Election time

I just received ballot for primary elections. Now, time to do a bit of “research” into the background of the candidates as well as the election system in general. Truth is of course that primaries are given far less attention by the media (I sure hope I’m correct on this one) than the final election pitting Democrat vs Republican. Enough that I’ve also paid scant attention to it so far. I haven’t found American politics all that interesting, but that may change. In any case, I found myself looking briefly at the backgrounds of superdelegates of the Democratic and Republican National Committees.

There was also that I read a bit more about the background of Ron Unz, whose site I comment on now, who actually won 30+% of the votes in the California Republican gubernatorial primary back in 1994, as a 32 year old financial software entrepreneur. The winner of that got 60+% of the votes, so he wasn’t exactly close, but regardless, 30+% of the votes means you were actually taken seriously. Not bad for a smart as fuck Jewish weirdo who studied theoretical physics, who, according to this article, was still eating half his meals at Burger King despite being a multimillionaire at age 37. I don’t think he married or had kids. Maybe because he only saw his father, an EE professor, three times in his life, and was afraid that he would end up like that too, who knows. What can I say, his maverick, non-conformist streak certainly has relation to such a background, for reasons of both genes and environment. Honestly, I can’t believe a guy like him managed to be as successful as he was in the game of American politics, which, as far as I can tell, tends to select inverse to merit, past a certain, not terribly high filter at least.

There is much criticism over the election system in America, obviously, especially with regard to the electoral college, which one can think of as a layer of indirection in the voting process. Think of them as virtual votes, which correspond to electors apportioned based on state population (via number of House of Representatives plus two Senators). They actually correspond bijectively to the members of Congress of each state but are not those. They are nominated by the political parties per state, and they vote for the representative of their party in the presidential election, with the exception of cases of faithless electors. There were quite a few in the controversial 2016 election. The one who stood out most was a Native American who instead of voting for Hillary Clinton voted for some Native American activist. On that note, that other smart and weird as fuck Jewish Ron who studied theoretical physics is Ron Maimon, and he once spoke of America as a culturally rotten nation founded on white supremacy and dispossession. This is what I was reminded of when I learned of that faithless elector.

Of course, what’s been the most controversial about the 2016 election is alleged Russian interference. Just a few days ago, there was quite some media backlash there with regard to Trump’s denying it in his summit with Putin in Helsinki, to the extent that Trump was pressured to publicly take back his statement, framing it as an accident of word. I learned of this incident after I started seeing these Facebook posts on Putin/Russia, and I was like, huh, what just happened.

As for Russian interference, they say, among many other things, that Russians hacked into the Democratic National Committee computer network. I would believe that is real. I guess Russian government is doing that for revenge against Ukraine. Reading Andrei Martynov’s book reminded me of the Ukraine coup back in 2013-14 and consequent sanctions against Russia for annexing Crimea. It seems like Russia has pretty much lost hope in trying to make peace with the United States and is going direct confrontational now. I guess Russia might also want revenge for their banning from the Winter Olympics earlier this year for doping, which many there believe was pressured and manipulated by the US.

There were also Russian internet trolls, on Twitter and Facebook especially. I hate to say it, but that’s part of the game of manipulating public opinion. In the US there are these election campaigners who essentially play it professionally. The only way to fend this off would be to have these sites block Russian IP addresses, which I’m sure these sites would be very reluctant to do, as it would mean loss of business for them. Again, the conflict between private interest and “national interest.” Of course, this won’t stop Russians from using proxies in the US to do the same, just as the Great Firewall of China doesn’t stop people from bypassing it via VPNs. There are, I’m sure, companies in the US acting as covers for Russian intelligence activity. Those would be difficult to eliminate, unless America chooses to go full anti-Russian domestically, meaning that the smart Russians with a lot to contribute will come here less and less, and instead make Russia better at home. In any case, Russia has succeeded in undermining public faith in America’s democratic process. My question now is when will the American public wake up and realize that “democratic” is a meaningless political buzzword with a positive connotation artificially manufactured and promoted by the US mass media?

In any case, this shows that Russia is still really politically formidable, *in spite* of her big fall in the 90s. At the core, Russia is still the world’s number two. It’s not China, which I don’t think could have interfered in a US presidential election enough to get as much blame for it even if she really wanted to. Of course, this has to do with that Russians are physically and culturally much closer to the US than China, making it easier for them to blend in when necessary. There is also that Russia is still more technologically advanced than China. Even in computer security, Russia has Kaspersky. Nginx, a real rival of Apache, was created by a Russian in Russia. What does China have there? No web server from there that I know of. In anti-virus, I know of Qihoo 360, but I would not bet on them vs Kaspersky. On this, I’ve written the following:

China is still way behind

Buys its best military gear from Russia. S-400 surface-to-air missile system. Su-35 fighter jet along with Russian engines for its own planes because its own aren’t good enough. Its Comac C919 passenger plane is taking longer than it should, and it’s collaborating with Russia on a better one (CR929). Still not self-sufficient in CPUs/semiconductors. Russian military technology may well be the best in the world now: https://www.unz.com/tsaker/book-review-losing-military-supremacy-the-myopia-of-american-strategic-planning-by-andrei-martyanov/. China is still junior partner just like back in the 50s: https://www.youtube.com/watch?v=wg8Zd-IPHYg.

On the plus side, China has mostly completed its Beidou satellite navigation system (though Russia’s GLONASS still came first), and it’s being incorporated into Chinese defense industry and tech companies. Baidu Maps probably uses it now.

It’s not just technology of course. It’s also the political posture, though surely, that part is hard if you don’t have really strong indigenous military technology to back it up. In that respect, everybody else is still << United States and Russia. And maybe Martyanov is right that there, as far as quality is concerned, we are having Russia > United States. Though perception wise, I don’t expect that for a while.

