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Category: evolution – Page 132

Looks like an interesting new book.

01:34 Group selection: what it is and why it’s controversial
16:58 David defends group selection against its strongest critics.
28:09 Does group selection have a socialist dark side?
38:21 Razib on how a scientist went in a “dark direction”
47:19 Using evolutionary science to solve real-world problems.
56:23 How understanding evolution can make you a better teacher.

Razib Khan (Unz Foundation, Gene Expression) and David Sloan Wilson (Binghamton University)

Continue reading “Science Saturday: Multi-Level Selection Theory | Razib Khan & David Sloan Wilson [Science Saturday]” | >

Scientists have discovered that grasses are able to short cut evolution by taking genes from their neighbours. The findings suggest wild grasses are naturally genetically modifying themselves to gain a competitive advantage.

Understanding how this is happening may also help scientists reduce the risk of genes escaping from GM crops and creating so called super-weeds—which can happen when genes from GM crops transfer into local wild plants, making them herbicide resistant.

Since Darwin, much of the theory of evolution has been based on common descent, where natural selection acts on the genes passed from parent to offspring. However, researchers from the Department of Animal and Plant Sciences at the University of Sheffield have found that grasses are breaking these rules. Lateral gene transfer allows organisms to bypass evolution and skip to the front of the queue by using genes that they acquire from distantly related species.

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Love: The Glue That Holds the Universe Together. “Love contrasts with fear, light with dark, black implies white, self implies other, suffering implies ecstasy, death implies life. We can devise and apprehend something only in terms of what it is not. This is the cosmic binary code: Ying/Yang, True/False, Infinite/Finite, Masculine/Feminine, On/Off, Yes/No… There are really only two opposing forces at play: love as universal integrating force and fear as universal disintegrating force… Like in Conway’s Game of Life information flows along the path of the least resistance influenced by the bigger motivator – either love factor of fear factor (or, rather, their sophisticated gradients like pleasure and pain) – Go or No go. Love and its contrasting opposite fear is what makes us feel alive… Love is recognized self-similarity in the other, a fractal algorithm of the least resistance. And love, as the finest intelligence, is obviously an extreme form of collaboration… collectively ascending to higher love, “becoming one planet of love.” Love is the glue that holds the Universe together…” –Excerpt from ‘The Syntellect Hypothesis: Five Paradigms of the Mind’s Evolution’ by Alex Vikoulov, available now on Amazon.

#SyntellectHypothesis #AlexVikoulov #Love

P.S. Extra For Digitalists: “In this quantum [computational] multiverse the essence of digital IS quantum entanglement. The totality of your digital reality is what your conscious mind implicitly or explicitly chooses to experience out of the infinite -\-\ a cocktail of love response and fear response.”

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Psychiatry as a field, meanwhile, quivers with theoretical uncertainty. It has not become a sub-speciality of neurology, as one might have expected if mental illness mapped directly to neural behaviour. And common genetic variations with large effects on mental disorders are elusive. The various incarnations of the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM) have enabled diagnostic consistency and the objectification of mental illnesses. But the DSM has resulted in overlapping diagnoses, and contrived symptom-cluster checklists. At times, it impinges on the territory of healthy mental function. Allen Frances, chair of the task force that wrote the manual’s fourth edition in 1994, revolted against out-of-control mental diagnosis in his 2013 book DSM: Saving Normal.

Adrian Woolfson weighs up a study on the role of evolution in conditions such as depression and anxiety.

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This study provides some of the first information regarding how robustly ancient life was metabolizing. Microbial sulfate metabolism is recorded in over 3 billion years of sulfur isotope ratios that are in line with this study’s predictions, which suggest was in fact thriving in the ancient oceans. This work opens up a new field of research, which ELSI Associate Professor Shawn McGlynn calls “evolutionary and isotopic enzymology.” Using this type of data, scientists can now proceed to other elements, such as carbon and nitrogen, and more completely link the geochemical record with cellular states and ecology via an understanding of enzyme evolution and Earth history.

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Project fear? Should we pay attention to American Jesuits?

But the fundamental ambition of transhumanism is more problematic. Its architects champion a use of technology to accelerate the evolution of humanity so radically that at the end of the process humanity as such would disappear. A superior posthuman being would emerge. According to Wikipedia, “Transhumanism is the intellectual and cultural movement that affirms the possibility and desirability of fundamentally improving the human condition through applied reason, especially by developing and making widely available knowledge to eliminate aging and to greatly enhance human intellectual, physical, and psychological capacities.” From its inception, the abolition of human death and aging has been one of the goals of transhumanism as it engineers a new being freed from the biological constraints of the current human condition.

From its inception, the abolition of human death and aging has been one of the goals of transhumanism.

Two of the movement’s philosophers, Max More and David Pearce, have developed eloquent apologies for the transhumanist creed. But they also indicate the movement’s more ominous philosophical themes.

Continue reading “Who’s afraid of transhumanism? (We all should be)” | >

Human health depends on age and evolutionary history. Firstly, adaptation is age-specific, with Hamilton’s forces of natural selection leading to much greater adaptation at earlier ages than later ages. This of course is how evolutionary biologists explain the existence of aging in the first place. Secondly, when environmental conditions change, it takes surprisingly few generations for populations to adapt to such new conditions, at least at early ages when natural selection is intense. Thirdly, at later ages, when the forces of natural selection are weak, natural selection will often fail to produce adaptation to a selective environment that is not evolutionarily ancient. All three of these themes will be illustrated using both explicit mathematical theory and findings from experimental evolution. At the end of the presentation, we will apply these general scientific insights to the case of human evolutionary history, human aging, and optimal human diets.

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