Annoying creationists

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Annoying Creationists

Kleinman said:
Dr Schneider and all you other evolutionarians let it be known that the gauntlet is taken up officially on 2006 November 28. So Dr Schneider, come out from hiding under your blanket and stop making other evolutionarians defend your superficial analysis of ev.
Timble said:
He probably doesn't even know about your poncing around and posturing and it's all on "just another message board", so why should he care?
I’m sure Dr Schneider is aware of the arguments that I am making based on his model, since we discussed via email for a couple of months before I took these issues public but you are correct about my offer to take up the gauntlet, so I’ll email him the acceptance of his challenge.

I think now is a good time to respond to some of joozb’s kvetching. Joozb wants to talk about kinetics and thermodynamics. The kinetics portion of the ev model is demonstrated by the rate (the number of generations required) at which the model converges depending on input parameters. How does thermodynamics enter into this model other than the increase in information in the genome being mathematically equal to the negative change in the entropy of the genome? Let’s put a little hard science into the feather pillow soft theory of evolution.

Evolutionists like to talk about the “natural selection” as being the driving force for evolution. What is a hard scientific explanation for “natural selection”? Since I know how impatient evolutionarians are, I give you the answer to this question immediately. Natural selection is nothing more than a restatement of the 1st law of thermodynamics. Any energy available to an organism that has to used for the immediate survival of the organism can not be used for reproduction. The most efficient energy using organisms will have the most energy available to use for reproduction and will be selected for.

When one applies this concept of natural selection to genetic evolution, you have a spectrum of genetic events which can be acted on by this principle. At one end of the spectrum you have immediately fatal mutations. You can also have harmful mutations that don’t immediately kill the organism but put that organism at a reproductive disadvantage to other organisms of that species. You can have neutral mutations which don’t give an advantage or disadvantage for that organism with respects to other members of that species. At the other end of the spectrum you have the so called good random mutations. These mutations confer a selective advantage and make these organisms better reproducers because of these helpful mutations. Unlike immediately fatal mutations which are well known and many have been identified, there are very few examples of good mutations which immediately confer survival benefit. Those good mutations that do confer an immediate survival benefit do not involve the de novo evolution of a gene but usually involve a single base substitution to an already existing gene or the availability of an alternative less energy efficient metabolic pathway that gives a survival benefit.

The genetic evolutionary concept requires huge numbers of neutral mutations which offer no natural selective advantage to occur in order to form highly complex genes. Consider the Kreb cycle. Each step in the metabolism of glucose requires a complex protein enzyme catalyst. In order for each of these complex enzymes to be formed, every base change must obey the law of natural selection. If the base change reduces the energy efficiency of the organism, the organism is selected against and the frequency of that base change is reduced in the gene pool. If the base change has no change on the energy efficiency of the organism, the organism will be neither selected for nor selected against and the frequency of that base change will not change in the gene pool. If the base change improves the energy efficiency of the organism, the frequency of that base change will increase in the gene pool.

So, what are the observations that we have of random point mutations and natural selection? There are scores of genetic diseases which are attributed to single point mutations. There are few occurrences of survival benefit attributed to single point mutations. Natural selection is far more efficient selecting out harmful point mutations and selecting in beneficial point mutations. Natural selection does not have high enough resolution to select for or against the many neutral point mutations that would be necessary for the de novo formation of a gene.
 
Dr Schneider and all you other evolutionarians let it be known that the gauntlet is taken up officially on 2006 November 28. So Dr Schneider, come out from hiding under your blanket and stop making other evolutionarians defend your superficial analysis of ev.
Fine, Let it be known on this date, November 28th, 2006, You're challenge has been met and dissmissed.

the following links represent clear flaws in your argument against ev and why you are wrong.
http://www.internationalskeptics.com/forums/showthread.php?postid=2088334#post2088334
http://www.internationalskeptics.com/forums/showthread.php?postid=2095267#post2095267
http://www.internationalskeptics.com/forums/showthread.php?postid=2096792#post2096792
http://www.internationalskeptics.com/forums/showthread.php?postid=2097589#post2097589
http://www.internationalskeptics.com/forums/showthread.php?postid=2097776#post2097776
http://www.internationalskeptics.com/forums/showthread.php?postid=2098215#post2098215
http://www.internationalskeptics.com/forums/showthread.php?postid=2098611#post2098611
http://www.internationalskeptics.com/forums/showthread.php?postid=2101691#post2101691
http://www.internationalskeptics.com/forums/showthread.php?postid=2110843#post2110843
http://www.internationalskeptics.com/forums/showthread.php?postid=2117943#post2117943
http://www.internationalskeptics.com/forums/showthread.php?postid=2123175#post2123175
http://www.internationalskeptics.com/forums/showthread.php?postid=2123221#post2123221
http://www.internationalskeptics.com/forums/showthread.php?postid=2123432#post2123432


Please try again, but with a new hypothesis.
Evolution takes to long cause ev said so has been disproven.
 
