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Evolution conflict and division

Job 33:6

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It seems that you are hearing something different than what I am saying. Since your response overcorrects by treating legitimate questions about sufficiency and scope as if they were denials of observation. No one here is claiming that gene duplication, divergence, co-option, or regulatory evolution are hypothetical or unreal. They are real, observed processes. The issue is not their existence, but what they have actually been shown to explain, and at what scale.

Take Hox gene duplication as an example. Comparative genomics clearly shows expansion and diversification of Hox clusters in vertebrates. What this demonstrates is elaboration and modulation of an already deeply constrained regulatory framework, not the origin of body-plan coordination itself. Hox genes only function within a pre-existing developmental architecture involving positional information, chromatin regulation, transcriptional control, and cell signaling networks. Duplication expands degrees of freedom within that framework; it does not explain how the framework originated or why partial disruptions are not catastrophically deleterious. That distinction matters.

Similarly, co-option and regulatory change are powerful concepts, but they often function as retrospective descriptions rather than forward-looking causal demonstrations. Saying that a gene or module was co-opted tells us that it now plays a new role, not how the intermediate stages avoided loss of fitness while transitioning between roles. In many systems, small regulatory changes are not benign—they are harmful. The fact that some regulatory tweaks produce innovation does not establish that such outcomes are common or that they adequately explain the rise of highly interdependent systems.

Experimental evolution is frequently cited here, but its limits are rarely acknowledged. Laboratory experiments overwhelmingly demonstrate optimization, loss, simplification, or repurposing of existing functions, usually over short evolutionary distances and within tightly controlled environments. Cases where enzymes acquire genuinely new catalytic roles almost always begin with promiscuous activity already present and proceed through incremental refinement. This is impressive—but it still presupposes a rich functional starting point. It does not show how systems requiring multiple coordinated novelties arise without guidance or prior structure.

So the disagreement is not about whether evolutionary mechanisms operate, nor whether they can produce novelty in some sense. It is about whether the observed instances of novelty scale to explain the emergence of tightly integrated biological systems, where function depends on multiple components being present together, correctly regulated, and mutually compatible. Demonstrating that mechanisms can tweak, expand, or repurpose existing systems is not the same as demonstrating that they generate such systems from less integrated precursors.

In short, these mechanisms are empirically real—but the question remains whether their demonstrated capacities are causally adequate for the explanatory work they are often asked to perform. Asking that question is not misrepresentation; it is how explanatory claims are properly evaluated in any historical science.

While you correctly acknowledge that gene duplication, divergence, co-option, and regulatory evolution are real, observed mechanisms, your critique sets an impossible standard of proof by demanding that every step in the evolution of complex, integrated systems be historically documented. Evolutionary biology, like all historical sciences, does not, and cannot, observe every intermediate state that occurred millions of years ago. Instead, it uses comparative genomics, developmental biology, and experimental evolution to infer plausible pathways. These mechanisms have been directly observed producing novel functions and integrating into existing systems, demonstrating that stepwise, selectable intermediates exist, even if we cannot witness every historical transition. Treating this inferential evidence as insufficient misrepresents how scientific explanation works in historical contexts.

Moreover, your argument conflates the origin of a framework with the refinement of a system built upon it. It is entirely expected that evolution builds complexity from pre-existing components; that is precisely how modularity, co-option, and duplication function. Experimental evolution repeatedly shows that partially functional intermediates can be refined into fully integrated systems. Comparative studies, such as Hox gene cluster diversification, illustrate how duplication and regulatory evolution expand functionality while preserving viability. Demanding proof of “origins from scratch” ignores the evidence that evolution works by modifying and integrating components, not by spontaneously generating fully formed systems. Your concern highlights philosophical incredulity, not a genuine failure of evolutionary mechanisms to explain complex, coordinated biological systems.

Much of your critique conflates evolution with abiogenesis, which creates a fundamental category error. Evolutionary theory explains how life changes and diversifies after self-replication already exists; it does not, and is not meant to, explain how the first functional molecules, regulatory frameworks, or cells arose from nonliving matter. Mechanisms like gene duplication, co-option, and regulatory evolution operate on pre-existing, partially functional components, and both comparative genomics and experimental evolution show how these mechanisms can generate new, integrated functions over time. Demanding that evolution demonstrate the origin of life itself or fully document every intermediate step sets an impossible standard and misrepresents the explanatory scope of the theory.
 
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Mercy Shown

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The observed evolution of a new enzyme system demonstrates exactly such a process. Reality beats anyone's guesses.
Observed cases of enzyme evolution demonstrate that existing biochemical systems can be modified, optimized, or repurposed, and no one here is disputing that. But citing “reality” does not settle the question being asked unless the example actually matches the explanatory claim. In every observed case, the new enzyme system arises from pre-existing enzymes, folds, catalytic residues, regulatory context, and metabolic networks. The novelty is real—but it is bounded by, and dependent upon, an already information-rich starting point.

What remains unaddressed is whether such observations scale to explain the emergence of tightly integrated systems that require multiple coordinated components to be present together before any selectable function exists. Demonstrating that an enzyme can improve activity, broaden specificity, or refine regulation does not show how the underlying architecture—the code, folding constraints, interaction networks, and control logic—originated. Reality does beat guesses, but only when the evidence actually covers the causal territory being claimed.

So the issue is whether enzymes evolve—it is whether the observed processes adequately explain the origin of complex, interdependent biological systems rather than presupposing them at every step.

If you think that they do please elucidate in your own words.
 
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The Barbarian

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Calling “novel, tightly specified biological information” a creationist buzzword does not engage the argument—it avoids it by relabeling it.
Until now you declined to define it. That's exactly what a buzzword is. But now let's look at your attempt to make a testable definition of the term and see if that is required for evolution to produce novel traits:
It refers to biological features that require precise coordination among multiple components to function at all, rather than incremental tuning of an already-working system.
Ironically, you've accepted the most extreme evolutionist position. Extreme adaptionists assume that all evolutionary change can be explained by natural selection, a position refuted by Lewontin and Gould:

In the introduction, Gould and Lewontin describe what they call the shortcomings of the adaptationist program using an analogy. The authors describe the spandrels in the church of St. Mark's Cathedral in Venice, Italy. After the cathedral was built, artists painted images in the spandrels. If we investigated the spandrels without that information, we might conclude that the architects designed the cathedral to have spandrels to bear images. Spandrels, then, provide an example of how something that looks intricately designed may lead us to believe that architects purposefully
created the spandrels for the decorations themselves. However, Gould and Lewontin note that the spandrels result when builders place a domed ceiling upon a square room that has arched doorways, and although spandrels only exist for structural purposes, they also host artistic decorations. Any- time a building has domed ceiling on a square room with arched doorways, the structure will have spandrels. Lewontin and Gould argue that if we understand the origin of the spandrels, then we can analogously understand the origin of some biological structures. Maybe, Gould and Lewontin hypothesize, developmental constraints are the cause of many traits, as they explain the origin of particular traits better than does adaptation, just as architectural constraints explain the origin of spandrels better than does the intricate artwork inside them.


