Guys, as your scientific output is lacking at the moment, allow me to point you towards Benford’s law: http://en.wikipedia.org/wiki/Benford’s_law
Benford’s law, also called the first-digit law, refers to the frequency distribution of digits in many (but not all) real-life sources of data. In this distribution, the number 1 occurs as the first digit about 30% of the time, while larger numbers occur in that position less frequently: 9 as the first digit less than 5% of the time. This distribution of first digits is the same as the widths of gridlines on a logarithmic scale. Benford’s law also concerns the expected distribution for digits beyond the first, which approach a uniform distribution.
TSZ team: Can we build this into a statistically testable (Null hypothesis?) ID Hypothesis?
This one piqued my interest: