Even New Scientist thinks it is time for evolution theory to evolve?

For a moment, I thought I was reading, 'Kevin LaLaland'. Axel

"Direction on Evolution"? Kevin, Kevin, Kevin, it is only an APPEARANCE of guidance. Like the "appearance of design" and the appearance of evidence, it's only imaginary. I'm skeptical pffttt.... https://m.youtube.com/watch?v=xBEdztSLXVo ppolish

"It's time for our beliefs about X to evolve" = "I want my theory to supplant the currently-accepted one." EvilSnack

In particular, new findings undermine the idea, encapsulated by the “selfish gene” metaphor, that genes are in the driving seat. Instead, they suggest that organisms play active, constructive roles in their own development and that of their descendants, so that they impose direction on evolution.

Oh no, you cannot say stuff like "organisms organisms play active, constructive roles in their own development", that is entirely starting from the wrong level. A level that methodological naturalism (materialism) cannot accommodate. It's akin to saying that "instead of neurons being in the driving seat, it has been suggested that 'persons' play an active role in rationality and decision-making." This obviously won't do. We have to explain things from the physical level. Seriously, I'm warning you guys: don't go there, the creationists will never let you get away with it! Origenes

In fact, not only does Evolution not have any universal law to appeal to as other overarching theories of science have, Entropy, a law with great mathematical explanatory power in science, almost directly contradicts Darwinian claims that increases in functional complexity can be easily had (Graville Sewell, Andy McIntosh): And whereas Darwinian evolution has no known law of nature to appeal to so as to establish itself as a proper, testable, science, Intelligent Design does not suffer from such a disconnect from physical reality. In other words, Intelligent Design can appeal directly to ‘the laws of conservation of information’ in order to establish itself as a proper, testable, rigorous science.

Conservation of information, evolution, etc – Sept. 30, 2014 Excerpt: Kurt Gödel’s logical objection to Darwinian evolution: “The formation in geological time of the human body by the laws of physics (or any other laws of similar nature), starting from a random distribution of elementary particles and the field is as unlikely as the separation of the atmosphere into its components. The complexity of the living things has to be present within the material [from which they are derived] or in the laws [governing their formation].” Gödel – As quoted in H. Wang. “On `computabilism’ and physicalism: Some Problems.” in Nature’s Imagination, J. Cornwall, Ed, pp.161-189, Oxford University Press (1995). Gödel’s argument is that if evolution is unfolding from an initial state by mathematical laws of physics, it cannot generate any information not inherent from the start – and in his view, neither the primaeval environment nor the laws are information-rich enough.,,, More recently this led him (Dembski) to postulate a Law of Conservation of Information, or actually to consolidate the idea, first put forward by Nobel-prizewinner Peter Medawar in the 1980s. Medawar had shown, as others before him, that in mathematical and computational operations, no new information can be created, but new findings are always implicit in the original starting points – laws and axioms.,,, http://potiphar.jongarvey.co.uk/2014/09/30/conservation-of-information-evolution-etc/ Evolutionary Computing: The Invisible Hand of Intelligence – June 17, 2015 Excerpt: William Dembski and Robert Marks have shown that no evolutionary algorithm is superior to blind search — unless information is added from an intelligent cause, which means it is not, in the Darwinian sense, an evolutionary algorithm after all. This mathematically proven law, based on the accepted No Free Lunch Theorems, seems to be lost on the champions of evolutionary computing. Researchers keep confusing an evolutionary algorithm (a form of artificial selection) with “natural evolution.” ,,, Marks and Dembski account for the invisible hand required in evolutionary computing. The Lab’s website states, “The principal theme of the lab’s research is teasing apart the respective roles of internally generated and externally applied information in the performance of evolutionary systems.” So yes, systems can evolve, but when they appear to solve a problem (such as generating complex specified information or reaching a sufficiently narrow predefined target), intelligence can be shown to be active. Any internally generated information is conserved or degraded by the law of Conservation of Information.,,, What Marks and Dembski (mathematically) prove is as scientifically valid and relevant as Gödel’s Incompleteness Theorem in mathematics. You can’t prove a system of mathematics from within the system, and you can’t derive an information-rich pattern from within the pattern.,,, http://www.evolutionnews.org/2015/06/evolutionary_co_1096931.html Active Information in Metabiology – Winston Ewert, William A. Dembski, Robert J. Marks II – 2013 Except page 9: Chaitin states [3], “For many years I have thought that it is a mathematical scandal that we do not have proof that Darwinian evolution works.” In fact, mathematics has consistently demonstrated that undirected Darwinian evolution does not work.,, Consistent with the laws of conservation of information, natural selection can only work using the guidance of active information, which can be provided only by a designer. http://bio-complexity.org/ojs/index.php/main/article/view/BIO-C.2013.4/BIO-C.2013.4

And since Intelligent Design is mathematically based on the ‘law of conservation of information’, that makes Intelligent Design testable and potentially falsifiable, and thus makes Intelligent Design, unlike Darwinian story-telling, a rigorous science.

