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  1. Low_Ability4450 on

    Oil burden = US spending on petroleum as a share of GDP : (WTI × US consumption × 365) / GDP

    During the 8 main US oil shocks since 1970 recessions almost always appeared once the burden gets above about 4% of GDP. For 2026 the same math puts the peak at about 2.6% so that is well below the historical recessionary zone ; as a consequence the data suggests this shock is much more likely to be inflationary than recessionary on its own. Those two nuances have to be underlined : 1990 is the near-miss (3.7%) and 2011 is the only clear false positive.

    Sources: FRED, EIA Monthly Energy Review, NBER Business Cycle Dating Committee.

    Tools: Python (Matplotlib) & Illustrator

    Dataset + analysis: [https://eco3min.fr/en/oil-burden-gdp-recession-threshold/](https://eco3min.fr/en/oil-burden-gdp-recession-threshold/)

  2. GiantPandammonia on

    Logistic regression with that point cloud would divide the space very differently and would suggest that we are currently in danger. 

  3. openfolio_dave on

    I will be honest this is really hard to understand at a glance… Which misses the point of visualization. Data viz is mean to make a message clear in a picture.

    What are we saying here? There are so many dimensions with varying dimensions and colors. Years scattered, and x y axis are another thing, and then colors another.

    That is 4D.

    Humans can’t comprehend 4 dimensions intuitively without high effort.

    We can see a cube in our minds with some effort, slightly harder than a 2D square. But seeing a hyper cube is really hard.

  4. Wow, thanks for this. I didn’t know that prices had already returned to pre-shock levels. /s

  5. What happens when you also plot the first 50 days of all the past crises? I suspect the current crisis will then look like one of the worst.

  6. Low_Ability4450 on

    The signal historically is the level of the oil burden (~4% of GDP).

    At about 2.6% today we’re still well below that range.