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Energy fears spark inaccurate fuel countdown posts in Australia (AFP)

Press/Media: Expert Comment

Description

Nature of contribution: Named expert source, interviewed 21 April 2026.  I was one of two academic experts that was consulted. This is my second AFP Fact Check contribution on fuel dashboard misinformation, following the 20 April item.

Description

Quoted as an energy economist specialising in behavioural finance in an AFP verification of viral posts using the Last Drop dashboard to claim Australian fuel reserves were substantially lower than officially reported. Took issue specifically with the countdown clock device, arguing that speculative run-out countdowns and depletion dates rendered in authoritative visual conventions closely resembling official warnings create a public interest risk of misattribution — the hazard being not fabricated data but modelled estimates being mistaken for official advice during a crisis, with consequences for panic buying and institutional trust.

Subject

Fuel supply modelling dashboards, visual presentation of speculative estimates and public misinterpretation during energy supply disruption.

Period21 Apr 2026

Media contributions

1

Media contributions

  • TitleEnergy fears spark inaccurate fuel countdown posts in Australia,
    Degree of recognitionInternational
    Media name/outletAFP
    Media typeWeb
    Country/TerritoryWorldwide
    Date21/04/26
    DescriptionThis AFP fact-check examines social media claims that Australia's fuel reserves were depleting faster than the government had disclosed, based on the Last Drop dashboard and its countdown clock for jet fuel, petrol and diesel. The verification establishes that the site publishes modelled estimates derived from public data, carries disclaimers to that effect, and produced figures diverging materially from the government's weekly official reporting on the same date. Dr Lurion De Mello addresses the presentation rather than the underlying data, arguing that speculative run-out countdowns and depletion dates rendered in authoritative visuals resembling official warnings generate a misattribution risk, since modelled estimates mistaken for official advice during a crisis can drive panic buying and undermine institutional trust. Swinburne University's Hussein Dia separately identifies the model's dependence on assumptions regarding consumption, import disruption and panic buying, and notes that fuel types and volumes in the shipping data are inferred rather than confirmed with national averages applied to individual cargoes, compounding uncertainty through the model — concluding that the tool illustrates vulnerability but cannot determine actual days of cover. The piece further documents the platform's creators as consultancies with ties to the federal opposition, its exclusive sharing arrangement with News Corp, and responses from the creators, News Corp and the Energy Minister's office.
    Producer/AuthorDene-Hern Chen
    URLhttps://factcheck.afp.com/doc.afp.com.A8PR763
    PersonsLurion De Mello