In the hit Netflix documentary Famous Last Words: Dr. Jane Goodall (2025), Jane Goodall shared her thoughts on a variety of subjects before she passed away on October 1, 2025. Throughout the promotional clip, Goodall reflects on her life, accomplishments, and trials, all before giving advice to the next generation about living a meaningful life. The depth and extent of information shared by Goodall demonstrates a well above-average example of the Volubility attribute.
On June 15, 2012, South Korean K-pop artist Psy stunned the world with the release of his hit single called "Gangnam Style (강남스타일)." The viral music video features lots of action, amusing dance routines, and bright colors. The lyrics of the song discuss the culture of affluent individuals in the Gangnam region of South Korea. Moreso, Psy's lyrics describe nightlife, his behavior, attitudes towards potential romantic partners, and his affluent lifestyle. Psy's inclusion of enough details without disclosing more sensitive information demonstrates a typical example of the Specificity attribute.
In the hit poker movie Rounders (1998), soon-to-be dropout law school student Mike McDermott is facing a stressful poker game against Teddy KGB, a Russian mobster with his own poker club. Mike previously lost his funds to Teddy KGB and has loan sharks after him. During the final poker showdown between the two, Mike is folding good hands because he notices that Teddy KGB has him beat when he splits open and eats an Oreo cookie. This cue allowed Mike to dominate most of the hands until Teddy KGB figured it out. The outburst indicates that the Russian realized his own tell. In using phrases like "Lays down a monster. The f*** did you lay that down. Should have paid me off ...," Teddy vocalizes his own inability to use cues, logical reasoning, and predictive consideration. This is reinforced by the expletives. Teddy KGB's self-admitted mistake after speaking in a confident manner demonstrates a near-bottom example of the Inference attribute.
In rock band Blondie's 1978 hit single called Heart of Glass, the lyrics tell us about the potential disappointment of romance. The entire song features a single example of colorful language: "... soon turned out to be a pain in the a**." This limited, tame use of colorful language exemplifies the Formality attribute.
In 2017, the popular Spanish song "Despacito" by Luis Fonsi and Daddy Yankee was remixed with the inclusion of Justin Bieber. The new "Despacito - Remix" version includes Bieber singing in both English and Spanish. During the English portion, the lyrics recount longing and passion for a romantic partner. Lyrics like "My sunrise on the darkest day / Got me feelin' some kind of way" and "The way you nibble on my ear, the only words I wanna hear" reference visual, physical, and auditory sensory perception, and demonstrate a typical example of the Sensation attribute.
In the hit Netflix movie Happy Gilmore 2 (2025), Happy's golf doubles partner gets injured after falling on ice and he needs a substitute. Luckily, behind him is Shooter McGavin, his former golf rival. It only takes Happy a few words to ignite Shooter's passion for golf enough to get him to say yes. With Shooter's help, they both win the round. Happy's efforts to convince Shooter, although successful, included insults and jabs. Plus, Shooter seemed eager to participate either way. Happy's general effort to get Shooter to do what he wants is a typical demonstration of 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.