The claim is narrower and more precise: incremental evolutionary pathways must preserve function at each step, and the space of viable intermediates is far more constrained than is usually acknowledged.
See above. The actual constraint is that any incremental change must not significantly harm the individual. And often, such as in the case of bacterial flagella, the initial steps were "spandrels", having nothing to do with motion.

but recognizing that biological information is functionally constrained. Sequences must do specific things—fold, bind, regulate, coordinate—to be selectable at all.
Here, you are again confusing information with function. Mammals retain genetic information for a third eye, which still exists in some reptiles. But in mammals, the information no longer produces a light-sensing organ.
 
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The Barbarian

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Observed cases of enzyme evolution demonstrate that existing biochemical systems can be modified, optimized, or repurposed, and no one here is disputing that. But citing “reality” does not settle the question being asked unless the example actually matches the explanatory claim. In every observed case, the new enzyme system arises from pre-existing enzymes, folds, catalytic residues, regulatory context, and metabolic networks.
That was Darwin's point. Evolution doesn't produce anything de novo. Every new trait is a modification of something already there. That's how it works.
The novelty is real—but it is bounded by, and dependent upon, an already information-rich starting point.
Or at least a starting point. It could be a relatively information-poor starting point. It had been assumed that most new genes arise by gene duplication and mutation of one of the copies. Which has been observed. But it has since been shown that many new genes are produced by mutation of non-coding DNA. By the creationist definition of "information", non-coding DNA has no information. Seems like an ideological dilemma for creationists/IDers.
 
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Mercy Shown

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While you correctly acknowledge that gene duplication, divergence, co-option, and regulatory evolution are real, observed mechanisms, your critique sets an impossible standard of proof by demanding that every step in the evolution of complex, integrated systems be historically documented. Evolutionary biology, like all historical sciences, does not, and cannot, observe every intermediate state that occurred millions of years ago. Instead, it uses comparative genomics, developmental biology, and experimental evolution to infer plausible pathways. These mechanisms have been directly observed producing novel functions and integrating into existing systems, demonstrating that stepwise, selectable intermediates exist, even if we cannot witness every historical transition. Treating this inferential evidence as insufficient misrepresents how scientific explanation works in historical contexts.
This is still a strawman argument. I am not looking for historical connections. I am looking for a plausible explanation for the origin of complex integrated systems. At this point there are none. Now I suppose you would jump to God for your explanation, but that is simply pasting evolution into religion which, with all due respect, I think is preposterous. Although I coud be wrong and you are an atheist. But the general point still stands.
Moreover, your argument conflates the origin of a framework with the refinement of a system built upon it. It is entirely expected that evolution builds complexity from pre-existing components; that is precisely how modularity, co-option, and duplication function. Experimental evolution repeatedly shows that partially functional intermediates can be refined into fully integrated systems. Comparative studies, such as Hox gene cluster diversification, illustrate how duplication and regulatory evolution expand functionality while preserving viability. Demanding proof of “origins from scratch” ignores the evidence that evolution works by modifying and integrating components, not by spontaneously generating fully formed systems. Your concern highlights philosophical incredulity, not a genuine failure of evolutionary mechanisms to explain complex, coordinated biological systems.
You still think I am arguing against evolution. I think you and The Barbarian have argued that point with other posters so many times that you can't hear what I am trying to discuss. Be honest, where do you believe the pre-existing components come from. And by the way, you have to be aware that evolution does often consern itself with this matter.

Charles Darwin

Darwin openly avoided the problem of life’s origin and recognized its opacity:
“It is mere rubbish, thinking at present of the origin of life; one might as well think of the origin of matter.”
— Letter to J.D. Hooker, 1871
This is often omitted when Darwin is cited, but it shows he understood that origin-of-life questions were beyond the explanatory reach of his theory.

Francis Crick (Co-discoverer of DNA)
Crick was strikingly frank about the problem:
“The origin of life appears at the moment to be almost a miracle, so many are the conditions which would have had to have been satisfied to get it going.”
— Life Itself (1981)
Crick did not deny natural explanations—but he openly acknowledged the extreme improbability involved.

Leslie Orgel (Pioneer of origin-of-life research)
Orgel is often cited precisely because of his honesty:

“It would be a miracle if a strand of RNA ever appeared on the primitive Earth.”
— Origins of Life and Evolution of the Biosphere (1992)
And more famously:
“At present there is no direct evidence to favor any one of the many theories that have been proposed.”

Paul Davies (Physicist & biologist-adjacent thinker)
Davies emphasizes the explanatory gap:
“The problem of how life began is extremely hard, and despite decades of research we are no closer to knowing the answer.”
— The Fifth Miracle (1999)

Eugene Koonin (NIH, evolutionary biologist)
Koonin admits the speculative nature of current models:
“All scenarios for the origin of life are extremely speculative, and none is supported by anything resembling direct evidence.”
— Biology Direct (2007)

Stuart Kauffman (Complexity theorist)
Kauffman emphasizes the lack of a settled framework:

“We do not know the laws of self-organization that could generate life from nonlife.”
— Investigations (2000)
Jack Szostak (Nobel Prize–winning biologist)

Even among leading experimentalists:
“We have a reasonable understanding of some of the pieces, but how they fit together to form the first living system remains unknown.”

Gerald Joyce (Salk Institute)

A leader in RNA-world research:
“The RNA world is a useful hypothesis, but it does not solve the origin-of-life problem. It pushes it back.”

None of these scientists invoke supernatural explanations in their work. What they do acknowledge is that the origin of life remains an open, unsolved problem marked by speculation, missing mechanisms, and enormous explanatory challenges. Recognizing that fact is not anti-science—it is intellectual honesty, fully consistent with the history of biology itself. In order for life to exist, we need complex and tightly integrated systems.
 
