Filipina dating Hongkong

haha yes

2018.10.06 19:59 Tokiseong haha yes

/OneWordBan banned words
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1 row# Date Banned Word shoutout to the enforcers ^
2 1 7/28/2018 ban banned bannable banning bans bann 3 2 7/29/2018 reddit subreddit redit redditor redditors reddits 4 3 7/29/2018 special specal specail spcial specialized specialty specialization 5 4 7/29/2018 rectangle rectangles rectangular 6 5 7/29/2018 america american murica 7 6 7/29/2018 megaphone megaphones megaphoned megaphoning 8 7 7/29/2018 butthole buttholes 9 8 7/29/2018 monday mondays 10 9 7/30/2018 alphabet alphabets alphabetical alphabetically 11 10 7/30/2018 country countries 12 11 7/30/2018 moderate moderated moderates moderating moderation moderator moderators moderately moderateness nonmoderate nonmoderately nonmoderateness semimoderate semimoderately unmoderated unmoderating 13 12 7/31/2018 thanks thank hammer thankfully thankfulness unthankful unthankfully unthankfulness thanked thanking unthanked unthanking thanker rethank rethanked thanker thankers rethanking 14 13 7/31/2018 music musical musically musicless antimusic musiclessly antimusical antimusically 15 14 7/31/2018 love loves loving loved lovely loveliness loveless lovelessness lover lovers 16 15 7/31/2018 attack helicopter attack helicopers 17 16 7/31/2018 redact redacted redacts redaction redactions redacting redactor redactors 18 17 7/31/2018 synonym synonyms synonymic synonimity 19 18 7/31/2018 number numbers numbered numbering 20 19 7/31/2018 rules ruled ruler ruling rulers rule ruleless 21 20 8/1/2018 cheese cheeses cheesed cheesing 22 21 8/1/2018 fun funner funnest funs funned funning 23 22 8/1/2018 rock rocks rocked rocking rock-like rockless rocklet rocklets 24 23 8/1/2018 please pleased pleases pleasing 25 24 8/1/2018 agree agreement agreements agrees agreed agreeing 26 25 8/1/2018 ten tens 10 27 26 8/1/2018 world worlds 28 27 8/2/2018 value values valued valuing 29 28 8/2/2018 chart charted charts charting 30 29 8/2/2018 stair stairs 31 30 8/2/2018 night nights 32 31 8/2/2018 energy energies 33 32 8/2/2018 prize prizes 34 33 8/3/2018 opinion opinions opinionated 35 34 8/3/2018 lamp lamps lampshade 36 35 8/3/2018 snout snouts 37 36 8/3/2018 confident confidently confidence 38 37 8/3/2018 kick kicks kicker kicking kicked 39 38 8/3/2018 investigate investigation investigator investigators investigations 40 39 8/4/2018 bacteria bacterium bacterial 41 40 8/4/2018 tent tents tenting tented 42 41 8/4/2018 petition petitions petitioning petitioned 43 42 8/4/2018 fireworks firework 44 43 8/4/2018 short shorts shorter shortish shortness shortbread 45 44 8/5/2018 apple apples 46 45 8/5/2018 game games gamify gamfiy gaming gamed 47 46 8/5/2018 leaf leafs leafy leaves 48 47 8/5/2018 chlorophyll chlorophyllous 49 48 8/5/2018 addendum addenda addendums 50 49 8/5/2018 vicarious vicariously vicariousness 51 50 8/6/2018 chicken chickens chickened 52 51 8/6/2018 beef beefs beefy beefed beefing 53 52 8/6/2018 office offices officing officed officer officers 54 53 8/6/2018 maybe might possible possibly unsure probable probably likely uncertain uncertainty 55 54 8/7/2018 butt butts buttocks buttock bum bums rump rumps derriere derrieres bottom bottoms tush tushes tail tails backside backsides fanny fannys fannies posterior posteriors heiney heineys hinney hinneys 56 55 8/7/2018 heinies arse ass asshole arsehole gluteus maximus
gluteus minimus gluteus medius 57 56 8/8/2018 Afghanistan Afghan Albania Albanian Algeria Algerian Andorra Andorran Angola Angolan Antigua Antiguan Barbuda Barbudan Barbudian Argentina Argentinian Argentine Argentinean Armenia Armenian Australia Australian Austria Austrian 58 57 8/8/2018 Azerbaijan Azerbaijani Bahamas Bahamian Bahrain Bahraini Bangladesh Bangladeshi Barbados Barbadian Bajos Belarus Belarusian Belgium Belgian Belize Belizean Benin Beninese Bhutan Bhutanese Bolivia Bolivian Bosnia Bosnian 59 58 8/8/2018 Herzegovina Herzegovinain Botswana Motswana Brazil Brazilian Brunei Bruneian Bulgaria Bulgarian Burkina Faso Burkinabe Burundi Burundian Cabo Verde Cape Verde Cape Verdean Cabo Verdean Cambodia Cambodian Cameroon Cameroonian Canada Canadian 60 59 8/8/2018 Central African Republic Central African Chad Chadian Chile Chilean China Chinese Colombia Colombian Comoros Comorian Democratic Republic of the Congo
