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Evolution: the Facts.

And the development of a young organism isn't the organism running a program.
I beg to differ. If it was not running a program, we would not see the same results over and over. The program may not be stored in any way that resembles what our computers uses, but it is a program nevertheless.

To think of it in these terms is to limit your understanding of the topic.
That would depend on the computer model you have in mind. If we think in terms of human computers, we will certainly not gain much understanding. The development of organisms from single cells to fully grown show clearly that a program is executed, and the discovery of DNA and the gene coding supports this. However, we would probably be wrong if we thought that DNA is the only program that is being executed, and if we thought that DNA is only a program.
 
I beg to differ. If it was not running a program, we would not see the same results over and over. The program may not be stored in any way that resembles what our computers uses, but it is a program nevertheless.

And here I beg to differ. It's not "a" program but rather a cascade of cell signalling. I've worked a lot on miRNA regulation of wnt b-catenin pathways for tissue differentiation. A rudimentary explanation that is more right than wrong (it is vastly more complex than what I'm about to say) is that each cell induces translation factors which produce proteins and various TFs/regulatory enzymes, miRNA's, siRNA's and/or exRNA's (I've only read some on exRNA's but they're probably development factors as well but it's newer and there is a dearth of research for now) that factor in intercellular regulation and development but that regulation also releases intracellular signalling which induces differentiation in other cells which feeds back on itself, other cells etc etc. This is the crux of tissue differentiation, HOX-gene expression (and hedgehog pathway(s) ) which also perform development expression. It's not "a" program but almost an emergent product of multiple stochastic responses derived from genes. It blows my mind that it seems to work so well so often (it doesn't but the nice thing about DNA is that along for the ride are multiple alleles which regulate the regulation to make it efficient or inhibit particular pathways (either fully inhibit or reduce; miRNA's and siRNA's are the mack daddies here and they're pleiotropic). You see the same results in part because, from an evolutionary standpoint it is more fit to have these regulatory alleles.

Oh yes BTW that is only a rudimentary interjection. It is not a program in any appreciable way from a biological standpoint. Now if you're a programmer I'm not going to dock you for using your hammer on my nail but...I mean even by analogy this isn't a program because a program is determined towards an outcome. Development in particular looks like it's determined towards an task but development is almost like the worlds largest traffic jam; the cars only get off when the path is clear and each car is out for itself in a sense. They also sometimes slow down, stop, go in reverse and muck it up really really bad. It literally competes within each cell, within each genome of each cell but that competition feeds back to other cells which compete within their genome and for some goddamned reason something alive actually develops out of it. Go home nature...you're drunk.

If a snowflake's pattern isn't a program then development for hell's bell's sure ain't one either. Yes you get a snowflake out of certain conditions and physical interactions but the direction...there isn't one and if you think there is well you can buy my Jesus Toast for 20 bucks.
steenkh said:
That would depend on the computer model you have in mind. If we think in terms of human computers, we will certainly not gain much understanding. The development of organisms from single cells to fully grown show clearly that a program is executed, and the discovery of DNA and the gene coding supports this. However, we would probably be wrong if we thought that DNA is the only program that is being executed, and if we thought that DNA is only a program.

Oh finally we're getting to modeling. Let's talk about that...no wait let's not talk about that because I'm already depressed. Let me just say I work a good bit right now in a biostatistics field of molecular genetics regarding cancer biomarkers (I am not a biostatistician I am an epidemiologist but if I were to pursue my PhD in lieu of professional school it would be in bioinformatics). Iowa, Boston, Standford, Harvard all have leading Bioinformatics programs studying just the biomarker (and as such the genomic/translational disciplines) research in cancer. Other universities are studying whole metabolomics, others proteomics. They aren't even collaborating; they don't have enough research or well...how to put it lightly...incentive to collaborate. What my research has been working on is developing a stochastic analysis of genomic and metabolomic research just to see if it even works since biomarkers research using genomic analysis isn't too fruitful though the grants are just divine.

We'll get to model it someday, but not today. Tomorrow ain't looking good either. But it is anything but easy to say "depends on what model we use" because haha hahahaha hahaha...that line actually makes me yearn to say that with conviction. A model shouldn't necessarily account for everything (PCA "solves" that) but these processes are all raindrops to a flood and not a single one to blame or so it seems these days.

