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The Tyson Group

Graded against the actual result across 14 races (from 27 polls, through 2020).

Races polled
14
Polls
27
Avg miss
3.81 pts
Most recent
2020

Head-to-head vs VotePredictor Elections

The fair, apples-to-apples test: on the 14 races The Tyson Group actually polled, how its final poll's margin compared to what VotePredictor Elections predicted for those same races.

ModelAvg miss (pts)Called right
The Tyson Group3.5293%
VotePredictor Elections1.9886%

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 (14)

Each race The Tyson Group 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
2020 LA PresidentR+6.0R+18.612.6
2016 FL PresidentD+3.0R+1.24.2
2016 FL SenateR+5.0R+7.72.7
2014 FL GovernorR+3.0R+1.11.9
2012 NC GovernorR+14.0R+11.42.6
2012 NC-8 HouseR+5.0R+7.82.8
2012 NC PresidentR+4.0R+2.02.0
2010 NC SenateR+10.0R+11.81.8
2008 NC GovernorD+2.0D+3.41.4
2008 NC PresidentD+1.0D+0.30.7
2008 NC SenateD+2.0D+8.56.5
2004 NC GovernorD+15.0D+12.72.3
2004 NC PresidentR+8.0R+12.44.4
2004 NC SenateR+1.0R+4.63.6

Accuracy by time to election

24686–9 wk3–6 wk1–3 wk≤1 wkavg miss (pts)
The Tyson GroupAll 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 wk123.25-1.8283%
3–6 wk83.43-2.3175%
6–9 wk75.21-0.9443%

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)
200433.4D+3.4
2008144.1R+3.0
201232.5R+0.6
201642.9D+2.7

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.