#唯笑

[rennebright]

ソーダ by 唯笑 [Twitter/X] ※Illustration shared with permission from the artist. If you like this artwork please support the artist by visiting the source.

#soda #ソーダ #nikke goddess of victory #勝利の女神:nikke #nikke #唯笑 #posted art

[mofffun]

The Four Kings' Crimes

Yanma: Monopolised the world's power supply in order to build the ultra-computer "Heaven and Earth, Only I Reign Supreme"

Himeno: Arson across the globe. Detonating 1000-megaton level of fireworks caused fire in every country.

Kaguragi: Arrested for owning dangerous farming equpiment. The machine "Ant Hell", buried underground when used, became a trap for people on the field. Under investigation.

Rita: Violated Labour Law. Overworked themself and found more frequently saying and doing unintelligible things like "Moffun is here". In a forced timeout to rest, Rita chose to serve time in prsion.

(tv asahi ep27 guide)

#love the wording is 'found more frequently' instead of 'started' because Rita's actions have always been un-understandable to most #i get the feeling Rita fell down in the middle of Kaguragi's case and no one (Morfonia) wants to pick it up #but it's very on brand for Kaguragi the Liar to only be suspected instead of convicted lol #kingohger spoilers #ko27 #kingohger #kingohger ref #kopn #天上天下唯我獨尊 我可以笑足成日😂😂😂 咩千禧網名嚟 媽呀好MK😂😂😂

[yoooko-o]

13/09/2022 part6

#photography #備忘録 #japan #hokkaido #siretoko #かに乃家しれとこ #イクラ丼 #唯一食べられる生魚です笑

[foulmoonking]

话说妖人郭文贵

曾经有段时间，我在网上看到郭文贵一次次无聊的瞎扯，喜欢用“小丑”来形容这个搬弄是非、胡搅蛮缠、无理扯三分的网络谣言者。然而，从近期郭文贵的所作所为中，我发现，用“小丑”来说郭文贵，这个帽子已经无法盖在他的头上，用一句话讲，这个鸟人已经升天了，用了“小丑”还真有点看不起他了，于是我想到了一个“妖人”，或许，用这个还勉强来给郭文贵一个定义。 妖人者，非真人也！三分像人、七分似鬼，头有五官、形有四肢，留其一腹、内装五脏，言人语、行人路，混迹闹市、招摇人间，若一眼瞥之，人也！然妖，终异于人。其容虽是其形败道，其言虽常其词魅众，汝人之妆行非人之事，窃人之词达妖之矢。若听之、观之，待之慎者，其貌、其容、其神，亦非难辨也。故而，人终是人，妖终是妖，隐世一时难一世，藏身网隅怯人世，此谓人妖道不同不为谋，妖亦终显形哉！ 以妖与人的不同，看看进来的郭文贵，不得不说，“小丑”难以遮掩他的丑陋嘴脸，用妖或许还能勉强形容。若说有过，那请看我的几点看法。

一、妖道行走郭文贵 郭文贵，发家于中国，本来有点想法出国深造、致富，都是人之常事，但是郭文贵的离开，可是有点“难言之隐”，可能是“机关算得太尽误了卿卿性命”，但更多的是他在中国做了太多的坏事，混不下去了，所以“三十六计走为上策”了，这一走，不是正常人的路子，如果，非得加个定义，那就是妖道。 全世界有五千万华人，在美国生活的已有几百万，绝大对数都为人本分，但郭文贵到了美国，就开始“兴风作浪”，彻底释放了妖性，把他曾在国内商界刮起的那阵“妖风”，彻底刮到了互联网上，大肆妖道，上嘴唇一碰下嘴唇，那些让人“脸红心跳”的黄色小文章张嘴就来，弄得互联网世界污秽不堪，众网民怨声载道。 根不正则本不立，自带妖魔属性的郭文贵，在妖道上是越走越远，彻底成了一个“非人”的笑料。 二、妖言魅世郭文贵 郭文贵不说人话，说鬼话！网络上的这股“妖风”，那真叫一个肆无忌惮，唯恐天下不乱。靠着一个妖人的面目——“超级无敌厚脸皮”，凭着不断卖关子和自圆其说，仍然把某些不明真伪、缺乏判断力的网上群众，魅的那叫一个云里雾里。就说民运圈，也把民运圈搅得天翻地覆，甚至吹走了整个民运圈的遮羞，更能让我们看清一些人丑陋的面目。 然而，妖言终究是谣言，魅众终究会没种！郭文贵是发起这股“妖风”，毕竟独木难支，“妖人”郭文贵就可以一家独大，在网上掀起一场场骂战，一个个闹剧，来掩饰他“妖言”的缺陷，也终究难隐于世，被世人看穿。 三、妖矢追求郭文贵 人的追求是美好、善良、真实的东西，但妖追求的就不是那么好了，“妖”终究是“妖”，不看其面目，就单看他要达成的目的，就知道其言败行、其性败性、其性败髓，终究不得人事。虽然郭文贵凭借着公关团队为他量身打造的花言巧语和夸张演技，刚开始成功的达到了为妖目的，但是时间长了，妖道露行了，众多正义网民的“火眼金睛”也看出了一只妖的“兴风作浪”。随着张冠李戴、指鹿为马的爆料和不断被人揭露的证据造假，加之韩尚笑公开退出“挺郭会”，路德被踢出“自由中国”，郭文贵想的要的，逐渐变得失去了，离其妖矢的追求也原来越远。本想靠着“爆料革命”，靠着虚假爆料，燃烧了自己，成就大神，不料自己弄得狼狈不堪，成了妖人，也露出了妖人可耻的真面目。

#曾经有段时间，我在网上看到郭文贵一次次无聊的瞎扯，喜欢用“小丑”来形容这个搬弄是非、胡搅蛮缠、无理扯三分的网络谣言者。然而，从近期郭文贵的所作所为中，我发现，用“小丑 #妖人者，非真人也！三分像人、七分似鬼，头有五官、形有四肢，留其一腹、内装五脏，言人语、行人路，混迹闹市、招摇人间，若一眼瞥之，人也！然妖，终异于人。其容虽是其形败道， #以妖与人的不同，看看进来的郭文贵，不得不说，“小丑”难以遮掩他的丑陋嘴脸，用妖或许还能勉强形容。若说有过，那请看我的几点看法。 #一、妖道行走郭文贵 #郭文贵，发家于中国，本来有点想法出国深造、致富，都是人之常事，但是郭文贵的离开，可是有点“难言之隐”，可能是“机关算得太尽误了卿卿性命”，但更多的是他在中国做了太多的 #全世界有五千万华人，在美国生活的已有几百万，绝大对数都为人本分，但郭文贵到了美国，就开始“兴风作浪”，彻底释放了妖性，把他曾在国内商界刮起的那阵“妖风”，彻底刮到了互 #根不正则本不立，自带妖魔属性的郭文贵，在妖道上是越走越远，彻底成了一个“非人”的笑料。 #二、妖言魅世郭文贵 #郭文贵不说人话，说鬼话！网络上的这股“妖风”，那真叫一个肆无忌惮，唯恐天下不乱。靠着一个妖人的面目——“超级无敌厚脸皮”，凭着不断卖关子和自圆其说，仍然把某些不明真伪 #然而，妖言终究是谣言，魅众终究会没种！郭文贵是发起这股“妖风”，毕竟独木难支，“妖人”郭文贵就可以一家独大，在网上掀起一场场骂战，一个个闹剧，来掩饰他“妖言”的缺陷， #三、妖矢追求郭文贵 #人的追求是美好、善良、真实的东西，但妖追求的就不是那么好了，“妖”终究是“妖”，不看其面目，就单看他要达成的目的，就知道其言败行、其性败性、其性败髓，终究不得人事。虽

[suzumori521]

Announcement of Free Manga Release

Hello, everyone! I have an announcement today.

