The top masculine names account for a larger percent of babies.
Using SSA sex, the male ranking is more saturated than the female ranking.
The pattern holds when looking at the top 100 and top 1000 names.
The SSA dataset contains increasingly many unique names under both F and M rankings. Each year, the F ranking contains more unique names than the M ranking.
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couldn't a reason Mind and Heart hate each other be because of whole's love interest (sung in Haiku and Hidden In The Sand), like how Whole really liked them, but he thought that they would never love him, so basically his Heart wanted to ask them out and pursue a relationship, but his Mind refused thinking they would never love him. And its mostly because of that Whole split into three in the first place, so they both blame each other for it, and that's why they hate each other?
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Something I noticed going back to Etoiles' fight with the code is that the second code that appeared is less saturated, looking muchless vibrant than the one with a name, which is odd.
Is the one named, a 'main' one while the other is a support made to help with the sweeping edge damage?
These colours are colour picked from the same screenshot during Etoiles' fight with them, even at night one is more saturated than the other, the one being saturated having the name.
Not sure what it could mean but it's odd they chose to make at least 2 different code models, especially after it stopped having straight lines of code like before and looks more messed up.
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More and more uncommon names are excluded from the SSA name dataset.
For privacy reasons, the SSA name dataset excludes very uncommon names.
The graph below shows the percent of Social Security card applicants that have been excluded from the SSA name dataset each year.
Per the stated limitations of the SSA name dataset:
To safeguard privacy, we exclude from our tabulated lists of names those that would indicate, or would allow the ability to determine, names with fewer than 5 occurrences in any geographic area. If a name has less than 5 occurrences for a year of birth in any state, the sum of the state counts for that year will be less than the national count.
The SSA also publishes a table with the number of Social Security card applicants by year. This table contains total numbers and not specific names, so applicants with very uncommon names are accounted for in this table. Each year, there is a gap between the number of Social Security card applicants and the number of births accounted for in the SSA name dataset.
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