Abstract
A population of organisms carries IQ-encoded genomes. Higher-IQ individuals delay reproduction (modeling education/career delay) and incur a higher opportunity cost per child. No explicit fertility rules are programmed — the fertility gap emerges entirely from these two simple genome-expressed biases accumulating over time. After 20 seeds × 500 simulated years and 122,731 observed births, a statistically robust −17.4% fertility differential appears between high-IQ and low-IQ pairs.
1. Experimental Setup
Genome Structure
Each organism carries a genome with an IQ component — a continuous value encoding cognitive capacity. This influences two behavioral parameters:
| Parameter | Low IQ | High IQ | Effect on Fertility |
|---|---|---|---|
| Reproduction delay | Shorter (earlier start) | Longer (education proxy) | Fewer reproductive years |
| Opportunity cost / child | Lower | Higher | Fewer children per year |
| Child survival advantage | Baseline | Modest advantage | Partial compensation |
Simulation Parameters
- 20 independent seeds (each = independent population run)
- 500 simulated "years" per seed
- IQ range: 70–160 (genome-expressed continuous value)
- Pairing: random within population each year
- Analysis: top/bottom 20 pairs by mean IQ identified post-hoc
- No fertility quota, no population cap, no forced differential
2. Results
Quantitative Results
| Group | Mean IQ | Mean Children | Gap |
|---|---|---|---|
| Top-20 high-IQ pairs | 134.0 | 57 | — |
| Bottom-20 low-IQ pairs | 91.5 | 69 | +12 children (+21%) |
| Differential | ΔIQ = 42.5 | −17.4% | Consistent across 20 seeds |
Effect Robustness
The −17.4% differential is observed consistently across all 20 seeds. The effect is strongest at extremes (IQ gap > 40 points) and diminishes in the middle range (IQ 100–115). This mirrors the theoretical prediction that small per-year biases compound significantly over 500 years.
3. Key Findings
- −17.4% fertility gap emerges from two simple behavioral rules — no explicit differential is programmed.
- Effect strongest at extremes: gap approaches 16–18% when comparing IQ >130 vs IQ <95.
- Timing compounds over time: a 2–3 year delay in reproduction start, accumulated over 500 years, generates a significant differential.
- 122,731 total births across 20 seeds provide high statistical power.
- No reverse causation: IQ is fixed at genome initialization; fertility is purely a consequence.
4. What This Demonstrates
Emergent Social Patterns from Minimal Rules
This scenario demonstrates that observed social phenomena can arise from minimal behavioral biases without any top-down programming. The IQ-fertility correlation found here mirrors patterns documented in demographic research — but it emerges purely from two genome-encoded parameters: reproduction delay and opportunity cost.
The key insight is accumulation: a modest per-year effect (2–3% fewer births) compounds over 500 years into a robust −17.4% differential. inZORi can model social dynamics where complex outcomes emerge from simple individual rules — fertility, resource competition, tradition formation, economic inequality — all without explicit social engineering.
5. Reproducibility
Framework: inZORi v1.0 | Domain: Social dynamics / demographic simulation
Run: 20 seeds × 500 years | Total births: 122,731
Note: Genome encoding and selection mechanics are proprietary. Behavioral parameters (delay coefficients, opportunity cost functions) are not disclosed. Results and high-level methodology are fully documented.