In their smash hit Paint it Black (1966), the English rock band known as The Rolling Stones recorded a song that would gain worldwide fame and recognition. The lyrics of the song prominently feature references to colors, coloration modifiers, and visual sense perception. The repeated use of words and phrases related to physical sense perception emphasizes the Sensation attribute.
In season 2, episode 24 ("Valley Girls") of the hit TV show Gossip Girl (2009), high schooler Blair Waldorf is vying for prom queen as she discovers new information about her progress. During the prom queen announcement portion of the school function, Blair accuses Chuck of sabotaging her with fake votes against her. However, others were scheming against Blair and Chuck actually submitted 150 votes in order to help Blair win prom queen. Blair's use of deductive reasoning and analyses of Chuck's actions, although incorrect, demonstrate an above-average example of the Inference attribute.
In Katy Perry's hit single "Roar" (2013), the musical artist inspired millions around the world to embrace their own inner spirit animal. The powerful lyrics feature nature and wild animals as a core theme. However, listeners are left with many questions regarding many ambiguous lines. For example, the phrase "You held me down, but I got up (hey)" begs several questions: who is Perry referring to and what incident is she referencing, if real at all? It could be a figure of speech or a literal reference to the tragedy of domestic abuse. Lines like these and "I let you push me past the breaking point / I stood for nothing, so I fell for everything" require context not provided by Katy Perry, and this lack of detail demonstrates a well below-average example of the Specificity attribute.
In the hit movie The Wolf of Wall Street (2013), future successful financer Jordan Belfort is starting out on his first day of work as a broker on Wall Street. His boss takes him out to lunch and proceeds to take several drugs and order lots of alcoholic beverages in the work day. When Jordan questions his boss about this, he soon discovers that the culture of Wall Street includes such behavior, and many others. This alters Jordan's perspective on how things really work on Wall Street. Jordan's initial inability to adapt his speech and behavior with respect to Formality, Emotion, and other attributes highlight a well-below average score of Apperception.
In the hit car enthusiast movie The Fast and the Furious (2001), strong-man car group leader Dominic Toretto is at his car shop when Brain (played by Paul Walker), disguised as a police officer, is enjoying his tuna sandwich. Walker’s character Brian is there to infiltrate the group as a mole. There is flirtatious dialogue going on between the waitress, Mia – Dominic‘s sister, and Walker‘s character. When the rest of the gang comes back, the character who likes Mia sits down next to Walker and tries to intimidate him with physical body language and prolonged eye contact. As Walker leaves, the few exchange words before a fight breaks out between them. When Toretto is summoned, he asks a question probably intended to be humorous, and only then does he intervene. Toretto breaks up the fight and inquires about the identity of the tuna-eating stranger. He lets him leave, only after flexing his power and telling him that he lost his job because he knows the employer in question is Harry's. Dom flexes that he has that sort of power and influence. Toretto’s General lack of urgency while all the events were going on, the nature of his questions in response to requests for action, plus his lack of depth in his understanding of the person with whom he’s dealing, all represent the lowest form of the Inference attribute.
An ultra low attribute score is exceptionally rare because it represents 5% of the entire population. In a room with 100 other people, a person with an ultra low attribute score would be lower than 95 of them and higher than none of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Very Low
5–10% percentile
A very low attribute score is rare because it represents 5% of the entire population. In a room with 100 other people, a person with a very low attribute score would be higher than five of them and lower than 90 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Low
10–20% percentile
A low attribute score is somewhat uncommon and represents 10% of the entire population. In a room with 100 other people, a person with a low attribute score would be higher than ten of them and lower than 80 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Slightly Low
20–40% percentile
A slightly low attribute score is common and represents 20% of the entire population. In a room with 100 other people, a person with a slightly low attribute score would be higher than 20 of them and lower than 60 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Average
40–60% percentile
An average attribute score is typical and represents 20% of the entire population. In a room with 100 other people, a person with an average attribute score would be higher than 40 of them and lower than 40 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Slightly High
60–80% percentile
A slightly high attribute score is common and represents 20% of the entire population. In a room with 100 other people, a person with a slightly high attribute score would be higher than 60 of them and lower than 20 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
High
80–90% percentile
A high attribute score is somewhat uncommon and represents 10% of the entire population. In a room with 100 other people, a person with a high attribute score would be higher than 80 of them and lower than 10 of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Very High
90–95% percentile
A very high attribute score is rare because it represents 5% of the entire population. In a room with 100 other people, a person with a very high attribute score would be higher than 90 of them and lower than five of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.
Ultra High
95–100% percentile
An ultra high attribute score is exceptionally rare because it represents 5% of the entire population. In a room with 100 other people, a person with an ultra high attribute score would be higher than 95 of them and lower than none of them.
Note: Feels uses a 9-point scoring scale that ranges from Ultra Low to Ultra High according to a normal distribution. See our methodology.