zug_zug 2 days ago

So since this study is just mechanical Turk it’s entirely possible that this is nothing.

Supposed x% of participants are bots or answer randomly — if we’re measuring a trait that isn’t significantly more common than x% then s big portion of answers for any atypical response (eg I hate other people, I prefer taste of straight coffee beans) will both be random bots and correlate

  • galagawinkle489 2 days ago

    Why would random answers correlate? Statistical significance for something like this is all about rejecting results consistent with randomness. Correlation means it appears to be non-random.

    • zug_zug 2 days ago

      So for a simple example:

      Suppose 1/20 people are sadistic, and 1/20 people love eating bitter food.

      Let's suppose each question is multiple choice with a T/F.

      Let's suppose also 1/10 respondents are bots that answer randomly.

      Of the people who answer they like sadism on a given question, 66% will be bots. And of the people who say they like bitterness 66% will be bots.

      For simplicity sake consider a simple two-question survey (one question about sadism, one about bitter food).

      In this case you will get the following numbers, even if there's no genuine correlation:

      [One bot in each category] - 1/40 like both

      - 3/40 like bitterness but NOT sadism

      - 3/40 like sadism but NOT bitterness

      - 33/40 like neither

      So you would conclude if you like bitterness (4 people) you have a (1/4) 25% chance of liking sadism, whereas if you don't like bitterness (36 people) you have a (3/36) 8% chance of liking sadism. Therefore liking bitterness would appear to predict to liking sadism (when really both are just predictors of being a bot).

doubled112 2 days ago

Does this mean that people like their coffee like their personality?

paradox242 2 days ago

This is definitely going to be one of those studies that fails to replicate.

andy99 2 days ago

Right, just like an aquiline nose and steep brow

Edit to add: 2016