EDIT: no seriously steenkh I think I just had a brief episode of insanity.
 
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I beg to differ. If it was not running a program, we would not see the same results over and over. The program may not be stored in any way that resembles what our computers uses, but it is a program nevertheless.
then it isn't really a program, and that is my point, it is not like computer programming at all except in some fashion of a sort of guided process. But the genetic unfolding of patterns is something very different from computer programming. That is teh fallacy of contruction in PartSkeptic's argument.

A computer program is desgned architechturaly before depolyment and design of teh software, that is not true of biological development in any way.

So maybe there are better terms and analogies than computer programming.

There is no kernal architecture and internal sets of programs, there is not transmission architecture of buses and timing, there is nothing at all that is analogous to computers.

It is much more like an ant hill than a program

:)
That would depend on the computer model you have in mind. If we think in terms of human computers, we will certainly not gain much understanding. The development of organisms from single cells to fully grown show clearly that a program is executed,
No, I am saying it is not, it shows that growth and development occurred, which is nothing like a program in anyway.
:)

believe me if development was like programming, the whole system would crash when a single non-essential part of the organism failed.

Your computer will freeze up if your browser gets boogered up or if one bad byte screws with a small control parameter and it ends up waiting on an instruction that never comes.

That is not the way growth and development works at all.

:)
 
It's not "a" program but almost an emergent product of multiple stochastic responses derived from genes. It blows my mind that it seems to work so well so often (it doesn't but the nice thing about DNA is that along for the ride are multiple alleles which regulate the regulation to make it efficient or inhibit particular pathways (either fully inhibit or reduce; miRNA's and siRNA's are the mack daddies here and they're pleiotropic). You see the same results in part because, from an evolutionary standpoint it is more fit to have these regulatory alleles.
I do see the point about the complexity.

Oh yes BTW that is only a rudimentary interjection. It is not a program in any appreciable way from a biological standpoint. Now if you're a programmer I'm not going to dock you for using your hammer on my nail but...I mean even by analogy this isn't a program because a program is determined towards an outcome.
Yes, you are right, I am a computer programmer. But as far as I know this program is determined towards an outcome which is a viable, reproducible individual.

Development in particular looks like it's determined towards an task but development is almost like the worlds largest traffic jam; the cars only get off when the path is clear and each car is out for itself in a sense. They also sometimes slow down, stop, go in reverse and muck it up really really bad.
That is complexity, it is not an argument against a program. Bad programmers do similar things. The programmer for biological beings is the worst possible: mindless selection.

If a snowflake's pattern isn't a program then development for hell's bell's sure ain't one either. Yes you get a snowflake out of certain conditions and physical interactions but the direction...there isn't one and if you think there is well you can buy my Jesus Toast for 20 bucks.
Snowflakes get their patterns from physical properties. You can change biological programs without changing any physical properties.

Oh finally we're getting to modeling.
I did not specify any model, so I must admit that I am somewhat at a loss at what happens here. I certainly do not claim that cells are von Neumann computers. I believe they are not even sequential, so there is very little traditional computer theory could be applied here. In fact, I think the best argument against the computer theory is that it does not really predict anything useful (except the obvious that if we change the program, changes will occur).

EDIT: no seriously steenkh I think I just had a brief episode of insanity.
Your posts are interesting to read nevertheless.
 
then it isn't really a program, and that is my point, it is not like computer programming at all except in some fashion of a sort of guided process. But the genetic unfolding of patterns is something very different from computer programming. That is teh fallacy of contruction in PartSkeptic's argument.

A computer program is desgned architechturaly before depolyment and design of teh software, that is not true of biological development in any way.

So maybe there are better terms and analogies than computer programming.
That is possible. As I wrote to Lowpro, the computer model for biological beings cannot even be a sequential computer, so there is very little experience we can draw upon. However, I still think it is a computer, even if not a general one, and that I think that if computer theories cannot help biology, it is very possible that the study of biology could help computer theory.

believe me if development was like programming, the whole system would crash when a single non-essential part of the organism failed.
Is this not what happens at spontaneous abortions?
 