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Annoying Creationists

Kleinman said:
Dr Schneider and all you other evolutionarians let it be known that the gauntlet is taken up officially on 2006 November 28. So Dr Schneider, come out from hiding under your blanket and stop making other evolutionarians defend your superficial analysis of ev.
joobz said:
Fine, Let it be known on this date, November 28th, 2006, You're challenge has been met and dissmissed.
Joozb, so now you are Dr Schneider’s second. Why didn’t you comment on the kinetics and thermodynamics I presented? I did this just for you.

Why don’t you show as much creativity as Adequate, at least he posts a gif with his URLs?

I have already received an email response from Dr Schneider to his offer to take up the gauntlet. He refuses privately and because this is a private message I am not free to post his reasons why. It doesn’t matter to the proof that ev shows that macroevolution is mathematically impossible by random point mutations and natural selection. It only remains to be shown definitively that ev shows that huge populations do not accelerate evolution sufficiently to make macroevolution possible.

Delphi, if you lay off the sterno, you wouldn’t sleep so much.
 
Kleinman said:
It doesn’t matter to the proof that ev shows that macroevolution is mathematically impossible by random point mutations and natural selection. It only remains to be shown definitively that ev shows that huge populations do not accelerate evolution sufficiently to make macroevolution possible.
Huh? In the first sentence you have a proof that macroevolution is impossible. In the second sentence you specify one of the steps that remains to prove that macroevolution is impossible.

~~ Paul
 
Annoying Creationists

Kleinman said:
It doesn’t matter to the proof that ev shows that macroevolution is mathematically impossible by random point mutations and natural selection. It only remains to be shown definitively that ev shows that huge populations do not accelerate evolution sufficiently to make macroevolution possible.
Paul said:
Huh? In the first sentence you have a proof that macroevolution is impossible. In the second sentence you specify one of the steps that remains to prove that macroevolution is impossible.
Good, you are paying close attention. How is the population series you are running coming along? You know that with our desktop scale pc's this discussion will go on for years.
 
I think now is a good time to respond to some of joozb’s kvetching. Joozb wants to talk about kinetics and thermodynamics. The kinetics portion of the ev model is demonstrated by the rate (the number of generations required) at which the model converges depending on input parameters.
finally, you've said something correct. The number of generations required is determined by the kinetics of the system. This is exactly true. the only real rate constant you have here is the mutation rate, which has no real link to thermodynamics in this model. Your entire argument has been a kinetic one, not a thermodynamic one. This was my point.

How does thermodynamics enter into this model other than the increase in information in the genome being mathematically equal to the negative change in the entropy of the genome? Let’s put a little hard science into the feather pillow soft theory of evolution.
Evolutionists like to talk about the “natural selection” as being the driving force for evolution. What is a hard scientific explanation for “natural selection”? Since I know how impatient evolutionarians are, I give you the answer to this question immediately. Natural selection is nothing more than a restatement of the 1st law of thermodynamics. Any energy available to an organism that has to used for the immediate survival of the organism can not be used for reproduction. The most efficient energy using organisms will have the most energy available to use for reproduction and will be selected for.
Interesting view. I've heard the energy efficiency aspect of natural selection before and think it provides a framework for analysis of cellular processes and the evolutionary advantages they may possess. Although I do not see how this relates to you addressing the use of entropy in the ev model since the first law is not related to entropy at all. I'd ask for a clarification, but this is off topic. I understand why it relates to the generation of information.