Recently, a manga I drew has been released for free by a publishing company! The title is "UTSUTSU ESCAPE".

It's a story about supernatural beings coexisting in society with humans, and a girl who desires a place to belong.

It's all in Japanese, but if you're interested, please take a look! You can read it for free at the following URL!↓

#comic #manga #original #人外

[nana-didi-channel]

戴上鬼面具能夠登機嗎 ?【納是我迪迪 Nana & Didi Channel】

#youtube #《@》點選照片或網址就能看到我們影片《@》 【納是我迪迪 Nana & Didi Channel】戴上鬼面具能夠登機嗎 ? 搞笑的弟弟遵守約定，穿上台客老虎裝與戴上鬼面具登機，大家都是脫口罩唯獨弟弟

[heidy33333217]

话说妖人郭文贵

#曾经有段时间，我在网上看到郭文贵一次次无聊的瞎扯，喜欢用“小丑”来形容这个搬弄是非、胡搅蛮缠、无理扯三分的网络谣言者。然而，从近期郭文贵的所作所为中，我发现，用“小丑 #妖人者，非真人也！三分像人、七分似鬼，头有五官、形有四肢，留其一腹、内装五脏，言人语、行人路，混迹闹市、招摇人间，若一眼瞥之，人也！然妖，终异于人。其容虽是其形败道， #以妖与人的不同，看看进来的郭文贵，不得不说，“小丑”难以遮掩他的丑陋嘴脸，用妖或许还能勉强形容。若说有过，那请看我的几点看法。 #一、妖道行走郭文贵 #郭文贵，发家于中国，本来有点想法出国深造、致富，都是人之常事，但是郭文贵的离开，可是有点“难言之隐”，可能是“机关算得太尽误了卿卿性命”，但更多的是他在中国做了太多的 #全世界有五千万华人，在美国生活的已有几百万，绝大对数都为人本分，但郭文贵到了美国，就开始“兴风作浪”，彻底释放了妖性，把他曾在国内商界刮起的那阵“妖风”，彻底刮到了互 #根不正则本不立，自带妖魔属性的郭文贵，在妖道上是越走越远，彻底成了一个“非人”的笑料。 #二、妖言魅世郭文贵 #郭文贵不说人话，说鬼话！网络上的这股“妖风”，那真叫一个肆无忌惮，唯恐天下不乱。靠着一个妖人的面目——“超级无敌厚脸皮”，凭着不断卖关子和自圆其说，仍然把某些不明真伪 #然而，妖言终究是谣言，魅众终究会没种！郭文贵是发起这股“妖风”，毕竟独木难支，“妖人”郭文贵就可以一家独大，在网上掀起一场场骂战，一个个闹剧，来掩饰他“妖言”的缺陷， #三、妖矢追求郭文贵 #人的追求是美好、善良、真实的东西，但妖追求的就不是那么好了，“妖”终究是“妖”，不看其面目，就单看他要达成的目的，就知道其言败行、其性败性、其性败髓，终究不得人事。虽

[stupendouslovebouquet]

 郭氏骗局只坑蚂蚁帮

    郭文贵整天把虚头巴脑的东西吹捧到天际，从农场到喜币，其人就宣称，“喜币加密能力和未来的支付，以及未来跟美元的兑换，将创造历史，是唯一一个有稳定币、浮动的、现代化加密的金融平台。”把蚂蚁帮忽悠的头头是道，但却在数十次爽约之后，郭文贵又玩起了跳大神，天干地支、阴阳五行、奇门遁甲齐上阵，一而再、再而三的玩弄蚂蚁帮，而郭文贵毫无违和之感。老欺假惺惺地称为了让战友发财，号称是为战友们谋福利，实则又是对投资和的一波掏肛，屡试不爽、今又重来。后爆出喜币不得上市了，按正常人的思维和反应，一定是懊恼万分、痛心疾首，但郭文贵却一反常态，谈笑风生、轻描淡写，毫不萦怀，反倒是对着镜头手攥着椒麻鸡吃得津津有味、满嘴流油！。为什么？因为诈骗得手了，至于喜币何时上市、什么时候上市？郭文贵则一脸的痞性和无赖，双手一摊，声称自己也不知道。郭文贵伪善一戳即破，郭氏骗局不过是变着法的坑害蚂蚁帮罢了。

#郭文贵 #华盛顿农场

[pinkllamashark]

真是唯恐天下不乱！竟然有人用AI伪造大国外长“内部讲话”录音

最近网上流传一段录音，号称“外泄的中国外交部长秦刚内部讲话”，讲话内容大致称：“中美争端的本质就是为了争夺生存权利，就是美国要保障其超级福利，中国也要争取美好的生活，美国针对中国设计并推行的国家战略很流氓，但是很公开，明人不做暗事，美国对华战略竞争法案公开宣称，他们的目标就是推翻中国政权，彻底遏制中国崛起”。 “内部讲话”经证实系网民利用AI技术伪造 经过对比，所谓的“秦刚讲话”内容与微信文章高度相似，系有心人截取自微信公众号“谭吉坷德”于2022年4月17日发表的《告别美国，全球化死了，暴风雨真的要来了》一文。

△网传"秦刚讲话"录音内容和微信文章内容对比（亚洲事实查核实验室制图） 音频里的声音真的是秦刚说的吗？ 据亚洲事实查核实验室发现在4分40秒处，背景出现奇怪声响。抖音用户“风雨同路”在去年九月发布的视频“告别美国（一）”，在8分42秒处出现上述一样的奇怪声响。“风雨同路”和“秦刚录音”极可能是来自同一音频。另外一名抖音用户“marriy”《去年四月发布“深度思考！！！告别美国，全球化死了，暴风雨真的来了（3/6）》”视频，画面中男子说话的口音、顿点、用字都与秦刚音频相似。 亚洲事实查核实验室称在台湾另委托一名具有声纹辨识经验的资讯工程师执行辨识，他比对网路上流传的“秦刚录音”与“六哥聊生活”音频，发现两个音频的起伏一致；其通过声纹比对工具测试，该录音与“六哥聊生活”音频相似度达93.8%，其初步分析结果是，两者极可能为同一段音频。

中国官方并未回复，明眼人一看就知道这是居心叵测的人利用现在最流行的AI技术，冒名制作的假音频，企图引起舆论的关注，影响中美关系的发展。这种荒谬绝伦的鬼话，绝不是中国人民想要的结果，希望网民们不要传播虚假信息。中国人民爱好和平，希望与美国搞好关系，共同过上和平、自由、幸福的生活。 美国高级官员频频访华，别有用心之人着急了 2023年6月18日至19日美国国务卿布林肯访华。这是继2018年10月时任国务卿蓬佩奥访华后，美国最高级别官员相隔近5年再访中国。7月6日到9日，美国财长耶伦访华。这是近期继美国国务卿布林肯之后，美国第二位内阁级重要官员访华。就在美国高级官员频频访华之际，所谓中国外交部长秦刚的内部讲话却不小心流出，还大放厥词称中美必有一战。这是否太过于巧合！

