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Clarity Campaign Labs

Graded against the actual result across 27 races (from 31 polls, through 2025).

Races polled
27
Polls
31
Avg miss
5.49 pts
Most recent
2025

Head-to-head vs VotePredictor Elections

The fair, apples-to-apples test: on the 27 races Clarity Campaign Labs actually polled, how its final poll's margin compared to what VotePredictor Elections predicted for those same races.

ModelAvg miss (pts)Called right
Clarity Campaign Labs5.8452%
VotePredictor Elections3.8882%

VotePredictor Elections aggregates all the pollsters, so it's expected to beat any single one on margin — that's the value of averaging. The honest comparison among forecasters is on the combined board.

Every race (27)

Each race Clarity Campaign Labs polled, scored on its final poll — the call right before the vote — against the actual Dem−Rep result. Click a race for its full detail.

RaceTheir callResultMissCall
2025 VA GovernorD+10.0D+15.45.4
2024 US HouseD+3.0R+2.85.8
2024 US PresidentD+4.0R+1.55.5
2022 FL GovernorR+1.0R+19.418.4
2022 FL SenateEVENR+16.416.4
2022 WI SenateD+2.0R+1.03.0
2018 CA-4 HouseR+4.0R+8.34.3
2018 OH-12 HouseR+2.0R+4.22.2
2016 CA-10 HouseD+1.0R+3.44.4
2016 IL-10 HouseD+10.0D+5.24.8
2016 ME-2 HouseD+4.0R+9.613.6
2016 MN-3 HouseR+3.0R+13.710.7
2016 MN-8 HouseD+8.0D+0.67.4
2016 M2 PresidentEVENR+10.310.3
2016 MO PresidentR+16.0R+18.62.6
2016 NV PresidentEVEND+2.42.4
2016 PA PresidentD+4.0R+0.74.7
2016 WI PresidentD+4.0R+0.84.8
2016 MO SenateR+2.0R+2.80.8
2016 NV SenateD+3.0D+2.40.6
2016 PA SenateD+3.0R+1.44.4
2016 WI SenateD+3.0R+3.46.4
2014 MI GovernorEVENR+4.14.1
2014 OK GovernorR+2.0R+14.812.8
2014 MI SenateD+15.0D+13.31.7
2012 IN GovernorR+3.0R+2.90.1
2012 IN SenateD+7.0D+5.81.2

Accuracy by time to election

24686–9 wk3–6 wk1–3 wk≤1 wkavg miss (pts)
Clarity Campaign LabsAll pollsters (field average)

Lower is better. Time to election runs right (election week) to left (~2 months out).

By the numbers

Time to electionPollsAvg missvs fieldCalled right
1–3 wk123.69-1.3850%
3–6 wk145.56-0.1864%

vs field is this pollster's average miss minus all pollsters' at the same lead time — green beats the field, redtrails it. Our historical polls reach ~2 months out; earlier polling isn't in the record.

Track record by cycle — getting better?

YearPollsAvg missLean (house effect)
201464.7D+4.6
2016145.6D+5.2
2022410.0D+10.0

Do we credit a pollster for fixing its bias? Each cycle, the model re-estimates every pollster's lean from all its earlier polls (walk-forward) and subtracts it before using the poll. We tested weighting recent cycles more — it doesn't help: a pollster's lean in one cycle barely predicts the next (correlation 0.28), so the swings above are mostly noise, and averaging over more history beats chasing the latest cycle. The all-time estimate we use came out within ~0.5% of the best option.