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Federal Politics 2013-

Jan 16, 2014

BludgerTrack: 52.0-48.0 to Labor

The Track is back – but with only two new poll results to go on, and no sign so far of any change since before the break.

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With the return of Morgan and Essential Research, the weekly BludgerTrack poll aggregate is also back in business, albeit that it’s on a fairly shaky footing at present given the shallow pool of new data. However, since both polls show little change on the situation as they were recording it before the break, there’s nothing in national figures that should arouse any controversy. Both major parties and the Palmer United Party are down slightly on the primary vote, with the slack taken up by the Greens and others, and there is no change at all on two-party preferred. The seat projection nonetheless ticks a point in the Coalition’s favour owing to the vagaries of the latest state-level data. Full details, as always, on the sidebar (to those wondering why there are three data points after the break rather than two, the Morgan poll has been broken down into two results to account for it having been conducted over two weekends).

The monthly personal ratings from Essential Research also allow for an update to the leadership ratings, but this should be treated with even greater caution given that there’s only one result available from the past month. So while it may be that the air is indeed going out of Bill Shorten’s honeymoon, you would want to see more than one data point from Essential Research before jumping to such a conclusion, which is essentially all the model is reacting to at present. This points to a broader difficulty with the BludgerTrack leadership rating methodology which I aim to address in due course, namely the lack of any adjustment for each pollsters’ idiosyncrasies. There will thus be a tendency for the numbers to move around based purely on which particular pollster happens to have reported most recently. When enough data is available, I will start tracking each pollsters’ variation from the aggregated trend and applying “bias” adjustments accordingly.

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