When one applies this concept of natural selection to genetic evolution, you have a spectrum of genetic events which can be acted on by this principle. At one end of the spectrum you have immediately fatal mutations. You can also have harmful mutations that don’t immediately kill the organism but put that organism at a reproductive disadvantage to other organisms of that species. You can have neutral mutations which don’t give an advantage or disadvantage for that organism with respects to other members of that species. At the other end of the spectrum you have the so called good random mutations. These mutations confer a selective advantage and make these organisms better reproducers because of these helpful mutations. Unlike immediately fatal mutations which are well known and many have been identified, there are very few examples of good mutations which immediately confer survival benefit. Those good mutations that do confer an immediate survival benefit do not involve the de novo evolution of a gene but usually involve a single base substitution to an already existing gene or the availability of an alternative less energy efficient metabolic pathway that gives a survival benefit.
The genetic evolutionary concept requires huge numbers of neutral mutations which offer no natural selective advantage to occur in order to form highly complex genes. Consider the Kreb cycle. Each step in the metabolism of glucose requires a complex protein enzyme catalyst. In order for each of these complex enzymes to be formed, every base change must obey the law of natural selection. If the base change reduces the energy efficiency of the organism, the organism is selected against and the frequency of that base change is reduced in the gene pool. If the base change has no change on the energy efficiency of the organism, the organism will be neither selected for nor selected against and the frequency of that base change will not change in the gene pool. If the base change improves the energy efficiency of the organism, the frequency of that base change will increase in the gene pool.

So, what are the observations that we have of random point mutations and natural selection? There are scores of genetic diseases which are attributed to single point mutations. There are few occurrences of survival benefit attributed to single point mutations. Natural selection is far more efficient selecting out harmful point mutations and selecting in beneficial point mutations. Natural selection does not have high enough resolution to select for or against the many neutral point mutations that would be necessary for the de novo formation of a gene.
From this text you claim
1.) Point mutations can be fatal.
I agree, we have evidence of this.
2.) Point mutations can be "neutral"
I agree that a point mutation that results in no change in the peptide sequences of proteins can be deemed neutral. However, you seem to be lumping in changes that result in actual changes in peptide sequences as "neutral" and this is not really the case. This is the basis of protein polymorphisms. Many of these proteins may have only slight differences as to be negligible. But once an environmental stressor arrises that exploits this difference, a selection from a "neutral change" can be made.

This is most understandable when looking at xenobiotic metabolizing enzymes. different polymorphs have varing degrees of metabolizing potential. If these varied people are exposed to the right toxin, only those who metabolize it safely and effectively will live.

http://tinyurl.com/sbero
http://tinyurl.com/y3fh9r
http://tinyurl.com/y2y3kd
http://tinyurl.com/y73t5r
http://tinyurl.com/yyc7f4

3.) Point Mutations do not exist which are "good"
This is where I disagree. See above.
 
Kleinman said:
Good, you are paying close attention. How is the population series you are running coming along? You know that with our desktop scale pc's this discussion will go on for years.
So you admit there is no proof so far. Excellent. By the way, it's your proof, so why am I the one who has to run the experiments?

Here's what I have so far. Some of the generation counts are from one run, some are the average of 3--5 runs with different random seeds. The last three points are from your runs.

genome size 1024
binding sites 16
1 mutation per genome

population, generations to perfect creature

4, 95600
8, 43400
16, 22000
32, 14800
64, 18000
128, 4400
256, 4000
512, 3900
1024, 2700
2048, 1800
4096, 1770
8192, 1641
16384, 1253
23100, 1275
32768, 1288
46200, 1709
65536, 922
92680, 725
110000, 1177
262000, 702
524000, 642
1048000, 438

The points beginning with a population 1024 fit the curve [latex]$g = 12347p^{-.23}$[/latex]. Extrapolating to 100 million creatures, we get 178 generations; to 1 billion creatures, 105 generations.

~~ Paul
 

Dr Schneider said the following about his model:

And
And

And

And

And

And


And for good measure:

Dr Schneider and all you other evolutionarians let it be known that the gauntlet is taken up officially on 2006 November 28. So Dr Schneider, come out from hiding under your blanket and stop making other evolutionarians defend your superficial analysis of ev.

Why Paul, this is mathematical proof from your own computer model that your soft theory of evolution is mathematically impossible, mathematically impossible.
I'm afraid you haven't quite removed enough context from the quotes.

I draw your attention specifically, to where Schneider says:

The primary reason is that we don't have infinite resources and time. If you have the resources (a molecular biology lab), are interested in doing an experiment, and would like to discuss it please contact me.
This challenge you have not, I think, met.
 
