The attempted point being to measure and compare how people classify colors between blue and green when given a false dichotomy between the two.
But it cannot do that without bias, since people always have the third choice to drop out when they don't like their choices. There is also another bias, which is people will just select some random option when they want to say something equivalent to "blue-green" but don't have the choice, then they get a result biased in that direction but what has actually happened is they have given up. This random choice might be culturally biased towards people's preferred color. I personally selected green when that occurred for me and then just sat on green hammering that. Oh, I'm more willing to say green than other people? Meaningless, I wouldn't have called those colors green in a conversation.
When presented in a forum people also have the choice of criticising the false dichotomy which is what you are experiencing here. The point of posting it here is to get this sort of feedback, so...
OP's point is that this isn't valid because neither of the answers are correct. If you're really trying to measure a spectrum then the answers should allow for fuzziness. That is, you have a range/confidence interval of where green ends and where blue starts and in between is neither/both.
It should probably alternate between blue/notblue... green/notgreen. I hit the same wall. Second question asked if blue/green when it was neither... and I really mean neither. I don't see cyan as a shade of blue or green, rather much like I don't see green as a shade of blue or yellow.
Huh. I consider cyan to be blue, but it turns out it's made by mixing equal parts of blue and green light on an RGB display.
I guess that makes sense thinking about it now since it's not a deep blue, and there's obviously no red component, but I never thought of it as being defined as equal parts blue and green.
(Turquoise I would consider to be blue-green/both).
yeah I've always thought of cyan as just "blue, but really bright", which does make sense - you're going from 0, 0, 100 (blue) to 0, 100, 100 (cyan) so it's twice as far from pure black. I also see pure cyan as being much more blue than green.
How would you feel about a test for "teal or blue" or "teal or green?" You still need to make binary choices, just along different boundaries. Would it make any difference?
If you gave me the exact same color code 20 times I might give you green 10 times and blue the other 10 because I genuinely can't tell the difference. So it's not a binary like you're claiming.
But reproducibility should be the point. As a result of the structure it approaches an asymptote from one side or the other. I took it once and approached from green and my greenness was 77%, a second time it approached from blue and my blueness was 68%.
A test that allows an answer of neither would deliver more information (transition points and an error bar) without failing to identify a distribution in the population taking the test.
>correctness is not the point. binary choice is the whole point. because my blue may not be your blue...
Realistically there is a broad range that we all can acknowledge is neither, but is instead teal, and forcing a binary choice means people just choose randomly.
I don't think that's necessarily the case. I understand that there's a continuum in reality, but psychologically, I still tend to perceive each shade as discretely either blue or green, especially when the shade is presented in isolation. Words like "teal", "cyan", etc. aren't really part of my normal vocabulary and to the extent that they are, I would think of them as subsets of blue or green, not disjoint sets.
I think the test can be fairly criticised on the basis that it is assuming everyone's psychological colour space has a discrete boundary between blue and green, which clearly isn't the case for some people (like you), but it is for others (like me).
It's so remarkable how many people here refuse to understand your point. It's like, there is no right or wrong, no perfect score, just pure subjectiveness, and they can't handle it. If I wasn't convinced this site is entirely bots before, I might be now....
It is enlightening to see who has been fixed on math proofs as testing and who has been exposed to observational testing. Seems many people have been brain washed into the former, forgetting the latter exists.
But that is wrong. This doesn't test colour perception or vision, it tests verbal classification of colour perception into a forced binary. Everyone could be perceiving the colour qualia 100% identically, but simply choosing different linguistic cutpoints, meaning you can't say this is about vision / perception at all (it may just be about language use).
Agreed, there is no clear premise. Of course that different people looking at the same object will use different colour words is a triviality that anyone over, say, 10 years old knows. If that's the premise of the site, it is boring. People are getting excited because they think this implies something about differences in vision or perception... but it doesn't, that requires much more cleverness to test.
The attempted point being to measure and compare how people classify colors between blue and green when given a false dichotomy between the two.
But it cannot do that without bias, since people always have the third choice to drop out when they don't like their choices. There is also another bias, which is people will just select some random option when they want to say something equivalent to "blue-green" but don't have the choice, then they get a result biased in that direction but what has actually happened is they have given up. This random choice might be culturally biased towards people's preferred color. I personally selected green when that occurred for me and then just sat on green hammering that. Oh, I'm more willing to say green than other people? Meaningless, I wouldn't have called those colors green in a conversation.
