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Wednesday Addams likes to show off her moves at the school dance

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In season 1, episode 4 of the hit Netflix series Wednesday, the Addams teenager is shown dancing like she means it at her school's function.

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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.
Feels Score: 8 in
DrinkSip – Wake Up Happy™

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Venice Beach, CA based DrinkSip makes ultra premium non-alcoholic beer that's always fresh, has lower calories, and tastes delicious. With the DrinkSip Refresher series, you are guaranteed to enjoy great-tasting beer in flavors like watermelon and lime – and there's no hangover so you always Wake Up Happy™.
Lex Luthor can't control his rage after Superman escaped his cage

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In Superman (2025), Lex Luthor blew a gasket after he learned that Superman escaped his prison. So much so, in fact, that Lex screamed out loud and began to throw things on the floor and at his soon-to-be ex-girlfriend.

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On September 14, 2023, UFC boss Dana White joined the famous UK broadcaster Piers Morgan for an interview on Morgan's YouTube channel, Piers Morgan Uncensored ("Piers Morgan vs Dana White | The Full Interview"). Morgan began asking Dana questions about his parents and upbringing, a topic that Dana usually avoids. As the questions became more personal, Dana politely set clear boundaries by shying away from certain details. For example, Dana disclosed that his parents recently passed away, but avoided providing specific dates or details. This is unlike the UFC boss who, having done many press conferences, is trained in and comfortable with sharing precise numbers and facts. The topic was exhausted when Dana remarked that the questions reminded Morgan of his own wife. Dana White's reluctance to provide precise information about his relationship with his own parents demonstrates a below-average example of the Specificity attribute.
Feels Score: 4 in

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In season 15, episode 12 ("Milhouse Doesn't Live Here Anymore") of the hit TV show The Simpsons (2004), Homer Simpson is panhandling for funds in order to support his family. His wife, Marge Simpson, confronts Homer about where he is spending his time. Homer replies by saying "I'm not going to lie to you" and continues reading the newspaper, and gives Marge a gift when she pushes the matter. Homer's inability to share details and rapid change of subject demonstrate the lowest possible score of the Specificity attribute.
Feels Score: 1 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.