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American Viewpoint

Graded against the actual result across 20 races (from 24 polls, through 2022).

Races polled
20
Polls
24
Avg miss
6.41 pts
Most recent
2022

Head-to-head vs the VotePredictor model

The fair, apples-to-apples test: on the 15 races American Viewpoint actually polled, how its final poll's margin compared to what the VotePredictor model predicted for those same races.

ModelAvg miss (pts)Called right
American Viewpoint5.5280%
VotePredictor6.4880%

VotePredictor 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 (19)

Each race American Viewpoint 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
2022 OK GovernorR+15.0R+13.71.3
2020 CA-21 HouseR+11.0R+0.910.1
2020 IA-4 HouseR+23.0R+24.21.2
2020 PA-1 HouseR+16.0R+13.12.9
2018 AZ-1 HouseEVEND+7.77.7
2018 IL-13 HouseR+13.0R+0.812.2
2018 OH-1 HouseR+7.0R+4.42.6
2018 IN SenateR+4.0R+5.91.9
2016 NY-21 HouseR+25.0R+28.13.1
2014 CA-31 HouseD+4.0D+3.50.5
2012 CT-5 HouseR+7.0D+3.110.1
2012 IA-4 HouseR+7.0R+8.11.1
2010 GA-8 HouseR+8.0R+5.42.6
2006 CT-5 HouseR+10.0D+12.922.9
2004 NC SenateR+2.0R+4.62.6
2002 FL-22 HouseR+29.0R+22.46.6
2002 WA-2 HouseR+3.0D+4.37.3
2002 MO SenateR+7.0R+1.15.9
2000 US PresidentR+2.0D+0.52.5

Accuracy by time to election

24686–9 wk3–6 wk1–3 wk≤1 wkavg miss (pts)
American ViewpointAll 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 wk76.76+1.6943%
3–6 wk125.23-0.5183%
6–9 wk58.75+2.6080%

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)
200246.7R+6.7
201864.7R+2.8
202034.7R+3.9

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.