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The Barbarian

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So the issue is whether enzymes evolve—
They demonstrably do. No point in denial.
it is whether the observed processes adequately explain the origin of complex, interdependent biological systems rather than presupposing them at every step.
A regulated enzyme system is surely a complex, intedependent biological system. And that has been directly observed to evolve
If you think that they do please elucidate in your own words.
We have abundant evidence for complex immune systems evolving in chordates. In fact, there are cases of these systems formerly involved in other functions.

Transfusion Medicine Reviews

Volume 33, Issue 4, October 2019, Pages 199-206

Complement and Coagulation: Cross Talk Through Time

The horseshoe crab provides a truly ancient living example where nature has combined the functions of complement and coagulation [5]. Evolution did not abandon this cascade protein system but rather enhanced it, and homologs of a more complex complement and coagulation system are revealed in the DNA code of the lamprey, one of the earliest vertebrates.

I've asked you several times to show us any step between prokaryotes like bacteria to vertebrates that could not have evolved. So far you haven't been able to provide one. That's a very telling fact.
 
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Job 33:6

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This is still a strawman argument. I am not looking for historical connections. I am looking for a plausible explanation for the origin of complex integrated systems. At this point there are none. Now I suppose you would jump to God for your explanation, but that is simply pasting evolution into religion which, with all due respect, I think is preposterous. Although I coud be wrong and you are an atheist. But the general point still stands.

You still think I am arguing against evolution. I think you and The Barbarian have argued that point with other posters so many times that you can't hear what I am trying to discuss. Be honest, where do you believe the pre-existing components come from. And by the way, you have to be aware that evolution does often consern itself with this matter.

Charles Darwin

Darwin openly avoided the problem of life’s origin and recognized its opacity:
“It is mere rubbish, thinking at present of the origin of life; one might as well think of the origin of matter.”
— Letter to J.D. Hooker, 1871
This is often omitted when Darwin is cited, but it shows he understood that origin-of-life questions were beyond the explanatory reach of his theory.

Francis Crick (Co-discoverer of DNA)
Crick was strikingly frank about the problem:
“The origin of life appears at the moment to be almost a miracle, so many are the conditions which would have had to have been satisfied to get it going.”
— Life Itself (1981)
Crick did not deny natural explanations—but he openly acknowledged the extreme improbability involved.

Leslie Orgel (Pioneer of origin-of-life research)
Orgel is often cited precisely because of his honesty:

“It would be a miracle if a strand of RNA ever appeared on the primitive Earth.”
— Origins of Life and Evolution of the Biosphere (1992)
And more famously:
“At present there is no direct evidence to favor any one of the many theories that have been proposed.”

Paul Davies (Physicist & biologist-adjacent thinker)
Davies emphasizes the explanatory gap:
“The problem of how life began is extremely hard, and despite decades of research we are no closer to knowing the answer.”
— The Fifth Miracle (1999)

Eugene Koonin (NIH, evolutionary biologist)
Koonin admits the speculative nature of current models:
“All scenarios for the origin of life are extremely speculative, and none is supported by anything resembling direct evidence.”
— Biology Direct (2007)

Stuart Kauffman (Complexity theorist)
Kauffman emphasizes the lack of a settled framework:

“We do not know the laws of self-organization that could generate life from nonlife.”
— Investigations (2000)
Jack Szostak (Nobel Prize–winning biologist)

Even among leading experimentalists:
“We have a reasonable understanding of some of the pieces, but how they fit together to form the first living system remains unknown.”

Gerald Joyce (Salk Institute)

A leader in RNA-world research:
“The RNA world is a useful hypothesis, but it does not solve the origin-of-life problem. It pushes it back.”

None of these scientists invoke supernatural explanations in their work. What they do acknowledge is that the origin of life remains an open, unsolved problem marked by speculation, missing mechanisms, and enormous explanatory challenges. Recognizing that fact is not anti-science—it is intellectual honesty, fully consistent with the history of biology itself. In order for life to exist, we need complex and tightly integrated systems.

"where do you believe the pre-existing components come from."

This has been pointed out before but I'll repeat it, your argument repeatedly conflates evolution with the origin of life, focusing on the question of how the very first living systems arose. Evolutionary theory does not attempt to explain abiogenesis; it explains how life changes, diversifies, and builds complexity after self-replicating systems already exist. Mechanisms like gene duplication, divergence, co-option, and regulatory evolution operate on pre-existing, partially functional components, which we can observe, measure, and experimentally manipulate today. The fact that new systems depend on these components is not a limitation, it is the fundamental way evolution produces complexity. Demanding a fully documented origin of the first functional molecules, regulatory networks, or metabolic frameworks sets an impossible standard for any historical science.

Citing the difficulty of explaining life’s origin as a reason to doubt evolution is an argument from incredulity, not a scientific critique. Comparative genomics, experimental evolution, and developmental biology all demonstrate that stepwise, selectable intermediates can integrate into new, coordinated systems, producing novelty over time. Evolution works by modular, incremental assembly, building new architectures from functional building blocks. Pointing to gaps in abiogenesis or the origin of pre-existing components does not undermine the explanatory power of evolution; it merely highlights a separate field of study. Evolutionary mechanisms are empirically real, sufficient to explain the rise of complex, integrated biological systems once life exists, and their validity is independent of questions about the first living cell.
 
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The Barbarian

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Darwin openly avoided the problem of life’s origin and recognized its opacity:
“It is mere rubbish, thinking at present of the origin of life; one might as well think of the origin of matter.”
— Letter to J.D. Hooker, 1871
This is often omitted when Darwin is cited, but it shows he understood that origin-of-life questions were beyond the explanatory reach of his theory.
I pointed this out to you, earlier. If God had not created the earth to bring forth life, and just magically poofed it into existence, evolution would work exactly as it does today.

Not an issue for evolutionary theory.
 
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Mercy Shown

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Until now you declined to define it. That's exactly what a buzzword is. But now let's look at your attempt to make a testable definition of the term and see if that is required for evolution to produce novel traits:

In biology, information isn’t just “stuff happening” — it’s instructions that have to be very specific to work. Novel means new — not just a copy or a small tweak of something that already exists. Tightly specified means very exact — most changes don’t work, and only a few very precise arrangements do. Biological information means instructions inside living things, like DNA sequences that tell a cell how to build proteins, control timing, or coordinate parts of the body.

So together, “novel, tightly specified biological information” means: New biological instructions that must be arranged in a very precise way to function at all.

