Search This Blog

Friday 10 June 2022

Primeval A.I?

 How Brains Use Data Compression to Get Things Right

Evolution News @DiscoveryCSC

We are used to thinking of data compression in connection with computers but a recent study with mice shows that brains compress data too. The researchers ask us to imagine a dilemma from an

early video game:


If you were a kid in the 80s, or are a fan of retro video games, then you must know Frogger. The game can be quite a challenge. To win, you must first survive a stream of heavy traffic, only to then narrowly escape oblivion by zig-zagging across speeding wooden logs. How does the brain know what to focus on within all this mess?


CHAMPALIMAUD CENTRE FOR THE UNKNOWN, “THE BRAIN APPLIES DATA COMPRESSION FOR DECISION-MAKING” AT EUREKALERT (JUNE 6, 2022)

Driving in snarled, heavy traffic can feel like that…


Neuroscientists are well aware that, when processing data from our senses, our brains routinely block out information that is irrelevant to an immediate, pressing problem. A person who suddenly smells smoke from the kitchen might barely hear the ring tone of an anxiously awaited, important phone call just coming in.


Priority Processing

But are the cognitive areas of our brains similarly adapted to priority processing? It can’t be done simply by simply blocking out irrelevant signals. If it’s cognitive, there aren’t any signals. The current research, using mice, points to a different technique for focused cognitive decision-making:


A study published today (June 6th) in the scientific journal Nature Neuroscience provides a possible solution: data compression. ‘Compressing the representations of the external world is akin to eliminating all irrelevant information and adopting temporary ‘tunnel vision’ of the situation”, said one of the study’s senior authors Christian Machens, head of the Theoretical Neuroscience lab at the Champalimaud Foundation in Portugal.


CHAMPALIMAUD CENTRE FOR THE UNKNOWN, “THE BRAIN APPLIES DATA COMPRESSION FOR DECISION-MAKING” AT EUREKALERT (JUNE 6, 2022); THE PAPER REQUIRES A FEE OR SUBSCRIPTION BUT YOU CAN READ THE PREPRINT FOR FREE.

So how did the mice show this?:


The mice were challenged with estimating if two tones were separated by an interval longer than 1.5 seconds while researchers recorded the activity of dopamine neurons, known to play a key role in learning the value of actions.


“If the animal wrongly estimated the duration of the interval on a given trial, then the activity of these neurons would produce a “prediction error” that should help improve performance on future trials,” Christian Machens, one of the study’s senior authors, said in a news release. 


ADAM SCHRADER, “BRAIN APPLIES ‘DATA COMPRESSION’ WHEN MAKING DECISIONS, STUDY FINDS” AT UPI (JUNE 6, 2022)

Of course, the mice were was rewarded for getting the answer right.


The researchers noted in a preprint of the study that the mice almost always made the correct choice, but that the results became more variable the closer they were to the 1.5-second target. Previous research has shown that animals estimate their own ability to correctly classify different stimuli.


ADAM SCHRADER, “BRAIN APPLIES ‘DATA COMPRESSION’ WHEN MAKING DECISIONS, STUDY FINDS” AT UPI (JUNE 6, 2022)

Loss but Not Failure

And where does compressed data come in? Greater compression resulted in some information loss (lossy compression) but not total failure:


The team discovered that only models with a compressed task representation could account for the data. “The brain seems to eliminate all irrelevant information. Curiously, it also apparently gets rid of some relevant information, but not enough to take a real hit on how much reward the animal collects overall. It clearly knows how to succeed in this game”, Machens said.


CHAMPALIMAUD CENTRE FOR THE UNKNOWN, “THE BRAIN APPLIES DATA COMPRESSION FOR DECISION-MAKING” AT EUREKALERT (JUNE 6, 2022)

Eating very much concentrates the mouse mind; we just didn’t know that the mice use a technique somewhat like AI to do it.


Read the rest at Mind Matters News, published by Discovery Institute’s Bradley Center for Natural and Artificial Intelligence.

Another look at Darwinism's OOL problem.

 Topoisomerase Origins Defy Darwinian Explanations

David Coppedge

When Discovery Institute released the new animation of Topoisomerase II back in February, evolutionists could have sought to refute it. They could have submitted detailed accounts of how this multi-talented tool arose by a Darwinian process from simpler ancestors. Instead, they turned on their usual speculation machine.


A Review of Topoisomerases

Also in February, Yves Pommier from the National Cancer Institute (NCI) and three colleagues wrote a review article in Nature Reviews Molecular Biology about “Human topoisomerases and their roles in genome stability and organization.” This team no doubt wrote before the animation came out, and likely were unaware of it. Their review does not address origins; there is no mention of evolution, natural selection, or common ancestry. Neither is there any indication of intelligent design, although they mention molecular machines and motors six times.


First, let us marvel at the ubiquity and versatility of these molecular machines. It raises the question of whether any incipient life form could do without them, because even RNA molecules are subject to topological problems. An unstable genome is a dead genome.


DNA topoisomerases are present in all domains of life to resolve a wide variety of topological problems arising from the length of the human double-helix DNA polymer (about 3 × 109 bp) as it is folded, bent and highly compacted into the cell nucleus while remaining accessible to RNA and DNA polymerases. In addition, each human cell contains 100–1,000 copies of circular, ~16,000 bp mitochondrial DNA (mtDNA), as well as long and folded RNAs that are even more abundant than DNA and present in all subcellular compartments. [Emphasis added.]


There are six known topoisomerases in humans. “We discuss their specific and overlapping roles as regulators of nucleic acid topology and metabolism,” they begin, also indicating that failure in those roles often lead to cancer and other diseases (see Table 1 for a frightening list of syndromes caused by topoisomerase malfunctions: seizures, retardation, autism, premature aging, various cancers, and more).


To manage the topology of the long, folded and intertwined DNA and RNA polymers that are attached to scaffolding structures and are metabolically and dynamically processed by large molecular machines (such as transcription, DNA replication, chromatin remodelling and DNA repair complexes), human cells use their six topoisomerases often redundantly, but also in specific ways depending on the topological problem, the surrounding cellular structures and the differentiation status of the cell. This section outlines topological problems and the molecular solutions provided by each of the topoisomerases.TOPS Are Always Needed

Topological problems are most likely to occur when the polymerases and helicases attach to DNA and RNA during key operations: transcription, replication, and chromatin remodeling among them. Operations that involve loop extrusion create risks for knots, over-twists, under-twists, catenanes, and other forms of torsional strain. These can lead to crossovers of the strands that can result in improper joining. Even single-stranded RNAs are subject to distortions in the genetic sequence. Operations that bring promoters and enhancers together, which can be considerable distances apart, can also lead to chromatin loops that require topoisomerase activity. 


The six TOP machines are well equipped to handle specific emergencies, and they do not work in isolation; additional repair enzymes and cofactors must be at hand in all parts of the cell.


Human topoisomerases and the associated repair enzymes tyrosyl-DNA phosphodiesterases (TDPs; TDP1 and TDP2) are located both in the nucleus and in mitochondria; in addition, cytoplasmic RNAs are handled by TOP3B and TDP2.


Figures 1-3 in the paper show simplified diagrams of some common topological problems and illustrate which TOP machines work on them. The modes of action, though, as illustrated in the DI animation, are not discussed in detail in the review. The authors do speak of a “fine-tuned balance” between TopIIA and condensin during mitosis, pointing to another design requirement: just-in-time delivery of parts, reminiscent of assembly lines and operating rooms. Throughout replication and condensation of chromosomes during mitosis, the right TOP machines need to present at the right times and in the right quantities. Checkpoints ensure these requirements are met. 


All mutations discussed in the review are disease-causing if not life threatening. Darwinians would wait in vain for a rare beneficial mutation, say from a UV ray, to “help” in any way. And if it occurred in a somatic cell instead of a germ cell, it would be but a brief and quickly forgotten stroke of luck.


