Vote Predict

Thin scenario wrapper for opinion/vote simulation. Unlike product-feedback which scores 1-10, vote-predict uses categorical choices and post-stratification so the distribution maps to population-level prediction.

Recipe

import sys, json
sys.path.insert(0, str(__import__('pathlib').Path.home() / '.claude/skills/persona-sim'))
from lib import sampler, ipf, aggregator
from lib.sim_engine import SYSTEM_PROMPT, _persona_card
from lib.llm_router import generate

# 1. Sample a large panel (census-matched after IPF)
panel = sampler.sample_personas(n=100, source="nemotron_usa", mode="stream")