我对于种族关系的看法

最近在美国,正在进行的对常春藤大学歧视亚裔的种族配额制度的案子在2018年6月中旬透露了哈弗录取人员给亚裔申请生更低的所谓的“个性评分”,以此为拒绝他们之由。可预料,这引起了一场稍同情亚裔的媒体大波,而7月出头没过多久,川普政府撤销了奥巴马时期推行的大学录取种族平衡政策并颁布了新政策指南的重要举措。同时,亚裔又在纽约市强烈抵抗市长de Blasio提出的将撤销特殊高中考试录取的案,为了种族多元化而改至holistic的录取方式,难以接受在现有制度,那些特殊高中的名额大约百分之七十都占于亚裔学生。加上,芝加哥大学,一所SAT分数分布很高的接近顶尖大学,已经把SAT考试改为可选而非必要的申请件。看来随着亚裔体抗议常春藤的歧视加热而稍有进展的同时,美国的某些其它教育机构又开始给以新的袭击。看来美国社会就是对亚裔不要好啊。为此,我当然也有自己的想法。

对于一位为所谓亚裔孩子平等教育权的活动者所提出的,我是这么说的:

没错,但是我现在不断觉得华裔在美国所争取的社会地位的提升很可能大多会是枉然的,因为美国当权派不愿意太多华人进入美国上层。是,在美国的华人必要敢于为自己的利益抗争,但要现实,不要把太多时间和精力浪费于几乎不可能成功而对自己毫无长远价值的事情上。现在美国优秀的华人太多,已经难以容纳,要移民最好找找别的地方,或者留在中国为增强我们自己主导的体系而奋斗,把它转成有国际竞争力的一流体系。在美国,华人只是会帮着造福望永远把华人以世界二等人对待的美国当权派。

总之而言,这些人我觉得在忽略一个更根本的问题,就是为什么华裔在美国得不到平等。为什么呢,美国还是白人统治的白人大多数国家就不用说了,就是在世界,作为种族,白人的社会地位还是远远更高的,由于白人在前好几百年所积累的,此难以摆脱。没错,东亚人很聪明,又勤奋,智商高一点,这一点在心理统计学界里是几乎绝对认可的,毫无异议的,但是问题是权利和资源掌握在白人手里,这一点白人的精英和统治者是不会轻易放弃的,反而东亚人好,还更有原因被歧视。白人不太在乎黑裔或墨西哥裔,他们不构成任何威胁,而且给予这些被压迫民族一点名额和资源不仅能缓解一些殖民奴役所造成的所有的白人內疚感,还便以表出一点虚伪的慈善,不用说,把资源从主要对手转移至弱者是非常典型常用的增强巩固自己地位的手段。

同一个人,非男性,还发布关于亚裔男性爱受到的歧视的信息,对此,我只能说:

可惜的是,说不定亚裔男性的性(这包括身材,面容,外表)吸引力就是差一些,或者他们由于属于更弱的种族被视为缺乏社会地位。没什么好办法,只能进步自己和做你所能做的进步你所属于的不可脱离的种族。抱怨只会让你显得更加屌丝(loser)。

我在美国长大,但显然与ABC很不一样,还是一直坚持了对自己文化的认同,因为大多ABC所做的真的挺愚蠢的。我一直认识到正宗中国人的势力比在美国被边缘化的ABC的势力要大得多,对种族关系和歧视还是比较现实主义的,可惜像我这样的人实在太少。现在的中国人过于想如何多融入美国白人所主导的社会和体系而非如何把自己主导的体系变得更有国际竞争力,无论如何,华裔在美国只能采取二流的附属的地位,中国人的主力应该放在中国。

中国人不要忘记日本的经历。他们从明治天皇的领导起现代化做得非常成功,不断像世界证明了东方人在现代科技和军事还是有竞争力的,但是最终还是得不到平等的对待,不得不对西方列强发动战争,在此过程中将其它东方人和亚洲人为奴隶和牺牲品,最终由于自己太小而过于扩张还是失败了,最终不得不永远放弃原有的军事大国梦想。虽然日本输了,但是还是打赢了好几场具有先进军事技术水平的战争,也得到了一定的认可,而战后,他们的飞速经济重建和崛起又让西方人刮目相看,把美国的好多科技产品打的落花流水。我还是非常佩服日本人为民族而不服输的精神,他们很多方面比中国人的确素质高,像日本的精英从来没有过永久留在外国乘凉的现象,大多都最终回去为他们的祖国贡献,同时,也很少出日奸,在这一点现在的中国人可以感到羞耻。相比之下,中国人的奴性和民族自卑感要严重得多,若没有毛泽东和抗美援朝的胜利只会远远更差,当然比印度人要强得多了。说起印度人,你看中国人62年把印度打的那么惨,魂飞魄散,现在还要在美国公司受印度人欺负,多么丢人啊。在这一点我的确对当代的中国人感到很失望。说的极端一点,中国人去买美国的那套扯淡,不如勾结俄罗斯人想法把美国打垮。你想想当年斯大林和毛带领的那样的团队是没人敢惹的,斯大林的间谍那么可怕连美国都要搞类似于文革的麦卡锡主义反共浪潮来镇压,把钱学森那样的顶级华人人才也吸引回国了,中国人现在已经失去了这种精神,这是很遗憾的。

现在的中国人经常盲目的崇洋媚外没有什么骨气,经常接近于教条的将与美国体系多近为衡量人的标准,非常的缺乏民族自尊心。台湾人和香港人对大陆人有优越感,因为他们经济更富裕,更西化,没有意识到他们自进入美国的怀抱下都是殖民经济,以附属地位和产品换取了他们的经济和生活水平,而在此过程中,增强了他们的阿Q心态,变得像印度人那样了。的确是,他们和印度人一样少数精英享受了美国的教育和体系,自己发展的很好,但是他们绝对不能算得上真正代表中国人,当然中国人也都为他们的精彩成果感到自豪。一个国家的人才大多在国外只能说明这个国家的国际政治影响力比较微弱。说到这一点,由于领导,毛泽东时代的中国很多方面国际政治影响力比现在远远更富裕的中国都要强,为这一点,现在中国人也应当感到羞耻。

中国人也应该有一定的优越感。虽然自己没有搞出近代科学和工业,落后挨打了,但这不一定说明中国人本质上就是劣势的,可能在身材上某些方面劣势一些,但是这也是次要的。相反,中国那么落后糟糕但为何,类似于日本人,只不过起步晚的多,追赶却那么快呀?不是因为更高的智商和更加刻苦耐劳吗?而这一点,不也通过在美国的优秀刻苦但受歧视的华裔学生加以证实吗?而且中国人还做到了日本人未能的,就是与西方白人打平一仗而建立自己独立的体系和制度吗?中国人在外国还被白人欺负,没办法,这个问题必须靠自己以中国为主的势力来解决,对手还是瞧不起你,不会轻易认输的,只会更加给你施加压力。最终还要看中国人自己的能力了,不是那些为美国机构服务的中国人,而是为中国自己服务的中国人。任务是艰难的。我作为中国人敢直截了当这么说因为我知道无论如何,我不可脱开中国人的面貌,就像俄罗斯人无论和西方多么亲,依然无法脱开共匪的面貌,还是被彻底毁坏了,中国人即是共匪,又是黄种人,就更没有希望了。可惜太少人认识到这一点。反而,汉奸还是特别多,像我说的,中国的整体素质还比日本人要差,我想如果中国不敢为此严厉处置,在内加在外,中国人的希望是不大的,连港台的人心都拉不过来,谈何与白人平等啊。有些人如果品德实在太差而无救,也不要放弃劳改,绝育,甚至灭九族的手段,不用一切向美国学习,美国现在反人类的SJWneocon势力日益增强,无可遏制(消灭就更不用说了),将来它们都可能把美国整个国家搞坏,损失已经很大了,中国人不要一样傻就行了。

