Evolution as Myth (Part 2 of 5)

Though you may not have known it, and though you will be chastised for saying it, feel free to go here to find out that Evolution is not a scientific theory. As Henry, Dyke and Cruze point out ...

Science is usually defined by a process called the scientific method. Typically, this includes an observation about a natural phenomenon, a hypothesis formulated to explain it, and a test performed via a controlled experiment. If the test results are not as expected, the hypothesis may be revised and retested (feedback).

The problem(s) with Evolution as a scientific theory is that it is not predictive or falsifiable, at least in the sense that other scientific theories are. Science is the study of natural causes and effects. In other words, the only reason science works is because we observe phenomena, decipher how they occurred, and then, based on those observations, make predictions about how phenomena we observed should operate in the future. If we are correct, the phenomenon we are considering should be repeatable. If not, the theory can be falsified. But, as ...

Information theorist Mark Ludwig elaborates, “Darwin’s hypothesis … has the character of unfalsifiable philosophy: it can explain anything and predicts practically nothing… . Darwinism … requires belief… . It has become the scientist’s paradigm, and he is rarely able to admit that it is fragile and charged with philosophy.”

This is because Darwinism, by definition, is built on unpredictable randomness (as opposed to the predictable randomness of something like radioactive decay). In short, Unhindered by the predictability that defines other scientific endeavors, Evolutionists can explain everything they see after the fact, but not before.

"If an animal evolves one way, biologists have a perfectly good explanation; but if it evolves some other way, they have an equally good explanation… . The theory is not … a predictive theory as to what must happen."

Evolution is a form of mythology based on a level of unwarranted belief that must be in place before the data is analyzed. It is only after the fact that the theory is seen to be at work. The data is fit to the theory instead of the other way around -- and that is not the way real science is done.