Statistical Relationships Involving Benford's Law, the Lognormal Distribution, and the Summation Theorem

Regarding Benford's law, many believe that the statistical data sources follow a Benford's law probability density function(1/xLn(10))when, in actuality, it follows a Lognormal probability density function. The only data that strictly follows a Benford's law probability density function is an exponential function i.e. a number (base) raised to a power x. The other sets of data conform to a Lognormal distribution and, as the standard deviation approaches infinity, approximates a true Benford distribution. Also, the so called Summation theorem whereby the sum of the values with respect to the first digits is a uniform distribution only applies to an exponential function. The data derived from the aforementioned Lognormal distribution is more likely to conform to a Benford like distribution as the data seems to indicate.