王明瑞,极有趣的中国青年

通过一位丹麦人,我有幸认识到了王明瑞,一位中国研究生。但与典型的循规蹈矩死读书的研究生恰恰相反。比如,他翻译了理查德·林恩,专门研究智商及其种族和性别差异的心理学教授,撰写的Eugenics: A Reassessment (Human Evolution, Behavior, and Intelligence)(翻译成中文为《优生学:重评(人类进化,行为和智力)》),但目前还无法将此出版。同时,他还是中文维基百科具有十一年编辑经验的人。前几天,我给他看了我的《祝党的生日快乐》一文,他却回,“最后一个链接所指的中文维基百科页是我添加的”。我总是好奇是什么样的中国人为中文维基百科和百度百科这些中文百科做相当大贡献,猜测肯定大多是一些具有某种性格的学生,只能说很高兴终于认识到了此中一员。我想他肯定还有其它的我未知的才华和成就,毕竟我对它这个人还了解的相当少,刚网上认识吗。中国像他这样的人看来还是有不少,但是我觉得还是远远不够,与美国相比,这当然跟中国的应试教育体制有一定的关系,当然在中国考上大学或进入真正工作之后也不太在乎这些的,还是要看你能做出什么真正的成果来,之后学习没有考试,要靠自己主动,而靠非考试的方式展示自己的知识和技能。前几天发邮件我还写道:

I created a few days a Baidu account using my US mobile phone number, with the thought of possibly contributing a bit to Baidu Encyclopedia, which to my disappointment doesn’t even have LaTeX support, though I have learned much from its non-mathematical content over the years. China still has a long way to go, but I believe they will get there in a matter of time.

还想强调在这方面中国人还真的是比白人差一些,白人有更多愿意自愿投入这类的。刚和他(在脸书上)又聊了另一个话题:

MingruiOnAntiCPCPropaganda

所以王明瑞是非常独立思考的人,为了满足求知欲要翻墙,但翻了墙后对新的信息依然保持批判性思维,多赞!谁知道那,说不定王明瑞的星星之火会将来燎起中国的优生大原。我就希望中国能多出一些像王明瑞这样的人。

 

Speech recognition between American and Chinese companies

I’ve already written here that I started trying out speech input. I’ve tried various ones for both Chinese and English, namely Apple, Sogou, and IFlyTek. Sogou is a relatively well known, at least in China, company that used to have sizable search market share quite a while ago. It’s also famous for its Chinese input method, which is its default. IFlyTek is this little known company in Hefei, Anhui, that can tap smart graduates of the University of Science and Technology of China (中国科技大学) there, arguably the nerdiest school in China. I was rather disappointed, and my impression was that these Chinese companies have a long way to go in AI, compared the top American ones.

Curious to see a more objective comparison, I did a test, where I recorded something on this matter that I thought of impromptu.

Yes, it sounds very hesitant and stumbly, because it was entirely improvised. But it’s good enough. What did, Apple, Sogou, and IFlyTek generate respectively when tested on this audio file.

Apple

我想做一下作业,然后试试中国公司和美国公司的语音识别比较一下。我排客之后对这些中国公司感到非常的失望,就不用说,谷歌苹果很可能都比最好的中国公司多苹果。的强项不是我觉得中国的科技公司这两年好多都是媒体可以的。他们斗地主还是继续在美国所找到的人也都是下个二流的同时,很可能在中国的顶级的开发人,还知道那就是说最好的开发员可能在美国还比中国多多得多。(here, many characters were actually omitted as opposed to misrecognized)

Sogou

我想在这上面做一下录音然后试一试中国公司和美国公司的。语音识别你想一下我还克我肯定会之后对那些中国公司感到非常的失望就不用说,谷歌苹果很可能都比这里好的,公司的好多。虽然苹果强项不是人工智能我觉得中国科技公司这两年好多都是媒体吹的他们谁小技术还是咱俩落后基本上没到的人也都是香的,二流的。同时很可能在中国的电机的开发员还少那就是说最好开发员华人开发员在美国还比中国多甚至多的多

IFlyTek

我想,在这上面,做一下录音,然后试一试。中国公司和美国公司的,语音识别,比较一下。拍客,我肯定会,之后,对,那些中国公司,感到非常,的失望。就不用说谷歌了。苹果,很可能都比,这个好的中国公司,做的好的多。苹果。都瞧瞧,不是人工智能。我觉得中国。的,科技公司,这两年。好多都是媒体吹的,他们,11首。的技术,还是落后,即使在美国,所招到的人,也,都是相对流的,同时,很可能,在中国的。顶级的开发员,还。,那就是说。最好,的开发员。华人开发员。在,美国,比中国,多,甚至多得多。

It turned out that Sogou and IFlyTek are actually a bit better than Apple for speech recognition, to my surprise, which just goes to show how flawed subjective impressions can be. Of course, all of them made numerous major errors, such that I can see why speech input still isn’t widely used (as far as I know). Even for English, Apple make some errors. I told me friend this, and he said, “strange, it’s usually pretty reliable for me, maybe your voice isn’t clear enough.” Though he was using Google’s on an Android, and we all know that Google is the world leader in AI, almost certainly quite a ways ahead of the other top companies in it. So I tried out Google’s as well, via this, and the result was

我想在这上面做一下录音然后试一试中国公司和美国公司的语音识别比较一下我差可我肯定会之后对那些中国公司感到非常的失望就不用说谷歌苹果很可能都比最好的中国公司做的好的多虽然苹果的强项不是人工智能我觉得中国的科技公司这两年好多都是媒体吹的他们实际上的技术还是等等6号其实在美国所招到的人也都是香奈儿流的同时很可能在中国的顶级的开发源还非常少那就是说最好的开发华人开房源可能在美国还比中国多甚至多的多

It’s comparable in accuracy to IFlyTek, maybe a bit worse.