An analogy: a recipe. Imagine a recipe for baking a cake. If you change “2 cups of flour” to “2 cups of sand,” it doesn’t work. If you scramble the steps, it doesn’t work.

Most random changes make the cake worse or completely inedible. That recipe is tightly specified — only a narrow range of changes still works.

Now imagine not just improving a cake recipe, but inventing a brand-new recipe for a completely different food, like turning a cake recipe into one for pizza. That’s novel information.

How this applies to biology? In biology:

A protein must fold into a specific 3-D shape. It must bind to the right molecules. It must be made at the right time and place. It must work with other proteins and systems.

Out of millions of possible DNA sequences, only a tiny fraction do anything useful. Most changes break the system. So when people talk about novel, tightly specified biological information, they’re talking about:

New instructions that only work if many parts are just right and are coordinated with other parts of the cell or organism

Why does this matters in evolution discussions. Evolution explains how existing systems can be tweaked, improved, or adjusted.

The debate starts when we ask:

How do completely new, highly coordinated instruction sets arise in the first place?

That’s what this phrase is trying to point to.

Ironically, you've accepted the most extreme evolutionist position. Extreme adaptionists assume that all evolutionary change can be explained by natural selection, a position refuted by Lewontin and Gould:

In the introduction, Gould and Lewontin describe what they call the shortcomings of the adaptationist program using an analogy. The authors describe the spandrels in the church of St. Mark's Cathedral in Venice, Italy. After the cathedral was built, artists painted images in the spandrels. If we investigated the spandrels without that information, we might conclude that the architects designed the cathedral to have spandrels to bear images. Spandrels, then, provide an example of how something that looks intricately designed may lead us to believe that architects purposefully
created the spandrels for the decorations themselves. However, Gould and Lewontin note that the spandrels result when builders place a domed ceiling upon a square room that has arched doorways, and although spandrels only exist for structural purposes, they also host artistic decorations. Any- time a building has domed ceiling on a square room with arched doorways, the structure will have spandrels. Lewontin and Gould argue that if we understand the origin of the spandrels, then we can analogously understand the origin of some biological structures. Maybe, Gould and Lewontin hypothesize, developmental constraints are the cause of many traits, as they explain the origin of particular traits better than does adaptation, just as architectural constraints explain the origin of spandrels better than does the intricate artwork inside them.

What is wrong with that? Is this not a discussion about evolution?
See above. The actual constraint is that any incremental change must not significantly harm the individual. And often, such as in the case of bacterial flagella, the initial steps were "spandrels", having nothing to do with motion.
What does this have to do with the topic?
Here, you are again confusing information with function. Mammals retain genetic information for a third eye, which still exists in some reptiles. But in mammals, the information no longer produces a light-sensing organ.
Again, what does this have to do with the topic. How does this affect the origin of novel, tightly specified biological information? Tell me where you think they came from?
 
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The Barbarian

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In biology, information isn’t just “stuff happening”
Specifically, it is the "entropy." Mathematically, the uncertainty of a message. If you know for certain what the genome of an individual will be, then the information in that genome is zero. If there are two possible alleles for a given gene then the information is greater than zero.

Genomes are containers of biological information, which direct the cell functions and the evolution of organisms. Combinatorial, probabilistic, and informational aspects are fundamental ingredients of any mathematical investigation of genomes aimed at providing mathematical principles for extracting the information that they contain.

Infogenomics The Informational Analysis of Genomes

Vincenzo Manca, Vincenzo Bonnici

So together, “novel, tightly specified biological information” means: New biological instructions that must be arranged in a very precise way to function at all.
Dr Hall's bacteria disagree with you The first steps in the evolution of that enzyme system featured a very ineffective enzyme that was hardly better than a generic saccharase. But a series of mutations gradually produced much better enzymes. From low to very precise arrangements.

An analogy: a recipe. Imagine a recipe for baking a cake. If you change “2 cups of flour” to “2 cups of sand,” it doesn’t work. If you scramble the steps, it doesn’t work.
But if you go from "2 cups of flour to 2.3 cups of flour" it still works. I got up early today, and made biscuits. I got a bag of soft flour recently and knowing it would produce flakier biscuits, I changed the flour amount by guestimate. Turned out very well. I suppose that if I had put sand in it, things wouldn't have gone as well. Natural selection handles that kind of thing.
1768151080702.jpeg

Most random changes make the cake worse or completely inedible. That recipe is tightly specified — only a narrow range of changes still works.
You've stumbled onto another of Darwin's discoveries. A well-adapted recipe will not change much so long as the environment remains the same. But even then, there might be open niches where random variation might work out. Suppose I'm making a chocolate cake with a cake mix. But I'm not paying much attention this morning and forget the water, add oil instead of butter, and put in one less egg than I should. And the result is ... brownies. BTW, this actually works to produce pretty good brownies.

Random variation produces a novel result. Granted, most such goofs would result in something inedible or at least disgusting. But there you are.

How does this affect the origin of novel, tightly specified biological information? Tell me where you think they came from?
You've lost focus again. This isn't about the origin of life. God says the earth brought forth life. Sounds good to me. If you have a different opinion, it doesn't matter at all to evolution.

My question is still on the table. What step between prokaryotes and vertebrates do you think was impossible to have evolved? And if you can't find one, what makes you think there is one?

Your concern seems to be with the origin of life, rather than evolution. But there is considerable evidence that God has it right in saying that the earth brought forth live. It's noteworthy that the the one absolutely essential organelle for cellular life is also the simplest one. Would you like to talk about that?




 
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The Barbarian

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See above. The actual constraint is that any incremental change must not significantly harm the individual. And often, such as in the case of bacterial flagella, the initial steps were "spandrels", having nothing to do with motion.

What does this have to do with the topic?
It's just an unrealistic belief that each step must be "completely new, highly coordinated instruction."
 
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Mercy Shown

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I pointed this out to you, earlier. If God had not created the earth to bring forth life, and just magically poofed it into existence, evolution would work exactly as it does today.

Not an issue for evolutionary theory.
Of course this brings up a topic for a whole new topic.
 
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Mercy Shown

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Specifically, it is the "entropy." Mathematically, the uncertainty of a message. If you know for certain what the genome of an individual will be, then the information in that genome is zero. If there are two possible alleles for a given gene then the information is greater than zero.
Genomes are containers of biological information, which direct the cell functions and the evolution of organisms. Combinatorial, probabilistic, and informational aspects are fundamental ingredients of any mathematical investigation of genomes aimed at providing mathematical principles for extracting the information that they contain.

