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Joined 1 year ago
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Cake day: June 12th, 2023

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  • It is, population size has essentially no effect on statistical significance of a sample (other than amplifying it as you start to sample most of the population). 20,000 people is massive and will give you sub 1% confidence ranges. The difficulty is ensuring you have a representative sample (no one does) and correcting for the biases you do have in your sample.

    Do you really think the huge polling industry is unaware of basic statistics and your dividing the sample size by the population would come as a revaltion to them?















  • The focus on construction is a distraction, the point here is that men of lower socio-economic status in the US are killing themselves at a horrific rate. From the actual paper this article is based on:

    The overall suicide rates by sex in the civilian noninstitutionalized working population were 32.0 per 100,000 among males and 8.0 per 100,000 among females.

    Major industry groups with the highest suicide rates included Mining (males = 72.0); Construction (males = 56.0; females = 10.4); Other Services (e.g., automotive repair; males = 50.6; females = 10.4); Arts, Entertainment, and Recreation (males = 47.9; females = 15.0); and Agriculture, Forestry, Fishing, and Hunting (males = 47.9).

    Major occupation groups with the highest suicide rates included Construction and Extraction (males = 65.6; females = 25.3); Farming, Fishing, and Forestry (e.g., agricultural workers; males = 49.9); Personal Care and Service (males = 47.1; females = 15.9); Installation, Maintenance, and Repair (males = 46.0; females = 26.6); and Arts, Design, Entertainment, Sports, and Media (males = 44.5; females = 14.1).