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姜海舟:街道

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回忆的空虚走进房顶上陈旧的框架; 随着屋子,旋转起轻快的人群。 灰色的老路,形成了几种习惯; 并非撑起频繁出现的,消极的门槛; 和共同支持光晕摇动中的顺序。   想要说出无足轻重的要点,寻思 全面的 ..
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viceversa
3227 days ago
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西文标点拾趣

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频繁见于西文排版中的许多标点符号,有着悠长的渊源。在数码时代,一些符号在网络上获得了新身份,一些在印刷排版中却愈发少见。我们不妨回头探寻一番属于它们的古老故事。
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viceversa
3678 days ago
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Twitter Timeline Height

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Twitter Timeline Height

If our Twitter timelines (tweets by the people we follow) actually extended off the screen in both directions, how tall would they be?

Anonymous

This is a surprisingly tricky question. The answer involves German tanks, human extinction, and the most disputed statistics problem on the internet.

But first, Twitter.

Lots of tweets

The answer obviously depends who you follow. Some people tweet a lot more than others.

@JephJacques, the author of Questionable Content, tweets a lot. His contribution to your timeline will be 36,000 tweets and rising. On the other hand, if you follow people who don't tweet very much, it's possible your timeline to date could fit on a single screen.

According to an analysis by Diego Basch, as of last year the "average" Twitter account had tweeted 307 times and was following 51 people.[1]Diego Basch, Some Fresh Twitter Stats (as of July 2012, Dataset Included) (Dataset not included.) But averages can be deceptive;[2]If Larry Ellison, who made $96 million last year, moves into a typical town of 3,000 people, the average income in that town will double overnight. most Twitter accounts had never even tweeted at all, or have only one follower.

To get an idea of the typical timeline, I asked some friends to take a snapshot of their Twitter homepages and count the rate of tweets at that particular moment. The results covered a wide range—some were seeing 20 tweets per minute, some 20 tweets per month.

Correcting[3]Multiplying by a random number between 0.5 and 1 for the time of day and extrapolating[4]Filling a spreadsheet with numbers until I ran out of columns backward based on Twitter's growth rate, this suggested some timelines currently contain hundreds of tweets and some contain millions.

On my computer's monitor, the average tweet is about 2.4 centimeters high.[5]Citation: I just measured. You can measure, too, but you'll have to use your computer instead of mine. I'm using mine now to type this, so I need to be able to see the screen. This suggests that Jeph Jacques' tweet tower is 900 meters tall—taller than the tallest building—and still growing.

However, Jeph has nothing on @YOUGAKUDAN_00, who tweets many times per minute—usually binary, but sometimes actual words. @YOUGAKUDAN_00 has accumulated 37 million tweets, enough to reach into low Earth orbit.

Combining Diego's July 2012 estimate with the current rate of tweets per day suggests there have been a total of about 345 billion tweets as of October 2013. That means that if you followed every Twitter user, your timeline would be eight million kilometers high. For comparison, here's the Earth, with your Twitter timeline next to it:

Of course ... that's just the part of the timeline below the screen. What about the whole timeline?

Someday, the last person you follow will tweet for the last time. When will that be?

The future

Our timelines aren't really as tall as skyscrapers—even virtually–because Twitter limits the number of past tweets you can see by scrolling. But can we estimate how tall our timelines will eventually be?

Based on human lifespans, it seems likely that most of the accounts you follow will stop tweeting within a century. On the other hand, accounts like @big_ben_clock could keep going for millennia.

But will Twitter last that long?

It's obviously impossible to predict for sure, but there's a strange tool from statistics that might help.[6]Predict the end of Twitter with this 1 weird old tip!

Or might not. It depends who you talk to.

German tank problem

Suppose you're transported to an alternate universe. You open IMDb and load a random page, and the movie that comes up is The Land Before Time XXVII.[7]27

Based only on the title, how many Land Before Time movies do you think there are in this universe? Clearly there are at least 27, and probably more.

Allied troops faced a version of this problem in World War II.[8](A flood of Axis-produced Land Before Time sequels.) German tank parts had serial numbers, many of which were sequential (1, 2 ... N). Suppose they captured a random tank. If they determined it was Tank #27, then they can be sure that the Germans had made at least 27 tanks. It also told them there probably weren't millions of tanks; if there were, they would have been unlikely to get a two-digit serial number.

