Environmental state variables (e.g., resource distribution, predation risk) can create persistent selective pressures that distort outcome frequencies from expected binomial ratios.

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Binomial ratios(as used in statistics and probability theory): Expected mathematical patterns you'd predict from a coin flip or simple probability—basically the 'normal' outcome frequencies you'd calculate if everything was random.
Environmental state variables(as used in evolutionary biology and philosophy of science): The specific conditions in nature that can change, like how much food is available or how many predators are around, which affect how organisms survive and reproduce.
Outcome frequencies(as used in evolutionary and statistical analysis): How often different results actually happen in real life—for example, how many organisms with a certain trait actually survive versus how many we'd mathematically predict should survive.
Selective pressures(as used in evolutionary biology and anthropology): Environmental or social conditions that make certain traits more likely to help an organism survive and reproduce, so those traits become more common over time.

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