In the absence of random and systematic errors, the average amount of student loans will equal to μ as shown below.  However, the real world data may not be μ.  Rather μ ± σ.  Therefore, the average amount is distorted by the standard deviation (σ).  The source of these distortions could have been caused by the 4 endogenous actors in the system as the Association has discussed in its BLOG.  Even the US lawmakers have admitted the existence of σ.  These are the proofs that σ does exist.  Hard evidences on the borrowers side also confirmed the problems.  Therefore, these issues cannot be denied any longer, and by anyone.

Systematic errors (SE) have distorted the student loans away from its population average amount by the factor of +σ minus errors due to randomness.  Distortion increases could have been caused by any factors, but systematic errors are one of the most damaging elements.  Letting these SE to occur is equivalent to pushing the current $1.5 trillions student loans to grow out-of control.

No analytics can cure for these type of errors for they may have been intentionally fed into the system by any of the players, or because moral is not in the equation when the decision or policy is made.