Creation Questions

Category: Creation Science

  • The Irreducibility of Life

    The Irreducibility of Life

    In his paper “Life Transcending Physics and Chemistry,” Michael Polanyi examines biological machines in a way that illuminates the explanatory failures of materialism. The prevailing materialist paradigm that life can be fully explained by the laws of inanimate nature fails to account for higher ordered realities which have operations and structures that involve non-material judgements and interpretations. He specifically addresses the views of scientists such as Francis Crick, who, along with James Watson, argued for a total reductionist and nominalist view based on their discovery of DNA. For Polanyi, there is a life-transcending nature that all biological organisms have which is akin to machines and their transcendent properties. His central argument is based on the concept of “boundary control,” which argues the notion that there are laws that govern physical reactions (as Crick would accept) yet there are particular laws of form and function which are unique and separate from those lower-level laws.

    There is a real clash between Polanyi’s position and the reductionist/nominalist position which is commonly held by molecular biologists. To start to broach this divergence he explains how the contemporaneous discovery of the genetic function of DNA was interpreted as the final blow to vitalist thought within sciences. He writes:

    “The discovery by Watson and Crick of the genetic function of DNA (deoxyribonucleic acid), combined with the evidence these scientists provided for the self-duplication of DNA, is widely held to prove that living beings can be interpreted, at least in principles, by the laws of physics and chemistry.”

     Polanyi explicitly rejects Crick’s interpretation; that position is of the mainstream and popular level academia. Crick states that his principle “has so far been accepted by few biologists and has been sharply rejected by Francis Crick, who is convinced that all life can be ultimately accounted for by the laws of inanimate nature.” This same sentiment can indeed be found in Crick’s book “Molecules and Man.” Crick writes the following:

    “Thus eventually one may hope to have the whole of biology “explained” in terms of the level below it, and so on right down to the atomic level.”

    To dismantle the materialist argument, Polanyi utilizes the analogy of a machine. A machine cannot be defined or understood solely through the physical and chemical properties of its materials. Take a watch and put it into a machine that can read a detailed atomic map of the device: can even the best chemist give any coherent reason as to whether the watch is functioning or not? Worse—can one even tell you what a watch is, if all that exists is matter in motion for no particular reason? Polanyi writes it best:

    “A complete physical-chemical topography of my watch—even though the topography included the changes caused by the movements in the watch—would not tell us what this object is. On the other hand, if we know watches, we would recognize an object as a watch by a description of it which says that it tells the time of the day… We know watches and can describe one only in terms like ‘telling the time,’ ‘hands,’ ‘face,’ ‘marked,’ which are all incapable of being expressed by the variables of physics, length, mass, and time.”

    Once you see this distinction, you are invariably led (as Polanyi was) to two unique substratum of explanation; what he calls the concept of dual control. Obviously, there are physical laws which dictate constraints and operations of all material and all material things can be explained by these very laws. However, those laws are only meaningfully called constraints when there is some notion of intention or design to be constrained. The shape of any machine, man-made or biological, is not determined by natural laws. Not only is it not determined by them, it cannot be determined by them in any way. Polanyi elaborates on this relationship:

    “The machine is a machine by having been built and being then controlled according to principles of engineering. The laws of physics and chemistry are indifferent to these principles; they would go on working in the fragments of the machine if it were smashed. But they serve the machine while it lasts; machines rely for their operations always on the laws of physics and chemistry.”

    As I hinted at before, Polanyi also applies this logic to biological systems, arguing that morphology is a boundary condition in the same way that a design of a machine is a boundary condition. Biology cannot be reduced to physics because the structure that defines a living being is not the result of physical-chemical equilibration. Physical laws do not intend to create nor do they care that anything functions. Instead, “biological principles are seen then to control the boundary conditions within which the forces of physics and chemistry carry on the business of life.”

    Where Polanyi and Crick truly have the disagreement, then, is in their interpretation of the explanatory power of nature and how DNA is implicated within these frameworks. While Crick views DNA as a chemical agent that proves reducibility, Polanyi argues that the very nature of DNA as an information carrier proves the opposite. For a molecule to function as a code, its sequence cannot be determined by chemical necessity. If chemical laws dictated the arrangement of the DNA molecule, it would be a rigid crystal incapable of conveying complex, variable information. Polanyi writes:

    “Thus in an ideal code, all alternative sequences being equally probable, its sequence is unaffected by chemical laws, and is an arithmetical or geometrical design, not explicable in chemical terms.”

    By treating DNA as a transmitter of information, Polanyi aligns it with other non-physical forms of communication, such as a book. The physical chemistry of the ink and paper does not explain the content of the text. Similarly, the chemical properties of DNA do not explain the genetic information it carries. Polanyi contends that Crick’s own theory inadvertently supports this non-materialist conclusion:

    “The theory of Crick and Watson, that four alternative substituents lining a DNA chain convey an amount of information approximating that of the total number of such possible configurations, amounts to saying that the particular alignment present in a DNA molecule is not determined by chemical forces.”

    Therefore, the pattern of the organism, derived from the information in DNA, represents a constraint that physics cannot explain. It is a boundary condition that harnesses matter. Polanyi concludes that the organization of life is a specific, highly improbable configuration that transcends the laws governing its atomic constituents:

    “When this structure reappears in an organism, it is a configuration of particles that typifies a living being and serves its functions; at the same time, this configuration is a member of a large group of equally probable (and mostly meaningless) configurations. Such a highly improbable arrangement of particles is not shaped by the forces of physics or chemistry. It constitutes a boundary condition, which as such transcends the laws of physics and chemistry.”

    In this way, Polanyi refutes the nominalist materialist perspective by demonstrating that the governing principles of life—its form, function, and information content—are logically distinct from, and irreducible to, the physical laws that govern inanimate matter. Physical laws are, then, merely a piece of the puzzle of the explanation. What’s more, they are insufficient to account for the existence of particular organizations of matter which physical laws and chemistry are not determinative of.

  • Mutation is not Creation

    Mutation is not Creation

    Evolution is certainly a tricky word.

    For a creationist, it’s clear as day why. There are two equivocal definitions being used which blur the lines and convolute any attempt at productive dialogue.

    “Change in allele frequencies in a population over time.”

    The breakdown: Alleles represent versions of genes in which a part of the gene is different, which often makes the overall functional outcome in some way different.

    The frequencies in a population are the ratio of members with or without an allele.

    Finally, the premise of this definition is that the number of organisms in a population with a certain trait can grow or diminish over time.

    This seems to me a very uncontroversial thing to hold to. Insofar as evolution could be a fact, this is certainly hard to deny.

    All that is needed for this first definition is mechanisms for sorting and redistribution of existing variation.

    However, what is commonly inferred from the term is an altogether separate conception:

    “All living things are descended from a common ancestor.”

    This is clearly different. An evolutionist may agree, but argue that these are merely differences in degree (or scale). But is that the case?

    The only way to know whether the one definition flows seamlessly into the next or whether this is a true equivocation is to understand the underlying mechanism. For instance, let’s talk about movement.

    South America and Asia are roughly four times further apart than Australia and Antarctica. Yet, I could say, rightly, that I could walk from South America to Asia, but I could not say the same about Australia and Antarctica. Why is this? If I can walk four times the distance in one instance, why should I be thus restricted?

    The obvious reason is this: Australia and Antarctica are separated by the entire width of the deep, open Southern Ocean and the Tasman Sea. I should not expect that I can traverse, by walking, two places with no land betwixt them.

    The takeaway is this: My extrapolation is only good so long as my mechanism is sufficient. Walking is only possible with land bridges. Without land bridges, it doesn’t matter the distance; you’re not going to make it.

    This second definition requires mechanisms for sorting and redistribution of existing variation as well as creation of new biological information and structures.

    With that consideration, let us now take this lesson and apply it to the mechanisms of change which evolutionists espouse.

    There are many, but we will quickly narrow our search.

    Natural Selection: This is any process that acts as a culling from the environment (which can be ecology, climate, niche, etc).

    Gene Flow: This is the reproductive isolation of populations.

    Genetic Drift/Draft: This is any process that causes fluctuations in alleles due to a lack of selection pressures.

    Sexual Selection/Non-Random Mating: This is the process by which organisms preferentially choose phenotypes.

    The point of this exercise is to observe that these are all mechanisms of sorting and redistribution of existing variation, but they are not the mechanisms that create that variation in the first place. Any mechanism that lacks creative power is insufficient to account for our second definition.

    The mechanism that is left is, you might have guessed, mutation.

