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Hard not to chuckle at: > People have erroneous intuitions about the laws of chance. In particular, they regard a sample randomly drawn from a population as hi
by glacials 4y ago
Hard not to chuckle at:
> People have erroneous intuitions about the laws of chance. In particular, they regard a sample randomly drawn from a population as highly representative, that is, similar to the population in all essential characteristics. The prevalence of the belief and its unfortunate consequences for psvchological research are illustrated by the responses of professional psychologists to a questionnaire concerning research decisions.
(emphasis mine)
Not only does the statement say that “people” make this mistake then go on to cite a questionnaire only of professional psychologists, but the questionnaire is the prototypical non-random random sample the very psychologists taking it are allegedly proving misinformation about. Questionnaires select for people with the time, inclination, and attention to start and then finish a questionnaire.
Infamously, experiments held at universities bias towards undergrads. Experiments that reward participation bias towards people motivated by the reward. Experiments that don’t reward participation bias towards people good-natured enough to contribute just for science.
Randomness is hard.
- pixl97 4y agoUsing undergrads is how you get W.E.I.R.D. science
- autosharp 4y agoCertainly very ironic. But is this line of argument incorrect? E.g. if I said "I don't believe in the Holy Book because in verse 7 it says that one cannot trust anything written in any books". Isn't that an analogous reasoning? I think these examples/arguments are ultimately about exposing a liar-paradox statement, and when you can show such a statement you have proven that something isn't right.
- raverbashing 4y ago> Randomness is hard. Yes. And might I say everything has a statistical bias. Picking people for an experiment is not like throwing dice Your sample will always be biased, and it would be crazy to try and get a random sample from "the world". (and even then you have temporal bias - you can't run your experiments on people from the XIX century)