You like the dash?

—OwO—

  • stoly@lemmy.world
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    1 day ago

    You can look at people born between dates X and Y and ask them questions then ask the same questions to people born between dates Y and Z and then compare. That’s all this article did.

    • tgcoldrockn@lemmy.world
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      1 day ago

      you could do the same for race , sex, eye color, people who wear flip flops. If its not repeatable then its really drivel.

      • stoly@lemmy.world
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        1 day ago

        It sounds like your real issue is with how social sciences work and not the contents of this article.

          • stoly@lemmy.world
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            1 day ago

            What is misleading? They asked a whole lot of people a simple question then reported the results back. This is hard data that is analyzable.

            • tgcoldrockn@lemmy.world
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              1 day ago

              The sample size is such a small percentage to the group size it can not be conclusive on any level. A quick estimation - Gen Z could account for over 1.2 billion people. The sample in the article is 1000 British people which is 0.0000833%

              • isyasad@lemmy.world
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                6 hours ago

                Though it’s unintuitive, the validity of a sample size has more to do with its literal value/size than how it compares to the total population.
                If you have a sample size of 1000, your predictions about the 2000th individual in a population of 2000 will be just as accurate as your prediction about the 10,000,000th individual in a population of 10,000,000.
                A bigger sample size is better, but it has almost nothing to do with the total population, it doesn’t matter if it’s 1.2 billion or 100 trillion.