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Charlotte York reunites with Harry in a touching moment with a happy ending

Summary & key points

In season 6, episode 6 ("Hop, Skip and a Week") of Sex and the City (2003), Charlotte finds Harry at a singles event at the synagogue and he proposes to her. Before he did, Charlotte let Harry know how much she missed him and adored him. Her strong affection and teary-eyed condition demonstrates the Emotion attribute.

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Night King from GoT communicates his feelings via body language alone

Summary & key points

In Season 7, Episode 6 ("Beyond the Wall") of the hit HBO show Game of Thrones (2017), a battle rages between Jon Snow's group and the White Walkers, led by the Night King. As the dragon Viserion is flying around, the Night King is handed a spear by one of his own soldiers. The Night King then aims at the dragon and strikes it, taking the beast down. Later, the Night King walks up to the line separating the two camps and makes eye contact with Snow as he raises his arms. The Night King never speaks or makes any sounds, thus giving no verbal information to anyone, and this demonstrates an extreme-low example of the Volubility attribute.

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Boxer Oleksandr Usyk feels ready to fight Fury with this walkout!

Boxer Oleksandr Usyk feels ready to fight Fury with this walkout!

Summary & key points

Oleksandr Usyk's walkout in his 2024 fight against Tyson Fury was one for the record books. Given the bright lights and costume, it's no wonder he felt ready to fight. He also won the fight.

The Oracle shows Neo why she is in fact called The ORACLE!!

Summary & key points

In the hit sequel movie The Matrix Reloaded (2003), Neo goes to meet the Oracle, who can allegedly see the future. Without even looking, she tells Neo what is going to happen next on several occasions. This ability to engage in 'mental time travel' with events that have not happened yet highlights the Inference attribute to a degree that no real person can emulate.

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Trump tells Zelenskyy "Don't tell us what we're going to feel" in Oval Office

Summary & key points

When Ukrainian president Volodymyr Zelenskyy met U.S. President Donald J. Trump, the visitor made the mistake of telling President Trump how Americans were going "to feel" in the future. This caused a problem as the discussion unfolded.

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MyLegacy™ by LINGA – Immortality Awaits™

Summary & key points

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.

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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.