    Here’s the problem: mutation is its own conflation. We need to unravel the many ways in which DNA can change. There are many kinds of mutations, and what’s true for one may not be true for another. For example, it is often said that mutations are:

    1. Copying errors
    2. Creative
    3. Random with respect to fitness

    However, this is hardly the case for many various types of phenomena that are classified as mutations.

    For instance, take recombination.

    Recombination is not a copy error. It is a very particular and facilitated meiotic process that requires deliberate attention and agency.

    Recombination is not creative. Although it can technically cause a change in allele frequencies (as a new genotype is being created), so can every other non-creative process. It can no more create new genetic material than a card shuffler can create new cards.

    Recombination is not random with respect to fitness. Even with recombination, like a card shuffler, being random in one sense, there is a telos about particular random processes that make them constitute something not altogether random. If we take a card shuffler, it is not random with respect to the “fitness” of the card game. In fact, it is specifically designed to make a fairer and balanced game night. Likewise, recombination, particularly homologous recombination (HR), is fundamentally a high-fidelity DNA repair pathway. It is designed to prevent the uninterrupted spread of broken or worse genes within a single genotype. Like the card shuffler, the mechanism of recombination has no foresight, but it has an explicit function nonetheless.

    Besides recombination, there are many discrete ways in which mutations can happen. On the small scale, we see things like Single Nucleotide Polymorphisms (SNPs) and Insertions and Deletions (Indels). Zooming out, we also find mutations such as duplications & deletions of genes or multiple genes (e.g., CNVs), exon shuffling, and transposable elements. On the grand scale, we see events such as whole genome duplications and epigenetic modifications as well.

    On the small scale, Single Nucleotide Polymorphisms (SNPs) and Insertions and Deletions (Indels) are the equivalent of typos or missing characters within an existing blueprint. While a typo can certainly change the meaning of a sentence, it cannot generate a completely new architectural plan. It modifies the existing instruction set; it does not introduce a novel concept or function absent in the original text. These are powerful modifiers, but their action is always upon pre-existing information.

    It is also the case that these mutations can never rightly be called evolution. They are not creative; they are only destructive mechanisms. Copy errors create noise, not clarity, in information systems.

    Further, these small-scale mutations happen within the context of the preexisting structure and integrity of the genome. So that, even those which are said to be beneficial are preordained to be so by some higher design principles. For instance, much work has been done to show that nucleosomes protect DNA from damage and structural variants stabilize regions where they emerge:

    “Structural variants (SVs) tend to stabilize regions in which they emerge, with the effect most pronounced for pathogenic SVs. In contrast, the effects of chromothripsis are seen across regions less prone to breakages. We find that viral integration may bring genome fragility, particularly for cancer-associated viruses.” (Pflughaupt et al.)

    “Eukaryotic DNA is organized in nucleosomes, which package DNA and regulate its accessibility to transcription, replication, recombination, and repair… living cells nucleosomes protect DNA from high-energy radiation and reactive oxygen species.” (Brambilla et al.)

    Moving to the medium scale, consider duplications and deletions (CNVs) and exon shuffling. Gene duplication, often cited as a source of novelty, is simply copying an entire, functional module—a paragraph or even a full chapter. This provides redundancy. It is often supposed that this allows one copy to drift while the original performs its necessary task. But gene duplications are not simply ignored by the genome or selective processes. They are often immediately discarded if they don’t infer a use, or otherwise, they are incorporated in a certain way.

    “Gene family members may have common non-random patterns of origin that recur independently in different evolutionary lineages (such as monocots and dicots, studied here), and that such patterns may result from specific biological functions and evolutionary needs.” (Wang et al.)

    Here we see that there is often a causal link between the needs of the organism and the duplication event itself. Further, we observe a highly selective process of monitoring post-duplication:

    “Recently, a nonrandom process of gene loss after these different polyploidy events has been postulated [12,31,38]. Maere et al. [12] have shown that gene decay rates following duplication differ considerably between different functional classes of genes, indicating that the fate of a duplicated gene largely depends on its function.” (Casneuf et al.)

    Even if the function conferred was redundancy, redundancy is not creation; it is merely an insurance policy for existing information. Where, precisely, is the mechanism that takes that redundant copy and molds it into a fundamentally new structure or process—say, turning a light-sensing pigment gene into a clotting factor? What is the search space that will have to be traversed? Indels and SNPs are not sufficient to modify a duplication into something entirely novel. Novel genes require novel sequences for coding specific proteins and novel sequences for regulation. Duplication at best provides a scratch pad, which is highly sensitive to being tampered with.

    Exon shuffling, similarly, is a process of reorganization, splicing together pre-existing functional protein domains. This is the biological equivalent of an editor cutting and pasting sentences from one section into another. The result can be a new combination, but every word and grammatical rule was already present. It is the sorting and redistribution of parts.

    Further, exon shuffling is a highly regulated process that has been shown to be constrained by splice frame rules and mediated by TEs in introns.

    “Exon shuffling follows certain splice frame rules. Introns can interrupt the reading frame of a gene by inserting a sequence between two consecutive codons (phase 0 introns), between the first and second nucleotide of a codon (phase 1 introns), or between the second and third nucleotide of a codon (phase 2 introns).” (Wikipedia Contributors)

    This Wikipedia article gives you a taste for the precision and intense regulation, prerequisite and premeditated, in order to perform what are essentially surgical operations to create specialized proteins for cellular operation. One of the reasons it is such a delicate process is portrayed in this journal article:

    “Successful shuffling requires that the domain in question is bordered by introns that are of the same phase, that is, that the domain is symmetrical in accordance with the phase-compatibility rules of exon shuffling (Patthy 1999b), because shuffling of asymmetrical exons/domains will result in a shift of the reading frame in the downstream exons of recipient genes.” (Kaessmann)

    In the same way, transposable elements are constrained by the epigenetic and structural goings-on of the genome. Research shows that transposase recognizes DNA structure at insertion sites, and there are physical constraints caused by chromatin:

    “We show that all four of these measures of DNA structure deviate significantly from random at P element insertion sites. Our results argue that the donor DNA and transposase complex performing P element integration may recognize a structural feature of the target DNA.” (Liao Gc et al.)

    Finally, we look at the grand scale. Whole Genome Duplication (WGD) is the ultimate copy-paste—duplicating the entire instructional library. Again, this provides massive redundancy but offers zero novel genetic information. This is not creative in any meaningful sense, even at the largest scale.

    As for epigenetic modifications, these are critical regulatory mechanisms that determine when and how existing genes are expressed. They are the rheostats and switches of the cell, changing the output and timing without ever altering the source code (the DNA sequence). They are regulatory, not informational creators.

    The central issue remains: The second definition of evolution requires the creation of new organizational blueprints and entirely novel biological functions.

    The mechanism of change relied upon—mutation—is, across all its various types, fundamentally a system of copying, modification, deletion, shuffling, or regulation of existing, functional genetic information. None of these phenomena, regardless of their scale, demonstrates the capacity to generate the required novel information (the “land bridge”) necessary to traverse the vast gap between one kind of organism and another. Again, they are really great mechanisms for change over time, but they are pitiable creative mechanisms.

    Therefore, the argument that the two definitions of evolution are merely differences of scale falls apart. The extrapolation from observing a shift in coat color frequency (Definition 1) to positing a common ancestor for all life (Definition 2) is logically insufficient. It requires a creative mechanism that is qualitatively different from the mechanisms of sorting and modification we observe. Lacking that demonstrated, information-generating mechanism, we are left with two equivocal terms, where one is an undeniable fact of variation and the other is an unsupported inference of mechanism—a proposal to walk across the deep, open ocean with only the capacity to walk on land.

    Works Cited

    Brambilla, Francesca, et al. “Nucleosomes Effectively Shield DNA from Radiation Damage in Living Cells.” Nucleic Acids Research, vol. 48, no. 16, 10 July 2020, pp. 8993–9006, pmc.ncbi.nlm.nih.gov/articles/PMC7498322/, https://doi.org/10.1093/nar/gkaa613. Accessed 30 Oct. 2025.

    Casneuf, Tineke, et al. “Nonrandom Divergence of Gene Expression Following Gene and Genome Duplications in the Flowering Plant Arabidopsis Thaliana.” Genome Biology, vol. 7, no. 2, 2006, p. R13, https://doi.org/10.1186/gb-2006-7-2-r13. Accessed 7 Sept. 2021.

    Kaessmann, H. “Signatures of Domain Shuffling in the Human Genome.” Genome Research, vol. 12, no. 11, 1 Nov. 2002, pp. 1642–1650, https://doi.org/10.1101/gr.520702. Accessed 16 Jan. 2020.