Of course, I’m sure Google and Apple invested relatively little on Chinese speech recognition. Just like Sogou and IFlyTek invested little on English (or maybe they trained on English spoken with Chinese accents), because their English speech recognition basically felt like complete garbage.

In any case, we can still see that speech recognition and AI in general still has a long way to go. After all, your AI is only as good as the data you feed to train it. It will never handle cases exceptional to the training set and not programmatically hard coded, unless there is a major paradigm shift in how state-of-the-art AI is done (so something even better than neural nets).

Whoever reads this is welcome to do a similar experiment comparing Google Translate with Baidu Translate. I did, but I didn’t record the results so it doesn’t really count as a completed experiment.

祝党的生日快乐!

97年了,我无话多言,直连到此文。此终结为:

上世纪20年代的青年思索救亡图存,30年代的学生投笔从戎,60年代的学子以身许国献身戈壁,当代年轻人面向社会追寻人生意义……一代代青年人的从心而行,何尝不是一种精神传承?让信仰之火熊熊不息,让红色基因融入血脉,让红色精神激发力量,我们就能更坚定、更执着、更无畏地前行,为国家为人民创造一个更好的明天。

哈哈,说是这么说,只不过据我所观察现在的人大多已经失去往时这种宝贵精神了,人也远远不如老革命那一辈了。总是感觉现在的人比起以前过于保守,缺乏胆量。作为一位在美国长大的被动无声的minority(少数民族)的一员,在一种腐朽无味的文化环境中,何以得到精神力量?当然,有个人的学习和事业,但我想说的不是这个。所想说的是文化认同。在这一点,不是多沉浸于ABC的伪文化中,而是多认识我们的革命前辈,从之得以启发。可惜与我同感的人实在太少。

今年初,我有幸得知并读中共创始人李大钊的《狱中自述》,感受到了他为党壮烈牺牲所留下的信念。共产党当时在受蒋介石发动的白色恐怖下的残酷冲击,此余力最终逃避生存而从建真是奇迹,从而中华民族得以新的诞生。此文之外,还看了讲这位民族英雄的一部纪录片,里面有不少他写的诗,开头还有他二十年代在莫斯科向当时多位共产主义战士演讲的镜头。

提到莫斯科,我还想说我业余自学俄文,直到今天基本能读会说一点,也很大处于更深入理解党的历史背景的愿望,当然,苏联的那一套也有不少非常值得学习的。

从建党建国的历程可以看到组织和动力的重要性。不用说,当时的人的确与现在非常不一样的,现在的社会太放纵,诱惑太多,过于注重金钱,人愈来愈自私,缺乏社会责任感和理想。我觉得市场经济是有一定用处的,但是同时,他鼓励很多对社会不良的表现,过于注重短期谋利,导致有长远意义的工作难以实施。在我前文所提,金钱的诱惑干扰实在太大,使得现在中国愿意静下心长期投入核心科技研制的精英越来越少,前辈知识分子坚持信念以身许国的精神已大大消失。

当然,你可以说我太理想主义了,可是我觉得接近于马克思想象的那种共产主义社会还是有可能的,尤其在现在机械化信息化高产能社会,此与以前的未工业化社会相比截然不同。以前稀缺是因为生产技术不够发达,而现在的稀缺大多是人为的,出于少数大资本家掌握太多物质资源,为了他们自己的利益囤积居奇,中国的房地产泡沫就是个好的例子。美国的大学学费过高也是又一个例子。在美国,公立教育是很烂的,学校提供的极少,完全需要家人自己投入。同样,美国没有医疗保证,好多人都没有医疗保险,有不少人得病而破产。总之而言,中国由于他的红色基因和毛主席时代的遗产比美国好得多,在价值观上。在美国资本家完全不会在乎你,也不在乎社会的健康,就为了你的钱,鼓励或垄断迫使大量销售,而且媒体由于被私人掌握好多都是故意误导人的。可惜中国人,尤其是领导人,不够自信缺乏志气,经常还要向美国这些学习,若不是毛泽东时代所留下的遗产,可能中国也会面临俄罗斯同样的遭遇。

在冷战时期社会主义苏联和中国的存在慢慢给世界形成了新的社会规范。两国在有经济条件的情况下都提供免费教育和医疗,加上有分配房子,按马克思的“各尽所能,各取所需”的原则。同时,社会主义国家所提供的育儿也提升了妇女的地位。相反,美国现在天天闹虚伪的,反常识的女权主义,而不解决此最根本的问题。强大的对手这样做导致美国资本家把在美国内地的剥削和系统种族歧视减轻了一些,好避免美国人民造反推翻他们的风险和赢得世界非白种人对美国的支持以对付社会主义阵营。当然,我们都知道中苏之间不久决裂了,毛时代晚期起,中国却开始偏向美国,所谓的逻辑是打着红旗反红旗威胁比公开资本主义更大,当然也是为自己利益的一种妥协。改革开放后,美国所施加的软压力和诱惑实在太大,导致了89年运动不当处理所引发的六四事件,此突然更大弱化了早已决裂的社会主义阵营。在这一点,我的确发觉到六四所制造的国际政治影响对苏联及东方集团的崩溃有了相当大的催化作用。我想,若社会主义在此复辟,何况共产主义实现,胡耀邦赵紫阳这俩王八蛋,如赫鲁晓夫一样,肯定会被划为历史的罪人。

当然,不少人用苏联的最终失败和中国的转型来证实社会主义制度的劣势。当时,从科学严谨角度而言,这一点都算不上什么证实,只不过是一种容易忽悠人的政治宣传而已。在冷战时期,因为美国特别怕红色中国,才给了日本和四小龙大量的经济援助和政治支持,在彻底封锁红色中国的同时,欲之崩溃。这样当然更加貌似资本主义民主制度优越于社会主义民主集中制,可说服大多数人。当然,也有少数一般智商比较高的人,如我的美国数学奥赛金牌朋友(纯粹美国人)也说好多是因为苏联二战后还是很落后于美国,中国与美国的主要盟国英法日加起来就更不用说了。我也想,可能当时如果苏联没有变修,采取适当的改革,并且维持与中国的结盟合作,结果会是反过来的,那就是社会主义赢得冷战,在美国进行更多向着社会主义的和平演变。当然,冷战不光是意识形态的冲突,也是大国之间的冲突,要是苏联和中国要赢,肯定也要像美国传播一种服从似的社会主义,此也是中苏分裂的根源,那就是中国到了一定的程度不想继续做服从的社会主义二哥。