Infogenomics The Informational Analysis of Genomes

Vincenzo Manca, Vincenzo Bonnici

You’re right that entropy, in Shannon’s sense, measures uncertainty. If you already know exactly which allele someone has, then there’s no uncertainty left, so Shannon information is zero. If there are two possible alleles, uncertainty goes up, and Shannon’s number goes up too. That part is correct.

Where the confusion starts is what that number actually tells us.

Shannon entropy tells us how unpredictable something is — not how useful or meaningful it is. A shuffled deck of cards has high entropy because you don’t know the order, but it doesn’t do anything. A computer program, on the other hand, has very low randomness but can do something amazing, like run a game or control a rocket.

Genomes really are information containers, but they are more like instruction manuals than random messages. The DNA sequence has to be very specific so the cell can build the right proteins at the right time. Most random changes increase uncertainty but break the instructions.

Here’s a simple example:

If you randomly change letters in a recipe, the uncertainty goes up. But the cake is ruined. So even though entropy increased, useful information was lost.

When biologists say genomes contain information, they usually mean functional instructions, not just uncertainty. Shannon entropy can help study patterns in DNA, but it does not measure whether a gene works, folds properly, or helps the organism survive.

So the key idea is:

Entropy = how unpredictable something is

Biological information = instructions that actually work

They are related, but they are not the same thing.
Dr Hall's bacteria disagree with you The first steps in the evolution of that enzyme system featured a very ineffective enzyme that was hardly better than a generic saccharase. But a series of mutations gradually produced much better enzymes. From low to very precise arrangements.
Dr. Hall’s bacteria don’t actually disagree with what I’m saying — they illustrate it.

In that experiment, the bacteria already had:

DNA

proteins that could fold

enzymes that already worked a little

a working cell with metabolism and regulation

The starting enzyme wasn’t random junk. It was a generic enzyme that already had the right shape and chemistry to do something similar. Natural selection could then improve it step by step, making it more precise over time.

That’s an important point: selection can improve something that already works, even if it works poorly at first. No one is denying that.

What this does not show is how a completely new enzyme system appears from nothing. The experiment didn’t start with random DNA and end with a working enzyme. It started with an existing enzyme scaffold and refined it.

So yes:

The enzyme went from “not very good” to “much better”

Precision increased over time

That would be real evolution

But the experiment presupposes the very things under discussion:

functional proteins

folding rules

catalytic chemistry

cellular machinery


But if you go from "2 cups of flour to 2.3 cups of flour" it still works. I got up early today, and made biscuits. I got a bag of soft flour recently and knowing it would produce flakier biscuits, I changed the flour amount by guestimate. Turned out very well. I suppose that if I had put sand in it, things wouldn't have gone as well. Natural selection handles that kind of thing.
View attachment 375239
Your biscuit did not work out well due to natural selection. It seems your "biscuit" remained steadfastly a biscuit, resisting any evolutionary pressures toward becoming a ciabatta roll.
You've stumbled onto another of Darwin's discoveries. A well-adapted recipe will not change much so long as the environment remains the same. But even then, there might be open niches where random variation might work out. Suppose I'm making a chocolate cake with a cake mix. But I'm not paying much attention this morning and forget the water, add oil instead of butter, and put in one less egg than I should. And the result is ... brownies. BTW, this actually works to produce pretty good brownies.
You are fighting a strawman again. We were discussing the origins of complex biological systems which can't be explined through natural selection.
Random variation produces a novel result. Granted, most such goofs would result in something inedible or at least disgusting. But there you are.
Random variation can produce something new — that part is true — but “new” does not automatically mean “useful” or “informative” in the biological sense.


Think about cooking. If you randomly change ingredients in a recipe, you’ll almost always get something inedible. Once in a while, you might stumble onto something interesting. But even then, that “new” dish only works because you already had a recipe structure, cooking tools, and ingredients that were compatible. You didn’t invent cooking itself by accident.


In biology, random mutations are like random recipe changes. Most make things worse or break them. Very rarely, one improves an existing function. Natural selection can then keep that improvement and build on it. That’s real evolution, and it’s well documented.


But this only works because the system already exists. The cell already knows how to read DNA, fold proteins, and run metabolism. Random variation doesn’t explain where those instructions and systems came from in the first place — it only explains how they can be tweaked once they’re there.


So yes, random variation can lead to something new now and then. But novel results depend on a pre-existing framework, and that framework is exactly what’s being questioned.
You've lost focus again. This isn't about the origin of life. God says the earth brought forth life. Sounds good to me. If you have a different opinion, it doesn't matter at all to evolution.
No, I have not lost focus. We have been having two seperate conversations. You defending evolution and I discussing the conundrum of the formation of complex biological systems.
My question is still on the table. What step between prokaryotes and vertebrates do you think was impossible to have evolved? And if you can't find one, what makes you think there is one?
Although this is off topic, I will answer it for you even though I am not attacking evolution perse in this thread. Among the many transitions between prokaryotes and vertebrates, the most widely recognized challenge for evolutionary theory is the origin of the eukaryotic cell. Prokaryotes are relatively simple cells without nuclei or complex internal organization, while eukaryotic cells possess nuclei, mitochondria, elaborate membrane systems, and tightly coordinated gene regulation. Endosymbiosis provides a strong explanation for the origin of mitochondria and chloroplasts, but it does not fully account for how the nucleus arose, how multiple genomes became integrated into a single regulatory system, or how complex intracellular architecture and timing emerged together. Because all animals and plants are eukaryotic, this transition is foundational, and its rarity in the history of life highlights its difficulty.

A second major challenge is the origin of complex multicellularity with differentiated cell types. While simple multicellular organisms exist, complex multicellularity requires cells to cooperate, specialize, communicate, and sometimes undergo programmed death for the benefit of the organism. This runs counter to the usual expectation of selection acting at the individual cell level. The fact that complex multicellularity evolved only a few times suggests that it is not an easy or inevitable outcome of evolution.

Closely related to this is the emergence of developmental programs that guide embryological growth. Vertebrate development depends on precise genetic instructions that establish body axes, organ placement, and timing. Genes such as Hox genes play central roles, but they function only within highly coordinated regulatory networks. Partial or poorly tuned developmental systems often result in severe defects, raising questions about how such programs could evolve gradually when intermediate stages may not be viable.