    Liao Gc, et al. “Insertion Site Preferences of the P Transposable Element in Drosophila Melanogaster.” Proceedings of the National Academy of Sciences of the United States of America, vol. 97, no. 7, 14 Mar. 2000, pp. 3347–3351, https://doi.org/10.1073/pnas.97.7.3347. Accessed 1 Dec. 2023.

    Pflughaupt, Patrick, et al. “Towards the Genomic Sequence Code of DNA Fragility for Machine Learning.” Nucleic Acids Research, vol. 52, no. 21, 23 Oct. 2024, pp. 12798–12816, https://doi.org/10.1093/nar/gkae914. Accessed 8 Nov. 2025.

    Wang, Yupeng, et al. “Modes of Gene Duplication Contribute Differently to Genetic Novelty and Redundancy, but Show Parallels across Divergent Angiosperms.” PLoS ONE, vol. 6, no. 12, 2 Dec. 2011, p. e28150, https://doi.org/10.1371/journal.pone.0028150. Accessed 20 Dec. 2021.

    Wikipedia Contributors. “Exon Shuffling.” Wikipedia, Wikimedia Foundation, 31 Oct. 2025, en.wikipedia.org/wiki/Exon_shuffling.

  • The Agnostic Nature of Phylogenetic Trees and Nested Hierarchies

    The Agnostic Nature of Phylogenetic Trees and Nested Hierarchies

    The evidence typically presented as definitive proof for the theory of common descent, the nested hierarchy of life and genetic/trait similarities, is fundamentally agnostic. This is because evolutionary theory, in its broad explanatory power, can be adapted to account for virtually any observed biological pattern post-hoc, thereby undermining the claim that these patterns represent unique or strong predictions of common descent over alternative models, such as common design.

    I. The Problematic Nature of “Prediction” in Evolutionary Biology

    1. Strict Definition of Scientific Prediction: A true scientific prediction involves foretelling a specific, unobserved phenomenon before its discovery. It is not merely explaining an existing observation or broadly expecting a general outcome.
    2. Absence of Specific Molecular Predictions:
      • Prior to the molecular biology revolution (pre-1950s/1960s), no scientist explicitly predicted the specific molecular similarity of DNA sequences across diverse organisms, the precise double-helix structure, or the near-universal genetic code. These were empirical discoveries, not pre-existing predictions.
      • Evolutionary explanations for these molecular phenomena (e.g., the “frozen accident” hypothesis for the universal genetic code) were formulated after the observations were made, rendering them post-hoc explanations rather than predictive triumphs.
      • Interpreting broad conceptual statements from earlier evolutionary thinkers (like Darwin’s “one primordial form”) as specific molecular predictions is an act of “eisegesis”—reading meaning into the text—rather than drawing direct, testable predictions from it. A primordial form does not necessitate universal code, universal protein sequences, universal logic, or universal similarity.

    II. The Agnosticism of the Nested Hierarchy

    1. The Nested Hierarchy as an Abstract Pattern: The observation that life can be organized into a nested hierarchy (groups within groups, e.g., species within genera, genera within families) is an abstract pattern of classification. This pattern existed and was recognized (e.g., by Linnaeus) long before Darwin’s theory of common descent.
    2. Compatibility with Common Design: A designer could, for various good reasons (e.g., efficiency, aesthetic coherence, reusability of components, comprehensibility), choose to create life forms that naturally fall into a nested hierarchical arrangement. Therefore, the mere existence of this abstract pattern does not uniquely or preferentially support common descent over a common design model.
    3. Irrelevance of Molecular “Details” for this Specific Point: While specific molecular “details” (such as shared pseudogenes, endogenous retroviruses, or chromosomal fusions) are often cited as evidence for common descent, these are arguments about the mechanisms or specific content of the nested hierarchy. These are not agnostic and can be debated fruitfully. However, they do not negate the fundamental point that the abstract pattern of nestedness itself remains agnostic, as it could be produced by either common descent or common design.

    III. Evolutionary Theory’s Excessive Explanatory Flexibility (Post-Hoc Rationalization)

    1. Fallacy of Affirming the Consequent: The logical structure “If evolutionary theory (Y) is true, then observation (X) is expected” does not logically imply “If observation (X) is true, then evolutionary theory (Y) must be true,” especially if the theory is so flexible that it can explain almost any X.
    2. Capacity to Account for Contradictory or Diverse Outcomes:
      • Genetic Similarity: Evolutionary theory could equally well account for a model with no significant genetic similarity between organisms (e.g., if different biochemical pathways or environmental solutions were randomly achieved, or if genetic signals blurred too quickly over time). For example, a world with extreme porportions of horizontal gene transfer (as seen in prokaryotic and rare eukaryotic cells)
      • Phylogenetic Branching: The theory is flexible enough to account for virtually any observed phylogenetic branching pattern. If, for instance, humans were found to be more genetically aligned with pigs than with chimpanzees, evolutionary theory would simply construct a different tree and provide a new narrative of common ancestry. This flexability puts a wedge in any measure of predictability claimed by the theory.
      • “Noise” in Data: If genetic data were truly “noise” (random and unpatterned), evolutionary theory could still rationalize this by asserting that “no creator would design that way, and randomness fully accounts for it,” thus always providing an explanation regardless of the pattern. In fact, a noise pattern is perhaps one of the few patterns better explained by random physical processes. Why would a designer, who has intentionality, create in such a slapdash way?
      • Convergence vs. Divergence: The theory’s ability to explain both convergent evolution (morphological similarity without close genetic relatedness) and divergent evolution (genetic differences leading to distinct forms) should imediately signal red-flags, as this is a telltale sign of a post-hoc fitting of observations rather than a result of specific prediction.
        • To illustrate this point, Let’s imagine we have seven distinct traits (A, B, C, D, E, F, G) and five hypothetical populations of creatures (P1-P5), each possessing a unique combination of these traits. For example, P1 has {A, B, C}, P2 has {A, D, E}, P3 has {A, F, G}, P4 has {B, D, F}, and P5 has {E, G}. When examining this distribution, we can construct a plausible “evolutionary story.” Trait ‘A’, present in P1, P2, and P3, could be identified as a broadly ancestral trait. P1 might be an early branch retaining traits B and C, while P2 and P3 diversified by gaining D/E and F/G respectively.
        • However, the pattern becomes more complex with populations like P4 and P5. P4’s mix of traits {B, D, F} suggests it shares B with P1, D with P2, and F with P3. An evolutionary narrative would then employ concepts like trait loss (e.g., B being lost in P2/P3/P5’s lineage), convergent evolution (e.g., F evolving independently in P4 and P3), or complex branching patterns. Similarly, P5’s {E, G} would be explained by inheriting E from P2 and G from P3, while also undergoing significant trait loss (A, B, C, D, F).
        • And this is the crux of the argument, given any observed distribution of traits, evolutionary theory’s flexible set of explanatory mechanisms—including common ancestry, trait gain, trait loss, and convergence—can always construct a coherent historical narrative. This ability to fit diverse patterns post-hoc renders the mere existence of a nested hierarchy, disconnected from specific underlying molecular details, as agnostic evidence for common descent over other models like common design.

    IV. Challenges to Specific Evolutionary Explanations and Assumptions

    1. Conservation of the Genetic Code:
      • The claim that the genetic code must remain highly conserved post-LUCA due to “catastrophic fitness consequences” of change is an unsubstantiated assumption. Granted, it could be true, but one can imagine plausible scenarios which could demonstrate exceptions.
      • Further, evolutionary theory already postulates radical changes, including the very emergence of complex systems “from scratch” during abiogenesis. If such fundamental transformations are possible, then the notion that a “new style of codon” is impossible over billions of years, even via incremental “patches and updates,” appears inconsistent.
      • Laboratory experiments that successfully engineer organisms to incorporate unnatural amino acids demonstrate the inherent malleability of the genetic code. Yet no experiment has demonstrate abiogenesis, a much more implausible event with less evolutionary time to play with. Why limit the permissible improbable things arbitrarily?
      • There is no inherent evolutionary reason to expect a single, highly conserved “language” for the genetic code; if information can be created through evolutionary processes, then multiple distinct solutions should be the rule.
    2. Functionality of “Junk” DNA and Shared Imperfections:
      • The assertion that elements like pseudogenes and endogenous retroviruses (ERVs) are “non-functional” or “mistakes” is often an “argument from ignorance” or an “anti-God/atheism-of-the-gaps” fallacy. Much of the genome’s function is still unknown, and many supposedly “non-functional” elements are increasingly found to have regulatory or other biological roles. For instance, see my last article on the DDX11L2 “pseudo” gene which operates as a regulatory element including as a secondary promoter.
      • If these elements are functional, their homologous locations are easily explained by a common design model, where a designer reuses functional components across different creations.
      • The “functionality” of ERVs, for instance, is often downplayed in arguments for common descent, despite their known roles in embryonic development, antiviral defense, and regulation, thereby subtly shifting the goalposts of the argument.
    3. Probabilities of Gene Duplication and Fusion:
      • The probability assigned to beneficial gene duplications and fusions (which are crucial for creating new genetic information and structures) seems inconsistently high when compared to the low probability assigned to the evolution of new codon styles. If random copying errors can create functional whole genes or fusions, then the “impossibility” of a new codon style seems a little arbitrary.

