The Lives-At-Risk score aims to estimate the number of lives that would have been lost since the opening of a mine, in the absence of any inspections.

We decompose this into 2 parts: 1) The number of lives that have been lost, and 2) the number of lives that could have been lost.

We measure 1) using past accidents, and 2) using safety violations. We normalize safety violations according to their likelihood of occurrence, severity relative to fatality and number of people affected, as assessed by the Mine Safety and Health Administration inspectors.

Lives-At-Risk is then the sum of 1) and 2).

The IPython notebook for the calculation is now in the repo:

https://github.com/tmsgost/Bayes_Impact/blob/master/explorat...

The video on the analysis page explains it:

http://www.minedata.org/analysis/

We'll get the source scripts in git soon.