One Nation’s polling surge has triggered an intense dissection of recent election results.
One Nation made the final preference count at the recent Farrer by-election. One Nation also finished in the final preference pairing in more than half of South Australian electorates at the state election in March. These results offer a mine of data where One Nation is a recipient of preferences rather than a provider.
Trying its luck dissecting the results on 7 June was the Australian Financial Review. It published an analysis piece on Farrer and South Australia headlined “How One Nation is winning the preferences war (with the Greens’ help)”.
As I will outline in this post, the article has confused published preference distribution data with more accurate but unavailable preference flow data. And the remark about Greens preferences isn’t backed by my analysis of the data.
The article was published three days before the Farrer flow data was released and the South Australian analysis has been attributed to preference flow data that is not available.
With the South Australian results, the article uses preference transfer data to draw some odd conclusions about Green preferences, and illustrates flows for other parties that aren’t justified given the quality of the data.
That the analytical problems, which I’ll explain in this post, have passed without much comment from anyone is due to the published chart included below. The chart tries to show SA preference flows from other parties to One Nation.

The chart’s meaning and data source are hard to unravel, but mirth has been the main reaction due to the inclusion of imaginary party names. It has caused the AFR to publish a correction and remove the chart from the on-line article.
LCP, an acronym for the Legalise Cannabis Party, is rendered as the Liberal Catholic Party. FGA, for Sarah Game’s Fair Go Australia, is transformed into the Family Guardian Association.
To the best of my knowledge, neither party name has ever been used in Australia.
It looks to me like a case of AI ‘hallucination’, AI asked to convert codes into party names and guessing it wrong. I doubt a human made those errors.
But enough cheap shots over party names. What I really want to explain is the article’s problems with data source and analysis.
With Farrer, I want to explain how the chart used to demonstrate the composition of One Nation’s winning vote uses the wrong data. It results in an incorrect emphasis on whose preferences were responsible for One Nation’s final margin.
With South Australia, the available data cannot be used to isolate the preference flows shown in the now deleted AFR chart. And the data that is available does not support the headlined conclusions about Greens preferences.
In both cases the problem comes down to limitations on how you can use preference transfer data from published distributions. The data must be treated with caution and can’t be automatically compared with more accurate preference flow data.Read More »The Financial Review’s Inaccurate Preference Analysis