虽然大国之争,民族之争处于人的本性,不可避免,只可良化,我还是相信社会规范是可以并且值得进步的,一点因为此在历史过程中大致是进步的,二点因为世界现在还有很多极其糟糕不仁的制度和社会规范,甚至可以说苏联垮台之后,美国统治阶级无压力,为所欲为,使之退步。比方说,我想有可能,甚至,如果我乐观,很可能,一百年后,现在美国这样的没有免费教育和医疗的社会是难以想象的,至少在发达国家。也可以想象一百年后,通过发达的基因检测及胚胎筛选的实施,社会不会允许智商低于80的人和有昂贵遗传疾病的人出生。无论如何,我相信中国共产党97年前的诞生会经得起历史的检验。这是什么意思?比如,中华人民共和国的不断成功和世界地位的上升已经给中国的体制增强了威望,当然,现在世界舆论还大由美国为首的西方国家掌握,它们还可以说这是因为中国改革开放起转向了资本主义制度,只不过不民主,而若民主只会更好。这中说法我觉得很扯淡,没有根据,认为中国人要敢于在强大的压力下坚持真理,自信主动地带领人类的社会进步,科学的决定并且尝试制度,包括更社会主义的制度,少在意美国如何看待。要想超越别人,带领新的潮流,走向更先进的社会,必须敢于挑战当前的权威,在学习它的同时解开他的缺点漏洞,发展自己的独特之处,大胆而科学的探索尝试新的方法,让时间所检的更佳结果和优越不得不得到世界的认可。

其实,鉴于此文在纪念党的生日,我觉得中共所领导的做的好多都是惊人的,具有无比勇气的。统一了百年军阀混战的中国是一。建国没捞着喘什么气又跟世界老大直接打了一仗,而且还赢了,至少平了。此代价是世界老大采取几乎所有措施让你崩溃,但是二十年后,中国从几乎零的基础下研制出了两弹一星,世界老大也不得不认输了。之后,跟世界老大建交了,他非要让你改变你的制度,到处污蔑你好对你施加压力,但中共依然坚持抵抗着,直到今天发展到世界老大真的怕你代替他咯。所以从任何客观的角度这都是很神的党,奇迹性的政治组织,美国当权派及其走狗对它的诬蔑只能客观表示一种自己深厚的畏惧和对自己失败的回避,是一种拒绝面对客观事实的表现,用另一句话说,是一种sore loser的表现。当然,中国在共产党的领导下还要好多做的不足的地方,如此前文所述,还有很漫长的路要走。我个人觉得中共改革开放那帮领导相对比较差,比较没有骨气,此可以以六四和中国的人才流失证实,当然我也认识到中国要融入美国为首的国际体系就是要失去一定的独立自主为代价。(注:读者别把我搞错,我绝对不是一个极左,四人帮当然也有很多糟糕的地方,基本上是一些弱智流氓,但至少他们是立场坚定,不会去走卖国的自由主义。)

作为终结,我想引用一下我很尊重的一位英国学者所分析的,那就是:

Not that I am any sort of unreconstructed Maoist: I also approve of Deng Xiaoping, including his willingness to be harsh when necessary.  Both Mao and Deng played a big part in producing today’s China, but in a future article I will argue that it was Deng who came closest to wrecking it. Contrary to what most analysts will tell you, Mao always had a fall-back position that he could return to if one of his radical experiments went wrong.

翻译成中文是:

不是我是任何教条的毛派:我也认可邓小平,尤其是他在需要的时候肯采取严厉措施。毛和邓都对建立今天的中国起了决定性的作用,但是在未来的文章,我会论证为何是邓最接近毁之。与大多评论家会说的相反,毛总是,以备他的某个大试验出问题的可能,有了适当的退却安排。

其实随着我对相关背景的不断了解,我也得出了类似的结论(当然,我这么说无法证明这不是看到上文所产生的后见之明偏误。盼望这位可被视为奇异的学者尽快发表对他此”异常”观点的论证!

A bug in WeChat

Nothing major. But you see, I shared my first moment on it. The result was:

WeChatHyperlinkBugScreenshot

You see the problem right? Broken hyperlink. The bug I filed:

WeChatBugFiling

I’m kind of surprised and disappointed that they’ve missed this edge case for so long. And to be honest, I don’t feel like WeChat is all that great technically. A while ago, I tried their web interface, and it was shit, barely usable. I didn’t find their Moments (朋友圈) feature social_wechat_moment in Discover (发现) easy to use either. I wanted to post the above message, and I had to Google to find that to post one without a photo, you need to hold the camera icon at the top right corner for a bit. Not a terribly intuitive interface.

So, in spite of all the recent hype, a Danish data scientist told me that Chinese are deeply incompetent, due to corruption and incompetent leadership, and that other Euros who know China have told him the same. Similarly, University of Washington CS prof (now at Stanford) James Landay, who spent a few years at Microsoft Research Asia, wrote December of 2011 that Chinese computer science, while having made tremendous strides, is still leagues behind. I doubt his opinion has changed that much over the past almost seven years. Personally, I haven’t found most Chinese from China software engineers here all that impressive, though of course, I’ve also seen some really brilliant and creative ones. Of course, there is also that software engineers in general, wherever they’re from, are just not that smart, compared to say mathematicians or physicists or real engineers, due to the low intellectual difficulty of most of the work. Apparently, a senior engineer at Google can think that “eigenvalue” is “specialized terminology.” Of course, any serious STEM person will think you’re a total joke if you say that. Luboš Motls has written on his blog that most programmers think like folks in the humanities, not natural scientists. On this, I concur almost 100%.

 

Trying out speech input

I wrote my previous blog article lying in bed at night very tired, trying out speech recognition input. I was using the one provided by Sogou. It turned out that even after many manual corrections, there were still several errors made which I didn’t catch. You can check the complexity and level of ambiguity of the writing itself (of course you’ll have to read Chinese). You also don’t know how clearly I spoke. Yes, it can be a problem when you speak quickly without a certain level of enunciation, especially when your combination of words isn’t all that frequent. There are of course also exceptional cases which a smart human would easily recognize that the machine cannot, like when I say Sogou, a human with the contextual knowledge would not see it as “so go.” Of course, this is expected, AI is only as good as your training data.