Republic of the Congo Congolese Costa Rica Costa Rican Tico Ticoa Cote d'Ivoire Ivory Coast Ivorian Ivoirian Croatia Croatian 61 60 8/8/2018 Cuba Cuban Cyprus Cypriot Czech Republic Czech Czechia Denmark Danish Dane Djibouti Djiboutian Dominican Dominican Republic Quisqueyan Ecuador Ecuadorian Egypt Egyptian El Salvador El Salvadorian Equatorial Guinea
Equatorial Guinean Equatoguinean Eritrean 62 61 8/8/2018 Eritrea Estonia Estonian Eswatini Swaziland Swazi Ethiopia Ethiopian Fiji Fijian Finland Finnish France French Gabon Gabonese Gabonaise Gambia Gambian Georgia Georgian Germany German Ghana Ghanaian 63 62 8/8/2018 Greece Greek Grenada Grenadian Guatemala Guatemalan Guinea Guinea-Bissau Bissau-Guinean Guyana Guyanese Haiti Haitian Honduras Honduran Cratacho Cratachoa Hungary Hungarian Iceland Icelander India Indian Indonesia Indonesian Iran 64 63 8/8/2018 Iranian Persian Iraq Iraqi Ireland Irish Israel Israeli Italy Italian Jamaica Jamaican Japan Japanese Jordan Jordanian Kazakhstan Kazakhstani Kenya Kenyan Kiribati I-Kiribati Kosovo Kosovar Kosovan Kuwait 65 64 8/8/2018 Kuwaiti Kyrgyzstan Kyrgyzstani Kyrgyz Laos Lao Laotian Latvia Latvian Lebanon Lebanese Lesotho Mosotho Basotho Liberia Liberan Libya Lybian Liechtenstein Lichtensteiner Lithuania Lithuanian Luxembourg Luxembourgish Luxembourger 66 65 8/8/2018 Macedonia Macedonian FYROM Madagascar Malagasy Malawi Malawian Malaysia Malaysian Maldives Maldivian Mali Malian Malta Maltese Marshall Islands Marshallese Mauritania Mauritanian Mauritius Mauritian Mexico Mexican Micronesia Micronesian 67 66 8/8/2018 Moldova Moldovan Monaco Monacan Monégasque Mongolia Mongolian Mongol Montenegro Montenegrin Morocco Moroccan Mozambique Mozambican Myanmar Burma Myanma Burma Namibia Namibian Nauru Nauruan Nepal Nepalese Netherlands 68 67 8/8/2018 Dutch New Zealand New Zealander Kiwi Nicaragua Nicaraguan Niger Nigirien Nigeria Nigerian North Korea North Korean Norway Norwegian Oman Omani Pakistan Pakistani Palau Palauan Palestine Palestinian Panama Panamanian Papua New Guinea
69 68 8/8/2018 Papua New Guinean Paraguay Paraguayan Guaraní Peru Peruvian Philippines Filipino Filipina Pinoy Pinay Philippine Poland Polish Portugal Portugese Qatar Qatari Romania Romanian Russia Russian Rwanda Rwandan Saint Kitts and Nevis
70 69 8/8/2018 Nevisian Kittian Saint Lucia Saint Lucian Saint Vincent and the Grenadines Vincy Vincentian Samoa Samoan San Marino Sammarinese Sao Tomean Santomean Sao Tome and Principe Saudi Arabia Arabian Saudi Senegal Senegalese Serbia Serbian Seychelles Seychellois Seychelloise Seselwa 71 70 8/8/2018 Sierra Leone Sierra Leonean Singapore Singaporean Slovakia Slovakian Slovenia Slovenian Solomon Islands
Solomon Islander Somalia Somalian South Africa South African South Korea South Korean South Sudan Spain Spanish Sri Lanka Sri Lankan Sudan Suriname Sweden Swedish Switzerland Swiss 72 71 8/8/2018 Syria Syrian Taiwan Taiwanese Tajikistan Tajikistani Tanzania Tanzanian Thailand Thai Siamese Timor-Leste East Timor Timorese East Timorese Maubere Togo Togolese Tongan Tonga Trinidad and Tobago Trini Trinidadian Tunisia Tunisian Turkey 73 72 8/8/2018 Turkish Turkmenistan Turkmen Tuvalu Tuvaluan Uganda Ugandan Ukraine Ukrainian United Arab Emirates Emirati UAE United Kingdom UK British Briton United States of America American Uruguay Uruguayan Uzbekistan Uzbek Vanuatu Ni-Vanuatu Vatican City 74 73 8/8/2018 Holy See Venezuela Venezuelan Vietnam Vietnamese Yemen Yemeni Yemenite Zambia Zambian Zimbabwe Zimbabwean Zimbo Scotland Scottish Scots Wales Welsh England English Northern Ireland Spaniard Macau Hong Kong Macanese 75 74 8/8/2018 Hongkonger Hong Kongese 76 75 8/9/2018 malfunction malfunctions malfunctioning