Annoying Creationists

Kleinman said:
Good, you are paying close attention. How is the population series you are running coming along? You know that with our desktop scale pc's this discussion will go on for years.
Paul said:
So you admit there is no proof so far. Excellent. By the way, it's your proof, so why am I the one who has to run the experiments?
Kleinman said:
Paul said:
Here's what I have so far. Some of the generation counts are from one run, some are the average of 3--5 runs with different random seeds. The last three points are from your runs.

genome size 1024
binding sites 16
1 mutation per genome

population, generations to perfect creature

4, 95600
8, 43400
16, 22000
32, 14800
64, 18000
128, 4400
256, 4000
512, 3900
1024, 2700
2048, 1800
4096, 1770
8192, 1641
16384, 1253
23100, 1275
32768, 1288
46200, 1709
65536, 922
92680, 725
110000, 1177
262000, 702
524000, 642
1048000, 438

The points beginning with a population 1024 fit the curve g=12347p^-.23. Extrapolating to 100 million creatures, we get 178 generations; to 1 billion creatures, 105 generations.
What I admit to is that the proof is not complete. It is clear from your own extrapolation that it takes 200,000,000 million generations to evolve the 16 binding sites on a 100k genome with a population of 1,000,000. So your own estimate rules out the possibility of evolving 16 binding sites by random point mutations and natural selection on any life form with a eukaryotic size genome and population. The only thing that remains to be definitively put to rest is whether you can evolve 16 binding sites by random point mutations and natural selection on a prokaryotic size genome and population.

I thought you were doing a population series with a mutation rate of 10^-6. The data you posted is similar to the series I posted a while back.
G=1000, mutation rate = 1 mutation per 1000 bases per generation, gamma = 16, binding site width = 6:
Population \ generation for convergence
2 \ failed to converge
4 , 66547
8 , 15916
16 , 17257
32 , 16416
64 , 9082
128 , 9378
256 , 4078
512 , 3685
1024 , 2793
2048 , 2080
4096 , 2565
6000 , 1541
8192 , 1798
16384 , 1001
32768 , 743
65536 , 633
131072 , 483
262144 , 702
524288 , 642
1048576 , 438

I plugged some values into your curve fit g=12347p^-.23 to see what this equation estimates for populations greater than 1,000,000,000
p (population) /g (generations for convergence)
1E+9/105
1E+12/21
1E+15/4.4
1E+18/0.9
1E+21/0.2
You actually beat Adequate’s calculation of 1 generation when the population is infinite. At 10^18 population it takes less than 1 generation for ev to converge.

Paul, you don’t need to run any cases unless you want to. I just thought your scientific curiosity would want to know the answer to last question about ev question.

Adequate quotes Dr Schneider:
Dr Schneider said:
The primary reason is that we don't have infinite resources and time. If you have the resources (a molecular biology lab), are interested in doing an experiment, and would like to discuss it please contact me.
Dr Adequate said:
This challenge you have not, I think, met.
Only a tax-payer funded laboratory would be stupid enough to take up Dr Schneider’s challenge. Once you do a little analysis of what ev really shows, Dr Schneider’s offer is about as sensible as a Ponzi scheme.

Since now that Dr Schneider’s throwing down the gauntlet was only as Trimble terms this, “posturing”, how much more of what Dr Schneider has said about his ev model was “poncing” around and only an attempt on Dr Schneider’s part to artificially support the mathematically very weak theory of evolution. The question is, how much did Dr Schneider know and when did he know it?

In Dr Schneider’s paper Evolution of Biological Information he wrote the following:
Dr Schneider said:
To test the hypothesis that Rsequence can evolve to match Rfrequency, the evolutionary process was simulated by a simple computer program, ev, for which I will describe one evolutionary run. This paper demonstrates that a set of 16 binding sites in a genome size of 256 bases, which would theoretically be expected to have an average of Rfrequency = 4 bits of information per site, can evolve to this value given only these minimal numerical and size constraints. Although many parameter variations are possible, they give similar results as long as extremes are avoided (data not shown).
What does Dr Schneider mean by “as long as extremes are avoided (data not shown)”?

Dr Schneider said the following on his FAQ page on ev:
http://www.lecb.ncifcrf.gov/~toms/paper/ev/faq-for-ev.html
Dr Schneider said:
If you had a reasonable sized genome would you find that there won't be an information gain? No. Don't be lazy,
Dr Schneider said:
go try it yourself! But notice that it will take a lot more computation, and the runs may take some years unless you write a version that uses parallel processors.

Was Dr Schneider artificially inflating his estimate of the evolution of human genome in a billion years by purposely ignoring the rate of information gain on a reasonable sized genome? Why would he do this? Was it simply a blunder on Dr Schneider’s part or did Dr Schneider have other motives for saying “as long as extremes are avoided (data not shown)”? How much did Dr Schneider know and when did he know it? The plot thickens.
 
