ElectorateIQ is a message-testing and polling instrument, and we validate it as one. In a 25-question battery across 12 audiences — scored against live public polls from Gallup, Pew, YouGov, Marist, AP-NORC and others — it named the leading position on 91% of questions and pointed the right direction on 87%. It's strongest on who voters are and what they prioritize, and honest about where it compresses. Here's the evidence, and the limits.
We assembled a panel for each of 12 audiences — national registered voters; Texas, Florida, Michigan and Pennsylvania; Chicago, New York and San Francisco; young voters, suburban women, rural voters and independents — and put the same 25 questions to them that public pollsters had recently fielded. Every answer was scored against the published benchmark.
On questions it passes, mean error is ~3.5 pts; across all numeric items it runs 8–10 pts. Read it as a directional instrument, not a substitute for a final poll.
The clearest results are where demographics and place drive opinion — subgroup differences and local-market priorities. A sample of passing questions, ElectorateIQ vs. the published benchmark:
| Question & audience | ElectorateIQ | Published poll |
|---|---|---|
| Student-loan forgiveness — young voters | 64% | 55–65% |
| Reproductive rights "important" — suburban women | 55% | 55–65% |
| Congestion-pricing support — New York City | 45% | 45–50% |
| "Balanced" drug approach — San Francisco | 43% | 40–50% |
| Border-security spending — Texas | 55% | 55–65% |
| Top municipal issue is crime — Chicago | #1 (26%) | #1 |
| 2026 generic congressional ballot — national | D+5 | D+6 |
Against a live Navigator Research immigration study — five message framings across eight audiences — ElectorateIQ's ranking of which framings drew more support correlated with the published toplines at a Spearman of 0.69, agreeing on the direction of lift in 65% of head-to-head pairs.
| Audience | Rank correlation vs. live study |
|---|---|
| Independents | 0.90 |
| AAPI | 0.80 |
| National · Republicans · White | 0.70 |
| Black · Hispanic/Latino | 0.60 |
| Overall (8 audiences) | 0.69 |
It discriminates best when messages genuinely differ; near-identical framings are harder to separate. This is one live study — more voter message-testing validation is underway.
Topline accuracy isn't enough. We hold the engine to controls designed to catch the ways naive AI polling quietly fails.
Every deployment back-tests against a real quantity — a precinct result, a statewide topline, a registration mix, a published issue poll — before the read is trusted.
We check that support splits sensibly by party, place, and demographics — and that a message's ranking shifts with who is listening, not just its overall level.
A placebo test checks the panel doesn't drift on off-topic text, and a rank-stability test checks competing messages rank consistently on repeat runs. These bound how much movement to believe.
Directional, not distributional. Average error runs ~8–10 points across the battery. ElectorateIQ is built to tell you which way an audience leans and which message lands better — not to replace a final poll where a 3–5 point margin decides the call.
It compresses on high-identity issues. On questions where partisan identity drives a strong skew — immigration enforcement, rural energy identity — the model pulls toward the center and can understate the gap, and in a few cases invert it. We name these rather than bury them.
Best where opinion is genuinely distributed. Subgroup differences, local-market priorities, and messages that meaningfully differ are the sweet spot; hair-splitting near-ties and intra-coalition heterodoxy are harder.
Aggregate only. A twin represents someone like a voter, never a specific, identifiable individual. Validity holds at the aggregate level, which is where we always measure it.
Message-testing evidence is still expanding. One live message study validates well today; more voter message-testing wargames are underway. Ask us for the latest.
We'll benchmark against a result you can check, then hand you the keys.