The Law of Physicodynamic Incompleteness – David L. Abel Excerpt: “If decision-node programming selections are made randomly or by law rather than with purposeful intent, no non-trivial (sophisticated) function will spontaneously arise.” If only one exception to this null hypothesis were published, the hypothesis would be falsified. Falsification would require an experiment devoid of behind-the-scenes steering. Any artificial selection hidden in the experimental design would disqualify the experimental falsification. After ten years of continual republication of the null hypothesis with appeals for falsification, no falsification has been provided. The time has come to extend this null hypothesis into a formal scientific prediction: “No non trivial algorithmic/computational utility will ever arise from chance and/or necessity alone.” https://www.academia.edu/Documents/in/The_Law_of_Physicodynamic_Incompleteness It’s (Much) Easier to Falsify Intelligent Design than Darwinian Evolution – Michael Behe, PhD https://www.youtube.com/watch?v=_T1v_VLueGk “The National Academy of Sciences has objected that intelligent design is not falsifiable, and I think that’s just the opposite of the truth. Intelligent design is very open to falsification. I claim, for example, that the bacterial flagellum could not be produced by natural selection; it needed to be deliberately intelligently designed. Well, all a scientist has to do to prove me wrong is to take a bacterium without a flagellum, or knock out the genes for the flagellum in a bacterium, go into his lab and grow that bug for a long time and see if it produces anything resembling a flagellum. If that happened, intelligent design, as I understand it, would be knocked out of the water. I certainly don’t expect it to happen, but it’s easily falsified by a series of such experiments. Now let’s turn that around and ask, How do we falsify the contention that natural selection produced the bacterial flagellum? If that same scientist went into the lab and knocked out the bacterial flagellum genes, grew the bacterium for a long time, and nothing much happened, well, he’d say maybe we didn’t start with the right bacterium, maybe we didn’t wait long enough, maybe we need a bigger population, and it would be very much more difficult to falsify the Darwinian hypothesis. I think the very opposite is true. I think intelligent design is easily testable, easily falsifiable, although it has not been falsified, and Darwinism is very resistant to being falsified. They can always claim something was not right.” – Dr Michael Behe The Origin of Information: How to Solve It – Perry Marshall Where did the information in DNA come from? This is one of the most important and valuable questions in the history of science. Cosmic Fingerprints has issued a challenge to the scientific community: “Show an example of Information that doesn’t come from a mind. All you need is one.” “Information” is defined as digital communication between an encoder and a decoder, using agreed upon symbols. To date, no one has shown an example of a naturally occurring encoding / decoding system, i.e. one that has demonstrably come into existence without a designer. A private equity investment group is offering a technology prize for this discovery (up to 3 million dollars). We will financially reward and publicize the first person who can solve this;,,, To solve this problem is far more than an object of abstract religious or philosophical discussion. It would demonstrate a mechanism for producing coding systems, thus opening up new channels of scientific discovery. Such a find would have sweeping implications for Artificial Intelligence research. http://cosmicfingerprints.com/solve/

Moreover, the only thing that we really have solid evidence of evolution for is for the theory of evolution itself. Without a rigid falsification criteria based in math, Darwinian evolution is a forever able to morph itself into whatever theoretical posture it needs to in order to avoid falsification from the data.

"Being an evolutionist means there is no bad news. If new species appear abruptly in the fossil record, that just means evolution operates in spurts. If species then persist for eons with little modification, that just means evolution takes long breaks. If clever mechanisms are discovered in biology, that just means evolution is smarter than we imagined. If strikingly similar designs are found in distant species, that just means evolution repeats itself. If significant differences are found in allied species, that just means evolution sometimes introduces new designs rapidly. If no likely mechanism can be found for the large-scale change evolution requires, that just means evolution is mysterious. If adaptation responds to environmental signals, that just means evolution has more foresight than was thought. If major predictions of evolution are found to be false, that just means evolution is more complex than we thought." ~ Cornelius Hunter

Verse:

