Whether psychological or not, it seems to work.
My son, Dylan, completed his first ever science project last year.
We plotted the data on a bar graph and there was an increase from 505" at 1 inch from the end of the barrel up to 4 inches in and then there was a steady decrease down to 240" at 12 inches in from the end.
None of the projects we found appealed to Dylan.
Richard Berk, a University of Pennsylvania statistician, said the most widely used tools are “a generation behind a lot of the developments that are going on in computer science and statistics.” Berk has been at the national forefront of efforts to bring risk assessment into the modern era. He has developed assessment tools that use a more advanced statistical discipline known as machine learning. In essence, Berk feeds a huge amount of data into a computer and lets a program figure out which variables matter and how much. He argues that his approach generates predictions that are both more accurate and more finely tuned — distinguishing, for example, between violent and nonviolent crimes.
Our towns' population is only about 15,000.
He recently had his 5th Grade Science Fair project and having just recently moved him from a failing local Catholic school, this was the first Science Fair he ever experienced.
This year I would like to take my project to the next level.
A probation officer in Ohio said he regularly deals with the practical challenges surrounding risk assessment in the community-based correctional facility where he works. The facility houses felons who are given one last chance to straighten out — if they reoffend, they can be sent to state prison. Residents are sentenced to four- to six-month stays and receive counseling, addiction treatment, and educational and vocational training.