When presented in a forum people also have the choice of criticising the false dichotomy which is what you are experiencing here. The point of posting it here is to get this sort of feedback, so...
OP's point is that this isn't valid because neither of the answers are correct. If you're really trying to measure a spectrum then the answers should allow for fuzziness. That is, you have a range/confidence interval of where green ends and where blue starts and in between is neither/both.
correctness is not the point. binary choice is the whole point. because my blue may not be your blue...
It should probably alternate between blue/notblue... green/notgreen. I hit the same wall. Second question asked if blue/green when it was neither... and I really mean neither. I don't see cyan as a shade of blue or green, rather much like I don't see green as a shade of blue or yellow.
Huh. I consider cyan to be blue, but it turns out it's made by mixing equal parts of blue and green light on an RGB display.
I guess that makes sense thinking about it now since it's not a deep blue, and there's obviously no red component, but I never thought of it as being defined as equal parts blue and green.
(Turquoise I would consider to be blue-green/both).
yeah I've always thought of cyan as just "blue, but really bright", which does make sense - you're going from 0, 0, 100 (blue) to 0, 100, 100 (cyan) so it's twice as far from pure black. I also see pure cyan as being much more blue than green.
There's no way for me to answer truthfully whether teal is blue or green. It is neither. Anything I give gives a false answer. The data is invalid.
How would you feel about a test for "teal or blue" or "teal or green?" You still need to make binary choices, just along different boundaries. Would it make any difference?
Incorrect, it either lies on the blue side or the green side, you must choose. Neither is not an option.
If you gave me the exact same color code 20 times I might give you green 10 times and blue the other 10 because I genuinely can't tell the difference. So it's not a binary like you're claiming.
If you did that, your score would be 50%, that’s how this works.
Sometimes the answer can be “I reject the premise.”
I’m sure you’ve had conversations where that’s the answer you want to give.
I chose to close the tab.
But reproducibility should be the point. As a result of the structure it approaches an asymptote from one side or the other. I took it once and approached from green and my greenness was 77%, a second time it approached from blue and my blueness was 68%.
A test that allows an answer of neither would deliver more information (transition points and an error bar) without failing to identify a distribution in the population taking the test.
>correctness is not the point. binary choice is the whole point. because my blue may not be your blue...
Realistically there is a broad range that we all can acknowledge is neither, but is instead teal, and forcing a binary choice means people just choose randomly.
I don't think that's necessarily the case. I understand that there's a continuum in reality, but psychologically, I still tend to perceive each shade as discretely either blue or green, especially when the shade is presented in isolation. Words like "teal", "cyan", etc. aren't really part of my normal vocabulary and to the extent that they are, I would think of them as subsets of blue or green, not disjoint sets.
I think the test can be fairly criticised on the basis that it is assuming everyone's psychological colour space has a discrete boundary between blue and green, which clearly isn't the case for some people (like you), but it is for others (like me).
It's so remarkable how many people here refuse to understand your point. It's like, there is no right or wrong, no perfect score, just pure subjectiveness, and they can't handle it. If I wasn't convinced this site is entirely bots before, I might be now....
It is enlightening to see who has been fixed on math proofs as testing and who has been exposed to observational testing. Seems many people have been brain washed into the former, forgetting the latter exists.
But that is wrong. This doesn't test colour perception or vision, it tests verbal classification of colour perception into a forced binary. Everyone could be perceiving the colour qualia 100% identically, but simply choosing different linguistic cutpoints, meaning you can't say this is about vision / perception at all (it may just be about language use).
I think the premise could be stated more clearly. It is a boolean choice. What do you think it is closer to.
Once I figured it, I tried it 2 more times ... and got different results :) but the new results were consistent.
Agreed, there is no clear premise. Of course that different people looking at the same object will use different colour words is a triviality that anyone over, say, 10 years old knows. If that's the premise of the site, it is boring. People are getting excited because they think this implies something about differences in vision or perception... but it doesn't, that requires much more cleverness to test.
Or suspension of expectations…