malfunctioned ashame ashamed ashames ashaming seppuku seppukus 77 76 8/10/2018 draft drafted drafting drafts drafter drafters sub subscribe subscribing subscription subscriptions subs subscribes subscribed 78 77 8/10/2018 mess messier messiest mess messed messing 79 78 8/11/2018 wood woods wooden woody wooding wooded wooder woodest neon neons 80 79 8/11/2018 beta betas clap clapped clapping clapper 81 80 8/12/2018 karate weeaboos weeaboo squirrtle squirrtles 82 81 8/12/2018 chickpea chickpeas asian asians black blacks blacker blacking blacked white whites whiter whiting whited indian indians 83 82 8/12/2018 soup soups souped souping 84 83 8/12/2018 stromboli strombolis cannoli cannolis avocado avocados avacado avacados 85 84 8/13/2018 gym gymnasium gyms gyming gymed gymnasia gymnasiums tour tours touring toured concert concerts concerting concerted conterts conterting 86 85 8/13/2018 balls baller balled ball balling forbidden forbiddened schools school schooled schooled 87 86 8/14/2018 I me you he him she her it we us you they them 88 87 8/22/2018 flow flower flowed flowing flows rider riders riding 89 88 8/22/2018 yeet yeeted yeeter yite mint minty mints minter 90 89 8/23/2018 cancer cancerous cancered two 2 91 90 8/23/2018 death deathly deathed deathy deaths 92 blueberry blueberries 93 algae alga algaes nile fleet fleets fleeting fleeted fleeter fleetest 94 tap taps tapping tapped tappings traffic traffics trafficking trafficked sentry sentries 95 stamina station stations stationing stationed certificate certificates certificating certificated 96 search searches searching searched park parks parking parked radar radars radaring radared 97 sow sows swine sowing sowed sown theatre theatres 98 shorting shorted shortest curl curls curling curled pea peas 99 microscope microscopes microscopic microscoping microscoped microscopically relative relatives relatively straw straws strawing strawed 100 sneeze sneezes sneezing sneezed prairie prairies estate estates 101 florist florists formula formulae formulas formulæ cape capes caping caped 102 tender tenderer tenderest tenders tendering tendered stretch stretchs stretching stretched stretches enhance enhances enhancing enhanced 103 center centers centering centered centre centres centreing centring centred background backgrounds backgrounding backgrounded earthflax 104 crown crowns crowning crowned rage rages raging raged monster monsters monstering monstered 105 definite definites indefinite stay stays staying stayed stayer stayest candle candles candling candled 106 senior seniors censorship censorships exhibition exhibitions exhibitionist 107 comprehensive comprehensives comprehensiveness
comprehensively
comprehensivization
comprehensiveize depend depends depending depended projection projections 108 demonstrator demonstrators sea seas personality personalities 109 10/2/2018 favourite favourites favouriting favourited favorite favorites favoriting favorited pen pens penning penned mislead misleading misleaded misled misleads 110 10/4/2018 screen screens screening screened estimate estimates estimating estimated mail carrier mail carriers 111
EDIT: DESPACITO 3: despacito 3
EDIT 2: damn it only called my out on banned instead of all the words :(
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2018.10.01 02:49 Totem-Lurantis Link 2 last hecking

Pls
Edit:fuck me
Edit 2: 1 row# Date Banned Word shoutout to the enforcers ^ 2 1 7/28/2018 ban banned bannable banning bans bann 3 2 7/29/2018 reddit subreddit redit redditor redditors reddits 4 3 7/29/2018 special specal specail spcial specialized specialty specialization 5 4 7/29/2018 rectangle rectangles rectangular 6 5 7/29/2018 america american murica 7 6 7/29/2018 megaphone megaphones megaphoned megaphoning 8 7 7/29/2018 butthole buttholes 9 8 7/29/2018 monday mondays 10 9 7/30/2018 alphabet alphabets alphabetical alphabetically 11 10 7/30/2018 country countries 12 11 7/30/2018 moderate moderated moderates moderating moderation moderator moderators moderately moderateness