Keep it simple.
Ockham’s Razor, or the ”principle of parsimony”, basically states that “all things being equal the simplest explanation is the best.” When building an argument, the least number of foundational assumptions, the better. Ockham’s Razor is a nominalist position…meaning that reality is understood to be made of particular, known, named entities.
Ockham’s Razor serves as a guide for constructing scientific argument and provides a cornerstone in scientific thinking. In scientific predictive modeling, the simplest explanation recieves priority in investigation.
I tend to think of Ockham’s Razor as a method for building a scientific “proof”, much in the same way a proof is constructed in math or calculus. The foundation of your argument/hypothesis/theory must be built upon a progressive construction of knowable, empirical elements…. each built upon the other.