Fair enough Sam. I again will state my position. Dr Schneider has written a computer simulation of random point mutations and natural selection. He has used information theory in order to derive this model. I believe that Dr Schneider’s mathematical model is a plausible simulation of this phenomenon. However, Dr Schneider used totally unrealistic input parameters in his single published case which gave a totally unrealistic rate of information gain by random point mutation and natural selection. Dr Schneider used this rate of information gain to estimate the amount of time it would take to evolve a human genome. When you use realistic parameters in his model, the rate of information gain by random point mutation and natural selection becomes so profoundly slow that not only do you lack the time to evolve a human genome, this model calls into question whether any fundamental gene or gene control system can evolve on a realistic length genome.
Sam, this is not a trivial debate. It requires knowledge of genetics, molecular biology, information theory (thermodynamics), probability theory and computer simulations. In addition, this debate is carried on in a highly charged political environment. But people on this forum are so friendly, it is a joy to carry on a discussion like this on this forum.
Thank you for that synopsis. The situation seems clear.
Life, showing evidence of common origins and long evolution, through an extensive fossil record, abounds.
A computer model of how life might have evolved, suggests this is either possible in the time available, or not possible, depending on input assumptions.
I agree the discussion is non trivial, but the conclusion seems simple enough.
If a model of reality is inadequate to explain reality, we need to fix the model, not reality.
If the second set of inputs are indeed more reasonable, then the program may be missing one or more accelerating effects, probably due to forced evolution due to competition, or major changes of evolutionary style , such as occurs with the replacement of the Ediacarans, or at the so-called Eocambrian "explosion".
It seems unrealistic to expect any model which simply tallies accumulations of point mutations in a single genome or phenotype, tested by a filter algorithm ,to model evolution as a whole.
It may model one, or several of many contributing processes.
Each change to every genome in existence affects the evolution of every other genome in existence, to a lesser or greater extent. In closely competing genomes the effect of a single improvement on genome A may far outweigh the effects of many accumulated mutations on genome B, because phenotypes A and B are either competing, or cooperating. What happens to creature A increases or decreases pressure on creature B., whether or not they share species (a meaningless distinction in early times anyway.) By the time we are looking at a tangled bank, the combinatorial feedback , I expect, will be beyond the power of any computer in existence today. We are into protein folding complexity levels.
.
No organism evolves in isolation and at present no computer can meaningfully simulate the interactions of whole ecosystems. We can't yet build a computer capable of solving a simple combinatorial travelling salesman problem.
We clearly cannot model the evolution of a planetary ecosystem- and any attempt to "evolve" a single genome in isolation is meaningless. Things don't evolve in isolation.
The mysteries of evolution and abiogenesis will be solved in the field, not in a computer.