique value for Dept, hence a function.  If there cannot be a Y without an X, then we have a functional dependency.

In a side note, the relationship could involve a single population, in which case we call it a reflexive relationship.  An example would be "is boss of" on an employee population.