Annoying Creationists
http://www.ccrnp.ncifcrf.gov/~toms/paper/ev/truman/
The following are Dr Schneider’s responses to a critique of his paper Evolution of biological information by Dr Stephen E Jones.
The following is a response Dr Schneider made to a statement made by David Berlinski.
The previous statements are clear that Dr Schneider believes that ev simulates the real world. If the simulation is appropriate for small genomes then it is appropriate for large genomes. Macroevolution by mutation and natural selection is mathematically impossible.
So far, no one posting on this thread has tried Dr Schneider’s program besides Paul and I. You know that Paul put a lot of work into this model. Shouldn’t you at least do him the courtesy of at least trying out the model. I’m sure that it would please Dr Schneider as well if more of his fellow evolutionists would come to understand what he is has done.
Why don’t you post the data you used for your curve fit and why don’t you use your equation to predict the generations for convergence with a population of two million and then run the case with ev and see how accurate your extrapolation is?Kleinman said:Paul, I didn’t say that ev doesn’t show that population helps, what I said was that huge populations don’t markedly reduce the number of generations for convergence sufficiently to allow macroevolution to occur. In addition large populations contradict Gould’s concept of punctuated equilibrium which he said occurs in small sub-populations.Paul said:We don't know this, because we haven't modeled more than a measly million creatures. You won't let me extrapolate using that fitted curve, but if I did extrapolate to a lousy billion creatures, it would require 103 generations; to a trillion creatures, 21 generations. Of course, there is some asymptote it's approaching, although I haven't the slightest idea what that is. I think that is a sufficient reduction for macroevolution to take place. Wait, what was macroevolution, again? And how small is a small population of bacteria? Hang on, does punctuated equilibrium pertain to the evolution of an ancient mechanism such as genetic binding?
I’m not offering anything, it is Dr Schneider’s ev program that is offering up the data. Have you run any cases yet?joozb said:I really thought you had more to offer. I guess we know now.
Kleinman said:Ev and the basics of information theory.
The kinetics of this model is strongly dependent on genome size and mutation rate. The smaller the genome the faster evolution by random point mutation and natural selection occur. Dr Schneider’s single published case from his model used a genome length of only 256 bases. This is 2000 times smaller than the smallest genome of any free living organism. The mutation rate also strongly affects the kinetics of this model. I have done series of cases investigating how mutation rate affects the kinetics of this model and Dr Schneider used a mutation rate of 1 mutation per 256 bases per generation which is near the optimum value for the most rapid kinetics. This mutation rate is about 4000 times higher than the average mutation rate seen in prokaryotes. He used the kinetics from his single published case to predict the evolution of a human genome in one billion years. If you simply change his mutation rate to the realistic value of 1 mutation per 1,000,000 bases per generations, his estimate for the evolution of a human genome in 1 billion years becomes 4 trillion years. If you use a larger genome than 256 bases, his estimate becomes even more preposterous. This would be equivalent to you using the rate constant for an imaginary chemical reaction that is millions of times faster than any realistic chemical reaction and applying that rate to the realistic chemical reaction. There is no scientific basis for this type of arithmetic.Kleinman said:The Shannon definition for information turns out to be mathematically equivalent to the negative of the quantum mechanical definition for entropy. If one considers that entropy is the measure of randomness this relationship becomes intuitively apparent. Increasing the information in a system reduces the randomness and thus reduces the entropy. So how does this relate to genetic evolution. One of the basic problems of Information theory is to take an initial ensemble with an initial probability distribution to a final ensemble with a final probability distribution by the input of information. In other words, you take a more random higher entropy ensemble to a less random lower entropy ensemble by the input of information. When information theorist talk about 1 bit of information, they are saying that based on a single yes or no question, the answer to that question allows them to decide which ensemble has a lower entropy. The answer to the binary question allows you to reduce the entropy and therefore the randomness by 1 bit.joobz said:So you comment on the relationship between information theory and statistical mechanics. Your simply stating increased order(information) equals decreased entropy. So? Why does this matter to your kinetic arguement?
