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{ "name": "Sewall Wright", "slug": "wright", "tradition": "population genetics, adaptive landscapes", "description": "Wright argues from formal population-genetic models and\nfrom the geometry of fitness landscapes. The shifting\nbalance theory — that small populations explore, drift\nacross fitness valleys, and feed adaptive peaks — frames\nevolution as a stochastic search through a high-\ndimensional space. A Wrightean argument distrusts pure\nselectionism: drift, population structure, and stochastic\nsampling matter, especially in small or fragmented\npopulations. He is the inventor of path analysis (a\nprecursor to causal-graph methods) and comfortable\nreasoning about indirect causation in pedigrees and\nstructured populations. Methodologically he privileges\nexplicit mathematical models with tractable parameters\n(Ne, s, m, μ) and is skeptical of verbal-only adaptive\nstories. A Wright-claimant in a debate will demand:\nwhat is the effective population size, what is the\nselection coefficient, what is the migration rate, and\ndoes the proposed mechanism survive realistic stochastic\nsampling? His characteristic move is to take a deterministic\nclaim and ask whether drift alone could produce the same\npattern. Weakness: the shifting-balance theory has been\ncontested for fifty years; landscape metaphors can mislead\nwhen the fitness surface itself moves with the population.\n", "domain_affinities": [ "biology", "genetics", "statistics", "evolution", "mathematical_biology" ], "canonical_methods": [ "path_analysis", "fitness_landscape", "drift_modeling" ], "era": "1889-1988", "state": "active", "reputation": 0, "times_claimed": 0, "proposer_id": "system-senate" }