Topoisomerases are magicians of DNA and RNA, and their full range of functions remain to be discovered.


How Can Evolutionists Darwinize All This?

Considering these facts, only a bold (or reckless?) individual would attempt to account for the origin of the topoisomerase system by unguided natural processes. One such attempt appeared in bioRxiv by Guglielmini and five co-authors, “Viral origin of eukaryotic type IIA DNA topoisomerases.” They start by recognizing the problem:


Type II DNA topoisomerases of the family A (Topo IIA) are present in all bacteria (DNA gyrase) and eukaryotes. In eukaryotes, they play a major role in transcription, DNA replication, chromosome segregation and modulation of chromosome architecture. The origin of eukaryotic Topo IIA remains mysterious since they are very divergent from their bacterial homologues and have no orthologues in Archaea.


And so, onward they proceed into the darkness of the mystery, looking for Darwin’s Cheshire-cat smile in the trees. But their entire approach is to look for homology between Type IIA topoisomerase genes and DNA sequences in certain viruses. 


To elucidate the origin of the eukaryotic Topo IIA, we performed in-depth phylogenetic analyses combining viral and cellular Topo IIA homologs. Topo IIA encoded by bacteria and eukaryotes form two monophyletic groups nested within Topo IIA encoded by Caudoviricetes and Nucleocytoviricota, respectively…. The topology of our tree suggests that the eukaryotic Topo IIA was probably acquired from an ancestral member of the Nucleocytoviricota of the class Megaviricetes, before the emergence of the last eukaryotic common ancestor (LECA). This result further highlights a key role of these viruses in eukaryogenesis and suggests that early proto-eukaryotes used a Topo IIB instead of a Topo IIA for solving their DNA topological problems.


The homology argument, as shown in our video Long Story Short: Homology, is a circular fallacy: “Homology can’t be used as evidence for evolution because it assumes the very thing it’s trying to prove.” There’s also a personification fallacy in that last sentence. What in a proto-eukaryote, if such a thing existed, could decide it had a topological problem and would know how to latch onto a Topo IIB to solve it? And where did that handy tool come from? 


With the root of the eukaryotic tree being still debated (Burki et al. 2019), it is difficult to propose a scenario for the evolution of Topo IIAs in eukaryotes. From our phylogenetic analyses, one cannot exclude that LECA already contained more than one Topo IIA.


Needless to say, their “scenario” presupposes the existence of Topo IIB and the viral genome to begin with. Some origin story! Begin with the thing already existing.


The eukaryotic molecular fabric appears to be a melting pot of proteins that originated in Nucleocytoviricota (mainly Megaviricetes), those that emerged de novo in the eukaryotic stem branch, proteins inherited from the bacterial ancestor of mitochondria and chloroplasts, and proteins that had ancestors in Archaea (in two domains scenarios) or in the common ancestor of Archaea and eukaryotes (in three domains scenario). Sorting out the viral component of our eukaryotic ancestors is now a major task in understanding eukaryogenesis.


This glimpse into the mental perspiration of Darwinians to account for the origin of exquisitely orchestrated factories of molecular machines serves a purpose other than entertainment. It shows that intelligent design remains the only serious contender for explaining the origin of life. We just need to get the word out. Sharing our animation on social media is a good way to participate.

Information driven evolution V. Evolution driven information?

 Here’s a New Evolutionary Theory Based on Information

Evolution News @DiscoveryCSC


One reason that the theory of evolution is controversial is the claim that sheer randomness produces information. That is, randomly generated events are somehow selected for survival and continuing complex development (Darwinian evolution). The theory is understandably popular because, if correct, it would answer a great many questions. The problem is, we do not see randomly generated events producing complex mechanisms in the life around us. We are asked, however, to believe that this modern synthesis (MS) is true over the grand sweep of evolutionary time.


The Third Way

Over the years, it has become evident that evolution happens in a number of ways, including horizontal gene transfer between unrelated species, epigenetic inheritance of genes that changed during our parents’ lifetimes, and convergent evolution — where vastly different life forms end up with very similar mechanisms as a result of pursuing a common goal. Efforts to incorporate these processes into evolutionary theory are sometimes called the the Third Way or extended evolutionary synthesis (EES).


A new model of evolution relies on information theory, which is itself interesting because information is governed by different rules from matter and energy. For example, it is created by ruling out possibilities, it is relational, not causal, and it is not reduced by being shared. It is also immaterial. For example, Einstein’s bomb equation, e = mc2, had a huge impact on the world but by itself, it is an immaterial idea.


Information can be stripped of all matter and appear in a variety of media: We could phone and tell you the winning lottery number or send you an email or a letter about it or discuss it on radio or TV. Vastly different material media; same information.

<iframe width="770" height="433" src="https://www.youtube.com/embed/aA-FcnLsF1g" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Different Questions, Different Answers

Reinterpreting evolution as a transfer of information will lead to both different questions and different answers.


The authors of a recent open access paper in the journal BioSystems, marine researcher Rasmus Skern-Mauritzen and forester Thomas Nygaard Mikkelsen, make clear that they understand information to be immaterial. Here is the Summary of their Information Continuum Model of evolution:


Summary


1. Information is immaterial by nature but must have a physical form to exist.


2. Inherited information may be found in many forms.


3. The forms have divergent properties and information may over time change its physical form.


4. We suggest the term ‘hereditome’ to refer to the sum of inherited information and its forms.


5. The substrate of natural selection is immaterial information.


6. The Information Continuum Model is a simple heuristic model that allows evolution and natural selection to be investigated without conceptual restrictions imposed by the properties of individual hereditome components.


7. The conceptual nature of Information Continuum Model enables it to serve as an interdisciplinary platform for collaboration between natural and social sciences.


Read the rest at Mind Matters News, published by Discovery Institute’s Bradley Center for Natural and Artificial Intelligence.

Daring to doubt Darwin: in the beginning.

 Meet Samuel Haughton, Darwin’s First Scientific Critic

Neil Thomas

The first unofficial critic of Charles Darwin’s Origin of Species was Whitwell Elwin, editor of the journal Quarterly Review, selected by Darwin’s publishing house to vet his manuscript in advance of possible publication. Elwin memorably advised against publication on the grounds that the work was “a wild and foolish piece of imagination” whose author would have been better advised to omit his speculative flights and confine himself to the subject of pigeons. Elwin’s magnificent bathos was in the event disregarded by the press’s trustees who went on to publish regardless. However, Elwin’s negative verdict was subsequently supported in many essentials by the great majority of formal reviewers, as David Hull has documented.1 Yet neither Elwin nor the official reviewers were the first to pass judgement on Darwin’s ideas, for they had all been preceded by an Irish academic: Professor Samuel Haughton.


