The Gaussian PDF in the meme template looked a bit off to me so I extracted the curve shape and did a least-squares curve fit of a Gaussian to it and turns out it is in fact wrong. Thanks for coming to my TED talk. Source for the meme template: imgflip. Tools used: GIMP for extracting an image of just the curve boundary, Python with PIL, numpy and matplotlib for the rest.

Posted by x5830

Share.

28 Comments

  1. 100IQ u/x5830 trying his best at statistics while 145 IQ wizard knows that real distributions never perfectly conform to theoretical models anyway.

  2. Isn’t the whole representation of this bell curve that it’s a statistical estimation based on the population, and therefore, odds are, it would not be a completely perfect bell distribution? How many normal distributions are that flawless?

  3. Now that it’s in front of my eyes, the meme curve does seem wonky

    Thank you for opening my eyes

  4. Wow, when you have both the blue and orange curves, it is painfully obvious the blue is not really Gaussian. Amazed I never saw it before (or is it faked here?).

  5. wolf_at_the_door1 on

    IQ and the studies surrounding it are historically rooted in the Eugenics movement. We shouldn’t be using IQ anymore. It’s outdated and doesn’t represent a persons whole knowledge or ability.

  6. Who’s gonna make a meme of this?
    – Left side: Looks like a bell curve to me
    – Middle: OP
    – Right side: Most distributions aren’t really normal anyways

  7. The_Indominus_Gamer on

    I’d like to remind everyone that IQ is a system created to give rationality to white supremacy

  8. Alarming-Inflation90 on

    IQ is race based pseudoscience from the start. It’s nose shape. It’s phrenology. The ‘distribution curve’ is a red herring argument.

  9. User-K549125 on

    “The meme curve is fine bro” | “The meme curve is wrong!” | “The meme curve is fine bro”

  10. CSMasterClass on

    It pays to not look to closely here. The scores on the classic IQ tests have drift away from mean 100. New tests are mean 100 by constuction. All the scores have fat tails — as most natural data does. There would be various lumps on the left tail if the sample is large enough — due to the differences in various well-defined medical conditions. The right tail is unlikely to have lumps.