We now borrow an illustrative example from Landberg [623] , but we add a twist to this argument for the purpose of illustrating this discussion. Suppose we have a sender transmitting only two possible symbols (N = 2), and we will assume that we have the same probability, let's denote this as (1/2, 1/2). Then the average expected surprisal (Shannon Entropy), is H(X) = 1, and the Normalized Shannon Entropy is also equal to one. Assume now that now our sender starts to transmit using another symbol, so that we now have theoretical probabilities of (0.5, 0.25, 0.25). Then N = 3, and the average expected surprisal increases to H(X9) = 1.5 the Normalized Shannon Entropy is now 1.5/log 2 (3) = 0.946… (a reduction). This 'third symbol' could actually represent a new ''molecular species'' or a protein isoform that would not be normally expressed in that tissue type [624] , or even something entirely new, product of a mutational/deletional event. If our hypothetical high-throughput technology can only be detecting the first two symbols, and following the conventions we established in the 'Materials and Methods' section, we would be ''observing'' frequencies of (2/3,1/ 3) since the other events would not be detected with our equipment. As a consequence, the both the log 2 (2) = 1, Shannon Entropy and the Normalized Shannon Entropy are both reduced to 0.918293. Obviously, we can not count what we can not observe. As a consequence, a degenerating transcriptional profile that produces novel molecular species, and at the same time reduces those which we can not measure with a particular technology, would look increasingly more ordered.