I tried Google’s speech recognition too, here, and initially it seemed to work much better, until it started to make errors too. Next, I tried IFlyTek, this company in Hefei which supposedly hires a ton of USTC (中科大) grads. Still not much better. It’s much easier to type Chinese and have to select something other than the default very occasionally. Turns out that the statistical NLP techniques for Chinese input work well enough, especially given the corpus that Sogou, whose input method I use, has accumulated over time. I had read that back a while ago, it even criticized Google for using some of their data for their Pinyin input method, and Google actually conceded that it did. It’s expected that the Chinese companies in China would have easier access to such data. Even so, Google Translate still works visibly better than Baidu Translate, even for Chinese.

From an HCI perspective, it’s much easier to input English on phone than to input Chinese. Why? Because spelling (Pinyin in the case of Chinese) correction, necessarily for phone touch-screen keyboard, works much better for English than for Chinese. Sure, Sogou provides a 9 key input method as shown below (as opposed to the traditional 26 key),

SogouNineKeyScreenshot

where once one is sufficiently practiced, the key press error rate goes down significantly, but the tradeoff is more ambiguity, which means more error in inference to manually correct. In the example below, 需要(xu’yao) and 语言(yu’yan) are equivalent under the key-based equivalence relation (where equivalence classes are ABC, DEF, PQRS, etc). Unfortunately, I meant 语言(yu’yan) but the system detected as 需要(xu’yao).

SogouNineKeyInferenceError

You can kind of guess that I wanted to say that “Chinese this language is shit.” The monosyllabic-ness of the spoken Chinese language, in contrast to the polysyllabic (?) languages in the Middle East for which the alphabet was first developed, obstructed the creation of an alphabet. Because each distinct syllable in Chinese maps to so many distinct characters with different meanings, there would be much ambiguity without characters. For an extreme example of this, Chinese linguistic genius Yuen Ren Chao (赵元任) composed an actually meaningful passage with 92 characters all pronounced shi by the name of Lion-Eating Poet in the Stone Den.

I remember how in 8th grade history class, an American kid in some discussion said how our (Western) languages are so much better than their (Chinese-based) languages, and the teacher responded with: I wouldn’t say better, I would say different. Honestly, that kid has a point. Don’t get me wrong. I much appreciate the aesthetic beauty of the Chinese language. I’m the complete opposite of all those idiot ABCs who refuse to learn it. But no one can really deny that the lack of an alphabet made progress significantly harder in many ways for Chinese civilization. Not just literacy. Printing was so much harder to develop, though that is now a solved problem, thanks much to this guy. There is also that Sogou’s Chinese OCR, which I just tried, basically doesn’t work. Of course, nobody really worries about this now, unlike in the older days. In the early 20th century, there were prominent Chinese intellectuals like Qian Xuantong (钱玄同) who advocated for the abolishment of Chinese characters. Moreover, early on in the computer era, people were worried that Chinese characters would be a problem for it.

In any case, unless I am presented with something substantially better, I can only conclude that any claim, such as this one, that computers now rival humans at speech is bullshit. I was telling a guy yesterday that AI is only as a good as your training data. It cannot really learn autonomously. There will be edge cases in less restricted contexts (unlike in chess and go, where there are very precisely defined rules) such as a computer vision and speech recognition obvious to a human that would fool the computer, until the appropriate training data is added for said edge case and its associates. Analogously, there has been a near perpetual war between CAPTCHA generators and bots over the past few decades, with more sophisticated arsenals developed by both sides over time. Technical, mathematically literate people, so long as they take a little time to learn the most commonly used AI models and algorithms, all know. Of course, there will always be AI bureaucrats/salesmen conning the public/investors to get more funding and attention to their field.

Don’t get me wrong. I still find the results in AI so far very impressive. Google search uses AI algorithms to find you the most relevant content, and now deep learning is being applied to extract information directly from image context itself, vastly improving image search. I can imagine in a decade we’ll have the same for video working relatively well. To illustrate this, China now has face recognition deployed on a wide scale. This could potentially be used to search for all the videos a specific person appears in by computationally scanning through all videos in the index, and indexing corresponding between specific people and times in specific videos. Of course, much of the progress has been driven by advances in hardware (GPUs in particular) which enable 100x+ speedup in the training time. AI is mostly an engineering problem. The math behind it is not all that hard, and in fact, relatively trivial compared to much of what serious mathematicians do. Backpropagation, the idea and mathematical model behind deep learning that was conceived in the 80s or even 70s in the academic paper setting but far too computationally costly to implement at that time on real world data, is pretty straightforward and nowhere near the difficulty of many models for theoretical physics developed long ago. What’s beautiful about AI is that simple models often work sufficiently well for certain types problems so long as the training data and computational power is there.

为什么中国核心科技依然薄弱

我与一位清华电子工程毕业但博士之后转至软件开发的人午饭聊天,他说若Facebook消失,人很可能变得更加有效,而相反,若Intel消失,科技及我们的现代生活会几乎停顿。此理明显,而甚少所提。在本人眼中,将网络公司英文述为”tech”,其实是对技术的一种严重歪曲,对理工真才实学的人是一种笑话,也是对他们的一种贬值,因为这种虚伪的词语宣传只不过是起一种误导公众及反知识反科学的不良效应。当然,在市场经济,真正的天分和能力经常是不太受重视并经济价值不高,价值高的反而是会做买卖会搞关系会吹的人和技术含量不高但助做买卖的工作,典型为网络公司的码农。一般来讲,高级的理工人才非常的专或者如果做理论的东西未有直接的经济价值,选择(若留在他们的专长里)极少,所以很少能拿到特别高的工资。这也是为什么中国(美国也差不多)愿意投资或投入核心科技产品,以芯片为典型例子,的人极少,即使非常聪明天性善于真正科技的人也经常随着社会及经济压力和诱惑离开他们当前的热爱,这是很可怜的趋势。一般人的视野是极其肤浅的,没办法,只能通过优生加上教育提高一个社会的整体素质,可惜的是,在市场经济下,连教育都会成为给学生提供的产品,尤其在现在的制度文化放纵的美国。不过美国由于他之前某些划时代性创新,如半导体的发明,所积累的领先地位,无论如何,都会有精英追求真正的工作,当然现在比以前也少的多了。中国不然,还很落后,必须依靠明智的计划制度弥补多年的空白。

