In Superman (2025), Lex Luthor blew a gasket after he learned that Superman escaped his prison. So much so, in fact, that Lex screamed out loud and began to throw things on the floor and at his soon-to-be ex-girlfriend.
On September 14, 2023, UFC boss Dana White joined the famous UK broadcaster Piers Morgan for an interview on Morgan's YouTube channel, Piers Morgan Uncensored ("Piers Morgan vs Dana White | The Full Interview"). Morgan began asking Dana questions about his parents and upbringing, a topic that Dana usually avoids. As the questions became more personal, Dana politely set clear boundaries by shying away from certain details. For example, Dana disclosed that his parents recently passed away, but avoided providing specific dates or details. This is unlike the UFC boss who, having done many press conferences, is trained in and comfortable with sharing precise numbers and facts. The topic was exhausted when Dana remarked that the questions reminded Morgan of his own wife. Dana White's reluctance to provide precise information about his relationship with his own parents demonstrates a below-average example of the Specificity attribute.
In Taylor Swift's hit 2014 album called "1989," the single track called "Shake it Off" gained worldwide attention for its catchy beat and dismissal of negativity surrounding Swift's public image. Indeed, the lyrics repeat phrases like "the haters gonna hate, hate, hate, hate, hate." Compared to Swift's other songs, "Shake it Off" is unique because there is limited mention of personal romance, drama, and feelings. Rather, the song uses words and phrases related to Swift's intended actions, not her emotional state. Taylor Swift's slight use of language related to positive and negative affect demonstrate an above average example of the Emotion attribute.
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.
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.