Another significant hurdle is the origin of nervous systems, especially centralized brains. Neurons must transmit electrical signals and form accurate connections to specific targets. A poorly wired nervous system is often worse than none at all. This raises the challenge of explaining how intermediate stages could provide a selectable advantage rather than harm the organism.

The emergence of uniquely vertebrate features also presents difficulties. Vertebrates possess internal skeletons, complex immune systems, advanced sensory organs, and neural crest cells. Neural crest cells are particularly challenging because they migrate throughout the developing embryo and give rise to diverse tissues, all under precise genetic control. Errors in this system are often lethal, indicating a high level of interdependence among its components.
Your concern seems to be with the origin of life, rather than evolution. But there is considerable evidence that God has it right in saying that the earth brought forth live. It's noteworthy that the the one absolutely essential organelle for cellular life is also the simplest one. Would you like to talk about that?



The origin of life requires comlex systems.
 
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Job 33:6

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Of course this brings up a topic for a whole new topic.
Indeed. Your arguments are focused on origins, not mechanisms of evolution once they're already present.

And remember, the theory of evolution doesn't have to have explanations for all of the billions of life forms over all of earth history, in order to be true. With every theory, there are always things that are unknown, and that are continually being discovered. This isn't an argument against the theory. Gravity exists, and we all still have questions about the theory of gravity. Atoms exist, we still have questions about atomic theory. Any and every theory that exists has unanswered questions that relate to them. That's not an argument against these theories. It's just the reality of the world we live in.

Also, arguing that there are questions that remain, is not itself an argument for intelligent design either. People get this confused a lot. You cannot make a case for something other than evolution simply by attacking evolution. You have to have your own independent mechanism to share. Otherwise your critiques come off as personal incredulity and few people would find it convincing.

In order to truly make a claim against the theory of evolution, you would need a competing theory with better explanatory power and mechanisms. And obviously, at this time in history and since the 1800s, no other theory even comes close to competing. Maybe some day. But right now, there isn't anything remotely competitive with Darwin's theory of evolution, or the modern synthesis.

We are all Christians here, and we are all creationists by extension, but let's be clear on this, intelligent design is not a competing theory. Indeed it has no supporting mechanisms and itself is not a theory at all.

So it is fine to express personal incredulity. Especially with abiogenesis. But, without alternative mechanisms, you may as well be debating with a stone wall.
 
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The Barbarian

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If you randomly change letters in a recipe, the uncertainty goes up. But the cake is ruined
Can be. Or as you have seen, you might not see a difference, or you might get brownies. Depends.

When biologists say genomes contain information, they usually mean functional instructions, not just uncertainty.
In genomics or population genetics, they do.

Random variation can produce something new — that part is true — but “new” does not automatically mean “useful” or “informative” in the biological sense.
That's where natural selection comes in. Most random changes in genomes do very little. Some are harmful. A few are useful. Natural selection sorts it out. And environment counts. The EPAS1 allele originated in Han Chinese population, but it's widespread only in those who moved into the Himalayas (the Tibetans who descended from Han Chinese).

Among the many transitions between prokaryotes and vertebrates, the most widely recognized challenge for evolutionary theory is the origin of the eukaryotic cell.
Evidence shows that it occurred by endosymbiosis, the inclusion of another organism into a cell. It's been directly observed to happen. And mitochondria and chloroplasts are demonstrably endosymbiotic organisms in eukaryotic cells. And this includes genome fusion; many of the genes that are essential for survival are now absent from these organelles and are found in the nucleus. Likewise, eukaryotic cells generally cannot survive without mitochondria.

eukaryotic cells possess nuclei, mitochondria, elaborate membrane systems, and tightly coordinated gene regulation.
Tell us how bacteria do not have "tightly coordinated gene regulation."
A second major challenge is the origin of complex multicellularity with differentiated cell types. While simple multicellular organisms exist, complex multicellularity requires cells to cooperate, specialize, communicate, and sometimes undergo programmed death for the benefit of the organism.
In fact, this is true only of most phyla of animals. Sponges, for example, lack these features. But there is some coordination and specialization in s sponges, slightly more than those in bryozoans. Less than in corals. So we see transitional stages. And of course we see some coordination among cells of some protists like Volvox. Where is the barrier here?

Closely related to this is the emergence of developmental programs that guide embryological growth.
Homeobox genes are found in most eukaryotes. Genetic data shows that Hox genes evolved from other homeobox genes; they are present in all bilatera, including cnidarians.

Another significant hurdle is the origin of nervous systems, especially centralized brains.
Nervous systems appear early in animals. True nervous systems exist in early bilatera, but we see nervoid cells in sponges and others:
Front Cell Dev Biol 2022 Dec 23:10

Alternative neural systems: What is a neuron? (Ctenophores, sponges and placozoans)

I don't see any discontinuities in nervous systems of animals which would demonstrate that they could not evolve. Can you name one?

The emergence of uniquely vertebrate features also presents difficulties. Vertebrates possess internal skeletons
As do chordates. For an understanding of the way these developed you might want to read The Evolution of Vertebrate Design by Leonard Radinsky. It's not excessively technical , but covers this subject well.

complex immune systems
In fact, primitive vertebrates have immune systems that are much less complex than others.

But immunoglobulins are not limited to vertebrates:

Proc Natl Acad Sci U S A 2022

A family of unusual immunoglobulin superfamily genes in an invertebrate histocompatibility complex

The immunoglobulin superfamily (IgSF) is one of the largest and most functionally versatile domain families in animal genomes. Although their amino acid sequences can vary considerably, IgSF domains have been traditionally defined by conserved residues at several key positions in their fold. Here, we sequenced an invertebrate histocompatibility complex and discovered a family of IgSF genes with amino acid sequences that lack most of these residues yet are predicted to adopt folds virtually identical to canonical V-set and I-set IgSF domains. This work broadens the definition of the IgSF and shows that the V-set domain was present earlier in animal evolution than previously appreciated.

advanced sensory organs
As do invertebrates. Would you like examples?

Neural crest cells?