nonmoderate nonmoderately nonmoderateness semimoderate semimoderately unmoderated unmoderating 13 12 7/31/2018 thanks thank hammer thankfully thankfulness unthankful unthankfully unthankfulness thanked thanking unthanked unthanking thanker rethank rethanked thanker thankers rethanking 14 13 7/31/2018 music musical musically musicless antimusic musiclessly antimusical antimusically 15 14 7/31/2018 love loves loving loved lovely loveliness loveless lovelessness lover lovers 16 15 7/31/2018 attack helicopter attack helicopers 17 16 7/31/2018 redact redacted redacts redaction redactions redacting redactor redactors 18 17 7/31/2018 synonym synonyms synonymic synonimity 19 18 7/31/2018 number numbers numbered numbering 20 19 7/31/2018 rules ruled ruler ruling rulers rule ruleless 21 20 8/1/2018 cheese cheeses cheesed cheesing 22 21 8/1/2018 fun funner funnest funs funned funning 23 22 8/1/2018 rock rocks rocked rocking rock-like rockless rocklet rocklets 24 23 8/1/2018 please pleased pleases pleasing 25 24 8/1/2018 agree agreement agreements agrees agreed agreeing 26 25 8/1/2018 ten tens 10 27 26 8/1/2018 world worlds 28 27 8/2/2018 value values valued valuing 29 28 8/2/2018 chart charted charts charting 30 29 8/2/2018 stair stairs 31 30 8/2/2018 night nights 32 31 8/2/2018 energy energies 33 32 8/2/2018 prize prizes 34 33 8/3/2018 opinion opinions opinionated 35 34 8/3/2018 lamp lamps lampshade 36 35 8/3/2018 snout snouts 37 36 8/3/2018 confident confidently confidence 38 37 8/3/2018 kick kicks kicker kicking kicked 39 38 8/3/2018 investigate investigation investigator investigators investigations 40 39 8/4/2018 bacteria bacterium bacterial 41 40 8/4/2018 tent tents tenting tented 42 41 8/4/2018 petition petitions petitioning petitioned 43 42 8/4/2018 fireworks firework 44 43 8/4/2018 short shorts shorter shortish shortness shortbread 45 44 8/5/2018 apple apples 46 45 8/5/2018 game games gamify gamfiy gaming gamed 47 46 8/5/2018 leaf leafs leafy leaves 48 47 8/5/2018 chlorophyll chlorophyllous 49 48 8/5/2018 addendum addenda addendums 50 49 8/5/2018 vicarious vicariously vicariousness 51 50 8/6/2018 chicken chickens chickened 52 51 8/6/2018 beef beefs beefy beefed beefing 53 52 8/6/2018 office offices officing officed officer officers 54 53 8/6/2018 maybe might possible possibly unsure probable probably likely uncertain uncertainty 55 54 8/7/2018 butt butts buttocks buttock bum bums rump rumps derriere derrieres bottom bottoms tush tushes tail tails backside backsides fanny fannys fannies posterior posteriors heiney heineys hinney hinneys 56 55 8/7/2018 heinies arse ass asshole arsehole gluteus maximus gluteus minimus gluteus medius 57 56 8/8/2018 Afghanistan Afghan Albania Albanian Algeria Algerian Andorra Andorran Angola Angolan Antigua Antiguan Barbuda Barbudan Barbudian Argentina Argentinian Argentine Argentinean Armenia Armenian Australia Australian Austria Austrian 58 57 8/8/2018 Azerbaijan Azerbaijani Bahamas Bahamian Bahrain Bahraini Bangladesh Bangladeshi Barbados Barbadian Bajos Belarus Belarusian Belgium Belgian Belize Belizean Benin Beninese Bhutan Bhutanese Bolivia Bolivian Bosnia Bosnian 59 58 8/8/2018 Herzegovina Herzegovinain Botswana Motswana Brazil Brazilian Brunei Bruneian Bulgaria Bulgarian Burkina Faso Burkinabe Burundi Burundian Cabo Verde Cape Verde Cape Verdean Cabo Verdean Cambodia Cambodian Cameroon Cameroonian Canada Canadian 60 59 8/8/2018 Central African Republic Central African Chad Chadian Chile Chilean China Chinese Colombia Colombian Comoros Comorian Democratic Republic of the Congo Republic of the Congo Congolese Costa Rica Costa Rican Tico Ticoa Cote d'Ivoire Ivory Coast Ivorian Ivoirian Croatia Croatian 61 60 8/8/2018 Cuba Cuban Cyprus Cypriot Czech Republic Czech Czechia Denmark Danish Dane Djibouti Djiboutian Dominican Dominican Republic Quisqueyan Ecuador Ecuadorian Egypt Egyptian El Salvador El Salvadorian Equatorial Guinea Equatorial Guinean Equatoguinean Eritrean 62 61 8/8/2018 Eritrea Estonia Estonian Eswatini Swaziland Swazi Ethiopia Ethiopian