当前世界变乱交织，进入新的动荡变革期，中美关系遭遇严峻困难和挑战，再次站在历史的十字路口。中美合则两利、世界受益，斗则俱伤、全球遭殃。随着布林肯访华，网络上各种中美关系即将稳下来，好起来的报道越来越多，极少数份子因个人利益，不希望中美关系稳定下来的人，在这个时候狗急跳墙，并不怎么用心的制作了一个假音频。 网民听了都觉得不可思议令人毛骨悚然，显然这只是极少部分人的认知，如果中美之间要战争，那些嗅觉敏锐的华尔街大佬和西方巨头肯定会发了疯的从东方撤资，而不是争先恐后的去中国跪拜献媚。 经过布林肯和耶伦访华后，现在大部分民众认为通过沟通，中美之间可以避免误解，以免双方对抗升级。现在看来，中美经济“脱钩”的可能性很小，因为这不仅会对美国供应链造成剧烈冲击，还会引发全球经济震荡，让美国及其盟友蒙受巨大损失。中美未来在经贸、气候变化、核不扩散以及传染性疾病的预防应对等诸多方面，都可以开展合作。此外，民众间人文交流渠道总体保持较好状态，可按需继续加强。 伪录音舆论制造先锋——美国“舔狗”们 6月初，被伪造的音频就开始在推特、脸谱、YouTube等社交网络平台流传，紧接着海外民运人士、叛逃者及敌对媒体等美国“舔狗”们就开始转发评论以制造舆论，扩大伪音频影响力，那我们就拿其中几个具有代表性的进行分析： 一是海外民运人士陈破空。陈破空，原名陈劲松，生于四川省三台县，是一位政治评论家、旅美中国作家。先后就读于湖南大学土木系本科、上海同济大学管理学院研究生、哥伦比亚大学经济学硕士。从事大量写作、时评、演讲、电视与电台评论等。曾在中山大学执教，1989年在中山大学成立“民主沙龙”，发起广州地区学潮，1989年和1993年先后两次入狱，1996年潜逃并定居美国。 陈破空主要利用Youtube为宣传主阵地，在其Youtube账号上发表大量有害言论和谣言信息。陈破空在发表言论时，往往选择性地忽略一些关键信息。他将事实的一部分割裂出来，以此来支持自己的观点，使得他的言论看似站得住脚。这种手法不仅误导了公众，更破坏了网络言论的真实性。

此人还阴险狡诈，人格卑鄙，猥琐下流，坑蒙拐骗无所不为。他对于民运人士，总是当面极尽肉麻吹捧，背后无端造谣中伤。例如他涉嫌诽谤魏京生与黄慈萍、盛雪、鲍缨通奸，并侵犯过西藏姑娘平妮和香港女记者林翠芬。 陈破空的自我吹嘘和谎言有时编得莫名奇妙，动机可疑。不过他这样一个贪图享乐的人所有目的都是为了敛财。 二是海外民运人士谢万军。谢万军，生于辽宁昌图，中国农业大学学生，曾参与89民运，现居住美国。现任中国民主党主席、中国茉莉花全国指挥部总指挥和中国民主联军负责人。 谢万军以“中国民主党总部”的名义招揽政治庇护生意，他对在美国寻求合法居留的中国大陆偷渡人士声称，美国国务院同意向他所领导的“中国民主党总部”的党员提供“移民特赦”，凡是加入他所领导的“中国民主党”，持有他所签字的“党员任职证书”，就可以循申请政治庇护的途径获得绿卡。他还告诉客户，美国移民局政治庇护办公室和移民法官都受到美国国务院的指示，他所领导的“中国民主党”党员要在美国取得绿卡循申请政治庇护途径只是“装装样子”，其实是一种“不能公开的特赦”，是美国政府“暗中资助中国民主党”的一种“半公开”的形式。

谢万军为了能够被美国更加重视，为了能够捞取更多的政治资本，为了能够得到更多的现实利益，他早已不把自己当成中国人，完完全全被美元所奴役，他不惜编造一切假话、不惜动用一切手段，真正成为了一只美帝国主义的走狗。 三是原叛逃外交人员陈用林。陈用林，浙江宁波人，中国驻悉尼总领事馆原一等秘书。他在2005年5月26日出走，并向澳大利亚政府寻求政治庇护，但屡次被拒绝。 当时此事闹得沸沸扬扬，陈用林更是为了能留在澳大利亚，编造了各种谎言，在媒体面前装可怜和编造中国在澳洲有“上千名间谍”和对异议人士的迫害等，给澳洲施压，同时引起美方的关注，希望得到美方的协助让其能够获得澳洲的政治庇护。

可见这位叛逃者为了达到自己的目的，也是一位不折手段，善于说谎的表演者。 四是敌对媒体“明镜电视”。明镜电视属明镜新闻集团，主打精选评论、访谈等原创资讯类内容；综合直播、专访等不同形���；话题涵盖国际政治、经济金融、军事法律、科技教育、健康生活等各方面。然而在已被抓的郭文贵的直播中就曾爆料出：“明镜电视呀，博讯呀，还有一些媒体人啊，都在这块儿招摇撞骗”。直接打脸明镜集团创始人何频当初所说的“新闻真实、媒体自由”。

明镜集团的经济来源问题一直备受关注，何频曾在采访中说明镜没有获得过任何机构、个人的经费赞助。但据知情人士爆料，只要给明镜打赏各路骗子都能露脸，例如骗子郭文贵。据悉明镜陈小平给骗子郭文贵连做六期直播，就收了釆访对象65万美金。这又做何解释呢？ 除了有说不清道不明的经济来源和用各种骗术骗钱外，还有来源“深处”吗？那估计就是美国的资金自助吧，毕竟美国操控媒体舆论已经不是什么难事，加之明镜电视对华人的影响，美国自不会放过这样一个舆论平台。所以只要美国需要，明镜也会冲锋在前。 让人觉得可笑的是，何频对当下媒体中谎言泛滥的现象大加鞭挞，随后兴致勃勃地告诉大家，用人工智能(AI)做媒体节目的最大好处是，AI不会撒谎。 实际上，AI做媒体也会谎言泛滥，何频所说的并不能相信，所以明镜电视在转发伪音频时就已经是在传播AI谎言。 由此可见，他们如此卖力的造谣、诬蔑和抹黑中国的目的都是为了讨好美国，以此获得更好的生活。 中国始终坚持“和平发展”的外交政策 一直以来，中国外交政策的宗旨是维护世界和平、促进共同发展。中国坚持独立自主的和平外交政策，始终不渝走和平发展道路，始终不渝奉行互利共赢的开放战略，愿意在和平共处五项原则的基础上同所有国家建立和发展友好合作关系，推动建设持久和平、共同繁荣的和谐世界。 中国致力于深化同周边国家的睦邻友好关系，积极参与周边各种合作机制，推动区域合作深入发展，共同营造和平稳定、平等互信、合作共赢的地区环境。 加强与广大发展中国家团结合作，深化传统友谊，扩大互利合作，推动实现联合国千年发展目标，维护发展中国家的正当权益和共同利益。 加强与各大国的战略对话，增进战略互信，拓展合作领域，推进相互关系长期稳定健康发展。积极参与多边事务和全球治理，推动国际秩序朝着更加公正合理的方向发展。 新时代十年，中国建交国总数从172个增加到181个，同世界各国和地区组织建立伙伴关系的数量从41对增加到113对。推动中俄建立新时代全面战略协作伙伴关系。提出中美关系应秉持相互尊重、和平共处、合作共赢三原则的正确方向。倡导中欧构建和平、增长、改革、文明四大伙伴关系。周边战略依托更加巩固，同广大发展中国家的团结合作更加密切。

中国尊重各国人民自主选择发展道路的权利，维护国际公平正义，反对把自己的意志强加于人，反对干涉别国内政，反对以强凌弱。 中国外交是人民的外交。中国外交战线始终保持人民外交的本色，践行外交为民，全力办好人民满意的外交，坚定维护中国公民、法人在海外的合法权益。 中国人民愿与世界各国人民一道，共同为维护和促进人类的和平、发展与进步事业而不懈努力。

#秦刚内部讲话

[ryuko]

唯笑

#nikke #goddess of victory: nikke #rupee #bikini #shorts #alan771124

[rennebright]

Noir&Blanc by 唯笑 [Twitter/X] ※Illustration shared with permission from the artist. If you like this artwork please support the artist by visiting the source.