Kleinman said:Unlike many IDers who have criticized Dr Schneider’s simulation, I find his basic concept plausible. What I don’t find plausible is Dr Schneider’s use of unrealistic parameters. Dr Schneider used a genome length of only 256 bases (2000 times smaller than the smallest genome known in any free living organism) and a mutation rate of 1 mutation per 256 bases per generation (4000 times higher than the average mutation rate in prokaryotes) in his publication on ev. When more realistic parameters are used in the model, the rate of acquisition of information become profoundly slow as will unfold as the data from ev is presented. This rate of information acquisition becomes so slow that it shows that it takes hundreds of millions of generations to evolve less than 100 loci on a genome of only 100,000 bases. Point mutation and natural selection is a profoundly slow process. Far too slow to evolve a gene de novo.
Dr Schneider said the following about his code from the following URL:Kleinman said:joobz said:That's it? Um, again, Not enough time? THere are never situations where mutation rate changes? I'm sorry, the model is interesting in it's ability to show increased information with improvements in the binding site sequence. But you ignore, not all point mutations are created equal. Some loci are not as improtant as others (consider consensus sequences). You ignore insertion/deletion errors You ignore genetic exchange You ignore the ADMITTED limitations to the code presented
http://www.ccrnp.ncifcrf.gov/~toms/paper/ev/truman/
I do not ignore any of the other mechanisms that you mention. My contention has been from the beginning that ev show that macroevolution by random point mutations and natural selection is mathematically impossible when realistic parameters are used in the model. If you think that frame shift mutations, recombination, genetic exchanges or any other mechanism for altering a genome are more important than random point mutations, produce the evidence and a mathematical model that shows how these mechanisms can accomplish macroevolution. Or are you going to use your anything is possible scientific explanation? The theory of evolution remains without a mathematical foundation. The best model of evolution by random point mutations and natural selections shows that macroevolution is impossible by the mechanism it models.Dr Schneider said:A good simulation does not attempt to simulate everything; only the essential components are modeled. For the issue at hand, the form of the genetic code is not relevant; information measured by Shannon's method is more general than that.
And your idea of critical analysis is not to run any cases with ev and examine the behavior of the model and still jump to conclusions anyway. You don’t need much room to think when you don’t do any.joobz said:I'm sorry, you claim an understanding of engineering, but haven't exercised any of the critical analysis required in the disipline. As an engineer, you MUST know what a math model is and what it can and can not do. I don't want to believe that you are being delibertly missleading, but you are leaving me little room to think otherwise.
If you think that frame shift mutations are the main mechanism for producing new genes, produce the evidence, make a mathematical model and show how it happens. Again, inversions, duplications and recombination require existing genes. Ev shows the rate acquisition of information is so profoundly slow for random point mutations and natural selection that creating a gene de novo by this mechanism is mathematically impossible. Intra and inter species transfers still require an existing gene. How do you make the original gene? At least Dr Schneider put his ideas into mathematical terms. Your arguments may convince naïve grade school students and devout evolutionarians but they don’t constitute a hard mathematical scientific proof.Kleinman said:How do you get the original gene to cross-over or invert? You must still have some mechanism to create the original gene.fls said:Yes, and point mutation is one mechanism, but there are others (insertions, deletions, translocations, inversions, duplications...) in addition to genes from other organisms (intra- and inter-species).
Would you like to give some examples of errors in recombination that have created new genes? Then apply this mechanism in a mathematical model and show how macroevolution occurs by recombination errors. Of course this mechanism would not be very useful to prokaryotes.fls said:But new genes are not created solely by random point mutations. I mention other mechanisms above. And yes, recombination does usually refer to resorting alleles, but recombination with errors can effectively create new genes. And this is in addition to horizontal transmission of genetic material.
The following quotes were taken from Dr Schneider’s blog web page: http://www.lecb.ncifcrf.gov/~toms/paper/ev/blog-ev.htmlCuddles said:What you appear to be doing is using a computer simulation, of part of the real world, that is only valid within it's design parameters of single point mutations, to show that life could not have evolved this way, thereby showing that the theory of evolution is not correct. Since you are extrapolating the results outside the design parameters (ie. there are more factors than just point mutation), any results you get are completely meaningless since they are not valid in the real world.
The following are Dr Schneider’s responses to a critique of his paper Evolution of biological information by Dr Stephen E Jones.
