On Paradigms of Problem Solving

In  the 19th century, engineering was almost a synonym of mechanical engineering. A typical way to solve problems at that time was 1. analyzing the mechanical structure, 2. building the machine with gears and wrench and 3. using steam engine to drive the machine.


Steam engine was a revolutionary innovation as it introduced a “paradigm” for problem solving. If you have a mechanic description of your problem, steam engine can take care of the rest. There were tons of derivative innovations following this “paradigm”, such as plane, steamship, submarine, automobile and so on. (some of them used internal combustion engine, an improvement of steam engine). Theoretically, steam engine and its derivatives can solve any mechanical problem. What people need to do is to describe the problem in a “mechanical language.”


In contrast, nowadays people have been accustomed to resort to computers when they have problems. Computer is another revolutionary innovation because it provides a similar paradigm. A computer is basically a calculator that can do additions very fast. Since all arithmetic operations can reduce to additions, computer provides us the ability to solve any arithmetic problems that can be described by computer languages.  The paradigm for computer is 1. formulating an arithmetic model, 2. proposing an algorithm and 3. running the algorithm with computers.


Steam engines and computers share some common points. Both of them provide a good solution for a fundamental problem: steam engines deal with the problem of “generating rotary movement with a strong force” and computers deal with the problem of “doing additions in a fast way”.


We solve problems by paradigms, namely we divide a problem into a large sequence of “fundamental problems” and solve them with a “problem solver”. The figure below shows the paradigm for steam engines and computers.

Why we need paradigm?

Paradigms can save us time. The real world is too complex and we cannot do everything well. A reasonable way is to solve a small set of problems perfectly and to transform the problem we want to solve into these problems.


Why we need to be cautious about paradigms?

Every innovator needs to be cautious about paradigms. Every paradigm has its own limitation. A paradigm can be very good for some problems and very bad for some others.


It is awesome to use steam engines (or its derivatives) to solve transportation problems. However, it will be very inefficient to use it to solve communication problems.

In the pre-information age when most communications were done by mails, a lot of people tried to improve communication efficiency by inventing faster mail vans.  They innovated in their familiar paradigm, but none of them is remembered by us. The problem of communication efficiency was not solved by faster mail vans but computers and the Internet.


Similarly, computers also have drawbacks. Whenever we face a problem nowadays, we subconsciously resort to computers  (by writing apps or algorithms). However, computers are powerful, but definitely are not omnipotent.


For example, short battery life is the bottleneck of electric cars. Tesla uses normal chemical batteries provided by Matsushita and its secret sauce is its power management algorithms. Although Tesla has done a good job, its solution still follows the paradigm for computers. The battery life problem is an energy problem, which cannot be modeled as arithmetic operations. The fundamental problem here is “to store a unit of energy”, which hasn’t been solved well yet.



Another hilarious example is this mad mother who created a app to lock his son’s phone when he doesn’t respond. The problem here—-“improving the mother-son relationship”– is definitely not an problem that computers are good at.


Summary of “The Most Powerful Idea in the World: A Story of Steam, Industry, and Invention”

Recently I finished reading the book The Most Powerful Idea in the World: A Story of Steam, Industry, and Invention. The author’s key statement is that industrial revolution was first and foremost, a revolution in invention, and the industrial revolution took place in England because “its unique combination of law and circumstances.” Here are some interesting sentences from the book.