That is possible. As I wrote to Lowpro, the computer model for biological beings cannot even be a sequential computer, so there is very little experience we can draw upon. However, I still think it is a computer, even if not a general one, and that I think that if computer theories cannot help biology, it is very possible that the study of biology could help computer theory.


Is this not what happens at spontaneous abortions?

As I said 'non-essential', a fetus does not stop growing because it doesn't execute the sub function of growing a fingernail properly. This is often why computers freeze up, a sub routine calls for a value and the value supplied does not meet the expected parameter, so your whole computer grinds to a halt.

I don't think that happens in fetal development, it happens to computers quite often.
 
Snowflakes get their patterns from physical properties. You can change biological programs without changing any physical properties.

Nope. DNA is actually a thermodynamic facilitator and its physical properties (and sequence) are what determine the output, as well as all intra/inter cellular communication (in all cases barring Dinwar's objections :D * the genome will always be the common denominator in all of this). These are molecules, not bits. I assume that I am misinterpreting what you've said though because I figure that you are aware of this.

*Me and Dinwar may not see exactly eye-to-eye on the Central Dogma but I think it's more fun this way

steenkh said:
]Yes, you are right, I am a computer programmer. But as far as I know this program is determined towards an outcome which is a viable, reproducible individual.

Only because of natural selection forcing the continuum. Much like the snowflake there is no "outcome" in snowflake formation but due to physical properties it will make a snowflake given conditions. Development is much more synonymous with this but the constraints are still physical though due to the sequence of the genome (and other factors which I've mentioned and subsequently had a panic attack on) which exists because of selection pressures. Thus there is no determination of outcome and instead it behaves stochastically. Remember stochastic processes are not determinate to an outcome other than absorbing barriers such as extinction (think Drunkard's Walk). One could argue that a determined outcome is Fitness but fitness is relative to these physical constraints just as the snowflake formation is. Due to life's "common ancestor(s)" there are multiple fitness peaks which are relative to genome, biochemistry, and selection pressures. This is more in the realm of Fisher and Wright though and is population based so we're deviating from development but it's worth keeping in mind that these pressures are major factors. Because of these factors "determined outcome" is essentially meaningless. Viable offspring is the outcome because no other outcome "works" due in part to genome, selection pressures, physical constraints etc.

I'm sure to some this may be pedantic but with respect to the statistics (and more importantly the research) it must be understood that this is extremely important. It's random but biased by selection pressures (and yes that is STILL random). Not deterministic.
 
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I don't think that happens in fetal development, it happens to computers quite often.
Well, they are entirely different beasts. Foetuses consist of numerous cells, each of which qualify as a computer, and they usually start out with a program that works. The possibility for errors that make a single cell stop working is quite large, but we also have to consider that a cell has the ability to repair some errors.

I never denied that cells are completely different from the computers we know.
 
Well, they are entirely different beasts. Foetuses consist of numerous cells, each of which qualify as a computer, and they usually start out with a program that works. The possibility for errors that make a single cell stop working is quite large, but we also have to consider that a cell has the ability to repair some errors.

I never denied that cells are completely different from the computers we know.

[pedantic]

If they're not like computers we know then they aren't like computers at all

[/pedantic]

:D yes I know what you mean to describe though, but it's kind of a softball pitch that I had to grand slam.
 
If there is an analogy between brain development and computing it is that the brain is a massively parallel computer which is self learning and self programming at the hardware level. We have no experience in either practice or theory with this type of device. The brain is the best indicator of the emergent properties of such machines.
 
steenkh said:
I beg to differ.
You can beg all you want; it doesn't change the simple fact that you're over-extending a metaphore well past the point where it offers any useful information on the topic, and ignoring the very system you wish to discuss.

I never denied that cells are completely different from the computers we know.
So, to be clear: You want us to think about genetics as the programming of a computer the likes of which we don't know.

How, precisely, is this helpful at all?

Your analogy also fails because cells can self-repair, and each component can act semi-independantly (mitochondria and chloroplast come with their own DNA, even). If anything, DNA acts more like blueprints, with ribosomes operating as the assembly lines and the organells as machines. So cells can be thought of as machine shops.

