Sure I have answered your question; you are just a poor misunderstood evolutionist that has been ganged up on by an annoying creationist.
So, once again you dodge the question? Why do you persist in misrepresenting my position, Dr. Kleinman, even after you have admitted to doing so in the past? Why do you act like that Dr. Kleinman? Just answer the question, please.
Oh, ganged up, really? I must have missed the gang. What did they look like? I hope they had cool colors and face paint and all that. Did they carry baseball bats and wear uniforms?
Have I asked you the following question? What were the components of the DNA replicase system doing before the DNA replicase system existed? In particular what were Gyrase and helicase doing before DNA could be replicated? This question relates to irreducible complexity.
Oh, sure you have. And I told you then what I will tell you now -- we deal with those issues once we have dealt with your example of HIV triple therapy. You proposed it. I still have yet to hear a straight answer from you about that issue. Does the data from every HIV triple therapy protocol demonstrate your contention that evolution is so slow that it could never have occurred in realistic time periods when resistance to triple therapy forms in both relatively lower potency protocols with 95+% compliance and strongly potent protocols with 80% compliance?
I did tell you I have the mathematics of evolution
Oh, good, then. I was getting a bit worried. What's that equation, now?
Now if you think that other mechanisms of mutation will alter this fundamental mathematical finding then why do the real examples of multiple selection conditions such as combination therapy for the treatment of HIV and TB, combination pesticides, combination herbicides and combination rodenticides demonstrate this same fundamental mathematical finding? Are these real examples of mutation and selection situations limited to random point mutations?
They don't under all treatment conditions, as has been shown you repeatedly. The prime factors determining the relatively rapid development of resistance depends on a combination of potency and variability within the treated population. If potency is so high that variability is kept to a bare minimum, then resistance will develop very slowly. If either potency is less intense or compliance is not complete -- both conditions permitting sufficient population size to allow enough variability -- then resistance develops relatively quickly. That is what the natural data show unequivocally. Any computer model must take each of these issues into account if it wants to describe the natural processes of resistance development -- progress by means of mutation and natural selection.
Let’s start with something simple. If a mutation is beneficial, it increases the fitness of a creature to reproduce. If a mutation is detrimental it reduces the fitness of a creature to reproduce. If a mutation is neutral, it does not affect the fitness of a creature one way or the other. Dr Schneider’s selection process is based on three selection conditions. Dr Schneider uses a weight matrix to simulate a binding protein. Dr Schneider’s simulation traverses this weight matrix along the genome and looks to see if there is a match to a threshold of this weight matrix. If the weight matrix does not find a binding site where it is expected, that is considered an error. That is one selection condition. If the weight matrix finds spurious binding site in the genome, that is considered an error. That is the second selection condition. If the weight matrix finds a binding site outside the binding site region, that is also considered an error. That is the third selection condition. Paul will sometimes talk of the spurious binding sites in the gene and nonbinding site region as a single selection condition. In that case, you have two rather than three selection conditions in the model. Selection is based on the half of the creatures with the fewest errors (mistakes) being allowed to reproduce with random point mutations occurring based on a rate specified. Once you understand this, we will talk more about what this mathematics shows.
Golly jeepers, Dr. Kleinman, I surely did know that you was a nice feller to go off and repeat all that mess that was already covered so well earlier.
Give me the equation, Dr. Kleinman. Stop pussyfooting around the issue. Inquiring minds want that equation.
Well, I have done populations up to 10^6
Really? Populations approximately 10^-3 lower than what I asked? How very nice. And under what conditions, with what selection pressures, with what error rates?
All the data we have on population shows that huge populations will not increase the rate of convergence sufficiently to make your theory possible.
Well that would appear to be a big problem for your argument. Because the real world shows that when populations are increased by limiting the potency of selection pressures resistance develops. You must excuse me for trusting reality.