Hi Paul,

Now that I'm back I'm going to be working a bit more on my experiments with a modified ev. I'd like to fill you in on some of the details.

Because I wanted to experiment with the selection model using various tie-breaking rules, I decided to change the sorting-by-mistakes procedure also. With the sort going on, the population-wide effects of any nonrandom tiebreaking rule would likely end up depending on the details of the sort algorithm, i.e. how the (usually large) portion of the population having equal mistakes gets sorted. If the same individuals tend to get sorted into the same positions each generation, then the effect of a nonrandom tiebreaker would be different than if those individuals get thoroughly shuffled. The quicksort algorithm doesn't offer any straightforward way to predict or control this, so I decided to remove the sort entirely.

In my version, the organisms are all positioned on an array (one or two dimensions, with or without wrap-around, depending on the parameters I set) and compete only against their adjacent neighbors. For each position, the mistakes and any tiebreaker measure are compared for the "resident" organism and its (up to) four neighbors. The best gets to reproduce its genome into that position on the next generation. In an unbroken tie including the current resident, the resident gets to survive. In an unbroken tie not including the current resident, one of the tied bugs chosen at random gets to reproduce into the location. The whole array is updated simultaneously after the decisions are made for every location, so there's no directional effect from the order in which the positions are tested, and it's possible for an organism to reproduce into one or more neighboring cells, and be replaced by a different neighbor, all in the same generation.

To make these changes I rewrote the model in Lingo (Shockwave) which gives me more flexibility. However, Lingo runs about 50-100x slower than Pascal or Java, so I can only test the small end of the parameter space this way. (That was no surprise.) My intention was, and is, to do a lot of tests of different possibilities with small parameters, find what looks interesting, and then either reproduce those modified versions in Pascal or convince you to do so in Java for more testing. First up is to continue testing with the best-worst mistake as the tiebreaker. I've also been getting interesting results with random threshold variations (most efficient seems to be environmental variation -- that is, a single random offset each generation that applies to the whole population). It turns out there's a pretty large parameter space to explore there. I'd also like to try cyclic instead of random threshold offsets. But that whole line of inquiry has now dropped to much lower priority.

There was a test you asked me to make; I believe it was something to do with the effects of pegging the threshold at zero. (I can go back in the thread and look it up.) Are you still interested in my doing that, knowing that I've altered the selection procedure as I have?

Respectfully,
Myriad
 
I plugged some values into your curve fit g=12347p^-.23 to see what this equation estimates for populations greater than 1,000,000,000
p (population) /g (generations for convergence)
1E+9/105
1E+12/21
1E+15/4.4
1E+18/0.9
1E+21/0.2
You actually beat Adequate’s calculation of 1 generation when the population is infinite. At 10^18 population it takes less than 1 generation for ev to converge.
:th:
I got to hand it to you. that's a whole new level of silly.
you called out the problem of using a continuous curve fit equation on discretized data.

Now, can you tell me where an engineer would find the logical violation? Is it in the curve fit Paul calculated, or is it in your use of it?

I'll give you a hint, your base assumption is wrong.
 
Annoying Creationists

Kleinman said:
I plugged some values into your curve fit g=12347p^-.23 to see what this equation estimates for populations greater than 1,000,000,000
Kleinman said:
p (population) /g (generations for convergence)
1E+9/105
1E+12/21
1E+15/4.4
1E+18/0.9
1E+21/0.2
You actually beat Adequate’s calculation of 1 generation when the population is infinite. At 10^18 population it takes less than 1 generation for ev to converge.
joozb said:
I got to hand it to you. that's a whole new level of silly. you called out the problem of using a continuous curve fit equation on discretized data. Now, can you tell me where an engineer would find the logical violation? Is it in the curve fit Paul calculated, or is it in your use of it? I'll give you a hint, your base assumption is wrong.
Joozb, Paul has done extrapolations like this for months, and his curve fits have always been useless at extrapolating data points beyond the range of the data used for generating the curve. His curve fit for the above data gives generations for convergence of 509 for a population of 1048576 and an extrapolated generations for convergence of 434 for a population of 2097152. Paul has the program to run this case to see how accurate his curve fit is when doing extrapolations. In order to get an accurate representation of the population/generations for convergence curve, you have to compute the data points with ev. I have had this discussion with Paul several times, in the past, this is the first time you have heard it.

Paul has gotten himself involved with a computer model that has turned out to be a lemon for supporting the theory of evolution. He is looking for a way to extricate himself from this discussion. What he really needs to do is learn how to make lemonade.

