Polling: Voting Intention

GB Polling Average

Latest voting intention polls and trendline

Methodology

1. Accuracy Weighting 🎯

Every pollster is assigned a score derived from their historic accuracy. This is displayed as a 0–100 scale in the coloured circles beside each pollster. Purple circles (47) indicate a new pollster without a track record, assigned a provisional penalty score to prevent unproven methodologies skewing the average.

2. Frequency Balancing ⚖️

To prevent high-volume pollsters from skewing the average through sheer quantity, weights are adjusted for frequency. If a firm publishes multiple times within a 10-day window, their total weight is distributed across those polls.

3. Time-Based Kernel Smoothing 📅

The trendline uses a Time-Based Kernel Average (a 35-day window).

4. Outlier Rejection (Bisquare) 📉

A robust two-pass system measures how far a poll deviates from the initial trend. Extreme outliers have their influence drastically reduced or zeroed out.

Trendline

Data Filters
Model Parameters
35 d

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