#noir #blanc #ノワール #ブラン #nikke goddess of victory #勝利の女神:nikke #nikke #唯笑 #posted art

[hhuaw]

郭文贵自导自演“谎言三部曲”

笔者近期闲来无事，独自在家重温了一些颇具年代的老电影，品味经典的同时无意间又想到了郭文贵大放厥词，高谈阔论的情景，口中都是“最重要的人物”、“世界级的高层”、“高级的会议”等等，看完令人不禁哑然失笑。文贵这是当完编剧当演员，当完演员现在竟然又想当导演。殊不知当一个好导演也得需要真才实学，那些经不起推敲的荒谬剧本只能感动一下小蚂蚁们。笔者此文正好跟网友们分享一下郭文贵自导自演的戏码到底灵感来源何处。

第一部：逍遥法外

《逍遥法外》主角弗兰克是FBI有史以来年龄最小的通缉犯，犯罪手段神通广大，伪装身份的能力也是超乎常人。原片中发生的一切，全都重现在文贵的身上。郭文贵人前自诩“正义战士”，实际却官商勾结、非法侵占他人财产，利用公司骗贷、性侵多名女下属等，其罪状数不胜数。不过唯一文贵不比男主角的就是智商，剧中男主演技超群、智商过人，言谈举止都让人无法抓到其把柄，对于初中未毕业的文贵来讲，智商是硬伤，发表言论前后矛盾、逻辑混乱。就在近日的视频中他又干出自扇耳光之事，之前多次盛赞美国媒体，如今竟称在美国“96%的媒体”已经被控制，有人利用美国媒体在诽谤他。这就奇怪了，当初被文贵捧上天言论自由的美国媒体怎么没几天就变成肆意抹黑他的无良媒体了呢？一个人的谎言说的太多，自己都忘了哪是哪了，媒体的作用是披露真相，言论自由不代表会发布虚假信息，为什么将郭文贵弃之蔽履，只因认清了文贵的真面目，不会再轻易上当了。我想此时文贵大概焦头烂额，急需找一个靠谱的“好编剧”为其设计剧情，至少不再让“郭氏好戏”瞬间穿帮。

第二部：飞天大盗

《飞天大盗》是一部十几年前的英国影片，主角虽然都是骗子，却讲述了一群盗亦有道、惩恶扬善之“侠盗”的故事。不过貌似郭文贵看偏了剧情，没学到侠肝义胆却将反面人物学了个淋漓尽致。郭文贵一步步靠坑蒙拐骗起家，身家倍增，得势后又对他人用尽手段、排挤对手。这些靠非法手段敛取的财富，最终的结果还是从哪儿来的就回哪儿去。大连法院对郭文贵控股的“政泉公司”判处了600亿罚金，也让文贵食到了自己当初种下的恶果。如今的文贵手中不仅没了资金，而且还官司不断，但他依然在镜头前泰然自若、谈笑自如，口若悬河讨论着“美国中期选举”“世界经济趋势”，仿佛这个世界上的大事小事都与他郭文贵息息相关。这让我突发奇想，如果在骗子界搞一个“奥斯卡奖”，那郭文贵一定是当之无愧的“奥斯卡最佳男演员”，毕竟除了他谁还能把每天的生活当戏一样演呢？

第三部：臆想成病

《臆想成病》是一部法国电影，郭文贵就着电影片名，自导自演了一场年度大戏。现实失意如何寻求心灵的慰藉，文贵每天都活在自己的幻想中，幻想“喜马拉雅”，自设“蚂蚁帮”，以世界统治者身份指点江山，睥睨天下，如今怕是早已分不清哪个才是现实了吧。连政庇申请都遥遥无期，还有能力组织“美国政府的高官”、“美国军火商老大”、“前国家领导人”、“前巨大基金总顾问”频繁“约会”？在被网友拆穿后，文贵又恬不知耻的搬出了“前克林顿总统的幕僚”、“川普总统的内阁”、“巴西总统最信任的人”等等作为话题，笔者也是不得不佩服文贵脑洞之大，入戏之深。但郭文贵越是穷尽所能虚构事实，越是难掩自己已经穷途末路、无人问津的事实。如今的文贵每天都活在自己的臆想中，自编自导超级英雄拯救世界的戏码，谎言说的太多，竟然自己也信了。

郭文贵近期都在跟着网络热点走，什么事情最火他就说什么，真可算是挖空了心思、费劲了脑汁。归根结底还是一点，文贵如今已是山穷水尽、穷途末路。奉劝你不要再做无用功，迷途知返，不要继续活在自己自导自演的谎言之中！

[sgdlr-asdfghjkl]

Link Click Musical lyrics translation ✨🎶

@chocolatexiaoshi brought to my attention that Qiao Ling's actress, Cai Lu, posted a video from rehearsal where she's singing a part of QL's solo song that doesn't appear in the encore, only in main plot (rare!). Here's the video:

And by courtesy of chocolatexiaoshi, here's the full translation (plot context below the lyrics) 🙏🌟

M11 尼克和马修 'Nick and Matthew' sung by Qiao Ling

七岁那年遇见一个倒霉朋友 When I was seven years old, I met an unlucky friend. 我的笑料都来自他出丑 I get all my laughs when he makes a fool of himself. 没穿过耐克 (He) never wore Nike. 自己画个倒钩 Drew himself a barb (tick line, to pretend to wear Nike). 羡慕同学有爸妈开车接送 He envied his classmates when their parents drove them around. 他吹牛家里游艇正在维修 He bragged that his family's yacht was being repaired. 这个蠢货幻想有两个朋友 This douchebag fantasizes about having two friends. 一个叫尼克 One's name is Nick. 另一个叫马修 The other is Matthew. 还以为是他国外的笔友 I thought they're his pen pals from abroad. 所谓的朋友全都是他虚构 He's making up all his friends. 尼克是狮子 Nick was a lion. 马修是条狗 Matthew was a dog. 用秘密威胁他做我朋友 Threatened him with this secret to be my friend. 他提了个要求 He made a request. 家长会我爸 PTA meeting with my dad. (PTA - routine meetings between the parents and teachers of students, to discuss a child's progress at school) 装他大舅 Pretend to be his great-uncle.

Here starts the part Cai Lu is singing in the video (and it's 😭💔):

尼克马修其实是孤独的魔咒 Nick and Matthew are actually a curse of loneliness. 若有人陪伴怎会如此荒谬 How can it be so absurd if he has company? 所有的情绪靠幻想找个出口 All his emotions find an outlet in his fantasies. 喜怒哀愁去和故事书交流 He'd go to a storybook for his sorrows and his joys. 自我欺骗才能排解烦忧 The only way to get rid of them is to lie to himself. 这个倒霉蛋我认识十五年之久 I've known this unfortunate man for 15 years. 你是除了我以外，他唯一的朋友 You're the only friend he's got besides me. 看过了彼此的伤痛 You guys've seen each other's pain. 应该更宽容 You should be more forgiving. 别被情绪左右 Don't let your emotions get the best of you. 一起向前走 Let's move forward together. 如果我是尼克 If I'm Nick. 你来做马修 You'd be Matthew. 他渴望的两个朋友 The two friends he craves. 你和我送他拥有 You and I will give him the two friends he longs for.