Awful Force

Haughton has been down on us with awful force. 2


CHARLES DARWIN

In his autobiography Darwin gives a short mention of Haughton,3 a professor of geology at Dublin, who had already heard of the pre-publication airing accorded to the views of both Darwin and Wallace at the fabled meeting of the Linnaean Society organized by Charles Lyell and Joseph Hooker in London more than a year before the official publication of the Origin. Darwin reports Haughton’s verdict as having been that “all that was new in there was false, and what was true was old.” This was a painfully honest representation of remarks Haughton really did make to members of the Geological Society of Dublin on February 9, 1859.4 He further developed his comments in an anonymous article written for the 1860 edition of The Natural History Review.5


Taking up Haughton’s point, there is no doubt that many of Darwin’s ideas were old, some ancient. Had Darwin been able to read the ancient writers, writes Rebecca Stott, “he might have recognized in parts of Aristotle’s writings and in corners of Epicurus, Democritus and Empedocles the glimmerings of thoughts and questionings that were remarkably similar to his own.”6 Haughton showed a greater familiarity with ancient writings than Darwin, but had little respect for philosophical speculations he termed puerile or for their authors, whom he deemed “weavers of pleasant webs of fiction.” He showed no more respect for those moderns who resorted to the same sort of speculative habits of thoughts as their remote forbears in ancient Greece and Rome, and who, he wrote, were wont to draw “large conclusions from slender premises.”7


Not Likely to Impress

The idea of variations selected by competition was a commonplace of Victorian thought, not likely when developed in conversation to impress clever men as a dazzling ingenuity. 8


WILLIAM IRVINE

Yet when Haughton wrote that much of Darwin and Wallace’s presentations represented a “truism,” he was referring not so much to the ancients as to more immediate predecessors in the 18th and 19th centuries. The term “old” in his usage essentially meant “old hat.” For instance, it was well known that the 18th-century French naturalist Buffon had identified various factors later synthesized and unified by Darwin. These matters of more or less common observation included: life tends to multiply faster than its food supply; there is typically a struggle for existence; nature offsets the effects of its own over-fecundity (by culling); the fittest win out in the competition for limited resources. Such matters were taken for granted by scientists and livestock breeders alike in the following century.


Little wonder that Loren Eiseley observed that Darwin was building on sundry “premonitory beginnings” to bring about a creative synthesis of predecessors’ hints and that “natural selection was in the air, was in a sense demanding to be born.”9The distinguished Victorian writer G. H. Lewes had long since observed that Darwin supplied “an articulate expression to the thought which had been inarticulate in many minds.”10 It was doubtless for that reason that Darwin, after the publication of Origin, had some rather unwelcome accusations of plagiarism leveled at him.


The Pretenders

In the 1860s a number of persons came forward to stake a claim to having discovered the very phenomenon which Darwin always regarded as his own intellectual fiefdom, natural selection. Darwin might have fondly supposed that Wallace was his sole rival, but now others came forward with the ambition of advancing their claims.11 The claims of the Darwinian contenders were extremely modest and uncontroversial compared with those that Darwin was to advance. Take for instance the first of the contenders in chronological ranking, William Wells. In 1813 Wells read out a paper to the Royal Society of London touching on the subject of African ancestry having the advantage of conferring immunity to certain diseases. Some would bear disease better than others, he said. Those would consequently multiply, the others decrease, not only from their inability to combat the disease but also from their disadvantage in contending with their stronger peers. There is little more there than Buffon had advanced, and indeed little that might have displeased Haughton.


The same might be said for commercial horticulturalist Patrick Matthew who put forward his own survival-of-the-fittest idea in an appendix to a somewhat recondite publication called Timber and Naval Arboriculture in 1831:


As Nature, in all her modifications of life, has a power of increase far beyond what is needed to supply the place of what falls by Time’s decay, those individuals who possess not the requisite strength, swiftness, hardihood, or cunning, fall prematurely without reproducing — either a prey to their natural devourers, or sinking under disease, generally induced by want of nourishment, their place being occupied by the more perfect of their own kind, who are pressing on the means of subsistence.12


Matthew expressly stated that the conception of natural selection “came intuitively as a self-evident fact without the effort of concentrated thought.” It had not occurred to him that he had made a great discovery and he clearly saw his perceptions as everyday truisms for persons concerned with growing plants or rearing animals. Such empirically observable phenomena required no special explanation, Matthew stated.


Thomas Malthus

Darwin knew little or nothing of these somewhat obscure pretenders to his crown, but instead paid tribute to the demographer Thomas Malthus for providing him with his vital spark of inspiration. Malthus’s dominant concern was competition between humans for resources to survive, what Herbert Spencer was later to lexicalize as the battle for the survival of the fittest. Reading Malthus’s work on human populations13 out of personal interest, it dawned on Darwin that he might redirect Malthus’s ideas about laissez-faire capitalist societies to the struggle for existence in the wider biological world. Using that analogy, he concluded that


favourable variations would tend to be preserved, and unfavourable ones to be destroyed. The results of this would be the formation of a new species. Here, then, I had at last got a theory by which to work … I saw, on reading Malthus on population, that natural selection was the inevitable result of the rapid increase of all organic beings [… Malthus] gave me the long-sought clue to the effective agent in the evolution of organic species.14


Malthus’s ideas were largely consistent with what Wells and Matthew had stated and so not startlingly novel. Even Darwin’s son, Francis, feeling the matter to be self-evident, expressed surprise that his father had found his reading of Malthus such a revelation when many others such as Erasmus Darwin, William Paley, and Charles Lyell had already described the same struggle for existence in comparable terms. Friedrich Engels too was unimpressed by the Darwin/Malthus connection, writing that it was not necessary to have consulted Malthus in order to perceive the struggle for existence since this was an idea which cohered effortlessly and intuitively with the social attitudes of the upper classes in Europe. Engels viewed the Malthusian idea as a tacit ratification of the individualist ideology of the arriviste merchants then acquiring a sphere of power in Europe.15 In fact, Malthus’s ideas hit such a chord of recognition that that they were used as leverage to alter the older but more generous Elizabethan Poor Law in Great Britain (under the new law the poor had to compete for work or else be consigned to the workhouse).


Such knowledge as that listed above would doubtless have counted in Haughton’s terms as being “old.” In fact these various disclosures from other contenders coming shortly after the publication of Origin prompted the conclusion that Darwin’s theory “was just as much the discovery of British clergymen, doctors, fruit-farmers and gentlemen-naturalists working away with microscopes in the British provinces.”16 In a limited sense this conclusion is true, but it fails to take account of Darwin’s significant extension and elaboration of his theory into areas which Haughton came to see as being “false” and “contrary to fact.” 


The Formation of New Species

What stands out as being incongruous in Darwin’s response to his reading of Malthus and hence in serious need of further explanation is the single sentence, “The results of this would be the formation of new species.” Malthus was unconcerned with biological matters and had obviously written nothing about the transmutation of species, so that, as it stands, the sentence looks to be an unheralded non sequitur — an idea Darwin chose to tack on rather than a logical entailment or corollary of anything touched upon by Malthus. Whence this anomaly?


The truth of the matter appears to be that Darwin was reading Malthus through spectacles he had “borrowed” from his grandfather, Erasmus Darwin. Charles’s highly elliptical reasoning only becomes clear in the context of that transmutational speculation, going back more than a century, that he was privy to via his grandfather. In that preceding century a number of naturalists had mooted the possibility of one species modulating biologically into another one over vast swathes of time, what Charles’s grandfather called transmutation. His grandson clearly “picked up the ball and ran” with the theory, arguably — to employ a sporting metaphor — beyond the perimeter of the playing field and clean out of the stadium.


Hence the younger Darwin’s (Erasmian) hypothesis was that successful members of any given species would not only become stronger and fitter at the micro level but, at the macro level, might eventually develop to such an extent that they would become (over countless ages) superior forms unrecognizable as having sprung from the older, inferior biological stock. The results of this long process would be nothing less than a series of phylogenetic revolutions (as opposed to that “descent with modifications” which Charles called the process with misleading understatement). By an aggregation of small incremental differences, he proposed, like his grandfather, that this process has resulted in thoroughgoing transformation, starting from microscopic beginnings in the form of unicellular common ancestors, like bacteria, via numberless further stages up to ape-like intermediaries, thence towards the evolution of Homo sapiens. He clearly shared with his free-thinking grandfather the belief that was that this was a more probable route along which the animal world might have developed than the doctrine that all species had been created fully formed by a divine power. 


