Lush
Boob Connoisseur
- Joined
- Sep 15, 2021
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In one of my other threads, I didn't find the results I was looking for in a particular article. I wanted to find out how many women are likely to have each breast size but, instead, for the most part, I found out which countries have larger breasts. This got me thinking about which languages are most spoken by larger breasted women (or, at least, more likely to be spoken by larger breasted women). So, I found the main languages used in each of the countries with the largest breasts and then calculated how many total speakers there are of each language according to estimates of how many people speak each language in each country. Because we are talking about likelihood, this would mean the populations are used as scores because the language that is used by the most people would be more likely to be used by a large breasted woman. But using population as a score doesn't make sense because I am trying to find the languages that are more likely to be used by large breasted women and not languages that are more likely to be used amongst populations that are more likely to have larger breasted women. So, I had to add a breast size rating to these scores. I did this by adding the instances that these languages are used in countries with national averages of C, D, E, and F cups and by adding an adjusted placement where I have the scores for languages in countries that have national averages of C cups before adding them to the score for languages in countries that have national averages of D cups and above. This will make the total scores more reliant on the D cup scores than the C cup scores; so, anytime you see a plus sign in the square brackets, the language was placed higher on the list because the breasts sizes of the women are more likely to be higher.
The overall results has the languages listed in order of descending use, the cup sizes of instances where the language is used in multiple large breasted countries, and the adjusted placement in square brackets. The poll asks which language you would learn or prefer to use to increase the likelihood that you meet a large breasted woman. This whole thread is just an elaborate version of the joke where someone looks at cup size averages plotted on a world map and then feels compelled to go to that country. By the way, I excluded English becuase most of us use it on this thread. But if I included it, it would be somewhere in between 500 million and 1 billion speakers. Even with a negative a negative adjusted placement, there are so many people that speak it that it would probably have at least 300 million speakers anyway.
Overall Results
The overall results has the languages listed in order of descending use, the cup sizes of instances where the language is used in multiple large breasted countries, and the adjusted placement in square brackets. The poll asks which language you would learn or prefer to use to increase the likelihood that you meet a large breasted woman. This whole thread is just an elaborate version of the joke where someone looks at cup size averages plotted on a world map and then feels compelled to go to that country. By the way, I excluded English becuase most of us use it on this thread. But if I included it, it would be somewhere in between 500 million and 1 billion speakers. Even with a negative a negative adjusted placement, there are so many people that speak it that it would probably have at least 300 million speakers anyway.
Overall Results
- Portuguese (217 Million) D [-3]
- Spanish (201 Million) D, D, D, D, C, D, C, F, (DD), (DD) [0]
- Russian (170.25 Million) D, C, DF, (DD), (DD), (DD) [+2]
- German (139.25 Million) D, C, D, D, D, C, F, (DD), (DD), (DD) [+1]
- French (106.75 Million) D, E, D, D, D, C, F, (DD), (DD), (DD) [0]
- Italian (66.5 Million) D, D [0]
- Polish (41.25 Million) D, D, D [0]
- Ukrainian (34.5 Million) (DD) [-1]
- Dutch (25 Million) D [+1]
- Romanian (18.25 Million) [-3]
- Greek (12 Million) D [-6]
- Hungarian (12 Million) [+1]
- Chinese (12 Million) D, E, E, (DD) [-1]
- Swedish (10.5 Million) C, C, (DD), (DD) [+4]
- Czech (10.25 Million) [+3]
- Serbian (7.75 Million) [-6]
- Slovak (6.5 Million) [-5]
- Turkish (6.25 Million) C, D, D, (DD) [+2]
- Bulgarian (6 Million) C [+4]
- Norwegian (5.5 Million) D, (DD) [+2]
- Finnish (5.25 Million) C, (DD) [+1]
- Danish (5 Million) C [+3]
- Croatian (4.5 Million) [+2]
- Arabic (4.25 Million) D, E, (DD) [-2]
- Yiddish (4 Million) [-3]
- Vietnamese (4 Million) D, E, (DD) [+1]
- Bosnian (3.25 Million) [+3]
- Georgian (3 Million) [-1]
- Tagalog (2.25 Million) E, E, (DD) [+2]
- Albanian (2.25 Million) [-1]
- Armenian (2 Million) [-1]
- Lithuanian (2 Million) [-1]
- Slovenian (1.75 Million) [-6]
- Punjabi (1.75 Million) E [-6]
- Korean (1 Million) E, (DD) [+5]
- Welsh (1 Million) D [+1]
- Scots (1 Million) D [+1]
- Estonian (1 Million) [-4]
- Belarusian (0.5 Million) D [-2]
- Icelandic (0.5 Million) D [+3]
- Romani (0.35 Million)
- Luxembourgish (0.25 Million) [0]
- Macedonian (0.2 Million) [0]
- Aromanian (0.1 Million) [0]
- Kurdish (0.1 Million) [0]
- Bosnian (0.1 Million)
- Rioplatense (0.1 Million) [-1]
- Catalan (0.1 Million) C [-1]
- Montenegrin (0.05 Million) [-1]
- Romani (0.025 Million) C [+12 & Azerbaijani made the list at 50th place]
- Russian (158.75 Million)
- German (123.5 Million)
- Spanish (122 Million)
- French (21.75 Million)
- Dutch (17 Million)
- Swedish (10.5 Million)
- Czech (10.25 Million)
- Hungarian (9 Million)
- Bulgarian (6 Million)
- Turkish (6 Million)
- Norwegian (5.5 Million)
- Danish (5 Million)
- Finnish (5 Million)
- Chinese (4 Million)
- Italian (3.5 Million)
- Croatian (3.5 Million)
- Bosnian (3 Million)
- Polish (2.75 Million)
- Tagalog (1.75 Million)
- Ukrainian (1.5 Million)
- Vietnamese (1.5 Million)
- Arabic (1.25 Million)
- Portuguese (1.1 Million)
- Slovak (1 Million)
- Korean (1 Million)
- Portuguese (215 Million)
- French (85 Million)
- Spanish (79 Million)
- Italian (63 Million)
- Polish (38.5 Million)
- Ukrainian (33 Million)
- Romanian (18 Million)
- German (15.75 Million)
- Greek (12 Million)
- Russian (11.5 Million)
- Dutch (8 Million)
- Chinese (8 Million)
- Serbian (7 Million)
- Slovak (5.5 Million)
- Yiddish (4 Million)
- Georgian (3 Million)
- Arabic (3 Million)
- Hungarian (3 Million)
- Vietnamese (2.5 Million)
- Albanian (2.25 Million)
- Armenian (2 Million)
- Lithuanian (2 Million)
- Slovenian (1.75 Million)
- Punjabi (1.75 Million)
- Croatian / Estonian / Welsh / Scots / Gaelic (1 Million)