    Conclusion:

    The overarching argument is that while common descent can certainly explain the observed patterns in biology, its explanatory power often relies on post-hoc rationalization and a flexibility that allows it to account for almost any outcome. This diminishes the distinctiveness and predictive strength of the evidence, leaving it ultimately agnostic when compared to alternative models that can also account for the same observations through different underlying mechanisms.

  • Evidence for an Active Alternative Promoter in the Human DDX11L2 Gene

    Evidence for an Active Alternative Promoter in the Human DDX11L2 Gene

    Abstract

    The human genome contains numerous regulatory elements that control gene expression, including canonical and alternative promoters. While DDX11L2 is annotated as a pseudogene, its functional relevance in gene regulation has been a subject of interest. This study leverages publicly available genomic data from the UCSC Genome Browser, integrating information from the ENCODE project and ReMap database, to investigate the transcriptional activity within a specific intronic region of the DDX11L2 gene (chr2:113599028-113603778, hg38 assembly). Our analysis reveals the co-localization of key epigenetic marks, candidate cis-regulatory elements (cCREs), and RNA Polymerase II binding, providing robust evidence for an active alternative promoter within this region. These findings underscore the complex regulatory landscape of the human genome, even within annotated pseudogenes.

    1. Introduction

    Gene expression is a tightly regulated process essential for cellular function, development, and disease. A critical step in gene expression is transcription initiation, primarily mediated by RNA Polymerase II (Pol II) in eukaryotes. Transcription initiation typically occurs at promoter regions, which are DNA sequences located upstream of a gene’s coding sequence. However, a growing body of evidence indicates the widespread use of alternative promoters, which can initiate transcription from different genomic locations within or outside of a gene’s canonical promoter, leading to diverse transcript isoforms and complex regulatory patterns [1].

    The DDX11L2 gene, located on human chromosome 2, is annotated as a DEAD/H-box helicase 11 like 2 pseudogene. Pseudogenes are generally considered non-functional copies of protein-coding genes that have accumulated mutations preventing their translation into functional proteins. Despite this annotation, some pseudogenes have been found to play active regulatory roles, for instance, by producing non-coding RNAs or acting as cis-regulatory elements [2]. Previous research has suggested the presence of an active promoter within an intronic region of DDX11L2, often discussed in the context of human chromosome evolution [3].

    This study aims to independently verify the transcriptional activity of this specific intronic region of DDX11L2 by analyzing comprehensive genomic and epigenomic datasets available through the UCSC Genome Browser. We specifically investigate the presence of key epigenetic hallmarks of active promoters, the classification of cis-regulatory elements, and direct evidence of RNA Polymerase II binding.

    2. Materials and Methods

    2.1 Data Sources

    Genomic and epigenomic data were accessed and visualized using the UCSC Genome Browser (genome.ucsc.edu), utilizing the Human Genome assembly hg38. The analysis focused on the genomic coordinates chr2:113599028-113603778, encompassing the DDX11L2 gene locus.

    The following data tracks were enabled and examined in detail:

    ENCODE Candidate cis-Regulatory Elements (cCREs): This track integrates data from multiple ENCODE assays to classify genomic regions based on their regulatory potential. The “full” display mode was selected to visualize the color-coded classifications (red for promoter-like, yellow for enhancer-like, blue for CTCF-bound) [4].

    Layered H3K27ac: This track displays ChIP-seq signal for Histone H3 Lysine 27 acetylation, a histone modification associated with active promoters and enhancers. The “full” display mode was used to visualize peak enrichment [5].

    ReMap Atlas of Regulatory Regions (RNA Polymerase II ChIP-seq): This track provides a meta-analysis of transcription factor binding sites from numerous ChIP-seq experiments. The “full” display mode was selected, and the sub-track specifically for “Pol2” (RNA Polymerase II) was enabled to visualize its binding profiles [6].

    DNase I Hypersensitivity Clusters: This track indicates regions of open chromatin, which are accessible to regulatory proteins. The “full” display mode was used to observe DNase I hypersensitive sites [4].

    GENCODE Genes and RefSeq Genes: These tracks were used to visualize the annotated gene structure of DDX11L2, including exons and introns.

    2.2 Data Analysis

    The analysis involved visual inspection of the co-localization of signals across the enabled tracks within the DDX11L2 gene region. Specific attention was paid to the first major intron, where previous studies have suggested an alternative promoter. The presence and overlap of red “Promoter-like” cCREs, H3K27ac peaks, and Pol2 binding peaks were assessed as indicators of active transcriptional initiation. The names associated with the cCREs (e.g., GSE# for GEO accession, transcription factor, and cell line) were noted to understand the experimental context of their classification.

    3. Results

    Analysis of the DDX11L2 gene locus on chr2 (hg38) revealed consistent evidence supporting the presence of an active alternative promoter within its first intron.

    3.1 Identification of Promoter-like cis-Regulatory Elements:

    The ENCODE cCREs track displayed multiple distinct red bars within the first major intron of DDX11L2, specifically localized around chr2:113,601,200 – 113,601,500. These red cCREs are computationally classified as “Promoter-like,” indicating a high likelihood of promoter activity based on integrated epigenomic data. Individual cCREs were associated with specific experimental identifiers, such as “GSE46237.TERF2.WI-38VA13,” “GSE102884.SMC3.HeLa-Kyoto_WAPL_PDS-depleted,” and “GSE102884.SMC3.HeLa-Kyoto_PDS5-depleted.” These labels indicate that the “promoter-like” classification for these regions was supported by ChIP-seq experiments targeting transcription factors like TERF2 and SMC3 in various cell lines (WI-38VA13, HeLa-Kyoto, and HeLa-Kyoto under specific depletion conditions).

    3.2 Enrichment of Active Promoter Histone Marks:

    A prominent peak of H3K27ac enrichment was observed in the Layered H3K27ac track. This peak directly overlapped with the cluster of red “Promoter-like” cCREs, spanning approximately chr2:113,601,200 – 113,601,700. This strong H3K27ac signal is a hallmark of active regulatory elements, including promoters.

    3.3 Direct RNA Polymerase II Binding:

    Crucially, the ReMap Atlas of Regulatory Regions track, specifically the sub-track for RNA Polymerase II (Pol2) ChIP-seq, exhibited a distinct peak that spatially coincided with both the H3K27ac enrichment and the “Promoter-like” cCREs in the DDX11L2 first intron. This direct binding of Pol2 is a definitive indicator of transcriptional machinery engagement at this site.

    3.4 Open Chromatin State:

    The presence of active histone marks and Pol2 binding strongly implies an open chromatin configuration. Examination of the DNase I Hypersensitivity Clusters track reveals a corresponding peak, further supporting the accessibility of this region for transcription factor binding and initiation.

    4. Discussion

    The integrated genomic data from the UCSC Genome Browser provides compelling evidence for an active alternative promoter within the first intron of the human DDX11L2 gene. The co-localization of “Promoter-like” cCREs, robust H3K27ac signals, and direct RNA Polymerase II binding collectively demonstrates that this region is actively engaged in transcriptional initiation.

    The classification of cCREs as “promoter-like” (red bars) is based on a sophisticated integration of multiple ENCODE assays, reflecting a comprehensive biochemical signature of active promoters. The specific experimental identifiers associated with these cCREs (e.g., ERG, TERF2, SMC3 ChIP-seq data) highlight the diverse array of transcription factors that can bind to and contribute to the regulatory activity of a promoter. While ERG, TERF2, and SMC3 are not RNA Pol II itself, their presence at this locus, in conjunction with Pol II binding and active histone marks, indicates a complex regulatory network orchestrating transcription from this alternative promoter.

    The strong H3K27ac peak serves as a critical epigenetic signature, reinforcing the active state of this promoter. H3K27ac marks regions of open chromatin that are poised for, or actively undergoing, transcription. Its direct overlap with Pol II binding further strengthens the assertion of active transcription initiation.

