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.
In the hit car enthusiast movie The Fast and the Furious (2001), strong-man car group leader Dominic Toretto is at his car shop when Brain (played by Paul Walker), disguised as a police officer, is enjoying his tuna sandwich. Walker’s character Brian is there to infiltrate the group as a mole. There is flirtatious dialogue going on between the waitress, Mia – Dominic‘s sister, and Walker‘s character. When the rest of the gang comes back, the character who likes Mia sits down next to Walker and tries to intimidate him with physical body language and prolonged eye contact. As Walker leaves, the few exchange words before a fight breaks out between them. When Toretto is summoned, he asks a question probably intended to be humorous, and only then does he intervene. Toretto breaks up the fight and inquires about the identity of the tuna-eating stranger. He lets him leave, only after flexing his power and telling him that he lost his job because he knows the employer in question is Harry's. Dom flexes that he has that sort of power and influence. Toretto’s General lack of urgency while all the events were going on, the nature of his questions in response to requests for action, plus his lack of depth in his understanding of the person with whom he’s dealing, all represent the lowest form of the Inference attribute.
In season 2, episode 24 ("Valley Girls") of the hit TV show Gossip Girl (2009), high schooler Blair Waldorf is vying for prom queen as she discovers new information about her progress. During the prom queen announcement portion of the school function, Blair accuses Chuck of sabotaging her with fake votes against her. However, others were scheming against Blair and Chuck actually submitted 150 votes in order to help Blair win prom queen. Blair's use of deductive reasoning and analyses of Chuck's actions, although incorrect, demonstrate an above-average example of the Inference attribute.
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.
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.
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.