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.
In the hit Nintendo 64 video game called The Legend of Zelda: Majora's Mask (2000), the young hero named Link has to save the world before the moon comes crashing down in three days. Link must help the Happy Mask Salesman recover a powerful but dangerous mask called Majora's Mask. Throughout the game, Link never talks. But, he does gasp and make other sounds in response to events. Notably, when Link puts on any of the major transformation masks in order to take other forms, he screams out in pain until his bodily form change is complete. Link's lack of verbal replies but audible reactions demonstrate a near-bottom example of the Volubility attribute.
Before any conflict between people, the first weapon drawn is language. That's why we call them fighting words. And in the theatres of human conflict, sometimes the impossible becomes the improbable – and a legend emerges. If you talk to other human beings, you are also a linguist. LINGA has innovative tools, products, and services to help you level up in this arena and get more of what you want from others through the power of human language. There's a linguist in all of us. Start leveling up today.
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 season 1, episode 2 of the hit HBO show called Silicon Valley (2014), venture capitalist Laurie Bream is having a meeting with her subordinate, Monica. Laurie lets Monica know that she may sit down if she wishes, although Laurie will be standing. Laurie then switches between sitting and standing, repeats herself, and misses Monica's obvious body language cues. This inability to adapt to the language and behavior of others demonstrates the Apperception 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.