The cause of this Kurzweilian anthropogenic entropy acceleration is rooted in the Darwinian behavior of individuals as well as entire societies. Specifically, our global civilization is entropicizing our planet at a rate of at least 1023 times greater than the average universal entropization rate. These random keys are generated based on specific information from some predefined sources. This expanded manuscript provides further examples of Shannon information content in simple binary systems, additional quantitative examples of the relationship between information and money, and an exposé on how the theory presented in may be viewed in the context of Big History. For example, in SSL communications, we generate a very large random number and utilize that to encrypt the communication. The primary purpose of this article is to provide additional quantitative examples to the recently presented work wherein a coefficient, a, relating the information processing rate, I, and the entropy production rate, S, of a system was introduced via I = a S. WIT Transactions on State-of-the-art in Science and Engineering.WIT Transactions on Biomedicine and Health.WIT Transactions on Modelling and Simulation.WIT Transactions on Ecology and the Environment.WIT Transactions on Information and Communication Technologies.WIT Transactions on The Built Environment.WIT Transactions on Engineering Sciences.International Journal of Transport Development and Integration.International Journal of Sustainable Development and Planning.International Journal of Safety and Security Engineering.International Journal of Heritage Architecture.International Journal of Environmental Impacts.International Journal of Energy Production and Management.International Journal of Design & Nature and Ecodynamics.International Journal of Computational Methods and Experimental Measurements.Electrical Engineering & Electromagnetics.

Entropy examples