(Of course, labels can be particular or general, as reference can be to an individual, as in the "JFK" example above, or, severally, to all the members of a set, as with "blue" with respect to all blue items).
In her video she held up an awkwardly shaped blue item that was supposed to be a dress.
Wear all blue items that looks nice to you.
The tiara was borrowed, and she had a blue ribbon sewn into her dress for her blue item.
Billboard magazine praised it as "a strong blues item wrapped up in his usual powerful style and a great beat".
As with any Bayesian reasoning, a prior probability close to zero (or one) requires a lot of evidence to overcome; in this case, we would conclude that a sample with a high proportion of blue items was most likely a coincidence, and the posterior probability of the sample matching the population would still not be high.
For example, if "blue" is one of a large range of possible colors, then a priori it is unlikely that an individual is blue and unlikely that a sample will have many blue items.
Time how long it takes your child to find eight blue items bigger than a cracker in your home and garden.
American flags and red-white-and blue items like crepe paper bunting began to disappear from shelves.
For example, if the proportion of blue items in the sample is 100%, it suggests that the population proportion is close to 100%; that is positively relevant to matching since samples of near-homogeneous populations are more likely to match.
The fact that turtles are selecting against blue items could indicate that blue plastics are less readily visible against the blue background of the open ocean.