Fiji Fijian Finland Finnish France French Gabon Gabonese Gabonaise Gambia Gambian Georgia Georgian Germany German Ghana Ghanaian 63 62 8/8/2018 Greece Greek Grenada Grenadian Guatemala Guatemalan Guinea Guinea-Bissau Bissau-Guinean Guyana Guyanese Haiti Haitian Honduras Honduran Cratacho Cratachoa Hungary Hungarian Iceland Icelander India Indian Indonesia Indonesian Iran 64 63 8/8/2018 Iranian Persian Iraq Iraqi Ireland Irish Israel Israeli Italy Italian Jamaica Jamaican Japan Japanese Jordan Jordanian Kazakhstan Kazakhstani Kenya Kenyan Kiribati I-Kiribati Kosovo Kosovar Kosovan Kuwait 65 64 8/8/2018 Kuwaiti Kyrgyzstan Kyrgyzstani Kyrgyz Laos Lao Laotian Latvia Latvian Lebanon Lebanese Lesotho Mosotho Basotho Liberia Liberan Libya Lybian Liechtenstein Lichtensteiner Lithuania Lithuanian Luxembourg Luxembourgish Luxembourger 66 65 8/8/2018 Macedonia Macedonian FYROM Madagascar Malagasy Malawi Malawian Malaysia Malaysian Maldives Maldivian Mali Malian Malta Maltese Marshall Islands Marshallese Mauritania Mauritanian Mauritius Mauritian Mexico Mexican Micronesia Micronesian 67 66 8/8/2018 Moldova Moldovan Monaco Monacan Monégasque Mongolia Mongolian Mongol Montenegro Montenegrin Morocco Moroccan Mozambique Mozambican Myanmar Burma Myanma Burma Namibia Namibian Nauru Nauruan Nepal Nepalese Netherlands 68 67 8/8/2018 Dutch New Zealand New Zealander Kiwi Nicaragua Nicaraguan Niger Nigirien Nigeria Nigerian North Korea North Korean Norway Norwegian Oman Omani Pakistan Pakistani Palau Palauan Palestine Palestinian Panama Panamanian Papua New Guinea 69 68 8/8/2018 Papua New Guinean Paraguay Paraguayan Guaraní Peru Peruvian Philippines Filipino Filipina Pinoy Pinay Philippine Poland Polish Portugal Portugese Qatar Qatari Romania Romanian Russia Russian Rwanda Rwandan Saint Kitts and Nevis 70 69 8/8/2018 Nevisian Kittian Saint Lucia Saint Lucian Saint Vincent and the Grenadines Vincy Vincentian Samoa Samoan San Marino Sammarinese Sao Tomean Santomean Sao Tome and Principe Saudi Arabia Arabian Saudi Senegal Senegalese Serbia Serbian Seychelles Seychellois Seychelloise Seselwa 71 70 8/8/2018 Sierra Leone Sierra Leonean Singapore Singaporean Slovakia Slovakian Slovenia Slovenian Solomon Islands Solomon Islander Somalia Somalian South Africa South African South Korea South Korean South Sudan Spain Spanish Sri Lanka Sri Lankan Sudan Suriname Sweden Swedish Switzerland Swiss 72 71 8/8/2018 Syria Syrian Taiwan Taiwanese Tajikistan Tajikistani Tanzania Tanzanian Thailand Thai Siamese Timor-Leste East Timor Timorese East Timorese Maubere Togo Togolese Tongan Tonga Trinidad and Tobago Trini Trinidadian Tunisia Tunisian Turkey 73 72 8/8/2018 Turkish Turkmenistan Turkmen Tuvalu Tuvaluan Uganda Ugandan Ukraine Ukrainian United Arab Emirates Emirati UAE United Kingdom UK British Briton United States of America American Uruguay Uruguayan Uzbekistan Uzbek Vanuatu Ni-Vanuatu Vatican City 74 73 8/8/2018 Holy See Venezuela Venezuelan Vietnam Vietnamese Yemen Yemeni Yemenite Zambia Zambian Zimbabwe Zimbabwean Zimbo Scotland Scottish Scots Wales Welsh England English Northern Ireland Spaniard Macau Hong Kong Macanese 75 74 8/8/2018 Hongkonger Hong Kongese 76 75 8/9/2018 malfunction malfunctions malfunctioning malfunctioned ashame ashamed ashames ashaming seppuku seppukus 77 76 8/10/2018 draft drafted drafting drafts drafter drafters sub subscribe subscribing subscription subscriptions subs subscribes subscribed 78 77 8/10/2018 mess messier messiest mess messed messing 79 78 8/11/2018 wood woods wooden woody wooding wooded wooder woodest neon neons 80 79 8/11/2018 beta betas clap clapped clapping clapper 81 80 8/12/2018 karate weeaboos weeaboo squirrtle squirrtles 82 81 8/12/2018 chickpea chickpeas asian asians black blacks blacker blacking blacked white whites whiter whiting whited indian indians 83 82 8/12/2018 soup soups souped souping 84 83 8/12/2018 stromboli strombolis cannoli cannolis avocado avocados avacado avacados 85 84 8/13/2018 gym gymnasium gyms gyming gymed gymnasia gymnasiums tour tours