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34 of 42 people found the following review helpful:
5.0 out of 5 stars
The Watchmaker has perfect eyesight !, June 16, 1999
By A Customer
This books puts Neo-Darwinian Theory under the microscope of a rigorous quantitative critique. As the author points out, where facts and figures are important non-quantitative arguments can mislead. "Clever debaters have long shown that they can make even the weakest case look strong."Spetner quotes Fisher's conclusion based on the latter's quantitative work in population genetics: "A mutation, even if favourable, will have only a very small chance of establishing itself in the species if it occurs once only." In other words many favourable mutations which occur in individuals never get passed on to their populations. This is contrary to the assumption of Darwin, Dawkins and Dobzhansky. This problem is of course much more acute for small isolated populations. Using numerical data provided by evolutionary paleontologists from their study of horse evolution, Spetner computed one small evolutionary step to require about 50 million births. Ledyard Stebbins estimated that it takes 500 such steps to generate a new species. Assume each of these steps consists of establishing a single transcription error (the most trivial mutation available) in the population. Suppose only one in every million species needs to be successfully generated for NDT to work. Spetner calculated that it would require at least a million adaptive transciption errors. This does not take into account the fact that macro-evolution demands mutations which are not just adaptive, but which also contain novel information. This is a demand that evolutionists prefer not to discuss, as apparently not even a single such mutation is known to exist. It is extremely unlikely that a population's genome contains so much potential for adaptive errors, let alone information-enhancing ones. But Spetner goes on to demonstrate quantitatively that if there were, then they would provide such an enormous number of potential evolutionary paths as to rule out the possibility of convergent and parallel evolution, which are a major feature of NDT. So either way, NDT loses. Richard Dawkins' famous computer simulations come under scrutiny. They are doubtless clever, and fun to play with, but have little to do with the real world of biology. The `weasel' program is deterministic, not stochastic. Moreover, good mutations invariably get established in the population, and are frozen, the mutation rate is far too high, and the `genome' has far too few symbols. The same calculation mentioned earlier that shows speciation cannot happen under NDT also shows that the `weasel' algorithm will succeed in a relatively few trials. But "If he had run a more realistic simulation he would have been at his computer for a long time." The `biomorphs' program is equally irrelevant to the biology of the real world. Selection is artificial, based on the selector's whim with no predefined criteria; at any stage any mutation could be chosen as adaptive; there are no lethal mutations and hence no limit on the mutation rate. "Because of the way it's built, the simulation sidesteps the reason evolution doesn't work in real life." Spetner agrees with the `tachys' that the evolution that is observed to occur, i.e. micro-evolution, is effected by the action of recombination on regulatory genes, but he argues that these mechanisms require far too much precision and therefore micro-evolutionary changes cannot be random. One very important basic fact is that mutations are known to cause loss of information, while macro-evolution demands gain in information. "Just like a fortune can't be made by losing money, evolution can't build up information by losing it. Moreover before you can lose money, or information, you first have to make it." This is a problem that NDT advocates must honestly address. Evolutionists often make the bland assertion that a 5 billion year earth provides plenty of time for even for the most improbable events to occur. In doing so they often pull the wool over their own eyes. As an example, Richard Dawkins (The Blind Watchmaker) asserts that a hypothetical alien with a lifespan of 100 million years would not be surprised to be dealt an occasional perfect hand at bridge. He will "scarcely trouble to write home about it when it happens." This is an example of how a non-quantitative argument can mislead. Spetner assumed that this hypothetical alien played 100 bridge hands every day of his life! Even so the probability of his ever getting a perfect hand comes to less than two in a thousand million million! Anyone with a basic knowledge of probability theory can verify Spetner's result. The ICR newsletter Acts & Facts (June 1999) relates the following incident: One student related a recent incident when her teacher challenged the class: "If your car breaks down, could you open the hood, step back 20 feet, throw a wrench at the engine, and fix your car? No. But what if you threw the wrench one million times. Chances are you'd fix it." This is the kind of absurdity evolutionary thinking generates! That a treatise as specious as The Blind Watchmaker can be embraced with so much uncritical enthusiasm is symptomatic of such mental aberration. Needless to say there is far more to the book, and this review is only able to give a flavour of what is in store for the reader. You have to read the book itself to appreciate the full force of the arguments. Diehard evolutionists usually react to serious challenges to their cherished theory in two ways: ad hominem attacks on the challenger, and the hand-waving technique. However, intellectual integrity requires them to provide a detailed and rigorous scientific response to those challenges.
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