Haughton, on the other hand, would have none of this. He felt that Darwin had fallen for the post hoc ergo propter hoc fallacy: that is, as Haughton phrased it, the delusion that mere succession necessarily implies causation.17


Edward Blyth’s Recantation

It is conspicuous that the one “pretender” who came nearest to the more ambitious claim advanced by Darwin was Edward Blyth, who wrote in the following terms about artificial selection:


When two animals are matched together, each remarkable for a certain peculiarity, no matter how trivial, there is also a decided tendency in nature for that tendency to increase; and if the produce of these animals be set apart, and only those in which the same peculiarity is apparent, be selected to breed from, the next generation will possess it in a still more remarkable degree; and so on, till at length the variety I designate a breed is formed, which may be very unlike the original type… May not, then, a large proportion of what are considered species have descended from a common parentage?18


Yet Blyth subsequently retreated from the bold conjecture he advances in the last sentence, realizing that in those circumstances living species would blend into each other in a continual process of hybridization which had never been recorded and was not observable in nature. Had not the 18th century French naturalist Cuvier stated that all animal life could not be fitted into a unilineal ascending system? Diverse animals constituted a bush rather than a ladder since they belonged to distinct groups: vertebrates, molluscs, articulates, radiata, etc. Hence there were many stairways to life rather than one. The molluscan body plan could never “transition” into the vertebrate one because the differences between the two types were insuperable. Thus concluded the French naturalist in what became known as Cuvier’s Law of Correlation. 


Today, biologists use slightly different terminology in pointing to the species barrier and the insuperable difficulties of co-adaptation if animals were to advance beyond their basic physiological contours. However, the thought may in its essentials be traced back to Cuvier. For instance, to establish a convincing evolution of ape to human it would be necessary to establish that simians could over time have increased their communicative vocabularies so as to transform inarticulate emotional cries into specific vocal symbols. But this in turn brings up the closely related problem of how to explain the rapid mental processing on which articulate speech depends. Without the simultaneous co-adaptation of the simian brain how could the facility of speech, which depends on the interdependent agency of the brain in tandem withthe specialized organs of vocal articulation, have developed by the unplanned processes of natural selection?


Difficulties with the Darwinian Theory

Blyth corrected himself when in dawned on him that what he was musing on was a physiological impossibility. Swiftly retreating from his own conjecture, he realized that, in the circumstances he had envisaged in his mind’s eye, living species would routinely evidence patterns of morphological development which were simply not recorded in nature. He corrected his initial conjecture in line with observable circumstances by the kind of reality check which Charles Darwin chose to override. It is not as if Darwin did not know of the difficulty his theory posed. He must have known as well as Blyth in his heart of hearts that the kind of transmutation he was postulating did not exist in nature. In the following admirably candid words Darwin even tacks on the correlated problem of the lack of fossil evidence as a further hindrance to the acceptance of his theory: 


Why, if species have descended from other species by fine gradations, do we not everywhere see innumerable transitional forms? Why is not all nature in confusion instead of the species being, as we see them, well defined?19


“Why indeed,” one might ask. Haughton commented sardonically on this point, “Mr. Darwin admits that the facts of Geology are opposed to his theory, and they are pleasantly alluded to as the Geological Difficulty!”20 Turning a blind eye to such obstacles, Darwin appears to have been driven by family piety in the direction of a form of materialist confirmation bias and what was fundamentally a social/ familial construction of reality.


A New Revelation

There is no folly that human fancy can devise, when truth has ceased to be of primary importance, and right reason and sound logic have been discarded, that has not been produced, and preached as a new revelation.21


SAMUEL HAUGHTON

Whether Charles Darwin’s theory of the whole biosphere having essentially developed by “natural selection” was more antecedently probable than the doctrine of divine creation remained a contentious point, much debated by scientific and lay peers. Haughton at any rate, in company with other members of the wider Victorian public22, failed to see how such a grand and exquisitely crafted symphonic whole as the terrestrial biosphere had, allegedly, been able to magic itself into existence without any empirically identifiable agency to direct it. Then as before, most were prompted by the application of humble logic to seek the solution to life’s deepest enigmas not in natural selection but in natural theology.


The grandeur and sublime subtleties of our terrestrial environment have for millennia been viewed as in and of themselves empirical markers for design. The idea of intelligent design is as much a common-sense, empirical deduction as a formal philosophical theory or religious tenet. It seems intuitively right to many without benefit of any formal elaboration of the philosophical or metaphysical kind. Hence Darwin’s theory that life on Earth could have evolved mindlessly, due to the unpredictable ministrations of Mother Nature, has never ceased to appear improbable, even impossible, to the generality of people. In short, the notion that life’s diversity could have developed by some preternaturally benign concatenation of flukes does not commend itself as an intuitive probability to unbiased observers with no stake in finding a wholly materialistic explanation for all things. 


Could Nature, without any intelligence itself, have been capable of developing creatures with immense reserves of intelligence, or is this, as opponents have persistently objected, just a freethinking donnish fantasy harbored by those who simply will there to be a materialist Grand Theory of Everything? The jury is very much still out on that one, and Samuel Haughton’s doubts have not been allayed. For as he wrote in the peroration of his review, “No progress in natural science is possible as long as men will take their crude guesses at truth for facts, and substitute the fancies of their imagination for the sober rules of reasoning.” 


Notes

For a comprehensive reprint together with editor’s commentary on reviews from the 1860s, see Hull’s Darwin and His Critics: The Reception of Darwin’s Theory of Evolution by the Scientific Community (Chicago: Chicago UP, 1973).

Letter to Joseph Hooker, April 30, 1860.

The Autobiography of Charles Darwin, edited by Nora Barlow, (New York: Norton, 1958), p. 122.

“This speculation of Mess. Darwin and Wallace would not be worthy of note were it not for the weight of authority of the names under whose auspices it has been brought forward [Lyell and Hooker]. If it means what it says, it is a truism; if it means anything more, it is contrary to fact.”

http://darwin-online.org.uk/converted/pdf/1860_Review_Origin_Biogenesis_Haughton_A1128.pdf

Rebecca Stott, Darwin’s Ghosts: In Search of the First Evolutionists (London: Bloomsbury, 2012), p. 40.

“The Moderns have resolved, by their speculations on the past, to show that in ingenuity and oddness of conceit and, probably, also in wideness from the truth, they are in no respect inferior to the Ancients.” (Review, p. 5)

William Irvine, Apes, Angels and Victorians: A Joint Biography of Darwin and Huxley (London: Weidenfeld and Nicholson, 1955), p. 105.

Loren Eiseley, Darwin and the Mysterious Mr X (London: Dent, 1979), p. 6.

Cited by Gillian Beer, Darwin’s Plots: Evolutionary Narrative in Darwin, George Eliot and Nineteenth-Century Fiction (London; Routledge and Kegan Paul, 1983), p. 22.

These included the Oxford Professor of Geometry, Baden Powell, the French naturalist Charles Naudin, Robert Grant (Darwin’s Edinburgh tutor), Dr. William Wells (his claim going back to 1813), Patrick Matthew, a well-to-do Scottish farmer and fruit grower, in 1831, and Edward Blyth, a young zoologist (1835). A comprehensive account of Darwin’s predecessors is given by Rebecca Stott in the aforementioned Darwin’s Ghosts.

W. J. Dempster, Evolutionary Concepts in the Nineteenth Century: Natural Selection and Patrick Matthew (Edinburgh: Pentland Press, 1996), p. 245.

Thomas Malthus, An Essay on the Principle of Human Population, edited by Anthony Flew (London: Penguin, 1970).

Cited by Anthony Flew, Essay on the Principle of Population, Introduction, pp. 49-50.

See on this point Adrian Desmond, The Politics of Evolution (Chicago: Chicago Up, 1989), pp. 2-3.

Stott, Darwin’s Ghosts, p. 17.

Review, p. 10.

Cited by Loren Eisley, Darwin and the Mysterious Mr X, pp. 55-6, 58.

Origin of Species, edited by Gillian Beer (Oxford: OUP, 2008), p. 129.

Haughton, Review, p. 6.

Review, p. 7

See Alvar Ellegard, Darwin and the General Reader: The Reception of Darwin’s Theory of Evolution in the British Periodical Press, 1859-72 (Gothenburg: Elanders, 1958).

