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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.
Feels Score: 9 in

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In season 1, episode 2 of The Summer I Turned Pretty (2022), Belly is picking up some snacks at the gas station when the cashier starts flirting with her. Unfortunately for Belly, she does not realize this is the case until much later in the interaction. By the time she gets in the car, Belly starts adjusting her hair and evaluating her physical appearance.
Feels Score: 3 in

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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 Superman (2025), Lex Luthor is confronted by Superman (Clark Kent) for stealing his dog. Superman storms in Lex's office in the city and flips his desk, demanding to know the location of his dog, Krypto. Lex lies to Superman while holding a stern glaze and sipping his coffee. Lex then makes a comment under his breath about how the dog wears a cape, making it plain to all that Lex in fact stole Superman's dog. Lex's ability to deceive Superman while giving himself away demonstrates an above-average example of the Apperception attribute.
Feels Score: 6 in

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In El Chombo's hit 2006 song called Chacarron, it is difficult to understand the lyrics for most of the track. This includes the repetitive chorus, as shown in the 90-second sample.
Feels Score: 1 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.

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.