Demographic fit — examples
Charts compare target distributions (official baselines) with observed ones (calibrated synthetic cohorts).
How we build calibrated synthetic populations (digital twins) and how we validate their predictive power.
Pollitics models synthetic populations (“digital twins”) that respect socio-demographic and country-aware constraints. Respondents are generated then calibrated to reflect the true structure of the target population.
We validate along two axes: (1) fit to official distributions and (2) agreement with published human polls. The figures below illustrate both.
Charts compare target distributions (official baselines) with observed ones (calibrated synthetic cohorts).
Comparisons on public questions. Residual gaps inform our re-calibration schedule.
We generate a candidate population and enforce margin constraints (raking) and coherence (e.g., conditional distributions by region).
An adjustment loop aligns observed frequencies to official targets, penalizing multi-dimensional deviations.
We compare opinion scores to published human polls on reputable panels; we measure gaps and correct them.
We track drift and schedule periodic re-calibrations to reflect context and news dynamics.
Need technical detail or an audit? Get in touch. Talk with the R&D team