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Psycholinguist from Arrival has nightmares from the job, about the job, on the job 😨

Summary & key points

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.

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The marketing boys think Doctor Manhattan needs a new logo

Summary & key points

In the hit movie Watchmen (2009), Doctor Manhattan has incredible powers as a result of a tragic accident involving a nuclear reaction. After he came back, the government used fear of Doctor Manhattan as a tool. When the 'marketing boys' said that he needed a logo, Doctor Manhattan said that he would only choose a symbol he respected. He thus carved the symbol of an atom on his forehead, giving him the circular branding most viewers are accustomed to seeing.

The Man in Black from Westworld

Summary & key points

The Man in Black from Westworld disrupts a therapy session and shares his views of the world and people.

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Sophie makes key false assumptions in Letters to Juliet movie

Summary & key points

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.

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LinkBoss™ – Link-in-bio tool to rule your social bios.

Summary & key points

LinkBoss™ is link in bio tool and social media profile manager for professionals. Track social profiles. Publish what you want on a public website. All your links all in one place. Share contact info with your custom QR code. Impress business professionals with your live, animated headshot. Custom themes, temporary links, and so much more more so that you can rule your social bio. Free for students.

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The Mask escapes police via dancing to "Cuban Pete"

Summary & key points

Stanley Ipkiss transforms for the first time.

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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.