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In the hit movie Letters to Juliet (2010), Sophie meets a guy she likes and has an exchange with him while on the balcony. As we learn, Sophie misunderstood several key facts about the guy she liked and they reunite their romance. Sophie's numerous inaccurate but consequential assumptions demonstrate a below-average example of the Inference attribute.
Feels Score: 4 in

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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.
Feels Score: 5 in
Arrival movie linguist introduces herself to aliens: "I am Louise ... Who are you?"

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Top linguist Dr. Louise Banks introduces herself to the aliens that landed on earth.

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In season 2, episode 1 ("Summer, Kind of Wonderful") of the hit TV show Gossip Girl (2009), high schooler Blair Waldorf is about to leave on a date when she finds herself talking to her on-off romantic partner, Chuck. Before she leaves with another man, Blair asks Chuck to declare his love by saying "three words, eight letters," implying that she wants him to say "I love you." When Chuck hesitates, Blair says "thank you" and proceeds to get in the car with her date. Blair's cold words and affect related to her romance with Chuck demonstrates a below-average example of the Emotion attribute.
Feels Score: 4 in

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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.
Feels Score: 4 in

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In the hit movie Watchmen (2009), scientist-turned-superhero Doctor Manhattan is doing a live, televised interview and is asked tough questions. Mainly, the interviewer suggests that the presence of Doctor Manhattan causes cancer in normal humans. Doctor Manhattan's responses analyze the nature of matter in a calm and collected manner. This was highlighted when Doctor Manhattan insisted that the chemical composition of a live body is chemically identical to a deceased one. His regard for the human condition as a matter of chemistry reflects the absence of the Sensation attribute.
Feels Score: 2 in

Ultra Low

0–5% percentile
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.