original: Given these assumptions it is possible to calculate how often they can fail and to arrange the array to make data loss arbitrarily improbable.
simplifications: We are able to calculate how often they can fail and to arrange the array to make data loss arbitrarily improbable. Using this it is possible to find out how often they will fail and to create the array to stop those failures. Given analysis, it's possible to calculate frequency of failure and arrange the array to make data loss improbable. Beliefs make it possible to determine failure rate. They also allow for making data loss arbitrarily improbable. It is possible to calculate how often they can fail and to arrange the array so that data loss is not likely. Based on these ideas the failure rate can be determined. Then the array can be sorted to make data loss very unlikely. Based on these assumptions we can calculate how often they can fail and to arrange the array to make data loss arbitrarily improbable. With these assumptions, it is possible to calculate how much they can fail and to make arrangements so data loss is very unlikely. Using these assumptions one can calculate how often they can fail and to arrange it to make data loss unlikely. Given these assumptions it is possible to calculate how often they can fail and to arrange the array to make data loss arbitrarily improbable.