Home▸AI & Machine Learning▸Election Poll Aggregator — Bayesian Averaging Live (2D)

🗳️ Election Poll Aggregator — Bayesian Averaging Live (2D)

2D joyplot companion: add simulated polls with real sample sizes and watch a Normal-Normal Bayesian conjugate update narrow the posterior vote-share estimate, stacked as a ridge of density curves with a live 95% credible-interval chart.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion runs the identical Normal-Normal Bayesian conjugate update as the 3D version — same precision-weighted math, same honest per-poll sampling variance from p̂(1−p̂)/n — but draws the posterior history as a flat joyplot (stacked density curves) instead of a rotating mesh, plus the same live posterior-mean / 95% credible-interval chart.

⚙ Under the hood

2D joyplot of a real Bayesian poll-aggregation model: each added poll updates a Normal-Normal posterior by precision weighting, visualised as a ridge of density curves narrowing over successive polls.

Bayesian inferencepoll aggregationprecision weightingcredible interval

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install