• @hemko@lemmy.dbzer0.com
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    5 months ago

    This is such annoying chart. It implies that that these countries on top have more depressed people, but it correlates more accurately with how accessible the antidepressants are

    • @Zikeji@programming.dev
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      5 months ago

      I don’t think it was designed to imply that. None of the language appears to steer the viewer to a specific conclusion, letting the viewer interpret it for themselves.

      That being said, I would agree that the data itself represents both access to mental health care and culture (specifically, if that culture has a stigma against it).

      I think some of the larger countries are not really useful in the dataset though. I’m curious how say, California and say, Alabama, would look in the dataset.

      • @calcopiritus@lemmy.world
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        225 months ago

        Considering that 100+ is red, most is orange, low is yellow, it looks like “look these are the bad countries with depressed people”.

        • @Zikeji@programming.dev
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          35 months ago

          Holy crap I’m blind xD. I take it back, it does seem to portray the notion. Goes to show how subtle it is.

      • @hemko@lemmy.dbzer0.com
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        35 months ago

        Yeah I think it the best would be comparisons in smaller areas, such US states or within Europe, where availability is similar within the area but culture might have bigger impact.

        I have no idea how you could measure the people who’re in need of those medicine within area though, which would be the most interesting comparison. Are people in Finland more depressed than, say, Estonians?

      • @corsicanguppy@lemmy.ca
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        15 months ago

        I don’t think it was designed to imply that.

        Are you suggesting that “Antidepressant Consumption” just accomplishes the goal of implying people are more depressed accidentally, then? It’s very effective, even if it tries to hide behind language.