>Everyone is seeing the same color (unlike the dress), but they're choosing different words to describe it.
Everyone isn't hearing the same word.
Everyone isn't hearing the same word.
There is a significant difference between people classifying things differently when they exist right on the boundary between two classifications (ie two implementations of the same classification method will frequently disagree), and classifying things differently when the classifications are nowhere near each other (ie you’d hope an objective method has a significantly lower error rate).
The former is about the accuracy and precision of your measurements. The latter is about how you interpret them. Both are important, but are also different subjects.