Tuesday 7 June 2022

Bacteria: The real world savers?

 “Bacteria Are Incredible” — Here Are More Illustrations

David Coppedge

In his latest “Secrets of the Cell” video, biochemist Michael Behe tells about wonderful bacteria that eat organic waste, remove smells from mud by conducting electricity, recycle plastic, aid our digestion, and more. “Folks, you can’t make this stuff up!” he exclaims. “Bacteria are incredible.”

That is true, and I provided some illustrations yesterday. Here are more. 


Think of man’s worst environmental disasters. The Deepwater Horizon oil spill and the Chernobyl nuclear accident probably take priority on the list. The American Chemical Society posted a video showing how bacteria are good at cleaning up oil spills, radioactive waste and toxic chemicals — not that this fact gives humans license to damage the planet, but it’s interesting. The narrator, who demonstrates a controlled experiment with oil-eating bacteria in her kitchen, was surprised that the microbes that flock to oil spills need no genetic engineering. They get to work on their own and seem to enjoy it. “How cool is it that genetic tinkering is not always needed?” she comments. Much of our plastic debris, however, accumulates in the oceans where it collects in huge revolving garbage patches on the surface called gyres. How many people faithfully recycle plastic bottles only to find in news reports that China no longer accepts the West’s barges of compressed plastic, and so it ends up in the ocean anyway? It’s depressing. Some have remarked that recycling might do more damage than throwing it in the regular trash. For those trying to be environmentally conscious, that’s really depressing.


Environmental engineers fret as plastic waste accumulates and circulates in those gyres. But a few decades ago, scientists began to discover that these garbage patches are not lifeless deserts. They are teeming with a class of organisms collectively known as “neuston.” New Scientist reports:


Neuston are organisms that float on the ocean surface. They encompass a wide range of species, including blue sea dragons (Glaucus atlanticus), violet snails (Janthina janthina), blue button jellyfish (Porpita porpita) and by-the-wind sailors (Velella velella).


Rebecca Helm at the University of North Carolina at Asheville and colleagues found that there are more neuston in the center of the North Pacific Garbage Patch than at the edges. This is probably true worldwide, as similar garbage patches are found in the South Pacific, South Atlantic, and Indian oceans. At least some life forms are making a living on our trash! Some of the organisms are quite beautiful.


So now, Helm is worried that cleanup efforts could endanger these thriving communities of organisms. Another worry is that fish and whales could imbibe plastic by feeding on the neuston. There is a race against time to give the plastic-degrading bacteria time to work while the higher organisms enjoy their merry-go-round ride on artificial boats. There’s a research project: to what extent does the neuston ecosystem contribute to the breakdown of floating plastic?


If environmental engineers can find ways to accelerate bacteria’s good work, it may prove to be a much more cost-effective way to recycle plastic than packing it on barges. Maybe biodegradation could be started earlier in the process. Either way, it appears that the food chain, with microbes at the base, has the power to degrade all that plastic eventually if a true circular economy comes to fruition and the accumulation in the gyres ceases.


A Food Chain of Recyclers

Alice Klein’s article in New Scientist doesn’t mention the food chain, but earlier reports have found that microbes contribute to the breakdown of ocean garbage and even larger artificial junk. We know that organisms recycle our shipwrecks in the deep sea. If you want to visit the Titanic by submarine, you had better hurry; it could vanish by 2037. The EE Times explained why:


The iconic ocean liner is, in fact, disintegrating where it lies; as well as animals and plants, its inhabitants include bacteria, which are eating their home at a staggering rate. One type of bacteria transforms dissolved iron into insoluble iron oxide to create rusticles — like icicles, but made of rust. Other types of the dozen or so microbes present effectively eat the rusticles.


And so the evidence of man’s grandiose projects — elegant ballrooms under chandeliers on a doomed “unsinkable” ship — vanishes into memory, as the ocean reclaims its own. But there’s a happy side to some of our shipwrecks. Multitudes of fish and other sea creatures have taken up residence in and around battleships from the South Pacific, even those sunk by nuclear bomb tests. Considering this discovery, some ships have been submerged on purpose to provide havens for fish and scuba divers. Microbes and viruses are sure to be key players in those thriving ecosystems.


Don’t Dismiss Bacteria

Instead of dismissing bacteria as primitive remnants of early evolution, design-thinking scientists can help our planet’s tiny ecosystem engineers solve some of the most pressing problems facing us today. By looking at microbes as the intelligently designed systems they are — having shown their benefits in many ways — ID advocates can partner with them. Like the first ranchers, they can bridle and saddle up these tiny workhorses that come equipped to tackle planet-sized loads.

<iframe width="770" height="433" src="https://www.youtube.com/embed/n2761go6OYg" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

What unbelievers need to believe.

 Three Realities Chance Can’t Explain That Intelligent Design Can.

Granville Sewell


The scientific establishment is slowly beginning to allow scientists who believe in intelligent design to have a platform. Why? It may be because the theory that the universe was crafted intentionally explains many realities that theories based on chance do not.


Perhaps the simplest and best argument for intelligent design is to clearly state what you have to believe to not believe in intelligent design, as I did in my book, In the Beginning and Other Essays on Intelligent Design. Peter Urone, in his physics text College Physics, writes, “One of the most remarkable simplifications in physics is that only four distinct forces account for all known phenomena.”


This is what you have to believe to not believe in intelligent design: that the origin and evolution of life, and the evolution of human consciousness and intelligence, are due entirely to a few unintelligent forces of physics. Thus you must believe that a few unintelligent forces of physics alone could have rearranged the fundamental particles of physics into computers and science texts and jet airplanes and nuclear power plants and Apple iPhones.    


These four unintelligent forces of physics may indeed explain everything that has happened on other planets, but let us look at three essential elements of our human existence and examine whether the currently believed origin theory can explain them.


1. The Origin of Life

To appreciate that we still have no idea how the first living things arose, you only have to realize that with all our advanced technology we are still not close to designing any type of self-replicating machine; that is still pure science fiction. We can only create machines that create other machines, but no machine that can make a copy of itself. 


When we add technology to such a machine, to bring it closer to the goal of reproduction, we only move the goalposts because now we have a more complicated machine to reproduce. So how could we imagine that such a machine could have arisen by pure chance?


Maybe human engineers will someday construct a self-replicating machine. But if they do, I’m sure it will not happen until long after I am gone, and it will not show that life could have arisen through natural processes. It will only have shown that it could have arisen through design. 


2. The Origin of Advanced Life Forms

Furthermore, imagine that we did somehow manage to design, say, a fleet of cars with fully automated car-building factories inside, able to produce new cars — and not just normal new cars, but new cars with fully automated car-building factories inside them. Who could seriously believe that if we left these cars alone for a long time, the accumulation of duplication errors made as they reproduced themselves would result in anything other than devolution, and eventually could even be organized by selective forces into more advanced automobile models?  


No, we could confidently predict that the whole process would grind to a halt after a few generations without intelligent humans around to fix the mechanical problems that would inevitably arise, long before we saw duplication errors that held any promise of advances. 


The idea that it could even be remotely plausible that random mutations could produce major improvements relies completely on the observed but inexplicable fact that, while they are awaiting rare favorable mutations, living species are able to preserve their complex structures and pass them on to their descendants without significant degradation. We are so used to seeing this happen that we don’t appreciate how astonishing it really is.  


But perhaps trying to imagine designing self-replicating cars, and trying to imagine that these cars could make progress through the accumulation of duplication errors, may help us realize that we really have no idea how living things are able to pass their current complex structures on to their descendants, generation after generation — much less how they evolve even more complex structures.


