MATRIXVOTERv1.0-PROD

Probabilistic MRP & A2A Synthetic Electorate Engine

DEM276 EV52.4%
GOP262 EV47.6%

Zero-Trust Gateway Stream (Kalshi / Polymarket)

Zero-Allocation Filter [politics/elections]
kalshi Sanitized
PRES-2024-NAT
Harris51.8%
Bid: 51¢Ask: 52¢$3420k vol
polymarket Sanitized
PRES-2024-PA
Democrat50.9%
Bid: 50¢Ask: 51¢$1850k vol
kalshi Sanitized
PRES-2024-MI
Democrat52.6%
Bid: 52¢Ask: 53¢$1200k vol
polymarket Sanitized
PRES-2024-WI
Democrat51.2%
Bid: 50¢Ask: 52¢$980k vol

270 Electoral College Battleground Engine

Real-time state tipping-point probabilities and simulated state winners

276 Dem|270 to Win|262 GOP
276 EV
270
262 EV
PA19 EV
DEM +0.9%
Mkt Implied:52%
MI15 EV
DEM +2.6%
Mkt Implied:53%
WI10 EV
DEM +1.2%
Mkt Implied:52%
GA16 EV
GOP +0.8%
Mkt Implied:49%
AZ11 EV
GOP +1.1%
Mkt Implied:48%
NV6 EV
DEM +1.4%
Mkt Implied:52%
NC16 EV
GOP +1.5%
Mkt Implied:48%

Policy Sandbox & Shock Sliders

Suburban Turnout Delta0%
-30%0% (Baseline)+30%
Economic Shock Factor0.00
-1.0 (Recession)0.0+1.0 (Boom)
Youth (18-29) Turnout Swing0%
-30%0%+30%
Inflation & Cost of Living Pressure0%
DeflationNeutralHigh CPI
Rural Voter Surge0%
-30%0%+30%

Dual-Axis Probabilistic Forecast: Polling Prior vs Market Posterior

Compares static baseline demographic priors against dynamic live prediction market updates (Kalshi/Polymarket)

Prior (Dem %) Market-Adjusted Posterior

A2A Synthetic Electorate Network

Simulates peer-to-peer opinion cascades & belief re-evaluations across small-world ties

PAMIAZWIPAGANCNV

Agent Deliberation & Thought Stream

LLM & Cognitive Model Active
PA
voter-pa-001[LLM_INFERENCE]
54% → 56%

Observed Democratic margin strengthening in Pennsylvania suburban polling (+1.8%); consolidated preference around healthcare security.

Turnout Intent: 84%Bayesian Micro-Adjustment
MI
voter-mi-002[COGNITIVE_HEURISTIC]
88% → 89%

Labor union updates in Detroit indicate high mobilization; turnout intention reinforced.

Turnout Intent: 76%Bayesian Micro-Adjustment
AZ
voter-az-003[COGNITIVE_HEURISTIC]
49% → 48%

Expressed concern regarding interest rates and small-business credit costs in Maricopa County.

Turnout Intent: 67%Bayesian Micro-Adjustment

MRP Demographic Stratification Matrix

Vectorized Polars poststratification cells with Bayesian updated vote shares

Cell IDState / StrataAge / Edu / RacePop WeightTurnoutPrior DemBayesian Post95% HDI
cell-PA-001PASuburban18-29 · College+ · White4.2%68%61.2%62.8%(+1.6%)[58%, 67%]
cell-PA-002PARural45-64 · Non-College · White8.5%76%28.5%27.9%(-0.6%)[24%, 32%]
cell-MI-001MISuburban30-44 · College+ · White5.1%72%56.5%57.8%(+1.3%)[53%, 62%]
cell-MI-002MIUrban45-64 · Non-College · Black6.2%65%89.2%90.1%(+0.9%)[86%, 94%]
cell-WI-001WIUrban18-29 · College+ · White3.8%64%72.0%73.2%(+1.2%)[69%, 77%]
cell-GA-001GASuburban30-44 · College+ · Black5.8%78%86.5%87.1%(+0.6%)[83%, 91%]
cell-AZ-001AZSuburban30-44 · Non-College · Hispanic6.4%61%54.0%53.5%(-0.5%)[49%, 58%]