1 Thessalonians 5:21 but test everything; hold fast what is good.

Of related note to the math of population genetics as it is applied to Darwinian claims:

The waiting time problem in a model hominin population – 2015 Sep 17 John Sanford, Wesley Brewer, Franzine Smith, and John Baumgardner Excerpt: The program Mendel’s Accountant realistically simulates the mutation/selection process,,, Given optimal settings, what is the longest nucleotide string that can arise within a reasonable waiting time within a hominin population of 10,000? Arguably, the waiting time for the fixation of a “string-of-one” is by itself problematic (Table 2). Waiting a minimum of 1.5 million years (realistically, much longer), for a single point mutation is not timely adaptation in the face of any type of pressing evolutionary challenge. This is especially problematic when we consider that it is estimated that it only took six million years for the chimp and human genomes to diverge by over 5 % [1]. This represents at least 75 million nucleotide changes in the human lineage, many of which must encode new information. While fixing one point mutation is problematic, our simulations show that the fixation of two co-dependent mutations is extremely problematic – requiring at least 84 million years (Table 2). This is ten-fold longer than the estimated time required for ape-to-man evolution. In this light, we suggest that a string of two specific mutations is a reasonable upper limit, in terms of the longest string length that is likely to evolve within a hominin population (at least in a way that is either timely or meaningful). Certainly the creation and fixation of a string of three (requiring at least 380 million years) would be extremely untimely (and trivial in effect), in terms of the evolution of modern man. It is widely thought that a larger population size can eliminate the waiting time problem. If that were true, then the waiting time problem would only be meaningful within small populations. While our simulations show that larger populations do help reduce waiting time, we see that the benefit of larger population size produces rapidly diminishing returns (Table 4 and Fig. 4). When we increase the hominin population from 10,000 to 1 million (our current upper limit for these types of experiments), the waiting time for creating a string of five is only reduced from two billion to 482 million years. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4573302/ The Evolutionary Argument Against Reality – April 2016 The cognitive scientist Donald Hoffman uses evolutionary game theory to show that our perceptions of an independent reality must be illusions. Excerpt: “The classic argument is that those of our ancestors who saw more accurately had a competitive advantage over those who saw less accurately and thus were more likely to pass on their genes that coded for those more accurate perceptions, so after thousands of generations we can be quite confident that we’re the offspring of those who saw accurately, and so we see accurately. That sounds very plausible. But I think it is utterly false. It misunderstands the fundamental fact about evolution, which is that it’s about fitness functions — mathematical functions that describe how well a given strategy achieves the goals of survival and reproduction. The mathematical physicist Chetan Prakash proved a theorem that I devised that says: According to evolution by natural selection, an organism that sees reality as it is will never be more fit than an organism of equal complexity that sees none of reality but is just tuned to fitness. Never.” https://www.quantamagazine.org/20160421-the-evolutionary-argument-against-reality/

bornagain77

as to this claim from the article: "Yet all scientific theories must incorporate new ideas and findings, and evolution is no exception." Actually, General Relativity, QED, and Quantum Mechanics have performed flawlessly since inception and have needed no refinements.

"Quantum mechanics is doing just fine, thank you, having performed flawlessly since inception." http://henry.pha.jhu.edu/aspect.html “On the other hand, I disagree that Darwin’s theory is as `solid as any explanation in science.; Disagree? I regard the claim as preposterous. Quantum electrodynamics is accurate to thirteen or so decimal places; so, too, general relativity. A leaf trembling in the wrong way would suffice to shatter either theory. What can Darwinian theory offer in comparison?” - Berlinski, D., “A Scientific Scandal?: David Berlinski & Critics,” Commentary, July 8, 2003

Scientific theories are suppose to make accurate predictions of what we will find in the future by way of experimentation. When a scientific theory fails to match its predictions in experiments it is then replaced by a better theory. Such as Newton's theory of Gravity was replaced by Einstein's General Relativity.

The Scientific Method - Richard Feynman - video Quote: 'If it disagrees with experiment, it’s wrong. In that simple statement is the key to science. It doesn’t make any difference how beautiful your guess is, it doesn’t matter how smart you are who made the guess, or what his name is… If it disagrees with experiment, it’s wrong. That’s all there is to it.” https://www.youtube.com/watch?v=OL6-x0modwY

Darwinian Evolution simply is not a testable theory as scientific theories are suppose to be testable.

