Metrics

There are many decisions made in this world that are based on very subjective points of views and opinions. 

The decision to attend college, or what to 'do when you grow up' should not be based on pure feeling and luck.  Your opinion matters but its not going to get you to the best place in life.

Many career paths are muttled with failure and wrong turns.  If you happen to be on a career path to a passionate dream and you are willing to work at all costs, that dream can become a reality.

If you're like most of us, a career is something you do, and made a limited choice to attempt to do while in college, not something you are.  Now that veers to another blog in another category of what one is and how to define that? But for this time and this place of wasted internet space, the choice is the ultimate answer.

I do have aspirations to create an entire life expense book but my 'passion', out of strong hatred is student loans.

Now, while racking up more student loans I received my MBA from a small Pennsylvanian school most likely not known outside of the tri-state.  There was a certain professor, who like all influential teachers one meets throughout their educational journey, made an impression, an impression that I should have understood and recieved prior to my secondary educational experience.  As I had not recieved this type of tutelage, I learned of a decision making process using solely metrics, and making that gut feeling, guess of a decision, one with numeric value, supporting the side chosen or not.

Using statistical evidence, and a linear regresion program, I believe it would be possible to map out an educated guide to life with specific emphasis on the 'Student Loan Decision'.

Locating, and expensing, the statistical program may be difficult but I, as well as openly recommending, plan on reading the school book I failed to open, Smart Data by James Rodgers.

Statistical evidence is the only basis one can know a more informed decision was made.  And when it comes to life, and student loans, we cant afford to be wrong.