Greetings:\n\nI am considering trying to use Benford and/or Zipf's law to detect\nfraudulent test results reported from a contracted agency.\n\nWhen researching methods of application, I came across the following\ncaveat:\n\n"Benford's law can only be applied to data that is distributed across\nmultiple orders of magnitude."\n\nIn our case, the acceptable range for test results is 7.000~7.999.\n\nWhat I would like to know is if I can simply scale the data\n(effectively subtract 7 and multiply by 100) and them apply Benford's\nlaw to analyze the remainder values? If I can, would the remaining\ndigits be considered as their original positions, or current? For\nexample, if the original value is 7.100 -> 100 does the "1" count as\nfalling in the first position or 2nd?\n\nAdvice and assistance appreciated!\n\nThanx!!