中国人基础科学做的牛的与国外相比的确比较少,而且大多在国外,这没有什么争议。中国的精英科学文化的确还远远差于西方,缺乏适当的传统,这只能慢慢建立,在这一点可以像很成功的日本学习一下。我感觉从某种角度而言,中国人还是非常缺乏日本人所有的那种为民族奉献的精神,这一点,老一辈是有,但是从改革开放上大学那一辈开始就基本消失了,受美国人的精神污染了。共和国头30年被迫隔离于美国大大推迟了,从某种角度,中国的经济发展,但是迫使了中国建立一种科技上自力更生的传统。随着改革开放,中国融入美国为主的体系,这种精神有了大大的涣散,但是也有遗留。比如我跟我的美国朋友说中国计算机上还未出过真正有国际影响的尖端产品,他却回答中国阻止美国网络公司而建立自己的网络企业是明智的选择不然早就被外国给吞下去了。中国封闭Google和Facebook的确很丢人,可是为了自己的经济实力和国家战略角度而言,此代价不用说是远远直得的。我也想到过,如果中国政府如五六十年代那样限制精英的个人自由绝对不允许出国留学的”彻底叛变”但是给他们远远更好地培养和工作安排,中国今天的科技水平会远远更高研制出远远更多的尖端技术产品,拥有独立的包括芯片及其生态系统(是包括操作系统和兼容的以后所有重要的应用软件)。

有人说中国快要超过美国了,我问在什么方面?他回“在所有方面。”我说在经济上凭中国的量加上整体水平相当高会很可怕的,但是以科技代表的质量还有很漫长的路要走,中国的尖端科技水平还是太落后了,有很漫长的路要走。中国人必须在学习先进国家的同时,发展出自己独特的科技研发的体系和风格,敢于采取在适当的情况下极端的措施为实现目的,不要太在乎别人的看法,尤其美国的看法,因为中国现在已经有足够的实力和好的趋势支撑全心全意的追求自己的道路。

有一位从中国过来的在计算机行业工作的人有一次跟我说“ABC最惨,既不能当美国人又失去了当中国人的机会。”他觉得在美国的华人作为被动的少数民族是非常可怜的。在看到哈弗大学对华裔学生的系统其实被证实的情况下,我自己也会说,凭自己的经验,天分高的华人与他们能力复合的培养和发展机会是相对难的,导致华人的水平和地位低于他们的天分,与白人相比。美国的体制把好多先天很好的中国孩子搞坏,不光在事业上,同时也给他们一些自我认同问题。这些人如果留在中国,在得到足够政府支持的情况下,能为中国作出伟大的贡献而非在美国被荒废掉。不光是他们,还有他们的子孙。由于移民制度对高智商的筛选(大略,移民率是智商的单挑函数),在美国的华人的智商分布会有很粗的右尾巴,但是美国种族配额和歧视能容纳的给华人的高智商发展机会是有限的,很多华人必然怀才不遇,大材小用。

我小学一年级来美国,但慢慢的发觉美国文化有很多非常骗人的地方,所以要防止洗脑啊。在了解美国文化和体质和学习美国好的东西的同时,阅读中文,学习俄文,接触欣赏苏联和中国的红色基因给了我对世界更多元化的认识。虽然前苏联已经大败解体了,未能全面,即使在科技的范围内,追上美国,它依然做出好多精彩的结果,以严峻危机所促进的革命性的新制度实现了奇迹,震惊了世界,给了当时贫穷落后受列国欺凌的中国适当的启发和榜样,也提供了决定性的科技知识和援助,让中国千年的古文明在近代战火的背景下浴火重生,直到今天,面临着超级大国的地位。苏联创造的新制度,新文化给世界留下了宝贵的财富,在科学上,在艺术上,在政治思想和体质上。我觉得苏联的那套远远的更符合中国的国情,尤其与美国相比,中国应当把苏联的东西适当的与自己的文化和情况相结合,把社会主义带到前所未有的高峰。当然,中国若要真正成为前苏联那样的超级大国,必须先成为科技强国,做一些颠覆性带领潮流的首先,像苏联的航天那样,而非仅在别人的核心工作基础之上做出一些实用性科技。这需要自信而系统的发挥自己文化和体质的强点和独特之处,大胆的投入长期的核心科技研发和基础探索,促成更多的不同尖端领域的独特文化和群体。中国精英知识分子要多发扬先辈所继承的革命精神,非崇洋媚外,敢于挑战权威,创造新的奇迹载入史册。

Harvard’s discrimination against Asian-Americans

It was revealed last week or so that Harvard systematically rates Asian-Americans lower on personality, on subjective traits such as “positive personality,” likability, courage, kindness and being “widely respected.” I’m not surprised at all by this. Though they could have at least been a bit smarter about this by keeping this shit off the record. Now the investigators could actually reveal something about their process to the public that would undermine the institution’s credibility.

Though I am an Asian-American, I will not try to pretend. It’s so far for Harvard’s institutional interests more or less rational to do what they’re doing. Asian-Americans have very little power and influence over the institution. Sure, there is no shortage of prominent Asian-Americans professors at Harvard, mostly in STEM, but they don’t actually have all that much influence over the institution, and are mostly being used by the institution to advance its own academic reputation. The same goes for being an Asian academic undergrad admit (who can, say, win a high place for Harvard at the Putnam Contest). There is also the implicit assumption that because Asians face race-related disadvantages in the career game, especially in the corporate world, due to unconscious bias, lack of ethnic affinity networks, etc, they should be penalized, as future career success, of a form not perceived as too threatening to the current elite, is crudely what admissions is optimizing for. So, life is not fair, get used to it, and do the little that you can to try to make things more fair (or more in your favor).

I’ve actually seen some not actually very talented Asian-Americans without hooks who did make it to HYP under very striverish behavior. They played the game of try hard resume optimization, of appearing less Asian. The thing is that most of those people end up not well at all after graduation. Don’t think that HYP guarantees a good job. There is no guarantee is today’s world. Those people did too little in terms of developing actually employable skills. What they got by playing the college admissions game was essentially a pyrrhic victory. Actually competent state school kids do much better than them in the workplace. So, don’t be stupid like that.

Even many actually smart Asian-American HYP grads don’t do all that great. A common outcome is a merely solid engineer at a respected technology company. Some go to a top grad school, but success much depends on the field. Academia has very few openings nowadays, though for engineering, due to industrial demand, it is much less competitive than math or science. A common route of course for the really technically exceptional is quant finance, though those positions tend to be taken by immigrants, who generally undergo a much more rigorous STEM education with less distraction compared to what Asian-Americans receive. The thing is that so many people are irrationally desperate to attend an elite school. Some middle class parents will burn a fortune to send their kid to some fancy prep school full of rich kids, where they easily end up at the bottom half of the school’s social hierarchy, let alone for an elite university. They lose sight of the fact that in many if not most cases, major determines what you do much more than school. There are many cases of these try hards wasting much time, money, and stress for nothing.