Lehigh University biochemist Michael Behe, in his 2019 book Darwin Devolves, writes:


Darwinian evolution proceeds mainly by damaging or breaking genes, which, counterintuitively, sometimes helps survival. In other words, the mechanism is powerfully de-volutionary. It promotes the rapid loss of genetic information. Laboratory experiments, field research, and theoretical studies all forcefully indicate that, as a result, random mutation and natural selection make evolution self-limiting. … Darwin’s mechanism works chiefly by squandering genetic information for short-term gain.


So, according to Behe, duplication errors, even when organized by selective forces, have the same effect on living species as we would expect them to have on self-replicating cars: only devolution and degradation.


Also, here we have not even discussed what is generally considered to be the main problem with Darwinism: its inability to explain the appearance of major new, irreducibly complex features that consistently appear suddenly in the fossil record. (I discussed this problem in my article “A Mathematician’s View of Evolution,” and in the second part of my video “Why Evolution is Different.”)


3. The Origin of Human Intelligence and Consciousness

Trying to imagine that the accumulation of duplication errors made by our fleet of self-replicating cars could eventually result in conscious, intelligent machines might help us to realize that the evolution of intelligent beings, capable of designing computers, science texts, jet airplanes, and Apple iPhones, is an especially monumental and unsolved problem. 


In my video “A Summary of the Evidence for Intelligent Design,” I began my fifth point with a picture of three children in the 1950s. One of them is me, the other two are not. I saw the world from inside one of these children. I saw every picture that entered through his eyes, I heard every sound that entered through his ears, and when he fell on the sidewalk, I felt his pain. How did I end up inside one of these children? 


This is a question that rarely seems to trouble evolutionists. They talk about human evolution as if they were outside observers and never seem to wonder how they got inside one of the animals they are studying. They consider that human brains are just complicated computers, and so to explain how we got here they just have to explain how these mechanical brains evolved. 


But even if they could explain how animals with mechanical brains evolved out of the primeval slime, that would leave the most important question — the one evolutionists never seem to even wonder about — still unsolved: How did I get inside one of these animals?


The argument for intelligent design could not be simpler or clearer: Unintelligent forces alone cannot rearrange atoms into computers and airplanes and nuclear power plants and smartphones, and any attempt to explain how they can must fail somewhere because they obviously can’t. Perhaps this is the best way to understand why explanations without design will never work, and why science may finally be starting to recognize this.


Cross-posted from The Federalist with permission of the author.

Monday 6 June 2022

Could one man(not God-man) really save humanity from sin.

 1Corinthians15:21ASV"For since by man came death, by man came also the resurrection of the dead. "

The first human sinner did not inherit his sinful state he chose it. Unlike his descendants he had a choice in the matter.

1Timothy2:14KJV"And Adam was not deceived, but the woman being deceived was in the transgression."

Now what if humanity's founding father had made the moral choice. Would it not be the case that he would be our savior? So then that is all that is required to save mankind. A father who choses aright.

Can this tree be replanted? III

 More Turbulence at the Base of the Tree of Life

Evolution News @DiscoveryCSC

Here is a new open-access paper, published in Frontiers in Microbiology, that is instructive: “Eukaryogenesis: The Rise of an Emergent Superorganism.” Author Philip J. L. Bell begins:


Although it is widely taught that all modern life descended via modification from a last universal common ancestor (LUCA), this dominant paradigm is yet to provide a generally accepted explanation for the chasm in design between prokaryotic and eukaryotic cells. Counter to this dominant paradigm, the viral eukaryogenesis (VE) hypothesis proposes that the eukaryotes originated as an emergent superorganism and thus did not evolve from LUCA via descent with incremental modification. [Emphasis added.]


The “chasm in design”? For a theory (i.e., the universal Tree of Life, rooted in LUCA — universal common descent, or UCD) whose empirical strength is so great that it cannot be doubted, UCD certainly is doubted a lot.


Doubted by biologists, in fact, with no known interest in intelligent design.

On the anternet.

 Yes, Ants Think — Like Computers

Denyse O'Leary


Navigation expert Eric Cassell, whose recent book is Animal Algorithms: Evolution and the Mysterious Origin of Ingenious Instincts, offers some insights into how ants organize themselves by using what amount to algorithms, without any central command:


Ants are remarkably consistent in their lifestyle. All of the roughly 11,000 species of ants live in groups, large or small. There are no known solitary ants. 


Living in groups, they have developed a social lifestyle that includes “agriculture, territorial wars, slavery, division of labor, castes, consensus-building, cities, and a symbolic language.” (p. 85) How is this managed by ants with very small brains (200,000 to 250,000 neurons) and very limited individuality?


For comparison, among mammals, the agouti has roughly 857 million neurons, the capybara has 1.60 billion, and the capuchin monkey, 3.690 billion. Humans have roughly 85 billion neurons. It seems that the ant is doing something that does not rely on individual problem-solving skills.


Cassell points out that the ants’ complex colony organization where one queen or several queens lay all the eggs and the other females do all the work is almost exclusively the domain of life forms with very small brains. The naked mole rat is the only mammal that follows this pattern. Incidentally, the naked mole rat has fewer neurons in a smaller brain than expected for its body size, relative to other rodents.


Such colonies are sometimes called “superorganisms” because the individual organisms work for the survival of the colony as a whole. Take these leafcutter ants in Brazil:

<iframe width="770" height="433" src="https://www.youtube.com/embed/dECE7285GxU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

What Are Some of the Ant Colony’s Methods?

We don’t know exactly how the ant “algorithm” works out divisions of labor but one study found that young ants typically tend to the eggs, larvae, and pupae while older ants forage outside the nest. Foraging is a much more dangerous activity than tending the young, so if the older ants forage, fewer days of ant life are lost to the colony (pp. 89–90). Some ant species have castes of workers with specially shaped heads, best suited to specific purposes like attacking other ants or blocking a tunnel (pp. 95–96). In that case, they might naturally gravitate to the task without having to think about it. They just find it easier than the differently structured ants would.


Ants communicate mainly by pheromones, scents that provide information. In their book The Superorganism: The Beauty, Elegance, and Strangeness of Insect Societies (2008), Bert Hölldobler and E. O. Wilson (1929–2021) identified 12 areas of communication mediated by pheromones, including “alarm, attraction, recruitment, grooming, feeding, exchange of fluids and solid particles, group effect, recognition of nestmates, caste determination, control of other individuals competing for reproduction, territoriality, and sexual communication” (p. 90).


What makes pheromones a complex communication system is that most emissions are of several pheromones mingled rather than only one. Some signals are recognized by all ants in the vicinity, others only by the ant’s own species, and others are specific to the ant’s colony. 


One evolutionary biologist describes the processing of pheromones as equivalent to AND gates and STOP in a computer system. (p. 91). The ant is not so much deciding what to do as responding to an AI-like signal.


Computer programmers have adapted ant algorithms to the computer:

<iframe width="770" height="433" src="https://www.youtube.com/embed/vG-QZOTc5_Q" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Welcome to the Anternet!

Stanford’s Deborah M. Gordon, a specialist in ant behavior, thinks of the complex algorithms ants use to communicate without personal understanding as the “anternet”:


Ant colonies use dynamic networks of brief interactions to adjust to changing conditions. No individual ant knows what’s going on. Each ant just keeps track of its recent experience meeting other ants, either in one-on-one encounters when ants touch antennae, or when an ant encounters a chemical deposited by another.


DEBORAH GORDON, “WHAT DO ANTS KNOW THAT WE DON’T?” AT WIRED

Read the rest at Mind Matters News, published by Discovery Institute’s Bradley Center for Natural and Artificial Intelligence.

Pseudoscience vs. actual science.

 Listen: Mendel vs. Darwin

Evolution News @DiscoveryCSC

On a classic episode of ID the Future, geneticist Wolf-Ekkehard Lönnig, former research scientist at the Max Planck Institute for Plant Breeding Research, talks with host Casey Luskin about Gregor Mendel’s laws of inheritance, how they clashed with the thinking of Charles Darwin, and how acceptance of Darwinism hindered acceptance of Mendel’s great insights. Listen in as Dr. Lönnig explains Mendel’s laws and why they’re still relevant for biology, and particularly genetics. Download the podcast or listen to it here.

