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Evolutionary science isn't a closed book : Comments
By Hiram Caton, published 2/9/2005Hiram Caton argues as part of the debate on natural selection, maybe introduce intelligent design at tertiary level.
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A falsifiable theory is one that can be properly tested.
That’s the most basic definition. Now, let’s take evolution, and say: ‘Ok, if evolution is true, then the earliest fossils of man would have to be found in Africa, because according to evolutionary theory, that’s where man’s closest ape relative resides.’ If these fossils were found elsewhere, there’d be a huge problem for evolution. Lo, there they are in Africa!
Another example would be if we were to say: ‘Ok, if evolution were true, modern species would not be found throughout the fossil record from top to bottom (which they should be if all species were formed at one time at the very beginning of life on this planet). Instead, what we would discover is less and less evidence of modern species as we go deeper and deeper into the fossil and geological record.’ Guess what? We do! This is pattern both predicted by evolutionary theory and completely consistent with evolutionary theory. In fact, this is the only pattern evolutionary theory allows for. And there it is.
There are countless tests just like this (albeit more complicated) on evolution, and it always comes up trumps. The chances of this being a coincidence are astronomically small.
See, being falsifiable is about making predictions based on the theory and then testing those predictions on the real world. If the theory is false, the real world comparison would demonstrate that (hence ‘falsifiable’). But if the test does not contradict the prediction, then you’ve got yourself a strong theory. The more verified tests, the stronger the theory. Only one strong contradiction is needed to debunk the theory. Yet this has never happened to evolution, despite countless tests for over a century.
One can be compelled to believe a theory (like ID) simply because it can’t be proven false. This is not enough for science. One must be able to test the theory against existing data, which will either verify or contradict said theory. Make sense?