touring toured concert concerts concerting concerted conterts conterting 86 85 8/13/2018 balls baller balled ball balling forbidden forbiddened schools school schooled schooled 87 86 8/14/2018 I me you he him she her it we us you they them 88 87 8/22/2018 flow flower flowed flowing flows rider riders riding 89 88 8/22/2018 yeet yeeted yeeter yite mint minty mints minter 90 89 8/23/2018 cancer cancerous cancered two 2 91 90 8/23/2018 death deathly deathed deathy deaths 92 blueberry blueberries 93 algae alga algaes nile fleet fleets fleeting fleeted fleeter fleetest 94 tap taps tapping tapped tappings traffic traffics trafficking trafficked sentry sentries 95 stamina station stations stationing stationed certificate certificates certificating certificated 96 search searches searching searched park parks parking parked radar radars radaring radared 97 sow sows swine sowing sowed sown theatre theatres 98 shorting shorted shortest curl curls curling curled pea peas 99 microscope microscopes microscopic microscoping microscoped microscopically relative relatives relatively straw straws strawing strawed 100 sneeze sneezes sneezing sneezed prairie prairies estate estates 101 florist florists formula formulae formulas formulæ cape capes caping caped 102 tender tenderer tenderest tenders tendering tendered stretch stretchs stretching stretched stretches enhance enhances enhancing enhanced 103 center centers centering centered centre centres centreing centring centred background backgrounds backgrounding backgrounded earthflax 104 crown crowns crowning crowned rage rages raging raged monster monsters monstering monstered 105 definite definites indefinite stay stays staying stayed stayer stayest candle candles candling candled 106 senior seniors censorship censorships exhibition exhibitions exhibitionist 107 comprehensive comprehensives comprehensiveness comprehensively comprehensivization comprehensiveize depend depends depending depended projection projections 108 demonstrator demonstrators sea seas personality personalities 109 110
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2015.11.07 11:24 alwayzsuspicious Chinese Interracial Hong Kong, Taiwan and Singapore

When analysed by sex, it is observed that there were marked differences in the distribution of the ethnicity of the spouse between males and females. 24.4% of the male now married ethnic minorities were not of the same ethnicity as their spouse, smaller than that of females (29.6%). Besides, some 14% of males had Chinese spouse while the proportion for females was higher at about 21%. This might be due to more female ethnic minorities coming to Hong Kong to join their Chinese husband.
http://i.imgur.com/wrScmeH.png
http://i.imgur.com/KjG0h61.png
Source
There are more foreign females with a Chinese husband than foreign men with a Chinese wife in Hong Kong. For foreign males, Chinese spouse is highest for the groups White (25.7%, Thai (21.9%) and Japanese (19.8%) Lowest for Korean (5.9%), Pakistani (5.8%), Filipino (3.1%), Indian (2.7%) and Nepalese (2.2%). For foreign females, Chinese spouse is highest for the following groups Thai (85.8%), Indonesian (57.4%), Japanese (22.7%), Filipino (21.8%), and Korean (20.8%). Lowest for Indian (1.1%), Pakistani (.5%) and Nepalese (.3%).
A total of 39,071 marriages were registered in Taiwan in the first three months of the year, with nearly 13% being cross-national unions, according to figures released by the Interior Ministry on Saturday.
The statistics for cross-national marriages in the first quarter showed that 67.3% of the brides were from mainland China, Hong Kong and Macau; 19.2% from Vietnam; and 3.9% from Indonesia.
Nationals from mainland China, Hong Kong and Macau also accounted for the highest percentage of grooms (25.4%), followed by Americans (14.1%) and Japanese (13.3%), the data showed.
Source
Cross national unions accounted for 13% in Taiwan. The foreign grooms were mostly from Asia, with nationals from China, Hong Kong and Macau almost double of second place Americans.
