• nibbler@discuss.tchncs.de
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    2 days ago

    You’re mixing two population averages, so you need a weighted calculation.

    Let’s approximate first: France has about 67 million people out of roughly 447 million in the European Union, so ≈15% French and 85% non-French.

    We set up:

    Overall EU rate = weighted average 1.7=0.15⋅8+0.85⋅x

    Solve:

    1.7=1.2+0.85x 0.5=0.85x x≈0.59

    So, among non-French Europeans, the rate is roughly 0.6 per 100,000.

    That’s substantially lower than both the French rate (8) and the EU average (1.7), which makes sense given how high the French figure is relative to the rest. Also this is pretty much what I read for Vietnam in this chart.

    thanks France, for ruining our numbers!

    Edit: somewhere in this thread someone from France gives a perfectly good reason and connects the high starvation rate to assisted suicide. Which shines it’s light on another problem but very well explains and justifies the “starvation rate” - making this graph/comparison even more absurd.

    • merdaverse@lemmy.worldOP
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      17 hours ago

      Dunno what you’re trying to prove here, apart from “removing an outlier from the data makes the data closer to the average”, which is pretty obvious.

      But you can clearly see that the graph shows Europe, not EU, so using your same calculation with the population of Europe, which is 745 million and excluding France, the result is 1.13.

      Also I don’t see any indication that OurWorldInData is using an average of countries (which would be stupid). Considering their jobs are statistics, they probably know how to aggregate per population, aka a weighted average.

    • atopi@piefed.blahaj.zone
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      2 days ago

      it says Europe though, not the European Union

      if you click the question mark near the Europe statistic, it says it also includes countries like Russia and the UK which mess with the statistic a lot