Yes, you are right, I am a computer programmer.
And you're trying to think of biology in terms you are familiar with. Let me ask you this: How would you feel if a biologist told YOU that computer programming should be thought of in biological terms, that computers were just cells? You'd laugh at him. Yet that is, fundamentally, what you're doing here. You're trying to use the terminology and concepts you are familiar with to understand a vastly different field. It's not a bad place to start, but it's an intellectually dangerous place to stop.
 
I am not going to spend much longer on this thread - a few other things to do. Thanks to all for the interesting posts.

I agree with steenkh that computers and consciousness have much in common and that the different disciplines are needed to explain what is happening. I have read some discussions on consciousness and the mind-body problem. Computers, Turing machines and AI come up all the time.
 
That ceratainly explains many of the problems I've had with numerous engineers.

You'll pass the exam, maybe--but you'll never retain the information. And given that engineering is the art of keeping people alive in an industrial society, that's a rather disconcerting notion.
.

As an Director of Engineering hiring engineers in the USA and then working with engineers in other countries when I was a consultant I agree that there are problems with engineers. One problem was the 15 sec attention span. The other was a lack of dedication. Another problem is the education systems that are full of "fuzzy" statements and questions. And then specialisation and lack of training. I take it you are not an engineer.

Never retain the information? On what basis do you say that? My problem with such a good memory was trying to forget things. Thankfully at the age of forty this started happening. What a pleasure, although now at 64 it is a problem.

I used to test systems such as mine hoists to put them into service. Never had one comeback on the quality of my work. When they failed peopled died, or there were big explosions. Not on my shift - I used to investigate and report on such failures.
 
Your analogy also fails because cells can self-repair, and each component can act semi-independantly (mitochondria and chloroplast come with their own DNA, even). If anything, DNA acts more like blueprints, with ribosomes operating as the assembly lines and the organells as machines. So cells can be thought of as machine shops.
In my replies to Lowpro and Dancing David I had myself mentioned the self-repair mechanism and the fact that each cell runs semi-independent of each other. I cannot see why this should be an argument against my position.

How would you feel if a biologist told YOU that computer programming should be thought of in biological terms, that computers were just cells? You'd laugh at him.
No. I think you do not really make an effort to understand what I say. In my reply to Dancing David I explicitly wrote:
[..] I think that if computer theories cannot help biology, it is very possible that the study of biology could help computer theory.

It seems that I have stepped on some toes here, and I am sorry for that. I cannot invest that much emotion in what I regard as a trivial, but possibly not very helpful fact.
 
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steenkh said:
In my replies to Lowpro and Dancing David I had myself mentioned the self-repair mechanism and the fact that each cell runs semi-independent of each other. I cannot see why this should be an argument against my position.
They are demonstrations of specific areas where your analogy breaks down. Since your position appears to be "This analogy is reality", it's rather devistating to your position.

It seems that I have stepped on some toes here, and I am sorry for that.
It's not that. It's that your idea isn't new, and has some serious problems with it. Biology and computer science are very, very different fields, and while analogies can be useful they are very limited in what they can do. Your comments show some gaps in your understanding of biology (though you certainly understand computers), and THAT is mildly annoying. But it's a trite annoyance to almost everyone in this thread.

I cannot invest that much emotion in what I regard as a trivial, but possibly not very helpful fact.
What fact is that?

PartSkeptic said:
As an Director of Engineering hiring engineers in the USA and then working with engineers in other countries when I was a consultant I agree that there are problems with engineers.
;)

I take it you are not an engineer.
I'm a paleontologist, currently in an environmental consulting firm. However, my father and grandfather were both civil engineers. (Neither of which, incidently, has any of the problems you listed--their attention spans are quite long, they're dedicated to the point of insanity [an organ exploding was considered by my father to be a mild inconvenience], and they were both very precise [even in regards to how much precision is warranted in a given situation]). My childhood is a case-study in the differences between how engineers and geologists think.

