In Katy Perry's hit single "Roar" (2013), the musical artist inspired millions around the world to embrace their own inner spirit animal. The powerful lyrics feature nature and wild animals as a core theme. However, listeners are left with many questions regarding many ambiguous lines. For example, the phrase "You held me down, but I got up (hey)" begs several questions: who is Perry referring to and what incident is she referencing, if real at all? It could be a figure of speech or a literal reference to the tragedy of domestic abuse. Lines like these and "I let you push me past the breaking point / I stood for nothing, so I fell for everything" require context not provided by Katy Perry, and this lack of detail demonstrates a well below-average example of the Specificity attribute.
Before any conflict between people, the first weapon drawn is language. That's why we call them fighting words. And in the theatres of human conflict, sometimes the impossible becomes the improbable – and a legend emerges. If you talk to other human beings, you are also a linguist. LINGA has innovative tools, products, and services to help you level up in this arena and get more of what you want from others through the power of human language. There's a linguist in all of us. Start leveling up today.
On November 19, 2018, rapper and actor Snoop Dogg earned a coveted star on the famous Hollywood Walk Of Fame. During his brief acceptance speech, the well-dressed Snoop Dogg thanked the usual suspects: family, friends, coworkers, people who believed in him, and so forth. A few minutes in, he began saying "I wanna thank me for ..." this and that. The crowd laughed and the rapper received mixed reactions online. Snoop Dogg's candid responses were not deeply personal, but more general and humorous. This level of disclosure in front of a live audience demonstrates an average example of the Volubility attribute.
In Superman (2025), Lex Luthor gains access to Superman's fortress in Antarctica. The intruders subdue every threat, including Superman's dog. Lex then comments how Superman (Clark Kent) is not a "man," but an "it," and proceeds to make negative remarks about Superman's appearance and fame.
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.
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.
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.