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s4h-evolution-variation-selection

Applies the variation-selection-retention triad to understand how populations and strategies adapt over time. Triggers: 'how does this evolve', 'what gets selected for', 'why do some strategies persist and others die out', 'population dynamics', 'selection pressure', 'what survives in this environment', 'who wins over time'.

skills/s4h-evolution-variation-selection/SKILL.md

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# Evolution: Variation-Selection

Darwin's central insight was not about progress — it was about fit. Populations change not because individuals strive toward an ideal but because variants that happen to be better suited to current conditions leave more descendants. The population shifts toward fitness not through intention but through differential survival and reproduction. Evolution is a filter, not a designer.

This tool applies the variation-selection-retention triad to any evolving system: biological populations, business strategy portfolios, cultural practices, product features, organisational structures, or ideas spreading through a community. Whenever there is a population of variants, a selection environment that differentially rewards some over others, and a mechanism by which successful variants are retained or replicated — evolution is happening. The analysis asks: what is varying, what is the selection pressure, what is being retained, and what does the population look like after several rounds?

Richard Dawkins extended Darwin's logic beyond genes to any replicating entity with heritable variation — memes, strategies, cultural norms. The triad is substrate-independent: wherever variation + selection + retention operate, populations evolve. The question is always which variants win *in this environment*, not which are best in the abstract.

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## Your Process

**Step 1: Define the Population and the Entity**
Identify what is being evolved. What are the entities in this population — the variants being compared? Be precise: not "companies" but "pricing strategies in use by companies in this market." Define the time horizon over which evolution is being observed: one product cycle, ten years, a generation.
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