    The direct observation of RNA Polymerase II binding is the most definitive evidence for transcriptional initiation. Pol II is the core enzyme responsible for synthesizing messenger RNA (mRNA) and many non-coding RNAs. Its presence at a specific genomic location signifies that the cellular machinery for transcription is assembled and active at that site.

    The findings are particularly interesting given that DDX11L2 is annotated as a pseudogene. This study adds to the growing body of literature demonstrating that pseudogenes, traditionally considered genomic “fossils,” can acquire or retain functional regulatory roles, including acting as active promoters for non-coding RNAs or influencing the expression of neighboring genes [2]. The presence of an active alternative promoter within DDX11L2 suggests a more intricate regulatory landscape than implied by its pseudogene annotation alone.

    5. Conclusion

    Through the integrated analysis of ENCODE and ReMap data on the UCSC Genome Browser, this study provides strong evidence that an intronic region within the human DDX11L2 gene functions as an active alternative promoter. The co-localization of “Promoter-like” cCREs, high H3K27ac enrichment, and direct RNA Polymerase II binding collectively confirms active transcriptional initiation at this locus. These findings contribute to our understanding of the complex regulatory architecture of the human genome and highlight the functional potential of regions, such as pseudogenes, that may have been previously overlooked.

    References

    [1] Carninci P. and Tagami H. (2014). The FANTOM5 project and its implications for mammalian biology. F1000Prime Reports, 6: 104.

    [2] Poliseno L. (2015). Pseudogenes: Architects of complexity in gene regulation. Current Opinion in Genetics & Development, 31: 79-84.

    [3] Tomkins J.P. (2013). Alleged Human Chromosome 2 “Fusion Site” Encodes an Active DNA Binding Domain Inside a Complex and Highly Expressed Gene—Negating Fusion. Answers Research Journal, 6: 367–375. (Note: While this paper was a starting point, the current analysis uses independent data for verification).

    [4] ENCODE Project Consortium. (2012). An integrated encyclopedia of DNA elements in the human genome. Nature, 489(7414): 57–74.

    [5] Rada-Iglesias A., et al. (2011). A unique chromatin signature identifies active enhancers and genes in human embryonic stem cells. Nature Cell Biology, 13(9): 1003–1013.

    [6] Chèneby J., et al. (2018). ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments. Nucleic Acids Research, 46(D1): D267–D275.

  • The Nature of Society: Where We Stand as Individuals

    The Nature of Society: Where We Stand as Individuals

    From my perspective, society isn’t some grand, top-down invention or a purely artificial construct. Instead, it’s a natural outgrowth of human interaction, an organic creation. This organic origin gives society a fascinating, dualistic nature: it’s both a source of conflict and a fertile ground for cooperation, a necessary evil, and a crucial tool for individual flourishing. I see these seemingly opposing ideas not as separate or contradictory, but as deeply intertwined.

    The inherent conflict within society comes from the undeniable reality of human imperfection. As fallen creatures, individuals will always have competing interests, differing desires, and a natural lean toward self-interest and corruption. This doesn’t mean we’re in a constant state of overt warfare, but rather a perpetual tension over resources, values, and the direction we take as a collective. Yet, our natural inclination to interact also fosters cooperation. Things like specialization, security, the pursuit of knowledge, and companionship make a collective invaluable. Society, then, emerges from this very tension—the delicate balance between individual will and collective order.

    Our Place as Individuals in the Social Fabric

    An individual’s relationship to society is equally nuanced. In my view, the paramount command for each of us is to love our neighbor and orient our lives toward God. This core Christian ethical responsibility dictates an outward-looking concern for others, yet it critically anchors responsibility within our own sphere of influence. While the collective good is undeniably important and should be prioritized when we can genuinely affect change, our ultimate responsibility isn’t to the totality of society—what Dostoevsky called ‘general love of humanity’—but for what we can directly control: the self.

    This means cultivating personal virtue, making ethical choices in daily interactions, and contributing positively within our own communities. Society, in turn, has a duty to its members, but this duty is reciprocal. It flows from the recognition that individuals have responsibilities toward each other. It’s not a top-down benevolence, but a framework of mutual obligation.

    Understanding Freedom and Authority

    Freedom, in this context, isn’t absolute license. All freedom is either freedom from or freedom to. We should possess freedom from things that cause harm—whether it’s physical violence, coercive manipulation, or the unjust suppression of conscience. Equally, we should have the freedom to choose things that benefit us, to pursue our vocations, and to act on good impulses. Crucially, to exercise these freedoms, we must also be free to express our perceptions about what’s beneficial and harmful, and to act on the former while restricting the latter.

    Broader, or higher, societal authority should be clearly codified into law, discriminating against no one group. These laws should ideally be general rules of conduct, equally applicable to all, providing a predictable framework for individual action rather than dictating specific outcomes.

    This idea comes from a fundamental principle of governance, which I derive from thinkers like Hayek and Mill: broader authority—the state or collective institutions—should err on the side of fewer restrictions and regulations. Its role is to establish and enforce the rules of the game, not to direct the play itself. Conversely, narrower authority, extending to its most narrow point in the self, should err on the side of being too restricted. This means exercising personal moral discipline and self-governance.

    This plays out with a clear distinction: the king declares that murder is forbidden, establishing a universal legal boundary, while the individual forbids hate in his own heart, engaging in the continuous, internal struggle for virtue. The former creates external order; the latter cultivates internal righteousness. The moment this moral hierarchy is dismembered is likely the same moment society begins to decline.

    The Unending Struggle

    Human beings are fallen creatures, and none of this will ever play out as a utopian vision. We’re not so malleable, in a Marxist sense, that our nature can be entirely shaped by policy or environmental conditions; there are inherent tendencies and proclivities that resist perfect social engineering. Nor are humans so inherently good that they don’t tend toward corruption when power is consolidated or accountability is removed. While humans are capable of immense wonders, they are equally capable of great atrocities. It’s not wrong to call humanity bad in its fallen state, but to call us irredeemable would be antithetical to the Christian ethos that informs my worldview.

    The telos of man, our ultimate purpose, is to obey God’s commands. Ideally, institutions should facilitate that process, creating an environment conducive to moral flourishing. However, due to human imperfection and the inherent limitations of collective structures, institutions are, perhaps, not capable of reaching that ideal state in their earthly manifestation.

    In many ways, I identify strongly with Friedrich Hayek’s arguments in The Road to Serfdom. His critique of collectivist policies and central planning resonates with my understanding of human nature and the necessary boundaries of societal authority. Hayek meticulously demonstrates how attempts to centrally plan society toward specific, desirable ends, even with the best intentions, inevitably lead to a loss of individual liberty and an escalation of coercive power and totalitarianism. I maintain a tentative rule-of-law position while I wait for the Lawmaker.

    Further Reading:

    • Dostoevsky, Fyodor. The Brothers Karamazov
    • Hayek, F. A. The Road to Serfdom
    • Marx, Karl, and Engels, Friedrich. The Communist Manifesto
    • Mill, John Stuart. On Liberty
  • An Argument for Agent Causation in the Origin of DNA’s Information

    An Argument for Agent Causation in the Origin of DNA’s Information

    NOTE: This is a design argument inspired by Stephen Meyer‘s design argument from DNA. Importantly, specified complexity is changed for semiotic code (which I feel is more precise) and intelligent design is changed to agent causation (which is more preferencial).

    This argument posits that the very nature of the information encoded in DNA, specifically its structure as a semiotic code, necessitates an intelligent cause in its origin. The argument proceeds by establishing two key premises: first, that semiotic codes inherently require intelligent (agent) causation for their creation, and second, that DNA functions as a semiotic code.

    Premise 1: The Creation of a Semiotic Code Requires Agent Causation (Intelligence)

    A semiotic code is a system designed for conveying meaning through the use of signs. At its core, a semiotic code establishes a relationship between a signifier (the form the sign takes, e.g., a word, a symbol, a sequence) and a signified (the concept or meaning represented). Crucially, in a semiotic code, this relationship is arbitrary or conventional, not based on inherent physical or chemical causation between the signifier and the signified. This requires an interpretive framework – a set of rules or a system – that is independent of the physical properties of the signifier itself, providing the means to encode and decode the meaning. The meaning resides not in the physical signal, but in its interpretation according to the established code.

