#10 Story of 2022: Twelve “Shocking” Discoveries for Evolution

AlphaFold, alternative genetic codes, biology, Brian Miller, convergent evolution, devolution, discoveries, DNA, Douglas Axe, ENCODE, encoding, Endogenous retroviruses, epigenetics, Evolution, Evolution News, frameshifting, genes, genetics, genomes, Intelligent Design, Junk DNA, Michael Behe, mutations, neutral evolution, Paul Nelson, predictions, protein folding, protein rarity, RNAs, Scott Minnich, supercoiling, topoisomerase
Some discoveries might be surprising from an evolutionary perspective, but not necessarily from a perspective of intelligent design. Source
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Twelve “Shocking” Discoveries for Evolution

AlphaFold, alternative genetic codes, biology, Brian Miller, convergent evolution, devolution, discoveries, DNA, Douglas Axe, ENCODE, encoding, Endogenous retroviruses, epigenetics, Evolution, Evolution News, frameshifting, genes, genetics, genomes, Intelligent Design, Junk DNA, Michael Behe, mutations, neutral evolution, Paul Nelson, predictions, protein folding, protein rarity, RNAs, Scott Minnich, supercoiling, topoisomerase
Some discoveries might be surprising from an evolutionary perspective, but not necessarily from a perspective of intelligent design. Source
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Rare Fossil Preserves a Moment of Deadly Battle — And Recalls a Problem for Darwin 

abrupt appearance, Archaeopteryx, artist’s depiction, Aspidorhynchus, Bavaria, body plans, Darwinian theory, Evolution, fossil record, Germany, gradual development, Intelligent Design, Late Triassic, lithographic limestones, museums, nests, paleontology, predatory fish, predictions, pterosaurs, Rhamphorhynchus, sea floor, Solnhofen, track ways, transitional fossils
Pterosaurs appear abruptly in the fossil record of the Late Triassic, which agrees with the predictions of intelligent design theory. Source
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Some Possible Reasons for the Limited Success of Evolutionary Algorithms

Achilles heel, Alan Turing, algorithms, Artificial Neural Networks, artificial neurons, computer science, Darwinian algorithm, early Earth, environment, Evolution, evolutionary algorithms, evolutionary computation, fitness functions, predictions, programmers, Second Life, software, speech recognition, Test Driven Development
It is theoretically possible that out of thousands of scientists working on evolutionary computation, all failed to correctly implement the Darwinian algorithm. Source
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Paper Shows that “Mutational Load” Arguments Don’t Refute ENCODE

Atheism, Dan Graur, deleterious mutations, ENCODE, Evolution News, fitness, functional, genome, Genome Biology and Evolution, Intelligent Design, Junk DNA, molecular evolution, mutations, predictions, Science (journal), University of Houston
When the ENCODE project first proposed, on the basis of direct empirical research, that 80 percent of the genome may be biochemically functional, a huge prediction of intelligent design was fulfilled. Evolutionary biologists saw the writing on the wall and were quick to fight back. Perhaps one of ENCODE’s staunchest critics has been Dan Graur, a molecular evolutionary biologist at the University of Houston. He argued in 2017 in the journal Genome, Biology and Evolution that ENCODE’s empirically based conclusions could not possibly be correct because “Mutational load considerations lead to the conclusion that the functional fraction within the human genome cannot exceed 15%.” What exactly is “mutational load”? Mutational load is based upon the principal that populations of organisms can only tolerate a certain number of deleterious mutations before they reach a critical level…
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