Stephen E. Jones said:"Schneider's paper is misleadingly titled: "Evolution of biological information". But it is just a *computer* simulation. No actual *biological* materials (e.g. genomes of nucleic acids, proteins, etc) were used, nor does Schneider propose that his simulation be tested with *real* genomes or proteinsDr Schneider said:Actual biological materials were used to determine the original hypothesis. Read the literature: Schneider1986
Stephen E. Jones said:It only becomes *real* biological information and random mutation and natural selection, when the simulation is tested in the *real* world, using *real* DNA, proteins, with *real* mutations and a *real* environment does the selecting. It is significant that Schneider does not propose this, presumably because he knows it wouldn't work.Dr Schneider said:You are very bad at reading my mind, I have considered doing this experiment. Given the right conditions, it WILL WORK. Do you have th gumption to do the experiment yourself? That's the way real science works! FURTHERMORE, if you read the literature, you will recognize that related experiments have been repeatedly done for 20 years. Look up SELEX.
Stephen E. Jones said:In the rest of the paper he uses the single word "selection". I take this as a tacit admission that his model is not a simulation of *real* biological natural selection.Dr Schneider said:No. A rose is a rose by any other name. Selection is selection whether it be natural (generally meaning the environment of earth), breeding (by humans usually, though perhaps some ants select their fungi), SELEX or in a computer simulation. Of COURSE it is a simulation of natural selection! The paper would not be relevant to biology and would not have been published in a major scientific journal if it were not!
Stephen E. Jones said:Schneider lets slip that there is another unrealistic element in his (and indeed all) computer simulations in that it (they) "does not correlate with time":Dr Schneider said:So? Run the program slower if you want. Make one generation per 20 minutes to match rapid bacterial growth. THIS WILL NOT CHANGE THE FINIAL RESULT!
Stephen E. Jones said:Well, when Schneider's simulation is actually tested with *real* "life" (e.g. a bacterium), and under *real* mutation and natural selection it gains information, then, and only then, would "creationists" be favourably impressed. But if they are like me, they would already be impressed (but unfavourably) that Schneider does not mention in his paper that his simulation should now be so tested in the *real* "biological" world.
Stephen E. Jones said:Dr Schneider said:1. The simulation was of phenomena in the "real" world.
2. Dr. Jones is invited yet again to do an experiment.
The following is a response Dr Schneider made to a statement made by David Berlinski.
David Berlinski said:Where attempts to replicate Darwinian evolution on the computer have been successful, they have not used classical Darwinian principles, and where they have used such principles, they have not been successful.Dr Schneider said:The ev program disproves this statement since it uses classical Darwinian principles and was successful.
The previous statements are clear that Dr Schneider believes that ev simulates the real world. If the simulation is appropriate for small genomes then it is appropriate for large genomes. Macroevolution by mutation and natural selection is mathematically impossible.
Blame that quote on Frank Andrews. I got it out of his text Equilibrium Statistical Mechanics. He has a chapter in that text where he derives Shannon’s definition for information and then relates this to the quantum mechanical definition of entropy.Kleinman said:Ev and the basics of information theory. The Shannon definition for information turns out to be mathematically equivalent to the negative of the quantum mechanical definition for entropy.Tez said:Well in case anyone cares, this is untrue.
Dr Schneider’s model consists only of a single system A that starts out with an initial ensemble and probability frequency distribution. Information is added by random mutations and natural selection to take system A to a final ensemble and probability frequency distribution. There is no other system B in Dr Schneider’s model. Tez, have you even looked at Dr Schneider’s model or are you like joozb and jump to conclusions without examining Dr Schneider’s model? Not only do evolutionists carry the thin skinned crybaby gene, it appears they carry the jump to conclusion without examining the facts gene as well.Tez said:There is a big difference when we consider both A and another system B, and the (possibly correlated) states - call them "QR" - between A and B (i.e. correlated probability distributions in the classical case). The Shannon entropy on Q is always less than or equal to that on QR, for the simple reason that in classical information theory you cannot be more uncertain about Q than you are about the joint variable QR. But in the quantum case, in certain cases the opposite is true - the von-Neumann entropy of the joint system can be 0 while that of the individual subsystems is >0!
Tez, how did you figure out Dr Schneider’s model, telekinesis?Tez said:I wish I got a cookie every time I spotted someone invoking quantum mechanical things they do not understand in the hopes of gaining credibility for their ideas....
So far, no one posting on this thread has tried Dr Schneider’s program besides Paul and I. You know that Paul put a lot of work into this model. Shouldn’t you at least do him the courtesy of at least trying out the model. I’m sure that it would please Dr Schneider as well if more of his fellow evolutionists would come to understand what he is has done.