In the hit movie Avengers: Infinity War (2018), supervillain Thanos has acquired all of the infinity stones necessary in order to control events across the universe. Thor swoops in and drives his massive axe in Thanos' chest to try and stop him. As Thor drives the axe deeper in his chest, Thanos yelps in pain, before regaining his composure. He then tells Thor "you should have gone for the head," and snaps his fingers. Thanos then appears in a red, foggy, dream-like landscape with a large gazebo-style structure in the distance. As Thanos approaches, he sees a child version of Gamora, the girl he sacrificed to get the stones in the first place. Gamora asks him if he did it, and what the cost was. Thanos replies with "yes" and indicates that the cost was "everything," with a teary-eyed look. The clip returns to the fight scene with Thor, and Thor angrily asks what Thanos did. Thanos disappears and a battle scene in another location shows half the people disintegrating into black ashes. Thanos' inability to describe his physical discomfort or other stimuli in his environment demonstrate a well-below average example of the Sensation attribute.
In the hit movie The Gambler (2014), Jim Bennett is a professor leading a secret double life as a high-stakes gambler. Jim is forced to borrow money from a dangerous gangster named Little Frank. Before loaning any funds, Frank delivers a monologue explaining how to manage personal finances such that one is never at the discretion of another person or organization. The monologue packs a lot of specific information clearly, but is obfuscated by a high frequency of the phrase "f*** you." Frank's crisp explanation and emphasis on the expletive phrase demonstrates a below-average example of the Readability attribute.
MyLegacy™ from LINGA allows you to communicate with friends, peers, and loved ones post mortem. MyLegacy™ preserves your communication likeness in the form-factor of a Natural Grammar Clone™ that you can choose to make available to the public. This remarkable product is made possible via our Linguistic Fingerprint™ technology.
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.
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 the hit movie Arrival, Dr. Louise Banks, played by Amy Adams, explains to her military counterpart why she must teach the alphabet to aliens that recently arrived on Earth for an unknown purpose.
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.