Your posts are showing improvement with your use of a gif. Keep up the good work.
 
Funny how these "proofs" turn out in internet forums but never in any scientific media. I wonder why that is?
 
kleinman said:
p (population) /g (generations for convergence)
1E+9/105
1E+12/21
1E+15/4.4
1E+18/0.9
1E+21/0.2

You actually beat Adequate’s calculation of 1 generation when the population is infinite. At 10^18 population it takes less than 1 generation for ev to converge.
joobz said:
I got to hand it to you. that's a whole new level of silly. you called out the problem of using a continuous curve fit equation on discretized data. Now, can you tell me where an engineer would find the logical violation? Is it in the curve fit Paul calculated, or is it in your use of it? I'll give you a hint, your base assumption is wrong.
Joozb, Paul has done extrapolations like this for months, and his curve fits have always been useless at extrapolating data points beyond the range of the data used for generating the curve. His curve fit for the above data gives generations for convergence of 509 for a population of 1048576 and an extrapolated generations for convergence of 434 for a population of 2097152. Paul has the program to run this case to see how accurate his curve fit is when doing extrapolations. In order to get an accurate representation of the population/generations for convergence curve, you have to compute the data points with ev. I have had this discussion with Paul several times, in the past, this is the first time you have heard it.
I'm sorry, wrong answer.
Thanks for playing.

The correct answer is, you are missusing/abusing the equation. Yes, see you are extrapolating beyond what the discrete data set can allow for.

Again, math only provides a framework to define and understand our surroundings. If we apply this math and do not properly limit ourselves to reality, the final result will be meaningless.
 
Well, I always find Dawkins very preachy and the recent meeting, reported in New Scientist, came across as similar to a convocation of Bishops.

The failings in religion, at least when Holy books are interpreted literally, are perfectly clear and seem to be acknowledged by the majority of religious believers who debate the issue - Answers in Genesis excepted.

The fact is that science can never answer or disprove every possible variation of religious faith but still it is quite clear that faith wil never just go away. It seems to me that Dawkins and his followers are dominated by efforts to reply to faith, rather than constructing evolutionary theory in a more sensible and compelling way. Thus they are not improving the theory of evolution just converting it into another branch of faith to which all members of the scientific community are expected to give obeisance. That is entirely wrong.

What they should be doing is recognizing some of the failings in evolutionary theory and using that recognition as a platform from which to improve it.

I actually think religion will go away--I wouldn't call it faith...but I would call it hope...I have high hopes that religion will fad as more and more is described by Science. People like Kleinman and Hammy and Thai will believe whatever it is they believe to their dying day. And if we get ghostly visits that say "I told you so", then we'll know they are right. But I don't see them convincing anyone but themselves. And young people are as not as likely to be so thoroughly meme infected and so religion is likely to be seen as something crotchity old men and ladies do...and nerds...and some white trash...etc. What neurology is increasingly showing quite clearly, is the sense of self is reliant on a working brain...there isn't an afterlife. Don't spend your money time or allegiances supporting ideas that are supposed to be about living happily ever after. I mean, I can't prove the hijackers don't have their virgins...but all speculation about what exists beyond are equally likely from an evidentiary perspective.

If there are nebulous areas in evolution, creations jump insert their favorite invisible and immeasurable entity and say that it's the solution. But it's a solution that goes nowhere. And know matter how nicely you explain or how often, if someone believes their eternity depends on them believing some story or another then you words fall on deaf ears. Science is refining our understanding in evolution at amazing speed. Creationists are so far behind in what we know and so dishonest in the questions they ask that it shouldn't be up to Dawkins or anyone else to give their wacky beliefs the time of day. As yourself how you think we should treat the Amish and Muslims and Scientologists...all of whom have a different creation story. Should we make nice? For what. The truth shouldn't be watered down to make it more palatable. New information will survive because it works...it's true...it's fact based...and it can be taught to anyone no matter what god they pray to or what language they speak. Science doesn't need religion. And the more we push superstitious thinking out of the public, the better for us all.

I find it crazy that Dawkins is supposed to bend over backwards to people who are both delusionlal and who show NO respect for him. They are liars who pretend that science is taking them seriously (not) when one of them dares to entertain their delusion. Let other people play the peacemaker.
 
Could you give this thread an extremely detailed evolution of hemoglobin?

An extremly detailed anwer will start with high school biology and chemistry course thru senior year, then college up to the grad level, then working with those who are leaders in this field.

Are you game?
 
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