Nature 23 Oct 2024

Neural crest lineage in the protovertebrate model Ciona

Neural crest cells are multipotent progenitors that produce defining features of vertebrates such as the ‘new head’1. Here we use the tunicate, Ciona, to explore the evolutionary origins of neural crest since this invertebrate chordate is among the closest living relatives of vertebrates2,3,4. Previous studies identified two potential neural crest cell types in Ciona, sensory pigment cells and bipolar tail neurons5,6. Recent findings suggest that bipolar tail neurons are homologous to cranial sensory ganglia rather than derivatives of neural crest7,8. Here we show that the pigment cell lineage also produces neural progenitor cells that form regions of the juvenile nervous system following metamorphosis. Neural progenitors are also a major derivative of neural crest in vertebrates, suggesting that the last common ancestor of tunicates and vertebrates contained a multipotent progenitor population at the neural plate border. It would therefore appear that a key property of neural crest, multipotentiality, preceded the emergence of vertebrates.
The origin of life requires comlex systems.

More complex say, than a river valley system? How do you measure that? What is the simplest possible organism? How would you compare the complexity of the two?
 
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Mercy Shown

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I'm not the only one who's been telling you this.
Telling me what? You base your whole belief system on science and then us God to fill in the gaps?
Can be. Or as you have seen, you might not see a difference, or you might get brownies. Depends.
Here is a smash-cake recipe taken from AllRecipes. The letters have been scrambled. Do I really need to say more?

CUPS KECA LOURF
OEPSATOSN BNKIAG OWPEDR
ANOESPOT ALST
UPC WHIET ASRUG
PCU ETBTUR EENODFST
GEGS TA ORMO RPTTMAEREEU
ANPOESTSO AILVLNA CTEARTX
UPC MLIK
NCUOE REOANCNIT IAALNLV OFTRIGNS SHUC AS YIBRPLSLU
OOPLBSNTEA RLIOOULTMEDC AYNCD NISELSRPK OR AS EDEDEN
ACLLO FRFSEO
EONTRIDSIC
REPTAEH HTE NOVE OT GEEDRSE F EGEDERS C ESERGA OEN CNHI CEAK PNA DAN OEN CINH KECA APN
IMX CAKE LOUFR KNGBIA DPWERO DNA ASTL NI A WOBL
CAERM RSUGA NDA RETBTU IN A GERLA WOBL IHWT AN CRELTCIE MIEXR ADD SEGG NEO TA A EITM IXMGNI WELL FATRE EAHC IIANOTDD MIX IN ANAVLIL TXAERTC DDA OF TEH ROFUL XIEMURT NAD MXI IUNLT WELL CMBDNEIO UOPR NI FO ETH LKMI NAD XIM IAANG EPTRAE IWHT NMGNAEIRI FURLO DAN KMIL NUILT ALL NINSGEDIRET RAE ELWL NMOIBCED RUOP TBTRAE NOIT HTE PDAERRPE AEKC NPSA
BEKA KCSAE IN TEH EEHERDATP NVOE TNLUI A KPCTOHITO ESMOC UTO NLAEC HET AERSLLM KEAC SOULDH ETKA OT UESMINT AND TEH ARLREG EKCA DSLHUO KTAE OT TSIUENM MERVOE OMRF ONEV NDA MLYOETLCEP COOL NO A WEIR RAKC ATBUO ROHU
ILEN A ABGNIK EHEST ITWH ENRTCPHAM RPEAP AND PRUO EIRLSPKSN NO POT
ESPADR TRGOSNIF ON EHT EISSD OF THE ERALRG AEKC ADN MLDTEAIMIEY LO

You can still recognize that this was once a recipe: ingredients, measurements, and instructions are all present, but the meaningful arrangement has been destroyed. The uncertainty has increased dramatically, yet the function has vanished. No one could bake a cake from this, even though the amount of “information” in the purely mathematical sense has gone up.


Now imagine running this through a computer and claiming that increasing uncertainty somehow creates a better recipe. You wouldn’t get anything edible—and I doubt you’d get anything coherent at all. What you would get is noise. This illustrates the core problem: increasing entropy or randomness does not generate functional instruction. It destroys it.


Yes, uncertainty has increased exponentially. But usefulness has dropped to zero. And that distinction—between raw information and functional, specified information—is exactly what is being ignored.
In genomics or population genetics, they do.
That response is misleading because it equivocates on the word information. In genomics and population genetics, Shannon-style measures are sometimes used as mathematical tools to quantify variation or uncertainty, but that does not mean biologists thereby redefine biological information as mere uncertainty. When biologists say a genome “contains information,” they are ordinarily referring to functional instructions—sequences that do something in a cellular context: encode proteins, regulate expression, guide development, or maintain viability.


Shannon entropy can measure how unpredictable allele frequencies are in a population, but it is silent about whether any particular sequence performs a biological function. A completely random DNA sequence can have high Shannon entropy and yet encode nothing useful at all. Conversely, a highly conserved gene can have low entropy while carrying extremely specific and indispensable biological instructions. Treating these two notions as interchangeable collapses a crucial distinction that biologists themselves routinely maintain in practice.


So yes, population genetics uses entropy-like metrics—but as descriptive tools, not as definitions of biological meaning. Confusing mathematical uncertainty with functional instruction is not clarifying the science; it is changing the subject.
That's where natural selection comes in. Most random changes in genomes do very little. Some are harmful. A few are useful. Natural selection sorts it out. And environment counts. The EPAS1 allele originated in Han Chinese population, but it's widespread only in those who moved into the Himalayas (the Tibetans who descended from Han Chinese).
Ok, not sure why you posted this but no argument from me. It still cannot answer the basic question I have been after.
Evidence shows that it occurred by endosymbiosis, the inclusion of another organism into a cell. It's been directly observed to happen. And mitochondria and chloroplasts are demonstrably endosymbiotic organisms in eukaryotic cells. And this includes genome fusion; many of the genes that are essential for survival are now absent from these organelles and are found in the nucleus. Likewise, eukaryotic cells generally cannot survive without mitochondria.
Right but it all still depends on pre-existing structures and materials in complex systems.
Tell us how bacteria do not have "tightly coordinated gene regulation."

In fact, this is true only of most phyla of animals. Sponges, for example, lack these features. But there is some coordination and specialization in s sponges, slightly more than those in bryozoans. Less than in corals. So we see transitional stages. And of course we see some coordination among cells of some protists like Volvox. Where is the barrier here?


Homeobox genes are found in most eukaryotes. Genetic data shows that Hox genes evolved from other homeobox genes; they are present in all bilatera, including cnidarians.


