Explain adaptation through inherited variation
Model frequency change across generations without claiming individuals adapt by need.
Learning outcome: Model frequency change across generations without claiming individuals adapt by need.
Starting recap
Natural selection changes inherited variant frequencies when reproductive contributions differ.
All lessons are open directly. Your saved experiments remain when you leave and return.
Try
At p=0.5 and relative contribution 1.5 versus 1, next p is 0.6.
Open the experimentPredict
Will a beneficial variant become universal in a single generation?
Experiment
Compare p=0.5 with contribution ratios 1,1.5,2. Then compare different initial frequencies at the same ratio. Distinguish this deterministic expectation from a small real population.
Track heritable variation over one generation
Worked teaching model · synthetic values · One-generation haploid selection model: inherited variants A and a, wA selected, wa=1. No mutation, migration, drift or frequency-dependent selection. A frequency changes via differential contribution, not individual need.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Mean relative reproductive contribution | 1.25 | ratio |
| Next-generation A frequency | 0.6 | fraction |
| Frequency change | 0.1 | fraction |
| Next-generation alternative frequency | 0.4 | fraction |
Inherited variants change frequency through different reproductive contributions.
No individual changes its inherited variant because it needs to adapt. This deterministic model omits random drift, gene flow and mutation; a stable environment and relative fitness assignment are assumptions.
Predict before changing a control. Save two contrasting captures and explain what is held fixed. Displayed digits are calculation precision, not experimental uncertainty.
Inherited variants change frequency through different reproductive contributions.
No individual changes its inherited variant because it needs to adapt. This deterministic model omits random drift, gene flow and mutation; a stable environment and relative fitness assignment are assumptions.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
Use two contrasting captures, reconstruct the evidence, and state one changed-case prediction and one limitation. Model frequency change across generations without claiming individuals adapt by need.
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
Skipping retains experiments and awards no mastery.
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