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In season 1, episode 2 of the hit HBO show called Silicon Valley (2014), venture capitalist Laurie Bream is having a meeting with her subordinate, Monica. Laurie lets Monica know that she may sit down if she wishes, although Laurie will be standing. Laurie then switches between sitting and standing, repeats herself, and misses Monica's obvious body language cues. This inability to adapt to the language and behavior of others demonstrates the Apperception attribute.
Feels Score: 3 in

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Popular children's television show host and producer testified before congress in 1969 in order to secure funding for public broadcasting. After only six minutes of speaking, Mister Rogers secured twenty million dollars in his party's favor. Everyone present understood the nature and importance of Roger's work alongside its impact on both young children and the future of America.
Feels Score: 8 in

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eHammurabi is a digital version of the Law Code of Hammurabi, including cuneiform, transliteration, normalization, and an English translation. It is the most advanced tool for comparing credible translations and other contents related to Hammurabi's Code. This digital project is managed by the OMNIKA Foundation, a 501(c)(3) nonprofit whose mission is to digitize and make freely available all the world's mythological contents. Enthusiasts, students, teachers, and experts use eHammurabi to study Hammurabi's Akkadian law code with credible source materials.
Feels Score: 9 in

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In the movie Sex and the City (2008), Carrie is about to get married to John James Preston, or Mr. Big, and he gets cold feet while watching Carrie in his limousine. Carrie and Mr. Big speak on the phone and he tells her that he can't get married to her. Then, Mr. Big changes his mind as he is being driven and spots Carrie in the car on the other side of the road. They both pull over, get out, and confront one another. Although Mr. Big apologizes and seems as though he wants to get married – the events were too much for Carrie to bear – and she lashes out with her words and flowers at Mr. Big. She explains how she knew that he was going to do that, and how he humiliated her, all before Carrie's friends take her back into a vehicle and exit. Carrie's tears, physical aggression, and feelings of humiliation highlight an extreme instance of the Emotion attribute.
Feels Score: 9 in

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In the hit Marvel cinematic universe movie Doctor Strange (2016), talented Neurosurgeon Doctor Stephen Strange suffers a tragic car accident which ruins his medical career. After finding and joining a group of witches and sorcerers, he learns that Kamar-Taj, the group's compound, is under attack. A former member turned rogue named Kaecilius is the attacker. He confronts Doctor Strange on a long stairway. When Kaecilius says "How long have you been at Kamar-Taj, Mister ...," Strange answers with his formal title, "Doctor." A confused Kaecilius replies with "Mister Doctor," and Strange quips back: "It's Strange." Still confused, Kaecilius replies with "Maybe, but who am I to judge." In this brief exchange, Doctor Strange's simple responses cause confusion over his name, and this lack of clarity demonstrates a well below-average example of the Readability attribute.
Feels Score: 3 in
LINGA – Our business is language itself™

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LINGA is a psycholinguistics technology company that provides authorship identity verification as a service via our proprietary Linguistic Fingerprint™ technology. Through the LINGA web application, guests complete writing prompts in order to build their Linguistic Fingerprint™. Once built, guests can discover their true selves as expressed in the form-factor of writing. Guests can also scan written documents in order to generate a unique Authorship Verification Certificate, which is certified by LINGA and available as a downloadable PDF file. This certificate indicates whether or not the scanned document matches our guest's Linguistic Fingerprint™, and is backed by our $1,000,000 Authorship Integrity Defense Guarantee (SM · Terms apply). Individual guests can use LINGA to verify and defend authorship integrity for important written works like books, articles, papers, speeches, and more.

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.