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Haldane (cost of selection, 1927); Sewall Wright (shifting balance, 1931); Theodosius Dobzhansky (Genetics and the Origin of Species, 1937); Ernst Mayr (Systematics and the Origin of Species, 1942)\n•\tCore claim: Evolution is the change in allele frequencies in populations, driven by mutation, selection, drift, and gene flow\n•\tConvergence patterns: C09 (population genetics formalizes selection-variation-retention), C15 (optimization: Fisher’s fundamental theorem shows natural selection increases mean fitness), C10 (neutral theory shows molecular evolution has scale-invariant properties), C21 (speciation as emergence of reproductive isolation)\n•\tIndependence check: Mendel was a monk doing pea experiments. Fisher, Haldane, Wright were mathematicians/statisticians bringing formal rigor. 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Key gene: Hox genes discovered by Lewis, Nüsslein-Volhard, Wieschaus (Nobel 1995)\n•\tCore claim: Evolutionary change is largely driven by alterations in developmental gene regulatory networks, not just coding sequence changes\n•\tConvergence patterns: C09 (selection acts on developmental programs), C10 (Hox genes and other toolkit genes are deeply conserved — scale invariance across phyla), C21 (emergence: morphological diversity from combinatorial use of conserved toolkit), C08 (modularity and recursion: gene regulatory networks have recursive hierarchical structure)\n•\tIndependence check: Independent — emerged from developmental biology (embryology) and molecular genetics, converging with evolutionary theory. Different starting point from population genetics\n•\tClaim tier: T1 — Hox gene conservation and cis-regulatory evolution are well-established. Claims about developmental plasticity driving evolution (West-Eberhard) are more debated\n•\tKey tension: Evo-devo challenges the modern synthesis’ gene-centric view — regulatory evolution may be more important than coding changes. Also: how much does plasticity drive vs. respond to selection? 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Converged from different directions\n•\tClaim tier: T1 — Lotka-Volterra equations describe simple systems well; real ecosystems are more complex. Food web theory is established; claims about ecosystem self-regulation are more speculative\n•\tKey tension: Equilibrium ecology (Clements, Odum) vs. non-equilibrium ecology (Gleason, disturbance regimes). Are ecosystems organized superorganisms or random assemblages? 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Loschmidt’s paradox: how can time-asymmetric macro-behavior emerge from time-symmetric micro-dynamics? 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Independent starting points\n•\tClaim tier: T1 — the concept is qualitatively correct but “negentropy” is not a well-defined physical quantity. Free energy (Gibbs/Helmholtz) is the rigorous measure\n•\tKey tension: Schrödinger’s negentropy is thermodynamically imprecise — life consumes free energy, not entropy per se. Also: the concept conflates information entropy (Shannon) with thermodynamic entropy (Clausius)\n•\tCanonical text: Schrödinger, What is Life? 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The application to living systems came after the formal theory\n•\tClaim tier: T1 — Bénard cells, BZ reactions, and Turing patterns confirm the general principle. Application to living cells and organisms is more interpretive\n•\tKey tension: Dissipative structure theory claims dissipation is the source of order; this conflicts with equilibrium thermodynamics where dissipation destroys order. The resolution (far-from-equilibrium) is correct but the rhetoric sometimes overreaches\n•\tCanonical text: Nicolis & Prigogine, Self-Organization in Nonequilibrium Systems (1977), Ch. 7-9 on chemical instabilities