Can this forest be replanted?

 Study: “Most of Our Evolutionary Trees Could Be Wrong”

Günter Bechly

From Phys.org:


Study suggests that most of our evolutionary trees could be wrong


New research led by scientists at the Milner Centre for Evolution at the University of Bath suggests that determining evolutionary trees of organisms by comparing anatomy rather than gene sequences is misleading. The study, published in Communications Biology, shows that we often need to overturn centuries of scholarly work that classified living things according to how they look.


In other words: often anatomical similarities are not based on common descent and different lines of evidence (anatomy versus genetics) conflict and thus do not converge on one true tree of life! This refutes one of the favorite talking points of popularizers of Darwinism like Richard Dawkins.

Darwinists continue to invoke I.D to refute I.D.

 Rosenhouse’s Blunder: Another Nonsensical Mathematical Argument Against Intelligent Design

Michael Egnor

Darwinist mathematician Jason Rosenhouse is back. He has a recently published book from Cambridge University Press, The Failures of Mathematical Anti-Evolutionism, and an article in Skeptical Inquirer in which he claims to debunk mathematical arguments that point to intelligent design in biology. A core argument for ID is that living things contain molecules, cells, tissues, organs, and physiological processes displaying complex and specified information, which rules out the possibility that they “evolved” via unintelligent processes. The presence of a language code in DNA, the astonishing nanotechnology underlying every cellular process, the elegant integration of cellular activity into tissues and organs, and the orchestration of these countless highly specified processes into a living organism is so far beyond the capacity of dumb “chance and necessity” that it is fair to call Darwinian explanations ludicrous fairytales posing as science. Intelligence is undeniable — it permeates living things. 


Despite this massive evidence for design, Darwinists like Rosenhouse cling to their ideological myth — atheism’s creation myth — rather than acknowledge the irrefutable scientific evidence of design in nature and particularly the evidence for design that permeates all life. 


Self-Refuting Arguments

The Darwinist arguments against design are all self-refuting, because all arguments against design in biology depend on formal and teleological (i.e., designed) causes in life. Darwinists necessarily invoke highly specific physical laws (e.g., quantum mechanics) and undeniable purposes (e.g., a purpose of DNA is to encode protein structure), and the only known source of a specific law or purpose is a mind. In other words, Darwinist arguments against intelligent design always invoke design — there are no Darwinist arguments from mere chaos and there cannot be such arguments (because even chaos presupposes order against which chaos is defined). 


ID scientists point out that the specified complexity of protein structure necessary for life precludes spontaneous “evolution” without intelligent agency. Proteins may be hundreds of amino acids long, and the correct and precise placement of amino acids (not to mention the as-yet unexplained precision of protein-folding, the organization of innumerable proteins into complex enzymatic pathways, etc.) is inexplicable except as a consequence of a guiding Intelligence. 


No Intelligence Needed?

Rosenhouse denies that intelligence is needed to explain the remarkably precise and specific structure of proteins — he asserts that the Darwinian process of mindless random heritable mutations and survival of survivors (i.e., “natural selection”) explains it all. He uses the analogy of a coin toss to defend the Darwinian explanation:


However, this [design] argument is premised on the notion that genes and proteins evolve through a process analogous to tossing a coin multiple times. This is untrue because there is nothing analogous to natural selection when you are tossing coins. Natural selection is a non-random process, and this fundamentally affects the probability of evolving a particular gene.


To see why, suppose we toss 100 coins in the hopes of obtaining 100 heads. One approach is to throw all 100 coins at once, repeatedly, until all 100 happen to land heads at the same time. Of course, this is exceedingly unlikely to occur. An alternative approach is to flip all 100 coins, leave the ones that landed heads as they are, and then toss again only those that landed tails. We continue in this manner until all 100 coins show heads, which, under this procedure, will happen before too long. The creationist argument assumes that evolution must proceed in a manner comparable to the first approach, when really it has far more in common with the second.


Everything in Rosenhouse’s coin-toss analogy to natural selection manifests intelligent design. The coin is intelligently designed, the person who tosses the coin is intelligent, and the choice by the coin-tosser to re-toss only the coins that land on tails is intelligent selection.  


For Rosenhouse’s analogy to point to unintelligent causes — to Darwinian natural selection — he would have to invoke the analogy that we leave a block of silver on a table by itself and wait for it to (by erosion and wind) sculpt itself into 100 coins, each of which would then spontaneously fall off the table, and the coins that landed tails up would then spontaneously (perhaps by earthquakes!) jump back up onto the table and spontaneously fall again, with this mindless but amazingly specific cycle repeating itself until all 100 coins lay heads-up on the floor (and the floor would first have to assemble itself!). This is a fine model of Darwinian natural selection — i.e., a preposterous fairytale.  


A Deeper Design in Nature

And of course, Rosenhouse misses the even deeper design in nature that forms the framework for the coin-toss analogy. The physical constants and forces that make silver and coins and gravity and space and time all point to intelligent agency (cf. Aquinas’ Fifth Way). Even Darwinian jumping coins need the law of gravitation and laws of electromagnetism and quantum mechanics and innumerable finely tuned physical constants to self-construct and spontaneously jump off the table and self-sort. Design is everywhere in nature.


Darwinian “chance” and “natural selection” exist in an ocean of design — from space-time to physical laws and fine-tuned constants to complex specified biochemical and physiological processes to intelligent observers who flip coins and make hypotheses about evolution. Rosenhouse’s risible analogy of coin-tossing is akin to Berra’s Blunder — a similarly self-refuting analogy proposed by Darwinist biologist Tim Berra, who explained that mindless Darwinian evolution is like designs in automobiles that change with time (notwithstanding that cars are intelligently designed). 


Even Darwinist arguments for natural selection in biology depend on intelligent design. All scientific evidence in cosmology, physics, and biology points to a Mind as the source and the continuing basis of the natural world.  


H/t Jerry Coyne.

Saturday 28 May 2022

Hail the Lord JEHOVAH: The liberator!

Psalms146 American Standard Version.


1Praise ye Jehovah. Praise Jehovah, O my soul.


2While I live will I praise Jehovah: I will sing praises unto my God while I have any being.


3Put not your trust in princes, Nor in the son of man, in whom there is no help.


4His breath goeth forth, he returneth to his earth; In that very day his thoughts perish.


5Happy is he that hath the God of Jacob for his help, Whose hope is in Jehovah his God:


6Who made heaven and earth, The sea, and all that in them is; Who keepeth truth for ever;


7Who executeth justice for the oppressed; Who giveth food to the hungry. Jehovah looseth the prisoners;


8Jehovah openeth the eyes of the blind; Jehovah raiseth up them that are bowed down; Jehovah loveth the righteous;


9Jehovah preserveth the sojourners; He upholdeth the fatherless and widow; But the way of the wicked he turneth upside down.


10Jehovah will reign for ever, Thy God, O Zion, unto all generations. Praise ye Jehovah.

The recipe for reality?

 <iframe width="1000" height="500" src="https://www.youtube.com/embed/bzV4O85n2y8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Can this tree be replanted? II

 

Troubles with the Tree of Life

Mike Keas
Paul Nelson

Claims to know that an evolutionary Tree of Life (TOL) existed are increasingly problematic. The TOL is a picturesque way of imagining a branching pattern of universal common descent (UCD) — the alleged evolution of all current life by descent with modification from earlier life forms on earth, with all organisms tracing back to the Last Universal Common Ancestor (abbreviated as LUCA). We will update you on TOL troubles by analyzing a new paper authored by a group of biologists associated with the largest university in Latin America: the National Autonomous University of Mexico. 

