Ethnicities’ Female SMV Rankings

thecel

thecel

narrow-orbits brachy-skull ogre
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Female ethnic makeups ranked by average attractiveness to me.



Tier 1 : Special Phenos
  1. Mulatta with Light Eye Color
  2. Mulatta (example: 40% African, 60% European)
  3. Mixed Black (example: 50% West African, 25% East African, 25% European)
  4. Redheaded Caucasian
  5. MENA+Latina Mix
Tier 2 : High Tier
  1. Latina (example: 35% Native American, 60% European, 5% African)
  2. MENA
  3. Western European
  4. Eastern European
Tier 3 : Low Tier
  1. South Asian (examples: Pakistan, India, Bangladesh, Sri Lanka)
  2. Monoracial West African
  3. Monoracial East African
  4. Hapa (example: 50% East Asian, 50% European)
Tier 4 : Deathnics
  1. Native American
  2. Aboriginal Australian
  3. Southeast Asian
  4. East Asian
    1. Japanese
    2. Korean
    3. Chinese
 
Last edited:
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Female ethnic makeups ranked by average attractiveness to me.



Tier 1 : Special Phenos
  1. Mulatta with Light Eye Color
  2. Mulatta (example: 40% African, 60% European)
  3. Mixed Black (example: 50% West African, 25% East African, 25% European)
  4. Redheaded Caucasian
  5. MENA+Latina Mix
Tier 2 : High Tier
  1. Latina (example: 35% Native American, 60% European, 5% African)
  2. MENA
  3. Western European
  4. Eastern European
Tier 3 : Low Tier
  1. South Asian (examples: India, Pakistan, Bangladesh, Sri Lanka)
  2. Monoracial West African
  3. Monoracial East African
  4. Hapa (example: 50% East Asian, 50% European)
Tier 4 : Deathnics
  1. Native American
  2. Aboriginal Australian
  3. Southeast Asian
  4. East Asian
    1. Japanese
    2. Korean
    3. Chinese
Native American foids are bone moggers
 
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This is ur insecurity speaking you boneless cuck
 
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  • WTF
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@crisis @Xangsane @Wallenberg
 
COPE.
 
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Gay tier
 
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mulatta and mena on top :sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick::sick:
 
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Why would you put a :blackpill: tag on an admittedly subjective ranking? It's meant to be used for full-sending (everyone who disagrees has to be incorrect). Mods should give warnings to users who half-send with the :blackpill: tag.

Related:
 
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Why would you put a :blackpill: tag on an admittedly subjective ranking? It's meant to be used for full-sending (everyone who disagrees has to be incorrect). Mods should give warnings to users who half-send with the :blackpill: tag.

Related:

rate

 
Based
 
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retard put east african women in low tier
habesha women fog buddy
 
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Female ethnic makeups ranked by average attractiveness to me.



Tier 1 : Special Phenos
  1. Mulatta with Light Eye Color
  2. Mulatta (example: 40% African, 60% European)
  3. Mixed Black (example: 50% West African, 25% East African, 25% European)
  4. Redheaded Caucasian
  5. MENA+Latina Mix
Tier 2 : High Tier
  1. Latina (example: 35% Native American, 60% European, 5% African)
  2. MENA
  3. Western European
  4. Eastern European
Tier 3 : Low Tier
  1. South Asian (examples: Pakistan, India, Bangladesh, Sri Lanka)
  2. Monoracial West African
  3. Monoracial East African
  4. Hapa (example: 50% East Asian, 50% European)
Tier 4 : Deathnics
  1. Native American
  2. Aboriginal Australian
  3. Southeast Asian
  4. East Asian
    1. Japanese
    2. Korean
    3. Chinese
If ur talking top 1% (which IMO is what matters) you are right.

If you're talking averages, then ur hierarchy is quite wrong
 
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If ur talking top 1% (which IMO is what matters) you are right.

If you're talking averages, then ur hierarchy is quite wrong

average visible women 18–35 in the West
 
Bs
 
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rate side profile

1691140876168


morphed based on

1691124805289
1691124811715
1691125537911


 
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