and dissipative structures","status":"active","vx_hash":"cf2f3b8e66969537536c897764a20f29f3684d91e6f743dc50d95cc73d3ad7ee","semantic_hash":null,"version_hash":null,"version":1,"sources":[],"falsifiers":[],"tier":null,"backed":null,"transcludes":null,"chain_head":"4ef73d741c0c808f41606fdb4693aaef6e78db070bc9f5a56a0fb772ab6ea58e","chain_length":1,"chain":[{"n":1,"op":"genesis","ts":"2026-07-17T02:35:55.774Z","actor":"owner","text_sha":"b02b9b9a8d63eae3aff511f6720dbdfaca6b2a865c60e9c4acd8929867af740e","detail":{"divided_from":"body","block":53,"kind":"list"},"prev":"genesis","hash":"4ef73d741c0c808f41606fdb4693aaef6e78db070bc9f5a56a0fb772ab6ea58e"}],"claim_ids":[],"last_op":{"op":"genesis","actor":"owner","ts":"2026-07-17T02:35:55.774Z"},"consolidated_into":null,"stable_url":"https://miscsubjects.com/i/div/convergence-encyclopedia-part-2-schools-physical/d53"},{"id":"d54","kind":"p","type":null,"order":54,"text":"Maximum Entropy Production (MEP)","status":"active","vx_hash":"b93e380eb31e099fc9758358392687fe93774d7f01d6a1b0a789bf6468d4e009","semantic_hash":null,"version_hash":null,"version":1,"sources":[],"falsifiers":[],"tier":null,"backed":null,"transcludes":null,"chain_head":"1d526a0694613c628dfa4ad79cb94dfe8189ce50c715cd0fbf140b60e9fbc311","chain_length":1,"chain":[{"n":1,"op":"genesis","ts":"2026-07-17T02:35:55.774Z","actor":"owner","text_sha":"a10883cc09f824fb5b9e266534d61421d17fb9969e4b4d592ed5f876ad6e8ae6","detail":{"divided_from":"body","block":54,"kind":"p"},"prev":"genesis","hash":"1d526a0694613c628dfa4ad79cb94dfe8189ce50c715cd0fbf140b60e9fbc311"}],"claim_ids":[],"last_op":{"op":"genesis","actor":"owner","ts":"2026-07-17T02:35:55.774Z"},"consolidated_into":null,"stable_url":"https://miscsubjects.com/i/div/convergence-encyclopedia-part-2-schools-physical/d54"},{"id":"d55","kind":"list","type":null,"order":55,"text":"•\tFounder(s): Rod Dewar (“Maximum Entropy Production and the Fluctuation Theorem,” J. Phys. A, 2005); Leonid Martyushev & Vladimir Seleznev (“Maximum Entropy Production Principle in Physics, Chemistry and Biology,” Physics Reports, 2006); earlier: Paltridge (minimum entropy exchange, 1975) and Sawada\n•\tCore claim: Non-equilibrium systems evolve to states that maximize the rate of entropy production, subject to constraints\n•\tConvergence patterns: C01 (gradient dissipation — MEP selects the fastest dissipating path), C02 (least action — MEP is a variational principle for non-equilibrium systems), C15 (optimization: entropy production rate as the quantity being maximized)\n•\tIndependence check: Independent — Dewar used Jaynes’ maximum entropy inference; Martyushev came from non-equilibrium thermodynamics. Converged on similar principles\n•\tClaim tier: T2 — confirmed in some Earth systems (zonal climate structure, river networks) and crystal growth. General proof remains lacking. Critics argue MEP is a selection effect, not a physical law\n•\tKey tension: MEP vs. minimum entropy production (Prigogine’s linear regime result). These are contradictory: which regime applies when? The boundary between them is not well-defined\n•\tCanonical text: Dewar, “Maximum Entropy Production and the Fluctuation Theorem,” Journal of Physics A 38, L371 (2005)","status":"active","vx_hash":"5748d659ed2f6c68527934427c20fe72d2fc5d418260e8990c5b0dfbca410b7c","semantic_hash":null,"version_hash":null,"version":1,"sources":[],"falsifiers":[],"tier":null,"backed":null,"transcludes":null,"chain_head":"d9f3e8b3de50b9967a76080db164a8b6e6411448b4b1ad2ad03b5c1feff1627a","chain_length":1,"chain":[{"n":1,"op":"genesis","ts":"2026-07-17T02:35:55.774Z","actor":"owner","text_sha":"4f9aa062696066c125bf45e452f573073603130f28e39f3b80cb47ad2396a726","detail":{"divided_from":"body","block":55,"kind":"list"},"prev":"genesis","hash":"d9f3e8b3de50b9967a76080db164a8b6e6411448b4b1ad2ad03b5c1feff1627a"}],"claim_ids":[],"last_op":{"op":"genesis","actor":"owner","ts":"2026-07-17T02:35:55.774Z"},"consolidated_into":null,"stable_url":"https://miscsubjects.com/i/div/convergence-encyclopedia-part-2-schools-physical/d55"},{"id":"d56","kind":"p","type":null,"order":56,"text":"Constructal