In season 3, episode 4 ("Conflict of Interest") of the hit TV show Suits (2013), Harvard-trained corporate attorney Louis Litt visits an investment banker's office in order to confront Tony G. about his business empire. Louis encounters another man who intends to keep Louis away from Tony. Louis then drops several folders and has a brief but powerful conversation that explains his leverage. The investment banker's gatekeeper rebukes all of Louis' leverage and indicates that Tony is not present, but in Monaco. Between the insults exchanged, the banker smiles and says "We're not lawyers ... we didn't go to Harvard, we went to Wharton (notable business school) and we saw you coming a mile away." Louis feels defeated as the scene ends. Despite Louis' formal attire and direct clarity, he uses colorful language on two occasions and calls his counterpart "Spank." These juvenile insults demonstrate an above-average example of the Formality attribute.
Popular children's television show host and producer testified before congress in 1969 in order to secure funding for public broadcasting. After only six minutes of speaking, Mister Rogers secured twenty million dollars in his party's favor. Everyone present understood the nature and importance of Roger's work alongside its impact on both young children and the future of America.
In the hit movie Arrival (2016), linguist Dr. Banks has nightmares about her job of decoding an alien language, and presence, on earth. Dr. Banks' inability to differentiate a dream from reality while projecting novel dream content demonstrates an average example of the Inference 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 El Chombo's hit 2006 song called Chacarron, it is difficult to understand the lyrics for most of the track. This includes the repetitive chorus, as shown in the 90-second sample.
In season 6, episode 6 ("Hop, Skip and a Week") of Sex and the City (2003), Charlotte finds Harry at a singles event at the synagogue and he proposes to her. Before he did, Charlotte let Harry know how much she missed him and adored him. Her strong affection and teary-eyed condition demonstrates the Emotion 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.