Cells are of the form Rate (X%) where:
- (for crashes) is the number of that type of crash divided by the kusage_hours
- (for kusage_hours) is just the number of kusage_hours
- (for crashes) is the percent that this week's number (not the rate) of crashes is vs. last week's number (not rate) of that crash
- (for kusage_hours) is the percent that this week's number is of last week's kusage_hours
Since crash rates are #crashes / kusage_hours a low (X%) in kusage_hours can result in an inflation of crash rates.
To estimate how much of an inflation, take a relatively-stable crash type (like P) and compare its (X%) to kusage_hours'.
As of yet, no model has been developed to do this properly, so YMMV.