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RE: Benford's Law
>Any thoughts about the use of Benford's law to ferret out faked data. (<A
>HREF="http://www.newscientist.com/ns/19990710/thepowerof.html">The Power of
>One</A> is a quick and dirty summary of its use.)
I don't think it is valid. In the sales example given, perhaps sales were
stable with a lower control limit of $85 and an upper control limit of $109.
That could give the pattern of sales figures first digits seen.
At Hanford, we write an average of 17 occurrence reports per month, and it
follows a c-chart (Poisson) control limits since August 1999. The monthly
data are: 18 18 25 18 9 16 17 24 19 11 19 13 21 14 19. Is
this falsified data?
About the only basis I can think of for such a "law" would be when data
cross over orders of magnitude. For example, if I had data uniformly
distributed between 40 and 500, then 100/460 would start with 1, 2, or 3,
and 110/460 would start with 4, but only 10/460 would start with 5 through
9.
If I conceive of randomly picking low ends and randomly picking high ends
for these ranges, it is conceivable that I would skew towards 1 as I
consolidate thousands of distributions together. Perhaps someone good at
computer modeling could perform this.
Steve Prevette
QA Engineer, ESH Radiological Compliance
Fluor Hanford, A Fluor Global Services Company
ASQ Certified Quality Engineer
steven_s_prevette@rl.gov
509-373-9371
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