    Consider examples like human language, musical notation, or traffic signals. The sound “stop” or the sequence of letters S-T-O-P has no inherent physical property that forces a vehicle to cease motion. A red light does not chemically or physically cause a car to stop; it is a conventionally assigned symbol that, within a shared interpretive framework (traffic laws and driver understanding), signifies a command to stop. This is distinct from a natural sign, such as smoke indicating fire. In this case, the relationship between smoke and fire is one of direct, necessary physical causation (combustion produces smoke). While an observer can interpret smoke as a sign of fire, the connection itself is a product of natural laws, existing independently of any imposed code or interpretive framework.

    The capacity to create and utilize a system where arbitrary symbols reliably and purposefully convey specific meanings requires more than just physical processes. It requires the ability to:

    Conceive of a goal: To transfer specific information or instruct an action.

    Establish arbitrary conventions: To assign meaning to a form (signifier) where no inherent physical link exists to the meaning (signified).

    Design an interpretive framework: To build or establish a system of rules or machinery that can reliably encode and decode these arbitrary relationships.

    Implement this system for goal-directed action: To use the code and framework to achieve the initial goal of information transfer and subsequent action based on that information.

    This capacity to establish arbitrary, rule-governed relationships for the purpose of communication and control is what we define as intelligence in this context. The creation of a semiotic code is an act of imposing abstract order and meaning onto physical elements according to a plan or intention. Such an act requires agent causation – causation originating from an entity capable of intentionality, symbolic representation, and the design of systems that operate based on abstract rules, rather than solely from the necessary interactions of physical forces (event causation).

    Purely natural, undirected physical processes can produce complex patterns and structures driven by energy gradients, chemical affinities, or physical laws (like crystal formation, which is a direct physical consequence of electrochemical forces and molecular structure, lacking arbitrary convention, an independent interpretive framework, or symbolic representation). However, they lack the capacity to establish arbitrary conventions where the link between form and meaning is not physically determined, nor can they spontaneously generate an interpretive framework that operates based on such non-physical rules for goal-directed purposes. Therefore, the existence of a semiotic code, characterized by arbitrary signifier-signified links and an independent interpretive framework for goal-directed information transfer, provides compelling evidence for the involvement of intelligence in its origin.

    Premise 2: DNA Functions as a Semiotic Code

    The genetic code within DNA exhibits the key characteristics of a semiotic code as defined above. Sequences of nucleotides (specifically, codons on mRNA) act as signifiers. The signifieds are specific amino acids, which are the building blocks of proteins.

    Crucially, the relationship between a codon sequence and the amino acid it specifies is not one of direct chemical causation. A codon (e.g., AUG) does not chemically synthesize or form the amino acid methionine through a direct physical reaction dictated by the codon’s molecular structure alone. Amino acid synthesis occurs through entirely separate biochemical pathways involving dedicated enzymes.

    Instead, the codon serves as a symbolic signal that is interpreted by the complex cellular machinery of protein synthesis – the ribosomes, transfer RNAs (tRNAs), and aminoacyl-tRNA synthetases. This machinery constitutes the interpretive framework.

    Here’s how it functions as a semiotic framework:

    • Arbitrary/Conventional Relationship: The specific assignment of a codon triplet to a particular amino acid is largely a matter of convention. While there might be some historical or biochemical reasons that biased the code’s evolution, the evidence from synthetic biology, where scientists have successfully engineered bacteria with different codon-amino acid assignments, demonstrates that the relationship is not one of necessary physical linkage but of an established (and in this case, artificially modified) rule or convention. Different codon assignments could work, but the system functions because the cellular machinery reliably follows the established rules of the genetic code.
    • Independent Interpretive Framework: The translation machinery (ribosome, tRNAs, synthetases) is a complex system that reads the mRNA sequence (signifier) and brings the correct amino acid (signified) to the growing protein chain, according to the rules encoded in the structure and function of the tRNAs and synthetases. The meaning (“add this amino acid now”) is not inherent in the chemical properties of the codon itself but resides in how the interpretive machinery is designed to react to that codon. This machinery operates independently of direct physical causation by the codon itself to create the amino acid; it interprets the codon as an instruction within the system’s logic.
    • Symbolic Representation: The codon stands for an amino acid; it is a symbol representing a unit of meaning within the context of protein assembly. The physical form (nucleotide sequence) is distinct from the meaning it conveys (which amino acid to add). This is analogous to the word “cat” representing a feline creature – the sound or letters don’t physically embody the cat but symbolize the concept.

    Therefore, DNA, specifically the genetic code and the translation system that interprets it, functions as a sophisticated semiotic code. It involves arbitrary relationships between signifiers (codons) and signifieds (amino acids), mediated by an independent interpretive framework (translation machinery) for the purpose of constructing functional proteins (goal-directed information transfer).

    Conclusion: Therefore, DNA Requires Agent Causation in its Origin

    Based on the premises established:

    1. The creation of a semiotic code, characterized by arbitrary conventions, an independent interpretive framework, and symbolic representation for goal-directed information transfer, requires the specific capacities associated with intelligence and agent causation (intentionality, abstraction, rule-creation, system design).
    2. DNA, through the genetic code and its translation machinery, functions as a semiotic code exhibiting these very characteristics.

    It logically follows that the origin of DNA’s semiotic structure requires agent causation. The arbitrary nature of the code assignments and the existence of a complex system specifically designed to read and act upon these arbitrary rules, independent of direct physical necessity between codon and amino acid, are hallmarks of intelligent design, not the expected outcomes of undirected physical or chemical processes.

    Addressing Potential Objections:

    • Evolution and Randomness: While natural selection can act on variations in existing biological systems, it requires a self-replicating system with heredity – which presupposes the existence of a functional coding and translation system. Natural selection is a filter and modifier of existing information; it is not a mechanism for generating a semiotic code from scratch. Randomness, by definition, lacks the capacity to produce the specified, functional, arbitrary conventions and the integrated interpretive machinery characteristic of a semiotic code. The challenge is not just sequence generation, but the origin of the meaningful, rule-governed relationship between sequences and outcomes, and the system that enforces these rules.
    • “Frozen Accident” and Abiogenesis Challenges: Hypotheses about abiogenesis and early life (like the RNA world) face significant hurdles in explaining the origin of this integrated semiotic system. The translation machinery is a highly complex and interdependent system (a “chicken-and-and egg” problem where codons require tRNAs and synthetases to be read, but tRNAs and synthetases are themselves encoded by and produced through this same system). The origin of the arbitrary codon-amino acid assignments and the simultaneous emergence of the complex machinery to interpret them presents a significant challenge for gradual, undirected assembly driven solely by chemical or physical affinities.
    • Biochemical Processes vs. Interpretation: The argument does not claim that a ribosome is a conscious entity “interpreting” in the human sense. Instead, it argues that the system it is part of (the genetic code and translation machinery) functions as an interpretive framework because it reads symbols (codons) and acts according to established, arbitrary rules (the genetic code’s assignments) to produce a specific output (amino acid sequence), where this relationship is not based on direct physical necessity but on a mapping established by the code’s design. This rule-governed, symbolic mapping, independent of physical causation between symbol and meaning, is the defining feature of a semiotic code requiring an intelligence to establish the rules and the system.
    • God-of-the-Gaps: This argument is not based on mere ignorance of a natural explanation. It is a positive argument based on the nature of the phenomenon itself. Semiotic codes, wherever their origin is understood (human language, computer code), are the products of intelligent activity involving the creation and implementation of arbitrary conventions and interpretive systems for goal-directed communication. The argument posits that DNA exhibits these defining characteristics and therefore infers a similar type of cause in its origin, based on a uniformity of experience regarding the necessary preconditions for semiotic systems.

    In conclusion, the sophisticated, arbitrary, and rule-governed nature of the genetic code and its associated translation machinery point to it being a semiotic system. Based on the inherent requirements for creating such a system—namely, the capacities for intentionality, symbolic representation, rule-creation, and system design—the origin of DNA’s information is best explained by the action of an intelligent agent.

  • Examining Claims of Macroevolution and Irreducible Complexity:

    Examining Claims of Macroevolution and Irreducible Complexity:

    A Creationist Perspective

    The debate surrounding the origin and diversification of life continues, with proponents of neo-Darwinian evolution often citing observed instances of speciation and adaptations as evidence for macroevolution and the gradual development of complex biological systems. A recent “MEGA POST” on Reddit’s r/DebateEvolution presented several cases purported to demonstrate these processes, challenging the creationist understanding of life’s history. This article will examine these claims from a young-Earth creationist viewpoint.

    The original post defined key terms, stating, “Macroevolution ~ variations in heritable traits in populations with multiple species over time. Speciation marks the start of macroevolution.” However, creationists distinguish between microevolution – variation and speciation within a created kind – and macroevolution – the hypothetical transition between fundamentally different kinds of organisms. While the former is observable and acknowledged, the latter lacks empirical support and the necessary genetic mechanisms.