A total of 74,802 couples in Taiwan tied the knot in the first half of this year, with 13.1 percent of them between a Taiwanese and a person from another country, the Ministry of the Interior said in a report released Sunday
The report showed that 44.9 percent of the cross-border marriages involved unions between Taiwanese and spouses from China, Hong Kong and Macau, while 31.8 percent were between Taiwanese and spouses from Southeast Asia. According to MOI statistics, 54.5 percent of the Taiwanese men who married non-Taiwanese in the first half of the year wedded women from China, Hong Kong and Macau, while 25.4 percent married Vietnamese wives, and 4.6 percent tied the knot with Indonesian women. In the same period, 16 percent of the Taiwanese women who wed non-Taiwanese citizens married men from China, Hong Kong and Macau, 13.2 percent tied the knot with Japanese men, and 12.4 percent wed Americans, the statistics showed.
Source
Unions between Taiwanese and Chinese, 44.9%. Unions between Taiwanese and SEA, 31.8%. Taiwanese men marry Chinese first, SEA second. Taiwanese women marry Chinese first, Japanese second, Americans third.
almost 1,000 Singaporean members of dating agency Lunch Actually, 92.5 per cent would rather not date people of other ethnicities.
This is a higher proportion than 89.6 per cent of the agency's members in Hong Kong, and 76.6 per cent of those in Malaysia
Altogether, the data analysed was from close to 3,000 of the agency's members in the three territories.
Lunch Actually CEO Violet Lim, 34, theorises the results may be because most of the agency's Singaporean clientele are Chinese.
L"Social conditioning and family expectations may lead to them to prefer to date other Chinese people first," she said. "It's not necessarily that they're not open to dating other races, but the people who join our dating agency are generally looking to settle down and have to think about factors such as finding somebody their family might approve of.
Source
http://i.imgur.com/uD5IZmf.png
Source
Interethnic marriages in Singapore, 2013. 47.4% was a Chinese groom and "others". Chinese bride accounted for 20.1% of interethnic marriages.
David Bond
http://i.imgur.com/MEonOmp.jpg
http://i.imgur.com/UJhfWcX.jpg
so called "stealing boyfriend"
hundreds of strippers, lap dancers and prostitutes, mostly from across South-East Asia
Source
British banker charged with murdering two women
The victims, both Indonesian, were named by local media as Jesse Lorena, 32, and Sumarti Ningshi, 25.
Source
Banker in Hong Kong murder case reportedly devastated after fiancee cheated on him
As recently as Oct. 15, Jutting had posted a picture on Facebook apparently of the glass-and-steel balcony where Ningsih's body was found in a suitcase. All the friends "liking" the photo were young Asian women, mostly with Filipino names.
Source
For the Southeast Asian women working in Wan Chai, stints on the strip help bring in extra income on top of day jobs as maids and nannies, he said.
Source
Wan Chai – where Rurik Jutting is thought to have picked up £200-a-night prostitutes – is Hong Kong's notorious red light district.
Just two blocks away from his apartment, hundreds of bars and clubs are teeming with mainly south-east Asian sex workers, who offer 'lady drinks' to potential customers before discreetly negotiating prices for sex.
Robberies and money-laundering are also rife and Chinese gangsters are said to run many of the bars.
Source
Many of the sex workers in Wan Chai are freelancers. They are not attached to a particular bar or area.
Indonesian and Filipino women arrive in Hong Kong as tourists on 30-day visas. Vietnamese women vanished from the sex trade a couple of years ago when Hong Kong’s government restricted them to just seven days – too little time to earn back the air fare.
A nearby block is home to eastern European sex workers who service wealthy Hong Kong Chinese clients.
Source
The Wan Chai area where Jutting lived is highly diverse. Fashionable restaurants and expensive apartment buildings are found in its southern quarter, but just a block or two north, sex workers from all over Southeast Asia and parts of Africa ply their trade, working on street corners or out of Lockhart Road’s notorious bars and dance clubs.
Source
What has observers worried is the 'underground' sex industry - the tens of thousands of women from the mainland, Philippines, Thailand and elsewhere who walk the city's streets or cram discos, nightclubs and karaoke bars in search of paying customers. Some have been trafficked here, while others have made their way along the well-worn routes of word-of-mouth.
As these women are usually in Hong Kong on tourist visas, what they are doing is illegal. Police make regular checks of entertainment districts and arrest thousands a year for soliciting or visa violations, but the majority evade the checks: a young foreign woman in a disco with a valid tourist visa in her passport could be there for the entertainment.
The lack of a clear definition means untold numbers of foreign women are passing through the airport each year to work as prostitutes. Most have had their trips organised by people they call their 'manager', who takes a cut of their earnings and keeps them under close scrutiny during their stay. Often they don't know the real nature of their work until they arrive. Nonetheless, most work willingly - the money they can make in a short period is too much of an incentive.
Source
But the red-light zone, mainly centred on east-west Lockhart Road, has persisted and is a magnet for wealthy male expats and Western tourists.
Largely Filipina, Thai, Vietnamese and Indonesian, the majority of those working out of the bars are looking for a way out of grinding poverty back home -- and are attracted to Hong Kong because of its comparative safety.