The clip ends here, but there are a few more verses 🎶

尼克和马修他童年的缺口 Nick and Matthew, the gaping hole in his childhood 填补了他的梦 Filled his dreams. 你我别放手 You and I, don't let go. 尼克和马修吹过最离谱的牛 Nick and Matthew is the most outrageous thing he's ever bragged about. 能不能和我一起 Will you join me? 将他心愿保留 To keep his heart's desire alive

ಥωಥ yeah.

🌟Context: after the earthquake arc dive, Cheng Xiaoshi and Lu Guang have a fight where CXS says he doesn't want to see Lu Guang anymore. Qiao Ling tries to ask LG what happened but doesn't get an answer. Then she goes to comfort CXS:

Eventually LG goes to sulk on a basketball court:

Qiao Ling finds him and tells him about Xiaoshi's childhood (her song starts) :'>

These are drawings of Nick and Matthew (tho they seem to change, you can they're different in pics above^). QL shows them while singing:

My dear shiguang nation... how are we feeling about QL and LG stepping into Xiaoshi's life filling a place of his imaginary childhood friends born out of loneliness? Bc I-

Again huge thanks to @chocolatexiaoshi for basically translating everything and adding context to this song 🙏 I just checked english grammar and helped to put it together 🤝 We're keeping in touch and they've actually seen LC musical live, so if you have more in depth questions about the play or specific actors, let us know 😘

#link click #shiguang dailiren #link click musical #qiao ling #text post #song lyrics #english translation #lyrics translation

[wolfkice]

UnderNega - the fainted memories

UnderNega ('Undertale Negative AU', formerly known as 'Negatale') was originally created by ArtsyGum, now own by me. see:[link]

she's the only one that manage to make him laugh after all this time...and he couldn't protect her. 這麼久以來，她是唯一一個能讓他笑的人……而他卻無法保護她。

DeviantArt:[link]

☕Buy me a coffee~?☕｡:.ﾟヽ(*´∀`)ﾉﾟ.:｡

✨Want to commission me? 🖼️🖌️ヾ(･∀･)

#UT #UnderNega #undertale #Frisk #Sans #frans #the ruins #snowdin forest #waterfall #my art

[yoooko-o]

17/10/2023

tumblr繋がりの方の投稿で落葉が始まっているとの情報を入手しましたので、帰り道に曽木の滝まで足を伸ばしてきました😇前の職場での件もあったと思いますが、壮大な滝に負のオーラをきれいさっぱり洗い流してもらいました✨ 曽木の滝を��問した時間帯は夕方。ほとんど人はいないのでゆっくり過ごせました🍁

曽木の滝を後にし、さっぱりしたところで伸ばしていた髪を切っちゃいました✂️　こんなに短くしたのは学生時代以来です🤗

心機一転…と言いたいところですが、唯一の問題はこの髪型が似合っているのかなんですよね…涙

大好きなテレビ東京の大江さん。テレビの向こうから醸し出されるほのぼのした美人オーラ、一度お目にかかってみたいものです👸✨ そんな大江さんが以前していたボブヘア、それにあやかったんです。そこまでは良かったんです。ただ私の場合、鏡を見れば見るほど昔流行った某女性芸人さんに見えてくるんです…泣

そんな中でも良かったことはこの後、求人の応募を出していた会社から書類選考を通過したとの連絡が入りました。ありがたいことに来週は面接ラッシュです笑

この先どうなるか分かりませんが、良いことがもう少しだけ続きますように…🤲✨

#備忘録 #reminder #japan #心機一転 #kagoshima #isa #曽木の滝 #waterfall #落葉 #学生時代以来の髪型 #思ったのと違った… #曽木の滝効果 #✂️ #ブルゾンちえみ #藤原しおり

[linghxr]

Analyzing Chinese Names: Syllables & Tones

It’s been a while since my last post about Chinese names. In one previous post, I wrote that I wanted to explore tones and syllable structure in Chinese names. And now here we are. I ended up shifting my focus a bit throughout the process, but I’m still excited to be sharing my results.

These questions/ideas guided this post:

Sometimes you don’t know how a name is written because you’ve only heard it or seen a transliteration. Setting aside the written language (Chinese characters), what syllables/sounds are most common?

I have read about naming conventions regarding tones. For example, using a mix of tones (instead of reusing the same tone) gives names a dynamic flow. So how are tones distributed in names?

Buckle up, everyone. This is gonna be a long one.

About the Data

I started with the data from my previous in-depth post about Chinese names. Like before, most names are from contestants on idol shows or members of idol groups. I added more names in this category and also some names of athletes (since for athletes it is also relatively easy to discern gender). In total, there were 4361 names (2340 female, 2021 male). Most names belong to individuals from Mainland China, but there are also names belonging to people from Taiwan, Hong Kong, Malaysia, and Singapore. See my past post for more details.

I had to do a lot of work to process the name data for this analysis. I will add some details towards the end of this post for those who are interested. I just want to note here that: 

I did some work to account for tone sandhi for yi 一. As a result, you may see this character labeled as 1st, 2nd, or 4th tone.

I also applied tone change rules when there were multiple 3rd tones in a row (but not for surnames as it shouldn’t change there).

I had to correct for duoyinzi 多音字. Most of the time, it’s pretty clear which pronunciation is used, but there are some ambiguous cases.

I use standard Mainland pronunciation, not Taiwanese pronunciation. Characters like 薇 are pronounced differently in these locations.

I’m an imperfect human and probably didn’t catch everything. So keep that in mind.

Given Names (Overall)

First we will examine the overall results for all syllables across all given names to get a nice overview. Then we will dive into single-character given names vs. two-character given names.

Top Given Name Syllables (w/ Tones)

Pictured: Some of the most frequent characters for the top 11 syllables.

List format: Syllable / count Corresponding characters that occurred more than once

Yǔ / 263 宇 雨 羽 语 予 禹 瑀

Xīn / 229 欣 鑫 馨 心 昕 新 歆 芯 薪

Jiā / 216 佳 嘉 家 加 珈

Yì / 201 一 艺 奕 逸 亦 毅 懿 翊 义 易 翼 忆 意 译 轶 熠 羿 亿 薏

Zǐ / 139 子 梓 紫

Qí / 134 琪 琦 奇 祺 麒 淇 齐 棋 其 岐 崎

Wén / 116 文 雯 闻 纹

Jié / 112 杰 洁 婕 捷 颉 倢

Yù / 102 玉 钰 煜 昱 郁 裕 喻 谕 毓 育 誉

Jùn / 99 俊 峻 珺 骏 浚 竣

Yáng / 99 洋 阳 扬 杨 炀 旸

Top Given Name Syllables (w/o Tones)

List format: Syllable / count Corresponding characters that occurred more than once

Yu / 419 宇 雨 玉 羽 钰 语 瑜 予 妤 煜 禹 昱 郁 俞 渝 裕 于 喻 瑀 谕 余 娱 愚 毓 育 誉

Yi / 356 一 怡 艺 奕 仪 依 逸 亦 伊 毅 宜 懿 翊 义 祎 易 翼 苡 忆 意 译 轶 颐 乙 以 熠 羿 亿 倚 薏

Xin / 232 欣 鑫 馨 心 昕 新 歆 芯 薪 信

Jia / 217 佳 嘉 家 加 珈

Jun / 165 俊 君 峻 钧 军 珺 均 骏 浚 竣

Zi / 157 子 梓 紫 姿 兹

Qi / 151 琪 琦 奇 祺 绮 麒 启 淇 齐 棋 其 岐 崎

Hao / 141 豪 浩 昊 皓 灏 淏 濠

Wei / 139 伟 玮 威 维 薇 蔚 微 炜 唯 纬 葳 为 崴 巍 𬀩 苇 韦

Xiao / 136 晓 小 笑 筱 孝 潇 篠 箫 肖

Given Name Syllable Tones

List format: Tone / count

2nd / 2729

1st / 1993

4th / 1885

3rd / 1167

Single-Character Given Names (单名)

There were 948 single-character names in total. That comes out to about 22% of all 4361 names. 