Law","status":"active","vx_hash":"38b1596ee8ccf66786a48594f60e199fb804c6f0e2daf580f85fa4771a1658f8","semantic_hash":null,"version_hash":null,"version":1,"sources":[],"falsifiers":[],"tier":null,"backed":null,"transcludes":null,"chain_head":"e162890c6819d830b32a668e70c06bfe5a7fc8782125b35d92d3180d498dfd13","chain_length":1,"chain":[{"n":1,"op":"genesis","ts":"2026-07-17T02:35:55.774Z","actor":"owner","text_sha":"ba42acc13877a94e7d60e2bfda71e69b990ba8ed8ca0b5b54838498105f013e2","detail":{"divided_from":"body","block":56,"kind":"p"},"prev":"genesis","hash":"e162890c6819d830b32a668e70c06bfe5a7fc8782125b35d92d3180d498dfd13"}],"claim_ids":[],"last_op":{"op":"genesis","actor":"owner","ts":"2026-07-17T02:35:55.774Z"},"consolidated_into":null,"stable_url":"https://miscsubjects.com/i/div/convergence-encyclopedia-part-2-schools-physical/d56"},{"id":"d57","kind":"list","type":null,"order":57,"text":"•\tFounder(s): Adrian Bejan (Shape and Structure, from Engineering to Nature, 1997; “Constructal Theory of Organization in Nature,” International Journal of Heat and Mass Transfer, 1997)\n•\tCore claim: For a finite-size flow system to persist in time, it must evolve to provide greater access to its currents; it generates a configuration that provides easier flow\n•\tConvergence patterns: C01 (gradient dissipation: the law describes how flow systems minimize resistance), C16 (branching/optimal transport: river deltas, lungs, city traffic all show tree-like structures), C10 (scale invariance: constructal patterns appear at all scales), C17 (spirals and tree-like structures as optimal flow configurations)\n•\tIndependence check: Independent — Bejan is a mechanical engineer who studied heat transfer and fluid mechanics. The generalization to all of nature came later\n•\tClaim tier: T2 — successfully predicts many observed flow configurations (river basins, bronchial trees, street networks). Critics argue it’s a restatement of optimization principles, not a new law of thermodynamics\n•\tKey tension: Constructal law claims to be a universal law of physics; critics say it’s an engineering optimization principle dressed in physical language. 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Chem. Phys., 2013; Every Life Is on Fire, 2020); building on Hatano & Sasa (steady-state thermodynamics, 2001) and Jarzynski (nonequilibrium fluctuation relations, 1997)\n•\tCore claim: Strongly driven systems will spontaneously tune to states that absorb and dissipate work efficiently; adaptation to the environment is a thermodynamic tendency\n•\tConvergence patterns: C01 (gradient dissipation: the driving force), C09 (selection: dissipation selects for stable configurations), C12 (autopoiesis: self-replicators are efficient dissipators), C25 (teleology: the appearance of purpose from thermodynamics)\n•\tIndependence check: Independent — England is a physicist who applied nonequilibrium statistical mechanics to molecular dynamics. The connection to life was a theoretical prediction, not biological fieldwork\n•\tClaim tier: T2 — simulation evidence exists (molecular dynamics of driven systems showing structure formation). Experimental confirmation of specific claims about self-replication is preliminary. The book (Every Life Is on Fire) makes stronger claims than the papers\n•\tKey tension: Critics (e.g., Goldenfeld, Woese) argue that dissipation-driven adaptation explains structure but not the specific information-rich structures of life. Also: the theory says nothing about the genetic code, metabolism, or heredity. 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