    Alleged Cases of Macroevolution:

    The post presented eleven cases as evidence of macroevolution.

    1. Lizards evolving placentas: The observation of reproductive isolation in Zootoca vivipara with different modes of reproduction was highlighted. The author noted, “(This is probably my favourite example of the bunch, as it shows a highly non-trivial trait emerging, together with isolation, speciation and selection for the new trait to boot.)” From a creationist perspective, the development of viviparity within lizards likely involves the expression or modification of pre-existing genetic information within the lizard kind. This adaptation and speciation do not necessitate the creation of novel genetic information required for a transition to a different kind of organism.

    2. Fruit flies feeding on apples: The divergence of the apple maggot fly (Rhagoletis pomonella) into host-specific groups was cited as sympatric speciation. This adaptation to different host plants and the resulting reproductive isolation are seen as microevolutionary changes within the fruit fly kind, utilizing the inherent genetic variability.  

    3. London Underground mosquito: The adaptation of Culex pipiens f. molestus to underground environments was presented as allopatric speciation. The observed physiological and behavioral differences, along with reproductive isolation, are consistent with diversification within the mosquito kind due to environmental pressures acting on the existing gene pool.  

    4. Multicellularity in Green Algae: The lab observation of obligate multicellularity in Chlamydomonas reinhardtii under predation pressure was noted. The author stated this lays “the groundwork for de novo multicellularity.” While this is an interesting example of adaptation, the transition from simple coloniality to complex, differentiated multicellularity, as seen in plants and animals, requires a significant increase in genetic information and novel developmental pathways. The presence of similar genes across different groups could point to a common designer employing similar modules for diverse functions.  

    5. Darwin’s Finches, revisited 150 years later: Speciation in the “Big Bird lineage” due to environmental pressures was discussed. This classic example of adaptation and speciation on the Galapagos Islands demonstrates microevolutionary changes within the finch kind, driven by natural selection acting on existing variations in beak morphology.  

    6 & 7. Salamanders and Greenish Warblers as ring species: These examples of geographic variation leading to reproductive isolation were presented as evidence of speciation. While ring species illustrate gradual divergence, the observed changes occur within the salamander and warbler kinds, respectively, and do not represent transitions to fundamentally different organisms.  

    8. Hybrid plants and polyploidy: The formation of Tragopogon miscellus through polyploidy was cited as rapid speciation. The author noted that crossbreeding “exploits polyploidy…to enhance susceptibility to selection for desired traits.” Polyploidy involves the duplication of existing chromosomes and the combination of genetic material from closely related species within the plant kingdom. This mechanism facilitates rapid diversification but does not generate the novel genetic information required for macroevolutionary transitions.  

    9. Crocodiles and chickens growing feathers: The manipulation of gene expression leading to feather development in these animals was discussed. The author suggested this shows “how birds are indeed dinosaurs and descend within Sauropsida.” Creationists interpret the shared genetic toolkit and potential for feather development within reptiles and birds as evidence of a common design within a broader created kind, rather than a direct evolutionary descent in the Darwinian sense.  

    10. Endosymbiosis in an amoeba: The observation of a bacterium becoming endosymbiotic within an amoeba was presented as analogous to the origin of organelles. Creationists propose that organelles were created in situ with their host cells, designed for symbiotic relationships from the beginning. The observed integration is seen as a function of this initial design.

    11. Eurasian Blackcap: The divergence in migratory behavior and morphology leading towards speciation was highlighted. This represents microevolutionary adaptation within the bird kind in response to environmental changes.

    Addressing “Irreducible Complexity”:

    The original post also addressed the concept of irreducible complexity with five counter-examples.

    1. E. Coli Citrate Metabolism in the LTEE: The evolution of citrate metabolism was presented as a refutation of irreducible complexity. The author noted that this involved “gene duplication, and the duplicate was inserted downstream of an aerobically-active promoter.” While this demonstrates the emergence of a new function, it occurred within the bacterial kind and involved the modification and duplication of existing genetic material. Therefore, is no evidence here to suggest an evolutionary pathway for the origin of citrate metabolism.

    2. Tetherin antagonism in HIV groups M and O: The different evolutionary pathways for overcoming tetherin resistance were discussed. Viruses, with their rapid mutation rates and unique genetic mechanisms, present a different case study than complex cellular organisms. This is not analogous in the slightest.

    3. Human lactose tolerance: The evolution of lactase persistence was presented as a change that is “not a loss of regulation or function.” This involves a regulatory mutation affecting the expression of an existing gene within the human genome. Therefore, it’s not a gain either. This is just a semantic game.

    4. Re-evolution of bacterial flagella: The substitution of a key regulatory protein for flagellum synthesis was cited. The author noted this is “an incredibly reliable two-step process.” While this demonstrates the adaptability of bacterial systems, the flagellum itself remains a complex structure with numerous interacting components – none of said components have gained or lost the cumulative necessary functions.

    5. Ecological succession: The development of interdependent ecosystems was presented as a challenge to irreducible complexity. However, ecological succession describes the interactions and development of communities of existing organisms, not the origin of the complex biological systems within those organisms.  

    Conclusion:

    While the presented cases offer compelling examples of adaptation and speciation, we interpret these observations as occurring within the boundaries of created kinds, utilizing the inherent genetic variability designed within them. These examples do not provide conclusive evidence for macroevolution – the transition between fundamentally different kinds of organisms – nor do they definitively refute the concept of irreducible complexity in the origin of certain biological systems. The fact that so many of these are, if not neutral, loss-of-function or loss-of-information mutations creates a compelling case for creation as the inference to the best explanation. The creationist model, grounded in the historical robustness of the Biblical account and supported by scientific evidence (multiple cross-disciplinary lines), offers a coherent alternative explanation for the diversity and complexity of life. As the original post concluded,

    “if your only response to the cases of macroevolution are ‘it’s still a lizard’, ‘it’s still a fly you idiot’ etc, congrats, you have 1) sorely missed the point and 2) become an evolutionist now!”

    However, the point is not that change doesn’t occur (we expect that on our model), but rather the kind and extent of that change, which, from a creationist perspective, remains within divinely established explanatory boundaries of the creation model and contradicts a universal common descent model.

    References:

    Teixeira, F., et al. (2017). The evolution of reproductive isolation during a rapid adaptive radiation in alpine lizards. Proceedings of the National Academy of Sciences, 114(12), E2386-E2393. https://doi.org/10.1073/pnas.1635049100

    Fonseca, D. M., et al. (2023). Rapid Speciation of the London Underground Mosquito Culex pipiens molestus. ResearchGate. https://doi.org/10.13140/RG.2.2.23813.22247

    Grant, P. R., & Grant, B. R. (2017). Texas A&M professor’s study of Darwin’s finches reveals species can evolve in two generations. Texas A&M Today. https://stories.tamu.edu/news/2017/12/01/texas-am-professors-study-of-darwins-finches-reveals-species-can-evolve-in-two-generations/

    Feder, J. L., et al. (1997). Allopatric host race formation in sympatric hawthorn maggot flies. Proceedings of the National Academy of Sciences, 94(15), 7761-7766. https://doi.org/10.1073/pnas.94.15.7761

    Tishkoff, S. A., et al. (2013). Convergent adaptation of human lactase persistence in Africa and Europe. Nature Genetics, 45(3), 233-240. https://doi.org/10.1038/ng.2529 (Note: While the URL provided redirects to PMC, the original publication is in Nature Genetics. I have cited the primary source.)

  • Tiny Water Fleas, Big Questions About Evolution

    Tiny Water Fleas, Big Questions About Evolution

    Scientists recently spent a decade tracking the genetics of a tiny water creature called Daphnia pulex, a type of water flea. What they found is stirring up a lot of questions about how evolution really works.  

    Imagine you’re watching a group of people over ten years, noting every little change in their appearance. Now, imagine doing that with the genetic code of hundreds of water fleas. That’s essentially what these researchers did. They looked at how the frequencies of different versions of genes (alleles) changed from year to year.

    What they discovered was surprising. On average, most of the genetic variations they tracked didn’t seem to be under strong selection at all. In other words, most of the time, the different versions of genes were more or less equally successful. It’s like watching people over ten years and finding that, on average, nobody’s hair color really changed much.

    However, there was a catch. Even though the average trend was “no change,” there were a lot of ups and downs from year to year. One year, a particular gene version might be slightly more common, and the next year, it might be slightly less common. This means that selective pressures—the forces that push evolution—were constantly changing.