Never retain the information? On what basis do you say that?
Every study on pedegogy that I or my wife (a science teacher) have ever read. Cramming does not allow for long-term retention of information. You may be different--you may have a didactic memory or something--but it's simply and demonstrably not a viable strategy for the overwhelming majority of the population.
 
snip...
I'm a paleontologist, currently in an environmental consulting firm. However, my father and grandfather were both civil engineers. (Neither of which, incidently, has any of the problems you listed--their attention spans are quite long, they're dedicated to the point of insanity [an organ exploding was considered by my father to be a mild inconvenience], and they were both very precise [even in regards to how much precision is warranted in a given situation]). My childhood is a case-study in the differences between how engineers and geologists think.

Every study on pedegogy that I or my wife (a science teacher) have ever read. Cramming does not allow for long-term retention of information. You may be different--you may have a didactic memory or something--but it's simply and demonstrably not a viable strategy for the overwhelming majority of the population.


Your father and grandfather were old school, and my comments only apply to most but not all younger engineers.

I will agree that cramming is no good for the majority of the population.

I make spelling and grammar mistakes now that I am getting older and having memory issues. Having had a few eye operations makes the situation worse because I know I have lost quite a few of the vision cells on my retinas due the scraping off of scar tissue.

Anyhow, I must thank you all and move on.
 
My two cents worth:

I had a zoology teacher who was of the opinion that the evolution theory was a "Fairy Tale". (her words) And I had a botany teacher who believed that the evidence was clear and obvious and that the fossil records detail the changes. At that time I was still an agnostic and kept an open mind. The botany teacher was most unconvincing and the zoology teacher won me and the entire group studying botany and zoology.

Here's a big problem with the evolution theory:
Nowadays, when a subset of a population is separated from the main body, the genetic diversity is much less than the main body and remains at about that same level indefinitely. In the case of the Mexican Cave Fish, the separation has been estimated to be as long as two million years, yet all the subsets and the main population are still the same species.

Here's another:
If the subset is too tiny, then the subsequent inbreeding eventually results in infertility or a heavy load of mutations that severely prejudices their viability. That condition is currently being faced by pedigree pet breeders.

Climbing "Mount Improbable" is not as simple as Richard Dawkins has explained it. Each development by series of mutation must be independent of each other yet result in full cooperation and they must synchronize with each other. One big one is the development of sexual reproduction. The developments (there are thousands) must occur independently in two subsets of the population simultaneously. (or nearly simultaneously) It is unreasonable to conclude that it occurred in only two individuals because the resultant inbreeding has terrible consequences.

Also, I still awaiting a credible theory or hypothesis on how multi-cellular organisms could have evolved from unicellular ones. The amount of necessary developments needed are staggering. I've lost count how many papers I've read on the subject.
 
My two cents worth:

I had a zoology teacher who was of the opinion that the evolution theory was a "Fairy Tale". (her words) And I had a botany teacher who believed that the evidence was clear and obvious and that the fossil records detail the changes. At that time I was still an agnostic and kept an open mind. The botany teacher was most unconvincing and the zoology teacher won me and the entire group studying botany and zoology.

Here's a big problem with the evolution theory:
Nowadays, when a subset of a population is separated from the main body, the genetic diversity is much less than the main body and remains at about that same level indefinitely. In the case of the Mexican Cave Fish, the separation has been estimated to be as long as two million years, yet all the subsets and the main population are still the same species.

Here's another:
If the subset is too tiny, then the subsequent inbreeding eventually results in infertility or a heavy load of mutations that severely prejudices their viability. That condition is currently being faced by pedigree pet breeders.

Climbing "Mount Improbable" is not as simple as Richard Dawkins has explained it. Each development by series of mutation must be independent of each other yet result in full cooperation and they must synchronize with each other. One big one is the development of sexual reproduction. The developments (there are thousands) must occur independently in two subsets of the population simultaneously. (or nearly simultaneously) It is unreasonable to conclude that it occurred in only two individuals because the resultant inbreeding has terrible consequences.

Also, I still awaiting a credible theory or hypothesis on how multi-cellular organisms could have evolved from unicellular ones. The amount of necessary developments needed are staggering. I've lost count how many papers I've read on the subject.