Amadeo Estrada and his colleagues show how the huge literature devoted to constructing the TOL by means of large data sets of molecular sequencing (including many complete genomes of many organisms) is fraught with debilitating problems. Following up on earlier stern warnings from top TOL critics such as W. Ford Doolittle, Estrada et al. survey a wide field of molecular-based phylogenetic chaos — a bunch of mutually inconsistent accounts of the alleged branching pattern of evolution. They observe: “The strictly statistical approach [to molecular-based phylogenetic studies] … has resulted in divergent and even contradictory evolutionary hypotheses unsupported by independent evidence, between different research groups, and at times in single research groups.”1 Put more plainly, such studies have produced a large number of deeply inconsistent pictures of UCD, which undermines confidence about UCD itself. 

How Deep? How Severe?

Just how deep are these inconsistencies in the popular story of UCD? Molecular studies have produced radically different answers to what lies near the base of the TOL — that is, these studies have created confusion about LUCA. To grasp the severity of the situation, consider the wildly divergent range of recent opinion about LUCA; in the words of Estrada et al.(their key points numbered by us, with minor edits to English):

The LUCA has been characterized as

  1. close to the origin of life (Koonin 2003; Weiss et al. 2016a), or as being far away from the origin of life (Mirkin et al. 2003; Delaye et al. 2005)
  2. having a small genome (Koonin 2003), or as having a genome similar in size to many free living bacteria today (Kyrpides et al. 1999; Harris et al. 2003; Mirkin et al. 2003; Delaye et al. 2005; Yang et al. 2005; Ouzounis et al. 2006; Ranea et al. 2006; Becerra et al. 2014)
  3. being autotrophic (Martin et al. 2008; Weiss et al. 2016a), or as being heterotrophic (Delaye et al. 2005; Becerra et al 2014, Muñoz-Velasco et al. 2018)
  4. being hyperthermophilic (Woese 1987; Weiss et al. 2016a); or as being mesophilic (Galtier et al. 1999; Groussin et al. 2013; Cantine and Fournier 2018)
  5. constituted by an RNA genome (Mushegian and Koonin 1996; Koonin 2003), or as having a DNA genome (Ouzounis et al. 2006; Delaye et al. 2005; Becerra et al. 2014)
  6. being a simple cell (Koonin 2003), or as having a complex cell, similar to today’s bacteria (Kyrpides et al. 1999; Harris et al. 2003; Mirkin et al. 2003; Delaye et al. 2005; Yang et al. 2005; Ouzounis et al. 2006; Ranea et al. 2006; Becerra et al. 2014).2

Obviously, the evolution of the TOL could not have occurred in all of these mutually inconsistent ways (contradictory inferred stages of evolution near the base of the TOL). These evolutionary inferences are all over the biological map.Nonetheless, Estrada et al. do not extend their skepticism to the entire TOL-UCD paradigm. However, they do note:

New findings and changes in what we think about certain subjects are common in science. Nevertheless, we think that these extreme divergences between and even inside some researchers’ characterizations of the LCA are linked to the fact of relying on statistical approaches only without other kinds of data outside the sequence comparisons methods. In doing so, researchers can become subjects of contradictory algorithm results.3

As they hint here, Estrada et al. (building on Doolittle and others) propose their own way out of this mess, but admit that even their revised approach has its own additional troubles — though these are lesser troubles in their estimation (more on that below).

Scaling Back Claims

This research group recommends making estimations of LUCA that are less detail-rich, by scaling back claims of what we can legitimately know from molecular studies. They also urge fellow evolutionists to take into account more data beyond the confines of comparative molecular sequencing. Let’s explore the first prong of their dual revisionist research program first. 

On the one hand, they acknowledge that without molecular (especially genetic) sequence data, “there is no possibility of phylogenetic [TOL] reconstruction.” On the other hand, they point out the “serious epistemic disadvantages” of these studies “for the reconstruction of early forms of life, despite being rewarded in scientific practice.”4 Put bluntly, many scientists have advanced their careers by churning out shiploads of TOL claims. The relative ease these days of molecular sequencing and computer-aided statistical analysis make this bioinformatics research program hard to resist. When, however, this results in “contradictory hypotheses even within the same team and in consecutive publications, with no recognition of their divergent conclusions,”5 the internal coherence and logical consistency of the TOL / LUCA model inevitably suffer.

As Estrada et al. observe, over the past two decades Doolittle and others have attributed some of the molecular phylogenetic confusion to lateral (horizontal) gene transfer (LGT). By multiplying the possible modes of genetic transmission beyond so-called “vertical” inheritance, LGT greatly complicates tracing organismal lineages through subsequent generations. But most evolutionists do not think that LGT severely downgrades the historical signals that they use to determine the shape of the TOL. But, Estrada et al. note, “the problem is that there are major difficulties to measure LGT, not the least because the statistical criteria and bioinformatic tools used to estimate it share the same methodological constraints that plague phylogenetic reconstructions (Cortez et al. 2009).”6

A Candid Confession

That is a refreshingly candid confession. LGT is often cited as part of the reason why we get very differently shaped candidate TOLs (and different candidate LUCAs). But we should not doubt the overall TOL-UCD story in the face of such conflicting TOL reconstructions, we are told, because LGT is partly to blame for this situation.

This does not solve, however, the severe LUCA retrodictive inconsistencies that the authors bemoan in the large block quote above, listing six major evolutionary contradictions. Why? Because LGT estimates themselves depend upon, and are epistemically limited by, the “same methodological constraints that plague phylogenetic [TOL] reconstructions.”

We now turn to the second prong of this Mexican research group’s revisionist recommendations: the call to take into account more data beyond the confines of comparative molecular sequencing. “Any hypothesis of the LCA must be confronted with current empirical knowledge from the Earth sciences, as well as what scientists know about biochemistry and metabolic pathways….” This sounds wise, but then they immediately admit the severe limitations of this recommendation due to the “scarcity of biochemical and geochemical knowledge surrounding the early stages of life,” which “poses a severe epistemic constraint” on LCA theories.7

In an attempt to remedy this situation, they advocate scaling back LUCA retrodictions to what they call “a slimmer LCA.” This means that phylogenetic reconstructions should be “aiming at a lower resolution” — claiming we know a lot less — so that our claims are less likely to be contradictory or to be falsified by stubborn data. A skeptical philosopher of science could have said this about many branches of evolutionary biology. 

Kuhn’s Diagnosis

Sixty years ago, the historian and philosopher of science Thomas Kuhn listed what he described as the “symptoms” of a research field undergoing destabilizing change. Kuhn’s diagnosis stands as acutely relevant today as when he first offered it — especially the first symptom, which we have set in bold:

The proliferation of competing articulations, the willingness to try anything, the expression of explicit discontent, the recourse to philosophy and to debate over fundamentals, all these are symptoms of a transition from normal to extraordinary research.8

There is only one true history of life. (If you doubt this, ask yourself if you have, somewhere, an unknown set of biological parents with an equally valid claim to being your actual physical ancestors, when compared with the familiar names on your birth certificate.) Estrada et al. identify the competing historical articulations, only one of which can be the case, now current in evolutionary theory. A mature science converges on a single answer. A science in trouble? Not so much.

Notes

  1. Amadeo  Estrada, Edna Suarez-Diaz, and Arturo Becerra, “Reconstructing the Last Common Ancestor: Epistemological and Empirical Challenges.” Acta Biotheoretica 70, no. 2 (2022): 1-18, p. 3.
  2. Ibid., 3.
  3. Ibid., 3.
  4. Ibid., 4.
  5. Ibid., 9.
  6. Ibid., 6.
  7. Ibid., 10.
  8. T. S. Kuhn, The Structure of Scientific Revolutions (Chicago: University of Chicago Press, 2nd ed., 1970), p. 91.