Like it or not, America is still very much a white country. Asian-Americans can and should try, but they shouldn’t realistically expect equality. If Chinese parents really want their son to become a lawyer or politician, they should probably stay in China. It’ll be hard there as well, but your odds of success will be probably at least an order of magnitude higher than in America. Here, I use only the male qualification of child in light of how “on average, Asian American women received higher personal ratings and extracurricular ratings than Asian American men.”[3] This is, of course, consistent with what goes on in the real world as well. And it is expected, considering how historically, sexism and racism have always gone together.

A while ago, I wrote on here a rather cynical (or whatever you call it) piece in Chinese regarding elite US schools, which to my pleasant surprise a Chinese international of my acquaintance who attended Harvard commented on affirmatively. Its title has somewhat of a sensationalist provocative vibe to it, translated to English as “American elite universities as a political tool for brainwashing and uplifting (pseudo) elite of Chinese descent.” Of course, I have more or less the highest regard for the STEM being done at these top American institutions, though maybe it is a bit overrated. Much of the humanities and social science coming from those places I find quite questionable though, and that goes along with the cultural and political values fostered by these institutions. On that, I brought up how the former unsuccessful regime of China, the Republic of China, was led and run largely by Chinese graduates of Ivies of their time, who were but superficially Westernized and modernized Chinese. Despite their graduating from these elite schools, they lost the civil war and failed to modernize China, though perhaps that also had much to do with their being in the wrong time. Certainly though, many of the elite Chinese who played prominent roles in China’s modernization from the 50s on did advanced study in STEM in these top American schools. I’ll say that from my experience, it certainly does seem that these schools tend to select for Asians whose social and political viewpoints, often not very grounded on reality, tend to fit them into the aforementioned category, like Jeff Yang, with whom Steve Hsu had a debate. This is of course part of the pattern of American elites’ desire to bring elites of other countries into their circle, in a sufficiently subordinate position. On this, I’ll say how I’ve read comments on how over past half century or so, affirmative action by Harvard and other Ivies has won for American elites not only (a facade of) charity but also cultural and ethnic representatives to advance their interests in, say, African countries. For that, Harvard was useful as a binding force. Surely, Harvard has always played a quintessential role in persisting the rule and influence of the current American elite throughout the world, and like it or not, kissing the ruler’s ass is almost always the easiest way to rise up on the social ladder. In Chinese, to be America’s dog is spoken of as pejorative, but so what, there were and are too many small countries willing to do so, because it brings them, their elites in particular, much economic and political benefit.

Asians tend to be pretty obsessed with prestige. Chinese are very, and Koreans are especially so. In the 80s and 90s and 00s, a degree from a prestigious or good American school was much an upper mobility ticket in China. Now, this is much less so, because there are too many such Chinese now, and also maybe because people in China have increasingly realized that maybe these people aren’t actually all that good, in spite of their brand-name American school. A PhD from MIT from China once told me that now in China, companies are increasingly reluctant to hire “sea turtles;” you have to pay them more, when more often than not, you can find a local guy who can do the job as well or better for much less. This is a sign of devaluation of elite American institutions, and I believe this will continue, given the relatively low level of STEM education and preparation in America (which is impossible to hide to any actually smart, scientifically literate person) along with America’s overall decline.

The short-sighted and personally motivated decisions of the intellectually mediocre and politically delusional American elite over the past generation are, cumulatively, really taking its toll now, on the American economy and the credibility of its ruling class. Their elite institutions, nepotistic and corrupt in its admissions, are losing the public’s trust and alienating Asian-Americans especially, many of whom moved to a foreign country speaking little English with too much blind faith in the so-called American Dream that they sought for themselves and more so for their children. American elites may have thought that they themselves could neglect STEM, that there are plenty of talented foreigners, many of whom Asian, willing to do those jobs indefinitely, often grossly under-compensated and with their American-born, American-raised kids facing higher hurdles in education and at work. This might have been so decades ago, when in their home countries, there was still lack of economic opportunity for smart people. Nowadays, there is a booming and internationally competitive high technology sector in China, with India going that direction as well, in spite of brain drain into America. Collectively, the STEM expertise has over time not only grown itself but transformed into significant leverage for the group, so much that the elites running Harvard need to resort to rogue tactics to preserve themselves. I don’t exactly blame them. It’s just like how people who go the bullshit business and social climbing route do so largely to compensate for their inherent intellectual deficit; at least to me, that’s never a pleasant or honorable position to be in. But what else can you do, if not to accept defeat? I can already foresee such an entrenched group fighting desperately for its own survival. Harvard will do all that it can to get away with what it’s doing right now amidst much backlash. And it’s an extraordinary rich, powerful, well-connected institution, much able to manipulate the outcomes. Either they win, or they reform themselves accordingly, or they become slowly sidelined. We’ll see. I just hope they don’t resort to even nastier tactics. Though that tends to happen when power and survival is at serious risk.

References

[1] http://infoproc.blogspot.com/2018/06/harvard-office-of-institutional.html

[2] http://infoproc.blogspot.com/2018/06/harvard-office-of-institutional_21.html

[3] http://www.latimes.com/opinion/op-ed/la-oe-lee-harvard-legacy-student-advantage-20180622-story.html

[4] https://www.youtube.com/watch?v=gekcNqlHptM

More evidence for my hypothesis on South Asians vis-a-vis East Asians

Link to comment on Steve Hsu’s blog. The “my hypothesis” in the title is with reference to one of my previous blog posts. Content copy-pasted below.

https://www.imo-official.or…

In pure-visual ability, above data clearly indicated East Asian ability. Naturally they excel in STEM field.

But in silicon valley, South Asian engineers move up easily in corporate world. Advancing in corporate world is depending more on social skill than engineering skill. South Asian also display strong social skill as result of people from high density origin.

Some Chinese American engineers told me about their experience in silicon valley. They did most work while Indian colleagues seems not able to do much. But once the project is done, these Indian colleagues are fantastic at putting everybody’s work together and present to the superiors. These Indian American are natural conference presenters. Good social skill gets all credits for career advance.

Indeed, making other thinking you smart is more important than wether you are really smart in subjective world (social dependency world). This is so true for most part of world.

When objective measurement is criteria, you get totally different picture because God is judge here. Human opinion is meaningless.