Quantitative Methods for Categorizing Fat Women
Anonymous
Mon 11 Dec 2023 06:04:42
bb34a2
US
No.40932 Original
Motivation:
1. So there are some well-known terms for describing the bodies of BBWs (pear, apple, etc.) but these aren't super specific. People often like specific body parts, combinations, or shapes that are more specific than this but lack terminology. A more detailed system would be useful for the purposes of discussing and grading BBWs.
2. With the popularity of AI, having more precise descriptions could be used for generating more specific body shapes.
3. We are all autistic porn addicts so why not.
Proposal:
My initial idea is to break down the body into a number of sections
>Face
>Neck
>Upper/lower arms
>Chest
>Belly area
>Fupa area
>Right/left buttocks
>Upper/lower legs
Totaling 11 different body parts. There would be a list of possible categorical values for each body part based on its shape. Each body part on a BBW would be assigned one of these categorical values and a second ordinal number describing its size. For example, we could say that Boberry has a type-A, size-5 belly. Once a dataset is compiled for a large number of BBWs, we could identify common combinations to create detailed labels for various body types.
What are your thoughts on this? How could this be improved? Would a system based on continuous values be more useful?
1. So there are some well-known terms for describing the bodies of BBWs (pear, apple, etc.) but these aren't super specific. People often like specific body parts, combinations, or shapes that are more specific than this but lack terminology. A more detailed system would be useful for the purposes of discussing and grading BBWs.
2. With the popularity of AI, having more precise descriptions could be used for generating more specific body shapes.
3. We are all autistic porn addicts so why not.
Proposal:
My initial idea is to break down the body into a number of sections
>Face
>Neck
>Upper/lower arms
>Chest
>Belly area
>Fupa area
>Right/left buttocks
>Upper/lower legs
Totaling 11 different body parts. There would be a list of possible categorical values for each body part based on its shape. Each body part on a BBW would be assigned one of these categorical values and a second ordinal number describing its size. For example, we could say that Boberry has a type-A, size-5 belly. Once a dataset is compiled for a large number of BBWs, we could identify common combinations to create detailed labels for various body types.
What are your thoughts on this? How could this be improved? Would a system based on continuous values be more useful?