Greetings: I am considering trying to use Benford and/or Zipf's law to detect fraudulent test results reported from a contracted agency. When researching methods of application, I came across the following caveat: "Benford's law can only be applied to data that is distributed across multiple orders of magnitude." In our case, the acceptable range for test results is 7.000~7.999. What I would like to know is if I can simply scale the data (effectively subtract 7 and multiply by 100) and them apply Benford's law to analyze the remainder values? If I can, would the remaining digits be considered as their original positions, or current? For example, if the original value is 7.100 -> 100 does the "1" count as falling in the first position or 2nd? Advice and assistance appreciated! Thanx!!