“In science’s pecking order, evolutionary biology lurks somewhere near the bottom, far closer to phrenology than to physics. For evolutionary biology is a historical science, laden with history’s inevitable imponderables. We evolutionary biologists cannot generate a Cretaceous Park to observe exactly what killed the dinosaurs; and, unlike “harder” scientists, we usually cannot resolve issues with a simple experiment, such as adding tube A to tube B and noting the color of the mixture.” - Jerry A. Coyne – Of Vice and Men, The New Republic April 3, 2000 p.27 - professor of Darwinian evolution at the University of Chicago

In fact, story telling replaces testability "as the criterion for acceptance' within Darwinian evolution

Sociobiology: The Art of Story Telling – Stephen Jay Gould – 1978 – New Scientist Excerpt: Rudyard Kipling asked how the leopard got its spots, the rhino its wrinkled skin. He called his answers “Just So stories”. When evolutionists study individual adaptations, when they try to explain form and behaviour by reconstructing history and assessing current utility, they also tell just so stories – and the agent is natural selection. Virtuosity in invention replaces testability as the criterion for acceptance. https://books.google.com/books?id=tRj7EyRFVqYC&pg=PA530

The reason why Evolution is not a testable scientific theory, but is instead more properly classified as a pseudo-science, is that it has no rigid mathematical basis to test against:

Deeper into the Royal Society Evolution Paradigm Shift Meeting - 02/08/2016 Suzan Mazur: Peter Saunders in his interview comments to me said that neo-Darwinism is not a theory, it's a paradigm and the reason it's not a theory is that it's not falsifiable. http://www.huffingtonpost.com/suzan-mazur/john-dupre-interview-deep_b_9184812.html Peter Saunders is Co-Director, Institute of Science in Society, London; Emeritus professor of Applied Mathematics, King’s College London. Peter Saunders has been applying mathematics in biology for over 40 years, in microbiology and physiology as well as in development and evolution. He has been a critic of neo-Darwinism for almost as long. http://www.thethirdwayofevolution.com/people/view/peter-saunders "For many years I thought that it is a mathematical scandal that we do not have a proof that Darwinian evolution works." Gregory Chaitin - Proving Darwin 2012 - Highly Respected Mathematician Evolution is Missing a Mathematical Formula Excerpt: Virtually all scientists acknowledge that mathematics is the real language of science. Every theory uses words to describe and postulate the theory, but the true test of a theory is numbers and mathematics. It is numbers and mathematical formulae that distinguish true science from hocus-pocus.,,, Every scientific theory that has been promoted to the status of being a scientific law has been quantified and/or embodied into one or more mathematical formulae that make accurate predictions. But no scientist has been able to derive any working formula from the Theory of Evolution and no one has been able to quantify its dictums. Millions of scientists have tried to quantify the Theory of Evolution and they have all failed to do so. http://darwinconspiracy.com/article_1_rev2.php

The primary reason why no scientist has been able to ‘quantify its dictums’ is because there are no known laws of nature for Darwinists to appeal to in order to base their math on. In other words, there is no known ‘law of evolution’, such as there is a ‘law of gravity’, within the known physical universe:

The Evolution of Ernst: Interview with Ernst Mayr – 2004 Excerpt: biology (Darwinian Evolution) differs from the physical sciences in that in the physical sciences, all theories, I don’t know exceptions so I think it’s probably a safe statement, all theories are based somehow or other on natural laws. In biology, as several other people have shown, and I totally agree with them, there are no natural laws in biology corresponding to the natural laws of the physical sciences. http://www.scientificamerican.com/article/the-evolution-of-ernst-in/ WHAT SCIENTIFIC IDEA IS READY FOR RETIREMENT? Evolution is True – Roger Highfield – January 2014 Excerpt:,,, Whatever the case, those universal truths—’laws’—that physicists and chemists all rely upon appear relatively absent from biology. Little seems to have changed from a decade ago when the late and great John Maynard Smith wrote a chapter on evolutionary game theory for a book on the most powerful equations of science: his contribution did not include a single equation. http://www.edge.org/response-detail/25468 “It is our contention that if ‘random’ is given a serious and crucial interpretation from a probabilistic point of view, the randomness postulate is highly implausible and that an adequate scientific theory of evolution must await the discovery and elucidation of new natural laws—physical, physico-chemical, and biological.” Murray Eden, “Inadequacies of Neo-Darwinian Evolution as a Scientific Theory,” Mathematical Challenges to the Neo-Darwinian Interpretation of Evolution, editors Paul S. Moorhead and Martin M. Kaplan, June 1967, p. 109.

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