Neo-Darwinian Evolution

Review - Darwin's House of Cards

The widespread public acceptance of biological evolution in Darwin’s day was probably a product of the simultaneous faith in Progress. Darwin’s theory was accepted as readily as it was because it shared in the general belief that things were getting better. It’s not that the organisms themselves were being swept along, but that European and then American intellectuals believed that everything was improving. (256)

This is the way Tom Bethell ends his entertaining book attacking the reigning scientistic consensus of evolution. Darwin’s House of Cards is a fully up-to-date survey of the mechanics and effects of evolutionary theory — a theory which Karl Popper concluded was “not a testable scientific theory, but a metaphysical research program” (14).

As to the general optimism which provided the conditions for the enthusiastic acceptance of Darwinism in the middle of the nineteenth century, Bethell writes,

[A]s I hope to show in the following chapters, the science of neo-Darwinism was poor all along, and supported by very few facts. I have become ever more convinced that, although Darwinism has been promoted as science, its unstated role has been to prop up a philosophy – the philosophy of materialism – and atheism along with it. (20)

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A Review of "Darwin's Doubt"

Stephen Meyer has been a thorn in the side of dogmatic evolutionists for a good while now. He has worked as a geophysicist and has a PhD in Philosophy of Science from Cambridge. His previous book of nearly 600 pages, Signature in the Cell, dealt with the criteria for determining information, especially in the formation and function of cells. It went into some detail about so-called “Shannon Information,” which is most often the kind pointed out by evolutionists. Shannon calculated the mathematical relationship between information and probability, showing that the amount of information conveyed by an event is inversely related to its probability (less probability, more information). The trouble with Shannon’s theory was that it could not distinguish meaningful information from gibberish. The solution to that problem forms another part of the book. Meyer demonstrates that complex specified information has both very high mathematical improbability, while also being goal-centered.

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