  This work proves that ranks and shares are statistically dependent on one
another, based on simple combinatorics. It presents a formula for rank-share
distribution and illustrates that Zipfs law, is descended from expected values
of various ranks in the new distribution. All conclusions, formulas and charts
presented here were tested against publicly available statistical data in
different areas. The correlation coefficient between the calculated values and
statistical numbers provided by Bureau of Labor Statistics was 0.99899.
Monte-Carlo simulations were performed as additional evidence.