Source
Officers arrested nine Filipinas in an early morning raid in the southern Chinese city’s Wan Chai red light district, according to a police statement.
Many of Hong Kong’s sex workers are women from Southeast Asia and mainland China who enter the territory on tourist visas in the hope of making some money.
Source
Thailand and Philippines
Another major aspect of this trade is migrant sex workers. These sex workers are particularly visible in the Wan Chai district, catering mainly to Western businessmen and tourists. The sex workers operating in this area are predominantly Thai (including transsexuals) and Filipino. Many work on a freelance basis in Wan Chai bars and discothèques.
There are several NGOs that work closely with sex workers in Hong Kong; these include Ziteng and Aids Concern. Ziteng campaigns for changes in the law, in particular the overturn of ban on brothels with more than one prostitute, since this prevents sex workers banding together for protection.
Many migrant sex workers arrive on a short tourist visa and try to make as much as money as possible by prostituting illegally before leaving Hong Kong, some returning frequently. There are also "underground" organisations (such as Thai restaurants and escort bars) that arrange for foreign (usually Thai) and mainland girls to gain work in Hong Kong legally with an entertainment visa, but in fact they actually work in go-go bars in Wan Chai or other hostess clubs around Hong Kong.[44]
Russia and East Europe
In recent years, prostitutes from Eastern Europe and Russia have also came to Hong Kong.[7] Fake contracts, often for domestic service, facilitate trafficking in Hong Kong where a large number of East European women are also trafficked for prostitution purposes.[45]
Mainland China
Despite the more visible presence of Thai and Filipino sex workers in Hong Kong, the majority of migrant sex workers who come to Hong Kong are from mainland China. It is reported that with RMB10,000–20,000, mainland Chinese girls would normally secure a three-month visa.[citation needed] Other frequent or previously deported visitors might experience tight visa requirements and would normally obtain only seven-day visas.[46] Owing to the short stays and other expensive costs (to pay for the travel arrangements and cover the high cost of renting apartments, advertising etc. in Hong Kong), sex workers would exert all their energy and work from morning till night during their seven-day stay. The necessity to make money quickly also means that the sex workers are more likely to take risks.[47] The advent of the Two-way Permit and relaxation of restrictions on mainlanders to visit Hong Kong has continued to fuel the supply of workers from the mainland, even though working would be in theory a violation of the visa conditions.[48]
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Brits go mad in Hong Kong’s Magaluf Expat antics horrify straitlaced Chinese
As a result many flood the bars of party strip Lan Kwai Fong or “red-light district” Wan Chai.
“The clubs are really expensive. It’s like England. They’re all Westerners inside.
“Then there’s the prostitution side. There are call girls from all over Asia, Thailand, Korea, Indonesia — they all know Hong Kong’s where they can make the most money.”
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Lap dancers, prostitutes, clubs that cater to foreigners are not native Hong Kongers. As opposed to
So Mei decided to become a sole operator in a one-woman brothel in Sham Shui Po, servicing mainly Chinese clients.
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Dozens of foreign businessmen have been drugged and robbed by prostitutes in Hong Kong.
Police are also investigating the deaths of two American men who may have been poisoned by sex workers.
The men's bodies were discovered the next day by cleaning staff at the Grand Hyatt hotel, in the the red-light Wan Chai district.
The area has many nightclubs where men can find Filipino, Indonesian and mainland Chinese prostitutes.
Although prostitution is legal in Hong Kong, many of the women are illegal immigrants from mainland China, the Philippines, Indonesia and Thailand.
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Male tourists to Hong Kong are being targeted by sex workers who rob them after lacing their drinks with drugs, police say
In most cases the victims are approached by sex workers in bars. Some claim to remember very little and only notice unexplained cash withdrawals from ATMs later when they receive bank statements.
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They didn't even get to have sex, just get drugged and robbed.
Although the Filipinas in Hong Kong come from poor families, over half have college degrees.
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There was also a huge push factor for Filipinos to go overseas. The Philippines is a poverty-ridden country where university graduates in the Philippines on average earn less than maids in Hong Kong. Many maids in Hong Kong are educated, hold college degrees, and speak English, making them a popular choice for Hong Kongers.
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To obtain a work visa in Hong Kong, you need some amount of higher education. This means that surprisingly, many Filipino domestic helpers have degrees and an almost perfect command of the English language.
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Filipinas in Hong Kong are well educated.
The majority of migrant sex workers in Hong Kong are from the mainland, while a smaller proportion are from Thailand, the Philippines and Indonesia, according to Zi Teng. A much smaller proportion hail from African and eastern European countries, and even fewer are locally born Hong Kong women.
Prostitutes in Wan Chai, many of whom are from the Philippines, are known to be informally enlisted by some bar owners to entice customers.
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