    Think of it like the weather. One day it’s sunny, the next it’s rainy, but the average temperature over the year might be pretty mild. The researchers called this “fluctuating selection.”

    They also found that these genetic changes weren’t happening randomly across the whole genome. Instead, they were happening in small, linked groups of genes. These groups seemed to be working together, like little teams within the genome.  

    So, what does this all mean?

    Well, for one thing, it challenges the traditional idea of gradual, steady evolution via natural selection. If evolution were a slow, constant march forward, you’d expect to see consistent changes in gene frequencies over time being promoted by the environment. But that’s not what they found. Instead, they saw a lot of back-and-forth, with selection pressures constantly changing and equalizing at a net-zero.  

    From a design perspective, this makes a lot of sense. Instead of random changes slowly building up over millions of years, this data suggests that organisms are incredibly adaptable, designed to handle constant environmental shifts. The “teams” of linked genes working together look a lot like pre-programmed modules, ready to respond to whatever challenges the environment throws their way.

    The fact that most gene variations are “quasi-neutral,” meaning they don’t really affect survival on average, also fits with the idea of a stable, created genome. Rather than constantly evolving new features, organisms might be designed with a wide range of genetic options, ready to be used when needed.

    This study on tiny water fleas is a reminder that evolution is a lot more complex than we often think. It’s not just about random mutations and gradual changes. It’s about adaptability, flexibility, and a genome that’s ready for anything. And maybe, just maybe, it’s about design.

    (Based on: The genome-wide signature of short-term temporal selection)

  • Ologies,ologies, everywhere, Nor any drop to drink…

    Ologies,ologies, everywhere, Nor any drop to drink…

    So, you’re telling me that every field of study, from the submicroscopic quarks of quantum physics to the grand cosmic spirals of astrophysics, can’t help but stumble over the God question? Metaphysics? Yes. Phenomenology? Check. Cosmology? Double-check. Epistemology? What do you know! Even dear old biology, with all its little proteins and DNA, can’t resist a good teleological head-scratcher.

    Now, I’m not saying this proves anything. I’m just saying, if you walk into a library and every book has a page on Bigfoot, you might start to wonder if there’s really something to that hairy fellow lurking in the woods. And when every intellectual pursuit is pondering about the divine, maybe, just maybe, He’s not a mere figment of our collective imagination.

    In an interview on the Soul Boom podcast, the well-known agnostic skeptic Alex O’Connor was asked what the best argument for the existence of God was. He said, “There are so many, I think there’s even an argument for the existence of God that can be made just from the number of arguments for the existence of God. The fact that there’s an argument from beauty, and argument from contingency, from ontology, from maths… Anywhere you look, there’s an argument for God, so you could always make an argument for God’s existence from the sheer number of arguments for God’s existence.”

    So in your honour, Alex, here is a little syllogism (albeit tongue and cheek):

    Let’s get logical for a second:

    1. Premise 1: Multiple independent disciplines (across diverse “ologies”) converge on arguments that point to or require a transcendent foundation resembling theistic conceptions.
    2. Premise 2: When independent intellectual traditions across diverse cultures and disciplines converge on similar conclusions despite different methodologies and starting assumptions, this convergence provides strong evidence for the validity of those conclusions.
    3. Premise 3: This convergence pattern exists regarding arguments that point to a transcendent foundation for reality, knowledge, consciousness, morality, etc.
    4. Conclusion: Therefore, there is strong evidence for the validity of a transcendent foundation (resembling theistic conceptions) for reality.

    Boom. Check mate, atheists.

    Of course, the skeptics will say, “But correlation doesn’t equal causation!” And to that, I say, “Sure, but it’s a heck of a coincidence, isn’t it?” It’s like finding a universal remote that works on every TV in the world. You might start to suspect someone is behind all these converging coincidences.

    The Information Age and the Divine Download

    Think about it: information theory tells us that complex information requires an intelligent source. Biological systems scream design, the fine-tuning of the universe is downright suspicious, and even our own brains’ consciousness hint at something beyond the purely material. As Dr. Stephen C. Meyer argues in his book “Signature in the Cell“, the digital code within DNA points to an intelligent cause.

    And if our brains can conjure up these elaborate arguments for God, maybe, just maybe, they’re picking up a signal from the ultimate source code. A divine download, if you will.

    A Gentle Nudge

    Maybe this is what Blaise Pascal thinking when he made his wager? We all must make a choice about believing in God’s existence or not with incomplete information, and the potential gains for accepting Him far outweigh the negatives. Perhaps the next time you’re investigating an obscure ‘ology’, and you find yourself pondering the God question, remember: in the end it comes down to a subjective decision. And the universe, in all its vastness and complexity, seems to be whispering which path to choose.

    Now, I’m not saying you have to believe any of this. But maybe, just maybe, it’s worth a second thought?

    Video: “Alex O’Connor Explores the Mysteries of God | Soul Boom” Soul Boom w/ Rainn Wilson (2025)

  • How Created Heterozygosity Explains Genetic Variation

    How Created Heterozygosity Explains Genetic Variation

    A Conceptual Introduction:

    The study of genetics reveals a stunning tapestry of diversity within the living world. While evolutionary theory traditionally attributes this variation to random mutations accumulated over vast stretches of time, a creationist perspective offers a compelling alternative: Created Heterozygosity. This hypothesis proposes that God designed organisms with pre-existing genetic variability, allowing for adaptation and diversification within created kinds. This concept not only aligns with biblical accounts but also provides a more coherent explanation for observed genetic phenomena.

    The evolutionary narrative hinges on the power of mutations to generate novel genetic information. However, the overwhelming evidence points to the deleterious nature of most mutations. This can be seen in the famous Long-Term Evolutionary Experiments with E. coli. Notice, in the graphic below (Hofwegen, 2016), just how much information gets lost due to selection pressures and mutation. This is known as genetic entropy, the gradual degradation of the genome due to accumulated harmful mutations, poses a significant challenge to the idea that random mutations can drive the complexification of life. Furthermore, the sheer number of beneficial mutations required to explain the intricate design of living organisms strains credulity.

    “Genomic DNA sequencing revealed an amplification of the citT and dctA loci and DNA rearrangements to capture a promoter to express CitT, aerobically. These are members of the same class of mutations identified by the LTEE. We conclude that the rarity of the LTEE mutant was an artifact of the experimental conditions and not a unique evolutionary event. No new genetic information (novel gene function) evolved.”

    In contrast, Created Heterozygosity suggests that God, the master engineer, imbued organisms with a pre-programmed potential for variation. Just as human engineers design systems with built-in flexibility, God equipped his creation with the genetic resources necessary to adapt to diverse environments. This concept resonates with the biblical affirmation that God created organisms “according to their kinds,” implying inherent boundaries within which variation can occur. Recent research, such as the ENCODE project and studies on the dark proteome, has revealed an astonishing level of complexity and functionality within the genome, further supporting the idea of a designed system.

    Baraminology, the study of created kinds, provides empirical support for Created Heterozygosity. The rapid diversification observed within baramins, such as the canid or feline kinds, can be readily explained by the expression of pre-existing genetic information. For example, the diverse array of dog breeds can be traced back to the inherent genetic variability within the canine kind, rather than the accumulation of countless beneficial mutations.

    Of course, objections arise. The role of mutations in adaptation is often cited as evidence against Created Heterozygosity. However, certain mutations may represent the expression of designed backup systems or pre-programmed responses to environmental changes. Moreover, the vast majority of observed genetic variation can be attributed to the shuffling and expression of existing genetic information, rather than the creation of entirely new information.

    The implications for human genetics are profound. Created Heterozygosity elegantly explains the high degree of genetic variation within the human population, while remaining consistent with the biblical account of Adam and Eve as the progenitors of all humanity. Research on Mitochondrial Eve and Y-Chromosome Adam/Noah further supports the idea of a recent, common ancestry for all people.

    In conclusion, Created Heterozygosity provides a compelling framework for understanding genetic variation from a creationist perspective. By acknowledging the limitations of mutation-driven evolution and recognizing the evidence for designed diversity, we can appreciate the intricate wisdom of the Creator and the coherence of the biblical narrative. This concept invites us to explore the vastness of genetic diversity with a renewed sense of awe, recognizing the pre-programmed potential inherent in God’s magnificent creation.

    Citation:

    1. Van Hofwegen, D. J., Hovde, C. J., & Minnich, S. A. (2016). Rapid Evolution of Citrate Utilization by Escherichia coli by Direct Selection Requires citT and dctA. Journal of bacteriology, 198(7), 1022–1034.