Annoying Creationists
This debate we are having is not going to be settled with curve fits. It is going to require generating the data with ev.
I assure you, I do pay attention but I am addressing a lot of bloggers and might miss a point someone is trying to make. I don’t think this was one of those instances.
I don’t object to you playing “what if” games with ev. That’s part of the value of a mathematical model. You can ask the question, what size genome would be needed in order to evolve your binding sites in a time consistent with evolutionary theory? You can also consider what would be the mutation rate necessary for ev to support the theory of evolution but this is a long way from what Dr Schneider has published with ev. Like I have said from the beginning of these discussions, I believe that ev is a plausible model for random point mutations and natural selection and I don’t object to your using the model in the way you have suggested. However, don’t object when I use the results from this model to argue against the theory of evolution when you have to explain the 35,000,000 base substitutions on a 3 gigabase genome in 500,000 generations.
Good, there’s your target for ev.
No you didn’t post a curve fit for the mutation rate versus generation data however you were extrapolating by saying that you could run higher mutation rate cases and get linear proportional results for lower mutation rate cases but that is not reason I called you a sneak. It was over this quote that you made just previous to my calling you a sneak.Kleinman said:You think I would stoop so low to call you a sneak when you really aren’t? So why would you post one of your curve fits for a series of points when you know that the next point in the series would not even converge? So now you are a disingenuous sneak. I guess that makes me a dishonest liar. Hey joozb, does the grammatical rule of double negatives apply here?Paul said:I didn't post a curve fit for the mutation rate versus generations data, did I? Nor did I extrapolate in either direction, did I? I simply pointed out that, within a range that makes sense, the generations appear to be approximately linear in the mutation rate.
I guess you're not a liar. You just don't seem to pay attention.
The reason why I called you a sneak and why I won’t let you extrapolate this curve fit (g=7.8G^.98) beyond a genome length of 92k is that we both know you will not be able to get ev to converge a larger genome size for these input parameters because of your Rcapacity issues.Paul said:What extrapolations are you talking about?
Regarding population, we have run experiments up to 1 million critters and the generations to perfection keep on dropping. You won't let me extrapolate past 1 million, so on what basis to you claim that increased populations won't result in lower generation counts?
Regarding genome size, I've run experiments up to 92K genomes with population 36 and 1 mutation per 512 bases. The generations to perfection fits g=7.8G^.98. You won't let me extrapolate past the 100K genome, so on what basis do you claim that increased genome sizes would suddenly become exponential in generations?
This debate we are having is not going to be settled with curve fits. It is going to require generating the data with ev.
I assure you, I do pay attention but I am addressing a lot of bloggers and might miss a point someone is trying to make. I don’t think this was one of those instances.
Let’s see if I can put this in simpler terms. CPU times for runs of ev are a reflection of the rate of information gain.Kleinman said:It doesn’t take very large populations and genome lengths to make the memory requirements and cpu times to become huge with ev. Remember the good old days when you had 256 base genomes and 1 mutation per 256 bases per generation mutation rates and when the run times were about 5 seconds? Those were the days when a superficial analysis of ev showed the theory of evolution was mathematically true.Paul said:This is so convoluted I'm not sure what to call it. I guess it's "proof by enjoyment of fast simulations."
Beleth thought I was throwing rocks through the windows of the half finished evolutionary mansion. I told him I was only throwing mathematical data. I’ll make sure the super computer is not connected to any nuclear warheads.Kleinman said:You have thrown down the gauntlet and I accept your challenge. May I suggest super computers at 10 paces?Paul said:I decline. You'll have to prove your extrapolations peacefully.
I don’t know how many fundamental mechanisms there are. What I do believe is that every base change is subject to natural selection and therefore the transformation of one fundamental mechanism to a different mechanism requires a path that always selects for that organism. Any harmful mutation in that path will select against that organism and any neutral mutation will not increase the frequency of that genetic sequence in the gene pool. I see a logical and mathematical problem with this concept.Kleinman said:If joobz wants to believe that there were life forms with genome lengths much small than exist today that could sustain mutation rates much higher than living things are able to now, he is free to believe this, however he has no scientific evidence to back this up.Paul said:But, you see, if the genomes were a few orders of magnitude smaller, then the mutation rates didn't have to be higher. There is plenty of time for things to happen.
Now it seems obvious to me that early genomes were much smaller. Why? Because there is no way everything could evolve at once. First there had to be a few functions, then more, then a few more, and then duplications allowed the repertoire to expand significantly. I'd be willing to bet that there were no more than a couple hundred fundamental mechanisms from which the rest evolved by duplication and divergence.
You might as well accept this hypothesis, since you don't believe that anything important evolved anyway. So what the hell, why not?
I've run 92K genomes in 700K generations with a mutation rate of 1 mutation per 512 bases. If we slow the rate by a factor of 200, to 1 mutation per 100K bases, then the generations becomes about 140 million. Heck, let's say 300 million. No problem. And that was with an absurd population of 36.
I don’t object to you playing “what if” games with ev. That’s part of the value of a mathematical model. You can ask the question, what size genome would be needed in order to evolve your binding sites in a time consistent with evolutionary theory? You can also consider what would be the mutation rate necessary for ev to support the theory of evolution but this is a long way from what Dr Schneider has published with ev. Like I have said from the beginning of these discussions, I believe that ev is a plausible model for random point mutations and natural selection and I don’t object to your using the model in the way you have suggested. However, don’t object when I use the results from this model to argue against the theory of evolution when you have to explain the 35,000,000 base substitutions on a 3 gigabase genome in 500,000 generations.
Paul said:All hail the great Pelagibacter ubique. Free living. Only 1,354 genes. A mere 1,308,506 base pairs. And there are an estimated of them in the oceans. No pseudogenes, extrachromosomal elements, transposons, or introns. You gotta love this little fella.
Good, there’s your target for ev.