Sewall and Fisher solved that dilemma

You have to understand how genetic variance works in fitness models. Alleles each have variance which is shaped by internal variations (biochemistry) and reproduction fitness. When you have a separation of a population the variance coefficient changes because the mean will shift due to fitness. And fitness itself will change as well. That occurs at ALL separation events even if it's not a geological separation and possibly a phenotypic separation such as sexual selection. If the variance changes then allelic frequency WILL change.

So when you say "diversity" get's smaller that's untrue. Diversity is not determined just by the amount of organisms but by the amount of reproductions. Even in a small subset the diversity will always be larger if reproduction occurs (it doesn't always but because of the stochastic relationship relative to fitness what happens is that a new "fitness peak" will be pursued rather than the original fitness peak of the former population; again this is inevitable and has been observed time and time again) so again the diversity will actually be higher. Not as high as the original population but for the subset you tend to increase diversity barring extinction.

As to your example of the Mexican Tetra that "2 millions years" generalization is egregiously wrong. There are multiple lineages of cave adapted Tetras and not only that there have been some that have probably existed before and gone extinct (hint: the genetics of one lineage of mexican tetra actually did not adapt but were selected for which indicates a lineage that made the previous adaptions).

In the end what I'm gathering is that you haven't read countless papers on population genetics or the modern synthesis in general. And if you have then you aren't speaking to their points. You are confusing "species", a discrete category with "lineage" a continuous category and by far the more important one. Mexican Tetras are a a continued lineage but they are absolutely NOT the same species. Markov is your friend.

And you seem to lack comprehension of population genetics modeling and stochastic relationships of fitness and allelic frequency. If you understood them you would never have said that a sub population would have lower diversity (EDIT: Lower capacity for diversity maybe; depends on drift and subsequent fitness and this is due to sample mean not s). The only times that happens is when the population heads towards extinction; an event that fitness cannot allow other than through competition (BTW don't confuse "allele extinction" with organism extinction as alleles don't actually disappear but are silenced; in a population model this would seem like a decrease in diversity but more often than not the silencing improves fitness and the allele remains in the genome so no decrease in diversity). Added to that the effects of drift and selection in a smaller reproductively successful population will more often than not tend towards a new fitness peak and you'll have a speciation event.

As for unicellular to multicellular I am in a slight agreement that the development for multicellular organisms is staggering however the Theory of Evolution supports it so I cannot see how you are "waiting for a theory" on it unless you mean a theory relative to multicellular development WITHIN evolutionary theory. If you want those theories there are many: there is the endosymbiotic theory, symbiotic theory, and colonial differentiation theory. All are valid hypothesis however to ME what's most important is identifying the evolution of extracellular signalling. If we can identify that then we can further support those theories. extracellular signalling is what is required for development of multicellularity and tissue differentiation. They are VERY old, very conserved (and also a large part of most organism's genomes) very diverse. They're the key or so my biased belief is. I'm sure if Kotatsu were here he'd disagree and we'd have a fun time arguing. I miss him =(
 
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dgilman said:
I had a zoology teacher who was of the opinion that the evolution theory was a "Fairy Tale". (her words)
:eye-poppi I hope that zoology teacher was fired. No one that incompetant can possibly be an effective teacher.

And I had a botany teacher who believed that the evidence was clear and obvious and that the fossil records detail the changes.
The botany teacher was correct. The fossil record clearly shows the history of evolution--with the standard caveat that we don't have it all yet.

Here's a big problem with the evolution theory:
Nowadays, when a subset of a population is separated from the main body, the genetic diversity is much less than the main body and remains at about that same level indefinitely.
Felled at the first hurdle. You're taking an EXTREMELY short view of this--let's call it 100 years on the outside--and attempting to apply it universally. To put this into perspective, the Holocene--the most recent geologic unit, which is amazingly short--is 100 times that length of time. The fossil record for animals is 6 MILLION times longer.

You simply cannot say "We don't see increase in genetic variation in a few generations, therefore it doesn't happen." It may not happen in one or two, but it will happen in fifty or a hundred. Speciation is speculated to take around 10,000 generations.

