Comment by jacobolus
2 years ago
The color name question here doesn't have a clear answer because most of the respondents would call this "teal", "blue–green", "turqoise", "cyan", "aqua", or some similar name. You'd get somewhat similar results asking whether an orange (the fruit) is really "red" or "yellow", or whether an eggplant is really "blue" or "red".
An individual person's answers on this kind of question are likely to vary from day to day, are context dependent (i.e. whether one object or another appears more "green" or "blue" depends on what kind of object it is), and colors this intense are very sensitive to changes in eye adaptation and technical details of the display and software, as well as inter-observer metamerism.
So in addition to the color naming difficulties, it's not even a very good test of color naming, if you want to get reliable psychometric/linguistic data.
For a single individual, all of the above is true, but for a large enough sample size, the answers may be more generally useful because you account for all of those rounding errors.
No, because if my case holds more genera (and I suspect it does), the answers are in part out of sheer frustration, and therefore prone to being similar to the last one given.
I am not afraid to say this is poorly designed.
Unlikely, I'd expect most people to not have a meltdown about this.
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