Nervous systems appear early in animals. True nervous systems exist in early bilatera, but we see nervoid cells in sponges and others:
Front Cell Dev Biol 2022 Dec 23:10

Alternative neural systems: What is a neuron? (Ctenophores, sponges and placozoans)

I don't see any discontinuities in nervous systems of animals which would demonstrate that they could not evolve. Can you name one?
Why would I. I have never been arguing against evolution in this thread. Simply pointing out that the gaps require faith. You plug all the holes with God. But it’s reasonable to say that there are real sticking points in evolutionary biology, and asking about them does not require a religious agenda. One genuine area of difficulty concerns the discontinuities in nervous systems across major animal groups. Simple nerve nets (as in cnidarians), centralized ganglia (as in arthropods), and highly centralized brains with layered cortexes (as in vertebrates) differ not just in degree but in organization and architecture. The challenge is not that evolution lacks mechanisms in principle, but that the historical pathways between these architectures are only partially understood. Fossils preserve hard parts, not neural tissue, and soft-bodied ancestors that might show intermediate nervous systems are rare or absent. As a result, many reconstructions rely on comparative anatomy and genetics rather than direct evidence, leaving open questions about how coordination, integration, and timing of neural innovations emerged without disrupting survival.

Another sticking point is the integration problem: nervous systems do not evolve in isolation. Sensory organs, motor control, developmental timing, metabolism, and behavior must all remain viable at each step. Incremental changes are plausible, but explaining how multiple interacting subsystems shift together—especially when new neural structures enable qualitatively new behaviors—remains an active area of research. Evolutionary theory explains how selection works once variation exists, but mapping the precise sequence of changes that produced complex neural circuits (such as those for vision, language precursors, or consciousness-related processing) is still incomplete. Asking such questions is not a threat to science—it is how science advances.
 
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Indeed. Your arguments are focused on origins, not mechanisms of evolution once they're already present.

And remember, the theory of evolution doesn't have to have explanations for all of the billions of life forms over all of earth history, in order to be true. With every theory, there are always things that are unknown, and that are continually being discovered. This isn't an argument against the theory. Gravity exists, and we all still have questions about the theory of gravity. Atoms exist, we still have questions about atomic theory. Any and every theory that exists has unanswered questions that relate to them. That's not an argument against these theories. It's just the reality of the world we live in.

Also, arguing that there are questions that remain, is not itself an argument for intelligent design either. People get this confused a lot. You cannot make a case for something other than evolution simply by attacking evolution. You have to have your own independent mechanism to share. Otherwise your critiques come off as personal incredulity and few people would find it convincing.

In order to truly make a claim against the theory of evolution, you would need a competing theory with better explanatory power and mechanisms. And obviously, at this time in history and since the 1800s, no other theory even comes close to competing. Maybe some day. But right now, there isn't anything remotely competitive with Darwin's theory of evolution, or the modern synthesis.

We are all Christians here, and we are all creationists by extension, but let's be clear on this, intelligent design is not a competing theory. Indeed it has no supporting mechanisms and itself is not a theory at all.

So it is fine to express personal incredulity. Especially with abiogenesis. But, without alternative mechanisms, you may as well be debating with a stone wall.
You still think I am arguing against evolution in this post. This is extreme motivated reasoning.
 
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You still think I am arguing against evolution in this post. This is extreme motivated reasoning.
Great, glad to hear that we all agree that God used evolution as a mechanism of creation.
 
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The Barbarian

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Telling me what? You base your whole belief system on science and then us God to fill in the gaps?
No, that would be IDers. For real scientists, science is based on evidence. God requires faith. For IDers, faith is not enough and science can't help them.

Here is a smash-cake recipe taken from AllRecipes. The letters have been scrambled.
You still can't get how it works. Consider that humans have about 30,000 genes. Only about 1% of DNA is made up of coding genes. Each of us has a few dozen mutations that weren't present in each parent. So, we rarely have many mutations in our genes. Your model is hilariously unrealistic. It's more like my example of maybe one egg short or using the wrong shortening.

Now imagine running this through a computer and claiming that increasing uncertainty somehow creates a better recipe.
Engineers do that. They are called "genetic algorithms." It solves very complex engineering problems that are difficult or impossible to solve by design. They take a feasible, but not very good solution, and randomly make a few mutations. The best resulting solutions are then retained and once again mutated. After a number of iterations, optimal solutions are obtained. Mutation and natural selection work better than design.

Raw information is all it takes. Turns out that God knew best, after all.

And that distinction—between raw information and functional, specified information—is exactly what is being ignored.
See above.

increasing entropy or randomness does not generate functional instruction. It destroys it.
In the absence of natural selection, it would. God has it all covered.

Simply pointing out that the gaps require faith.
I asked you to provide gaps. You attempted to do so, but as you see, there's evidence showing that they aren't gaps at all.

Tell us how bacteria do not have "tightly coordinated gene regulation."

Why would I.
Because if life had "tightly coordinated gene regulation" from the start, there's no need to ask how it evolved. Another dilemma for you.

Simply pointing out that the gaps require faith. You plug all the holes with God.
Evidence. Like your claim about gaps leading to vertebrate immune system. I showed you how there were simpler antecedents in invertebrates, and the evidence for evolution of the advanced system from simpler antecedents in early vertebrates. Yes, God did it all; you just don't approve of the way He did it.

Fossils preserve hard parts, not neural tissue, and soft-bodied ancestors that might show intermediate nervous systems are rare or absent.
Fortunately, there are still members of earlier phyla around, and we can look at them in detail. This is how we have evidence that the "last common ancestor of tunicates and vertebrates contained a multipotent progenitor population at the neural plate border."

Another sticking point is the integration problem: nervous systems do not evolve in isolation.
That was Darwin's observation of traits generally. It's what causes so much difficulty for IDers. It's why evolutionary development has been such a productive discipline. Not all solutions are equally feasible, even if they might all be equally useful. Evolution is constrained by what went on before. It's why you have three ossicles in your middle ear; the mammal-like reptiles from which mammals evolved, had a particular number of bones in their lower jaws, bones that in most reptiles conduct vibrations to the middle ear. You might want to read up on it; it would make clear what ID has always found incomprehensible.

Evolutionary theory explains how selection works once variation exists, but mapping the precise sequence of changes that produced complex neural circuits (such as those for vision, language precursors, or consciousness-related processing) is still incomplete.
It's always a bad idea to try to fit God into what man does not yet know. As we learn more, the space set aside for God gets a little cramped.
Asking such questions is not a threat to science
It's just avoiding the questions. Like "why three ossicles?" The ID answer is "God designed it." The facts say that it's because therapsids had articular and quadrate bones in their lower jaws, which in mammals, retained their vibration-sensing functions, but not their structural function as jaw bones.
 
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