And that's the second reason your argument fails here: you're not talking about evolution, but about speciation. Speciation is a consequence of evolution, yes, but it IS NOT evolution. Evolution would happen just fine if speciation never did.

In the case of the Mexican Cave Fish, the separation has been estimated to be as long as two million years, yet all the subsets and the main population are still the same species.
Even if this were true, this is cherry-picking. Of course you can find species that haven't evolved very far in a long time--modern evolutionary theory doesn't preclude that. However, you're ignoring Nylonase and all the rest of the creatures that have speciated since humans have kept track and the even more numerous organisms evolving just now.

If you don't like the Cracked.com article, you can look up Mojave Greens. Rattlesnakes in general have evolved novel traits relateively recently (specifically smaller rattles, due to human activities). The entire field of medicine could justifiably be included as an example of rapid evolution.

If the subset is too tiny, then the subsequent inbreeding eventually results in infertility or a heavy load of mutations that severely prejudices their viability. That condition is currently being faced by pedigree pet breeders.
The underlying assumption here is that mutations are always bad. This simply isn't true. Some are beneficial, and most are in fact neutral. What inbreeding actually does is allow traits to more rapidly reach fixation, which is bad if the trait is bad, but it's actually good if a trait is good. And the mutations are the raw material of evolution--what you are saying is in fact that evolution cannot occur because there's too much fuel for it!

Each development by series of mutation must be independent of each other yet result in full cooperation and they must synchronize with each other.
This is not necessarily true.

I also want to mention that Dawkins isn't exactly a god among evolutionary biologists (which, given the rest of your post, you REALLY should know). de Vrise is my current favorite. Gould is always popular. Valentine is good, and Eldritch is better. Dawkins is a bit player, really, among researchers. His strength is, essentially, advertisement.

The developments (there are thousands) must occur independently in two subsets of the population simultaneously.
This doesn't even make sense. What makes you think that two sexes constitute two separately evolving subsets of a population? The reality is that in sexually reporducing organisms the two sexes constitute a single population. Hardy-Weinburg Equilibrium proves this. I'd have more sympathy for you if you didn't pretend that you understood evolutionary theory, by the way--this is Creationist drivel at its worst, something that no one who understands biology should fall for. Different sexes evolved AFTER sexual selection, and evolved IN THE SAME POPULATION.

Also, I still awaiting a credible theory or hypothesis on how multi-cellular organisms could have evolved from unicellular ones.
How hard are you looking? Here are two articles on exactly that, found via thirty seconds of googling.

The amount of necessary developments needed are staggering. I've lost count how many papers I've read on the subject.
I find that very hard to believe, considering that I've read a fair number and the developments aren't really that bad. And there are modern analogs. Bryozoans aren't terribly uncommon, after all.

Secondly, are you seriously suggesting that because we can't fully explain something to your satisfaction RIGHT NOW, we should therefore abandon the theoretical framework of the question entirely? This is insane. This is an area of active research, as you should well know, and there are multiple competing theories. We may not know enough to answer the question--but that in no way proves that we NEVER will know enough, which is what you are essentially arguing for. What we have may not satisfy you, but there's a really simple solution to that: jump in and contribute. Even if it's just writing letters critiquing the papers to the relevant journals. To say "We don't know this one aspect, therefore we should abandon the theory" is to ignore the mountains of evidence (I've personally seen literally tonnes of it, on two continents) for the theory.
 
O.o Dinwar his name is Niles Eldredge, not Eldritch. If it was Eldritch it'd be far more sinister and the Old Ones would be more than myth...actually I wish it was Eldritch now.

Also to hop onto Dinwar's point and re-emphasize mine population genetics is key in the determination of genetic variance and fitness and every time I hear someone mention a "subset" of the population or a population split decreasing variation I want to slap them. If they were a single population and there was a split then BOTH resulting populations would have fewer individuals (freakin' DUH!) so the entire scenario is stillborne on one hand but misunderstands population genetics on the other. Variation is a function of reproduction. Every individual organism can have completely different genetic makeups (in fact depending on specifics, they do) so it's not about what you start out with, it's about how far that stuff can actually take you. And as long as you can get some reproduction the population WILL have an increased genetic variation barring trends towards extinction
 

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