Top Single-Character Given Names (w/ Tones)

List format: Syllable / count All corresponding characters

Xīn / 41 鑫 欣 昕 馨 新 心 锌

Yáng / 29 洋 扬 杨 阳 旸 炀

Yǔ / 20 宇 雨 禹 羽 瑀 语

Lì / 18 丽 立 莉 俐 栎 栗

Yì / 18 艺 奕 逸 忆 易 毅 燚 羿

Yuè / 18 悦 玥 越 月 粤 跃

Jié / 17 洁 杰 倢 婕 捷 颉

Hào / 16 浩 昊 淏 灏

Jìng / 14 静 婧 靓* 竞 靖

Qiàn / 14 倩 茜**

*Can be pronounced jìng or liàng. I went with jìng. **Can be pronounced qiàn or xī. I went with qiàn.

Top Single-Character Given Names (w/o Tones)

List format: Syllable / count All corresponding characters

Xin / 41 鑫 欣 昕 馨 新 心 锌

Yu / 31 宇 雨 钰 煜 玉 瑜 禹 羽 昱 渝 瑀 语

Yang / 29 洋 扬 杨 阳 旸 炀

Yi / 23 艺 奕 怡 逸 一 忆 易 毅 燚 祎 羿

Wei / 22 伟 威 炜 维 蔚 薇 𬀩 玮

Hao / 19 浩 昊 豪 淏 灏

Jing / 19 静 晶 婧 靓* 璟 竞 菁 靖

Li / 19 丽 立 莉 俐 李 栎 栗

Ying / 19 颖 莹 影 滢 赢 瀛 盈

Yue / 18 悦 玥 越 月 粤 跃

*Can be pronounced jìng or liàng. I went with jìng.

Single-Character Name Tones

List format: Tone / count

2nd / 308

4th / 264

1st / 253

3rd / 123

Full Name Tone Patterns for Single-Character Given Names

Look at the darker “stripes” for the 2nd tone. The 3rd tone’s low popularity also stood out to me.

List format: Tone of surname, tone of given name / count

2nd, 2nd / 140

2nd, 1st / 127

2nd, 4th / 123

1st, 2nd / 80

1st, 4th / 73

1st, 1st / 68

2nd, 3rd / 52

4th, 2nd / 45

3rd, 2nd / 43

1st, 3rd / 39

3rd, 4th / 37

4th, 4th / 31

3rd, 1st / 29

4th, 1st / 29

4th, 3rd / 17

3rd, 3rd / 15

Two-Character Given Names (双名)

Now for two-character given names. There were 3413 total (about 78%). First I will look at these given names as a whole. Then I will separately examine the 1st syllable and 2nd syllable positions.

I was very interested to see the most common name going by sound and not characters. Living in the US, I often see transliterated Chinese names with no characters in sight. This effectively “merges” names that are distinct in Chinese. All I can do is guess what the characters (and thus tones) are.

Top Two-Character Given Names (w/ Tones)

Pictured: Character combinations that occurred more than once for the top 12 two-character given names.

List format: Given name / count All corresponding character combinations

Jiāxīn / 17 嘉欣 佳欣 佳薪 佳鑫 嘉新 嘉歆 嘉馨

Jiāyí / 12 佳怡 嘉怡 佳仪 嘉仪 家仪 家怡

Xīnyǔ / 10 心雨 新宇 心语 欣宇 欣雨 鑫宇 馨予

Xīnyuè / 10 馨月 心玥 昕玥 欣悦 歆玥 馨悦 馨玥

Hàorán / 9 浩然 皓然

Jùnjié / 9 俊杰 俊洁

Chénxī / 8 晨曦 晨熙 晨晞 晨晰 晨溪

Jiāqí / 8 佳琦 家齐 佳琪 嘉琪 嘉祺 嘉齐

Shānshān / 8 珊珊 杉杉 姗姗

Xīnyí / 8 心怡 欣怡 心仪 鑫怡

Yìwén / 8 一文 奕雯 艺文 译文 逸文

Yǔqíng / 8 雨晴 语晴 宇晴 雨情

Top Two-Character Given Names (w/o Tones)

List format: Given name / count All corresponding character combinations

Jiaxin / 17 嘉欣 佳欣 佳薪 佳鑫 嘉新 嘉歆 嘉馨

Jiayi / 16 佳怡 嘉怡 佳仪 佳依 加一 嘉仪 嘉艺 嘉谊 家仪 家怡 家毅

Xinyu / 15 心雨 欣妤 新宇 心妤 心玉 心语 欣宇 欣雨 鑫宇 馨予

Junjie / 12 俊杰 军杰 俊洁 钧杰

Xiaoyu / 12 小雨 晓玉 晓钰 小钰 晓宇 晓瑜 晓雨 笑语

Yifan / 12 一凡 艺凡 一帆 一幡 一璠 依凡 屹繁 怡凡 薏帆

Xinyi / 10 心怡 欣怡 心仪 欣佚 鑫一 鑫怡

Xinyue / 10 馨月 心玥 昕玥 欣悦 歆玥 馨悦 馨玥

Yuqing / 10 雨晴 语晴 宇庆 宇晴 钰清 雨情

Two-Character Given Name Tones

The grey square is due to the 3rd tone tone change rule.

List format: Tone of given name 1st syllable, tone of given name 2nd syllable / count

4th, 2nd / 560

1st, 2nd / 421

3rd, 2nd / 373

2nd, 2nd / 304

4th, 1st / 282

3rd, 1st / 191

1st, 1st / 183

2nd, 1st / 177

1st, 4th / 169

2nd, 4th / 152

1st, 3rd / 134

2nd, 3rd / 130

4th, 4th / 121

3rd, 4th / 120

4th, 3rd / 96

Full Name Tone Patterns for Two-Character Given Names

Pictured: The top 10 full name tone patterns for two-character given names.

I found these results very interesting. As I mentioned earlier, I’ve read about how using certain sequences of tones creates a pleasant-sounding flow. I had some fun saying aloud names that fit these patterns and judging the dynamic ups-and-downs of how they flow.

List format: Tone of surname, tone of given name 1st syllable, tone of given name 2nd syllable / count

2nd, 4th, 2nd / 273

2nd, 1st, 2nd / 179

2nd, 3rd, 2nd / 179

2nd, 4th, 1st / 138

1st, 4th, 2nd / 135

2nd, 2nd, 2nd / 129

1st, 3rd, 2nd / 98

2nd, 3rd, 1st / 95

2nd, 1st, 4th / 92

1st, 1st, 2nd / 89

These are only the top 10 patterns. See the bottom of the post for the full list.

