Originally posted by Lanakila
New traits possibly. Fish fins becoming legs is another thing entirely. Dembski didn't prove that in the book I read by him, can you site the source for that, because from what I read of his work I get the polar opposite of what you just stated.
Why is fins becoming legs another matter? It is simply an
accumulation of new traits.
What Dembski wrote in
No Free Lunch is
""Suppose that an organism in reproducing generates N offspring, and that of these N offspring M succeed in reproducing. The amount of information introduced through selection is then -log2(M/N). Let me stress that this formula is not an case of misplaced mathematical exactness. This formula holds universally and is non-mysterious. Take a simple non-biological example. If I am sitting at a radio transmitter, and can transmit only zeros and ones, then every time I transmit a zero or one, I choose between two possibilities, selecting precisely one of them. Here N equals 2 and M equals 1. The information -log2(M/N) thus equals -log2(1/2) = 1, i.e., 1 bit of information n is introduced every time I transmit a zero or one. This is of course as things should be. "
Now, look at natural selection.
Always more individuals are born than survive or reproduce. Therefore N is always greater than M. By the equation, information can only increase. Let's do a few calculations:
1. In a population, there are 4 offspring born but selection eliminates 3 and only one reproduces. So we have N = 4 and M = 1. -log(2) (M/N) = -log(2) (1/4) = -(-2) = 2. We have
gained 2 "bits" of information in this generation. Selection does increase information.
2. Let's take a more radical example. An antibiotic kills 95% of the population. So we have 5 bacteria that can reproduce out of 100. N = 100, M =5. -log(2) (5/100) = -log(2) (.05) = -(-4.3) = 4.3. Now information has
increased 4.3 "bits". The more severe the selection, the greater the increase in information.
3. Let's take a less severe example. A selection pressure such that of 100 individuals, 99 survive to reproduce. -log(2) (99/100) = -log(2) (.99) = - (-0.01) = 0.01.
So now we have only an increase of 0.01 "bits" in this one generation due to selection. But remember, selection is cumulative. Take this over 1,000 generations and we have an increase of 10 "bits". Now, Nilsson and Pelger have estimated, using conservative parameters, that it would take 364,000 generations to evolve an eye. D-E Nilsson and S Pelger, A pessimistic estimate of the time required for an eye to evolve. Proceedings of the Royal Society of London, B. 256: 53-58, 1994. Taking that over our calculations shows that the eye represents an increase of 3,640 "bits" of information.
The eye calculations apply to your fin to leg transition, also.
One of the things molecular biologists and cell biologists are recognizing is just how complex the signalling and control mechanisms of the cell are. Evolution explains this. There is no way to
remove information under natural selection. You can only add. So each time the cell needs to change any metabolism, it must
add a new control level.
If there really were an ID, then the cell would be much
simpler because the ID could go back to an earlier setting. But evolution can't do this.
As a macro example, embryonic birds develop teeth, only to have them resorbed before birth. Why? Because the ancestors had teeth and natural selection can't make things simpler, so it had to add another process -resorption of the teeth.