Of course, the enemy can foil this plan by giving their tanks random large serial numbers. The US actually did that in 1981—the Navy named its elite counterterrorism unit "Seal Team Six" to confuse Soviet spies into thinking there must be at least five other teams out there.[9]Pfarrer, Chuck. "Team Jedi." In SEAL target Geronimo: the inside story of the mission to kill Osama Bin Laden. New York: St. Martin's Press, 2011. Loc 594/3898.

Assuming the numbers are sequential, using clever Bayesian math, you can guess the actual number from a sample of tanks pretty reliably.[10]In addition to the Wikipedia article, there are good discussions of the solution on Statistics Blog and Event Horizon

If you have only a few samples, the math gets a little trickier.[11]The problem is that you're forced to select a "prior"—an initial hypothesis about how likely each number of tanks is. Usually, people just assume there's an equal chance of every number of tanks. But mathematically, this assumption plays fast and loose with the math. The idea of having "an equal chance of getting every number from 1 to infinity" doesn't work in probability; technically speaking, it violates Kolmogorov's Second Axiom. With one sample—as in our Land Before Time problem—the best strategy is probably to take the number you've seen and double it. This suggests that there are probably about 54 Land Before Time Movies.

The idea is that you're likely to be somewhere in the middle of the range—there's only a small chance that you're looking at one of the first or one of the last movies.

Things get weird

If we apply the German tank problem to humans, we can argue that our species will go extinct by the year 2807. 2243.

Here's the argument:

Humans will go extinct someday. someday.[^extinct] Suppose that, after this happens, aliens aliens[^aliens] somehow revive all humans who have ever lived. They line us up in order of birth and number us from 1 to N. Then they divide us divide them into three groups—the first 5%, the middle 90%, and the last 5%:

Now imagine the aliens ask each human (who doesn't know how many people lived after their time), "Which group do you think you're in?"

Most of them probably wouldn't speak English, and those who did would probably have an awful lot of questions of their own. But if for some reason every human answered "I'm in the middle group", 90% of them will (obviously) be right. This is true no matter how big N is.

Therefore, the argument goes, we should assume we're in the middle 90% of humans. Given that there have been a little over 100 billion humans so far, we should be able to assume with 95% probability that N is less than 2.2 trillion humans. If it's not, it means we're assuming we're in 5% of humans—and if all humans made that assumption, most of them would be wrong.

To put it more simply: Out of all people who will ever live, we should probably assume we're somewhere in the middle; after all, most people are.

If our population levels out around 9 billion, this suggests humans will probably go extinct in about 800 years, and not more than 16,000. go extinct within about 230 years.

This is the Doomsday Argument.

Yeah, but that's stupid

Almost everyone who hears this argument immediately sees something wrong with it.

The problem is, everyone thinks it's wrong for a different reason. And the more they study it, the more they tend to change their minds about what that reason is.

Since it was proposed in 1983, it's been the subject of tons of papers refuting it, and tons of papers refuting those papers. [14] [16] Nick Bostrom, A Primer on the Doomsday Argument There's no consensus about the answer; it's like the airplane on a treadmill problem, but worse.

What does this mean for Twitter?

Let's assume the Doomsday argument is valid and apply this reasoning to Twitter. Since there have been 345 billion tweets so far, then the best guess about Twitter's total lifetime is that there will be 690 billion tweets.

At the current rate of 400 million tweets per day, this argument says Twitter has about five years left. And it suggests that there's a 95% chance Twitter will disappear within 45 years.

This certainly sounds reasonable—given the rate of technological change, there's no reason to expect an internet service to stay popular for more than 10 or 20 years.

But ... is the Doomsday argument valid?

If we see Twitter activity winding down in 2018, then will that be evidence in favor of the Doomsday argument? And if so, does it suggest that humanity has only two centuries left?

Probably not. But it depends which statisticians you ask.

On the plus side, they seem to have stopped making The Land Before Time sequels in 2007, so at least we stand a good chance of avoiding that particular scenario.

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viceversa
3866 days ago
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2 public comments
jeffc
3865 days ago
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#twitterdoomsday
skorgu
3867 days ago
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230 more years seems reasonable.
imightbebill
3865 days ago
I was cracking up at teh Big Ben twitter feed. :)

BioWorkZ 手绘动物插画

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来自BioWorkZ 的一组细腻华丽的手绘动物插画。

Ben Yin-Pan Kwok has been in the apparel industry as a graphic artist for various companies for the past 7 years. From working with well established companies, to working closely with start up brands. Has a wide range of styles. From kids designs, trendy graphics, to vintage. Very capable in both hand drawn illustrations and digital artwork.