Two-Character Given Names: First Syllable

Top First Syllables for Two-Character Given Names (w/ Tones)

List format: Syllable / count Corresponding characters that occurred more than once

Jiā / 171 佳 嘉 家 加 珈

Yì / 138 一 艺 奕 逸 亦 翊 易 义 懿 翼 译 亿 忆 毅 羿 薏 轶

Zǐ / 123 子 梓 紫

Yǔ / 115 雨 宇 语 羽 禹 予

Xīn / 95 欣 心 馨 鑫 新 昕 歆 薪 芯

Xiǎo / 79 晓 小 筱

Jùn / 69 俊 峻 珺 竣 骏

Sī / 63 思 斯

Yù / 53 玉 钰 煜 昱 郁 裕 喻 毓 育 誉

Mèng / 49 梦 孟

Top First Syllables for Two-Character Given Names (w/o Tones)

List format: Syllable / count Corresponding characters that occurred more than once

Yi / 201 一 艺 奕 怡 依 逸 亦 翊 伊 宜 易 苡 义 乙 以 懿 翼 译 亿 忆 毅 祎 羿 薏 轶

Yu / 188 雨 宇 语 玉 钰 羽 禹 煜 俞 昱 郁 于 渝 裕 予 喻 毓 瑜 育 誉

Jia / 171 佳 嘉 家 加 珈

Zi / 133 子 梓 紫 姿

Xiao / 118 晓 小 笑 孝 潇 筱

Xin / 98 欣 心 馨 鑫 新 昕 歆 信 薪 芯

Jun / 84 俊 峻 君 钧 军 珺 竣 骏

Jing / 67 静 婧 景 敬 靖 晶 京 竞

Zhi / 61 智 志 芷 之 治 知 祉

Si / 60 思 斯

First Syllable Tones for Two-Character Given Names

List format: Tone / count

4th / 1059

1st / 907

2nd / 763

3rd / 684

Two-Character Given Names: Second Syllable

Top Second Syllables for Two-Character Given Names (w/ Tones)

List format: Syllable / count Corresponding characters that occurred more than once

Yǔ / 128 宇 雨 羽 予 语 瑀 禹

Qí / 100 琪 琦 祺 奇 淇 齐 棋 麒 岐

Xīn / 93 欣 鑫 馨 昕 心 新 歆 芯

Jié / 83 杰 洁 婕 捷

Wén / 68 文 雯

Yí / 63 怡 仪 宜 颐

Lín / 61 霖 琳 林 麟 淋

Tíng / 61 婷 廷 庭

Yuán / 59 源 元 媛 圆 园 缘 原

Yáng / 58 阳 洋 扬 杨 炀

Top Second Syllables for Two-Character Given Names (w/o Tones)

List format: Syllable / count Corresponding characters that occurred more than once

Yu / 200 宇 雨 玉 羽 瑜 妤 予 钰 语 昱 煜 谕 郁 余 瑀 禹

Yi / 132 怡 仪 一 毅 依 艺 逸 亦 伊 宜 懿 颐 义 奕 意 祎 熠 翼 轶

Qi / 105 琪 琦 祺 奇 淇 绮 齐 棋 麒 岐

Xin / 93 欣 鑫 馨 昕 心 新 歆 芯

Jie / 83 杰 洁 婕 捷

Wei / 75 伟 玮 薇 维 威 微 炜 蔚 葳 崴 纬

Hao / 74 豪 昊 浩 皓 濠

Jun / 72 君 俊 钧 峻 军 均 珺 骏

Wen / 68 文 雯

Yuan / 68 源 元 媛 圆 远 园 渊 缘 原

Second Syllable Tones for Two-Character Given Names

List format: Tone / count

2nd / 1658

1st / 833

4th / 562

3rd / 360

Surnames

Because the majority of the population shares a relatively small number of surnames, I decided to only look at tones.

Surname Tones

List format: Tone / count

2nd / 2047

1st / 1072

3rd / 640

4th / 602

Just take a look at the top 20 surnames in China. Clearly, the 2nd tone is dominating. There’s only one 4th tone surname!

Data Processing

I segmented the names so each character was alone. I just did this in Google Sheets, because that’s where I store the names I’ve gathered. Then I exported the data in CSV format.

I discarded names longer than 3 characters—because these are less common, I decided not to address them to make things easier for myself.

I used the pinyin library for Python to obtain pinyin for each character. I used the numerical format (ie. “ni3”) so that I could easily obtain the syllable w/o tone, the syllable w/ tone, and the tone. I also utilized pandas and numpy. This was done in Google Colabs. I made the unfortunate mistake of not commenting my code, and I wrote it a while ago, so I now I have no idea what is going on (whoops).

Next I dumped this data into a tibble in R for the real analysis.

For as many 多音字 as I could identify, I had to check and potentially fix the pinyin transcription. For example, I had to make sure that 曾 was going to zeng1, not ceng2. Honestly, I’m sure I missed something, but this was so, so tedious. This is also the step where I accounted for the 3rd tone tone change and yi 一 tone change rules.

I used a Python script to convert the toneless pinyin to my own syllable notation system. This was tricky to figure out, but fortunately I was able to use some code I already had from a project I was involved in during college.

I added the syllable info to my giant tibble in R. Because everything was separated into surname, given name 1st character, and given name 2nd character, I also had to create some new columns to combine information to get information for whole given names and full names.

Then it was basically a lot of pipes. Here’s an example: names %>%  filter(nchar(names$name) > 2) %>%  group_by(given_struc) %>%  summarise(count = n()) %>%  arrange(desc(count)) %>%  view()

Bonus Lists

There were some other things I was curious about but felt didn’t have a place in the main body of this post.

I wanted to see which syllables were represented by the most unique characters in my dataset. If the number of unique characters is high, that’s a sign that I would probably have trouble guessing which character someone’s name contains.

I was also curious about open vs. closed syllables and closed syllables ending in /n/ vs. /ŋ/. For instance, take a pair of names like Yixin and Xinyi or Xinling and Lingxin. These names consist of the same syllables in a different order. I wanted to know which order is more common.

Syllables with the Most Unique Characters (w/ Tones)

List format: Syllable / count All corresponding characters

Yì / 27 一 艺 奕 逸 亦 毅 懿 翊 义 易 翼 忆 意 译 轶 熠 羿 亿 薏 佚 佾 埸 屹 异 弋 怿 燚 翌

Qí / 15 琪 琦 奇 祺 麒 淇 齐 棋 其 岐 崎 圻 祁 祈 骐

Yú / 14 瑜 妤 俞 渝 于 余 娱 愚 宇*** 愉 榆 舆 雨*** 鱼

Yù / 14 玉 钰 煜 昱 郁 裕 喻 谕 毓 育 誉 寓 浴 芋

Xīn / 12 欣 鑫 馨 心 昕 新 歆 芯 薪 妡 忻 锌

Yuán / 12 源 媛 元 园 圆 缘 原 嫄 沅 湲 芫 袁

Líng / 11 玲 灵 凌 翎 绫 伶 羚 铃 龄 苓 陵

Xī / 11 希 熙 曦 溪 晞 惜 熹 兮 浠 晰 西

Hóng / 9 宏 红 弘 鸿 泓 虹 洪 闳 汯

Lì / 9 丽 莉 立 力 俐 利 俪 栎 栗

Zhēn / 9 珍 真 臻 蓁 祯 桢 榛 甄 贞

***3rd tone character that is pronounced as 2nd tone due to appearing before another 3rd tone character.

Syllables with the Most Unique Characters (w/o Tones)