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

BioWorkZ 手绘动物插画

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viceversa
3926 days ago
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Quantum Mechanics

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You can also just ignore any science assertion where 'quantum mechanics' is the most complicated phrase in it.
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viceversa
3936 days ago
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XDD
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carsonb
3934 days ago
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so true
Peoria, Illinois

欧洲游学 Strolling campus in Europe

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1988年,同济大学收到一封寄自荷兰的来信,写信者为一研究中国古迹的学者,他询问有关‘鲁班经’的问题,院长将这封信交给他的研究生处理回复。那一时,我知道了荷兰有个莱顿大学。那位学者的姓,我依稀记得。图书馆目录中,好像有他的著作。

从阿姆斯特丹到莱顿,只消30分钟火车。对座的年轻人在啃着书本,这位女青年读着‘土耳其历史’,另一位读的不是英文,但可以依稀认出,是‘临床心理学’,欧洲文字总有相似的地方。

莱顿小城内,河水环绕,草坡小街在河的两侧,教堂和风车在河滩边高高耸立。 中国的公园都是硬质驳岸,荷兰的草坡没入水塘,芦苇在塘边摇曳。密集的水边植物净化了河水,到处是闪烁的水光天色。水天前的草地上,年轻人在晒太阳叹人生,这座古城,是为大学生服务的。

莱顿大学,是荷兰最古老的大学,建于16世纪,那个世纪末,有驻外使节从土耳其带回郁金香的花苞,就在这所大学的药用植物园培植,掀起了荷兰和欧洲的郁金香热。过了4-5百年,这建筑和植物园依然在用。也只有这种古老的大学,才会对中国和汉学感兴趣。(以下图片为莱顿大学老楼,500多年历史;鲁汶大学校园和建筑学院。这个软件设计得不友好,一堆图片上来很不方便,秩序也乱了。)

02-03 02-04 02-02 02-01 01-02 01-01往南走,到了比利时。布鲁塞尔东去25公里,是鲁汶镇。镇的边缘,是庞大的天主教鲁汶大学。鲁汶大学的建筑系,设在古堡中,古堡外的庄园,大树参天,草地小径,河水潺潺。英国的剑桥和牛津可以一比,但剑桥牛津的校园和草地比较几何规整,诺丁汉的老校园自然风光漂亮,但房子比较密集。鲁汶的校园,像世外桃源。才女w博士在这里修读,我说,这是一心只读圣贤书的地方,你住这里,此生有福。

布鲁塞尔市内的自由大学,和欧洲澳洲市区里的大学差不多,校园稍嫌拥挤,前后都是马路。而巴黎的大学,统统是城市大学,街道烦乱,咖啡馆服装店书店混杂,街口一缩,就是某某大学,动辄有200年历史。建筑学院则不归属于任何大学。巴黎的4所建筑学院,只培养建筑和规划两种人才,都在因地制宜的旧房子里运作。那天早上,大雨倾盆,上海才子小宅博士陪我去美丽城学院,那地方多住劳动人民,所以法共在那里安营扎寨。我们在穷区里走了几百米,虽然打伞,但身上全湿。我建议在服装店门口暂歇,小宅说,再冲10米就到啦。

美丽城大学的校舍,原是一间高中,这几年加建了一截。在阳台上从这一翼穿到那一翼,可以清晰地见到周围住家的阳台,阳台桌子上放的早餐。欧洲的城里,常令我闻到上海弄堂的味道。一个房子装建筑学院,好像也够了。这学院里,有文凭、硕士、博士课程。有地方展览、上课、看书、开会,有图书馆、咖啡室、教师职员办公室。一出大门,街道四通八达,全是饭店小馆,在这里面读建筑,对城镇街道有直面的感觉。学生多数公共交通来,也见到踩单车、骑摩托、滑板车来的。一眼看去,女生不少。展览出来的学生功课,和其他院校差不多。世界各地的建筑院校,在做的东西,其实都大同小异。法国公立学校的好处,是外国留学生都不必交学费。

英国人美国人玩什么排名游戏、引用率游戏。法国人可不理这套。图书馆里的书籍杂志,多为法文。拉丁区的街上,成日坐满客人,啤酒在手,眼睛放光,艳阳下午,高谈阔论。就这么坐了2百年,法国仍(号称)是地球上的头等舱。

03-1 03-2 03-4 03-5 03-7


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viceversa
3936 days ago
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