List format: Syllable / count All corresponding characters

Yi / 45 一 怡 艺 奕 仪 依 逸 亦 伊 毅 宜 懿 翊 义 祎 易 翼 苡 忆 意 译 轶 颐 乙 以 熠 羿 亿 倚 薏 佚 佾 埸 壹 夷 屹 异 弋 怿 沂 洢 燚 翌 谊 铱

Yu / 33 宇 雨 玉 羽 钰 语 瑜 予 妤 煜 禹 昱 郁 俞 渝 裕 于 喻 瑀 谕 余 娱 愚 毓 育 誉 寓 愉 榆 浴 舆 芋 鱼

Qi / 20 琪 琦 奇 祺 绮 麒 启 淇 齐 棋 其 岐 崎 圻 期 柒 栖 祁 祈 骐

Wei / 20 伟 玮 威 维 薇 蔚 微 炜 唯 纬 葳 为 崴 巍 𬀩 苇 韦 卫 惟 未

Yan / 19 妍 言 燕 彦 艳 岩 延 谚 嫣 琰 雁 晏 研 颜 砚 衍 严 炎 焱

Yuan / 16 源 媛 元 远 园 圆 渊 缘 原 嫄 愿 沅 湲 芫 苑 袁

Xi / 16 希 熙 曦 汐 溪 晞 玺 喜 惜 熹 兮 浠 习 晰 禧 西

Xiao / 15 小 笑 筱 孝 潇 篠 箫 肖 宵 效 枭 校 萧 霄

Yun / 15 云 芸 韵 昀 赟 允 匀 沄 筠 韫 妘 澐 蕰 蕴 运

Zhen / 15 振 珍 真 臻 蓁 祯 震 镇 朕 桢 榛 甄 贞 轸 圳

Two-Character Given Name Syllable Structures

This is the top 10 out of 14 (the bottom 4 were very rare).

List format: Structure of given name 1st syllable, structure of given name 2nd syllable — example / count

Open, open — ex: Jiayi / 821

Open, closed-n — ex: Yijin / 701

Open, closed-ng — ex: Yijing / 468

Closed-n, open — ex: Jinyi / 450

Closed-ng, open — ex: Jingyi / 308

Closed-n, closed-n — ex: Jinyan / 206

Closed-ng, closed-n — ex: Jingyan / 157

Closed-n, closed-ng — ex: Jinyang / 141

Closed-ng, closed-ng — ex: Jingyang / 139

Open, closed-er — ex: Xue'er / 14

Full Name Syllable Structures for Two-Character Given Names

This is the top 29 out of 36 (the bottom 7 were very rare).

List format: Structure of surname syllable, structure of given name 1st syllable, structure of given name 2nd syllable — example / count

Open, open, open— ex: Li Jiayi / 370

Open, open, closed-n— ex: Li Yijin / 336

Closed-ng, open, open— ex: Wang Jiayi / 273

Open, open, closed-ng— ex: Li Yijing / 228

Open, closed-n, open— ex: Li Jinyi / 225

Closed-ng, open, closed-n— ex: Wang Yijin / 223

Closed-n, open, open— ex: Chen Jiayi / 178

Closed-ng, closed-n, open— ex: Wang Jinyi / 165

Open, closed-ng, open— ex: Li Jingyi / 151

Closed-ng, open, closed-ng— ex: Wang Yijing / 146

Closed-n, open, closed-n— ex: Chen Yijin / 142

Open, closed-n, closed-n— ex: Li Jinyan / 104

Closed-ng, closed-ng, open— ex: Wang Jingyi / 97

Closed-n, open, closed-ng— ex: Chen Yijing / 94

Open, closed-ng, closed-n— ex: Li Jingyan / 86

Open, closed-ng, closed-ng— ex: Li Jingyang / 75

Open, closed-n, closed-ng— ex: Li Jinyang / 66

Closed-ng, closed-n, closed-n— ex: Wang Jinyan / 62

Closed-n, closed-n, open— ex: Chen Jinyi / 60

Closed-n, closed-ng, open— ex: Chen Jingyi / 60

Closed-ng, closed-n, closed-ng— ex: Wang Jinyang / 45

Closed-ng, closed-ng, closed-ng— ex: Wang Jingyang / 45

Closed-ng, closed-ng, closed-n— ex: Wang Jingyan / 43

Closed-n, closed-n, closed-n— ex: Chen Jinyan / 40

Closed-n, closed-n, closed-ng— ex: Chen Jinyang / 30

Closed-n, closed-ng, closed-n— ex: Chen Jingyan / 28

Closed-n, closed-ng, closed-ng— ex: Chen Jingyang / 19

Open, open, closed-er— ex: Li Xue'er / 8

Closed-ng, open, closed-er— ex: Wang Xue'er / 4

Extended List(s)

Full Name Tone Patterns for Two-Character Given Names

2nd, 4th, 2nd / 273

2nd, 1st, 2nd / 179

2nd, 3rd, 2nd / 179

2nd, 4th, 1st / 138

1st, 4th, 2nd / 135

2nd, 2nd, 2nd / 129

1st, 3rd, 2nd / 98

2nd, 3rd, 1st / 95

2nd, 1st, 4th / 92

1st, 1st, 2nd / 89

2nd, 1st, 1st / 88

2nd, 2nd, 1st / 84

3rd, 1st, 2nd / 83

3rd, 4th, 2nd / 81

1st, 2nd, 2nd / 73

4th, 4th, 2nd / 71

4th, 1st, 2nd / 70

1st, 4th, 1st / 69

2nd, 3rd, 4th / 68

2nd, 2nd, 3rd / 64

2nd, 1st, 3rd / 59

3rd, 2nd, 2nd / 59

2nd, 2nd, 4th / 56

4th, 3rd, 2nd / 56

2nd, 4th, 4th / 54

2nd, 4th, 3rd / 47

1st, 2nd, 4th / 43

4th, 2nd, 2nd / 43

1st, 1st, 3rd / 42

4th, 4th, 1st / 42

1st, 3rd, 1st / 41

3rd, 3rd, 2nd / 40

1st, 1st, 1st / 35

1st, 2nd, 1st / 35

1st, 2nd, 3rd / 35

1st, 1st, 4th / 34

4th, 1st, 1st / 34

3rd, 4th, 1st / 33

1st, 4th, 4th / 31

3rd, 2nd, 1st / 30

1st, 3rd, 4th / 29

4th, 2nd, 1st / 28

4th, 3rd, 1st / 28

3rd, 2nd, 4th / 27

3rd, 3rd, 1st / 27

3rd, 1st, 1st / 26

4th, 2nd, 4th / 26

1st, 4th, 3rd / 23

3rd, 1st, 4th / 23

3rd, 2nd, 3rd / 21

3rd, 4th, 4th / 20

4th, 1st, 4th / 20

4th, 1st, 3rd / 19

3rd, 4th, 3rd / 18

4th, 4th, 4th / 16

3rd, 1st, 3rd / 14

3rd, 3rd, 4th / 14

4th, 2nd, 3rd / 10

4th, 3rd, 4th / 9

4th, 4th, 3rd / 8

If you made it to the end, I am seriously impressed by your dedication. Thanks for checking out my nerdy ramblings about Chinese names! Don’t forget to check out my past posts on this topic for more. I hope they will help demystify Chinese names and make learning about Chinese names less intimidating.

A Closer Look at Chinese Names

Reading Chinese Names: Female Names

Reading Chinese Names: Male Names

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