  1. Before the eighteenth century, inventions were either created by those wealthy enough to do so as a leisure activity (or to patronize artisans to do so on their behalf), or they were kept secret for as long as possible. In England, a unique combination of law and circumstance gave artisans the incentive to invent, and in return obliged them to share the knowledge of their inventions.
  2. Papin was an industrial scientist before there was an industry to employ him, which made him, in consequence, completely dependent on patronage.
  3. The most powerful pumps in use in seventeenth-century England were operated by waterwheels, but nothing obliged rivers and streams to be convenient to mines; finding an alternative machine that could overcome water’s tendency to seek the lowest level of any excavation meant that vacuum was no longer a purely philosophical concept.
  4. IN ITS ORIGINAL MEANING, the word “patent” had nothing to do with the rights of an inventor and everything to do with the monarch’s prerogative to grant exclusive rights to produce a particular good or service.
  5. In Darcy vs. Allein, Chief Justice Popham ruled that Darcy’s grant was forbidden on several grounds, all of which violated the common law. Crown could not grant a patent for the private benefit of a single individual who had shown no ability to improve the “mechanical trade of making cards,” because by doing so it barred those who did. In other words, the court recognized that the nation could not grant an exclusive franchise to an individual unless that individual had demonstrated some superior “mastery” of a particular trade.
  6. The term of the patent was not to exceed fourteen years, a figure that makes sense only in terms of the artisans for whom Coke was so solicitous. Since the traditional seventeenth-century apprenticeship lasted seven years, a term of fourteen years would allow at least two cycles of apprentices to have been trained in the new industry, and therefore a generation of artisans to demonstrate their mastery of the new art.
  7. The first, the so-called civil law tradition, is a direct successor to the jurisprudence of the Roman Empire, and it dominates most of the legal systems of continental Europe; the second is the institution known as the common law, used in Britain and its former colonies.
  8. As Coke put it, under the common law, every man’s house is his castle, not because it is defended by moats or walls, but because while the rain can enter, the king may not; under the civil law, the king is bound by nothing at all.
  9. Recognition of a property right in ideas was the critical ingredient in democratizing the act of invention. However imperfectly, Coke’s patent system, combined with Locke’s labor theory of value, offered a protected space for inventive activity. The protected space permitted, in turn, the free flow of newly discovered knowledge: the essence of Francis Bacon’s program. Once a generation of artisans discovered they could prosper from owning, even temporarily, the fruits of their mental labor, they began investing that labor where they saw the largest potential return. Most failed, of course, but that didn’t stop a trickle of inventors from becoming a flood
  10. An adult human is able to convert roughly 18 percent of the calories he consumes into work, while a big hayburner like a horse or ox is lucky to hit 10 percent—one of the reasons for the popularity of slavery throughout history.
  11. One can make a water mill more powerful, but one cannot, in any measurable way, reduce its operating expenses. The importance of this can scarcely be underestimated as a spur to the inventive explosion of the eighteenth century. So long as wind, water, and muscle drove a civilization’s machines, that civilization was under little pressure to innovate. Once those machines were driven by the product of a hundred million years of another sort of pressure, innovation was inevitable.
  12. It is almost irresistibly tempting to see Watt’s life as the embodiment of the entire Industrial Revolution. An improbable number of events in his life exemplify the great themes of British technological ascendancy. One, of course, was his early experience with the reactionary nature of a guild economy, whose raison d’être was the medieval belief that the acquisition of knowledge was a zero-sum game; put another way, the belief that expertise lost value whenever it was shared. Another, as we shall see, was his future as the world’s most prominent and articulate defender of the innovator’s property rights. But the most seductive of all was Watt’s simultaneous residence in the worlds of pure and applied science—of physics and engineering. The word “residence” is not used figuratively: The workshop that the university offered its new Mathematical Instrument Maker was in the university’s courtyard, on Glasgow’s High Street, a bare stone’s throw from the Department of Natural Philosophy.
  13. Like an ever-growing percentage of his countrymen in the newly United Kingdom, Watt had acquired the tools necessary for scientific invention—the hands of a master craftsman, and a brain schooled in mathematical reasoning—without the independent income that could put those tools to work exclusively for the betterment of mankind.
  14. Watt needed capital. Investment capital, however, wasn’t easy to find in 1765 Britain; and it was a lot harder than it had been fifty years earlier. The reason was one of the greatest financial bubbles in history, the collapse of the South Seas Company.
  15. Though the most famous inventors are associated in the popular imagination with a single invention—Watt and the separate condenser, Stephenson and Rocket—Watt was just as proud of the portable copying machine he invented in 1780 as he was of his steam engine; Stephenson was, in some circles, just as famous for the safety lamp he invented to prevent explosions in coal mines as for his locomotive.
  16. Inventors are significantly more thing-oriented than people-oriented, more detail-oriented than holistic. They are also likely to come from poorer families than non-inventors in the same professions. No surprise there; the eighteenth-century Swiss mathematician Daniel Bernoulli,11 who coined the term “human capital,” explained why innovation has always been a more attractive occupation to have-nots than to haves: not only do small successes seem larger, but they have considerably less to lose.
  17. If the most important invention of the Industrial Revolution was invention itself, the automation of precision has to be one of the top three.
  18. Micrometers, devices for measuring very small increments, were then only about thirty years old; James Watt himself had produced what was probably the world’s first in 1776, a horizontal scale marked with fine gradations and topped with two jaws, one fixed and the other moved horizontally by turning a screw.
  19. The availability of patent protection was, predictably, motivating inventors to make more inventions; it was also motivating them to frustrate competing inventions from anyone else.
  20. Nearly fifty years later, the first description of the spinning jenny (“jenny” is a dialect term for “engine” in Lancashire) appeared in the September 1807 issue of The Athenaeum, in which readers learned that the first one was made “almost wholly with a pocket knife.
  21. Prior to the introduction of the jenny, Britain’s spinning was performed largely by what we would call independent contractors: the original cottage industrialists, taking raw materials from manufacturers who “put out” for contract the production of finished fabric.
  22. One of the more obdurate rules of economics, however, is that, given their capital demands, factories are preferable to more flexibly “outsourced” labor only if they are more productive.
  23. A great artisan can make a family prosperous; a great inventor can enrich an entire nation.
  24. Smith argued that two conditions were necessary for labor to produce the maximum amount of wealth: perfect competition among sellers—everyone pursuing his or her selfish interest, the famous “invisible hand”—and the complete freedom of buyers to substitute one commodity for another.
  25. A family living alone grows its own wheat and bakes its own bread; it takes a village to support a baker, and a town to support a flour mill. Some critical mass of people was needed to provide enough customers to make it worthwhile to invest in ovens, or looms, or forges, and until population levels reached that critical level, overall growth was severely limited.
  26. Because knowledge is the sort of property that can be sold to multiple consumers without lowering the value to any of them—Romer termed it nonrivalrous.
  27. The remarkable growth of the Netherlands during the 1600s essentially stopped a century later, and the only persuasive reason is size, or rather scale. A small country can shelter the world’s largest banks, shipbuilders, and even textile manufacturers, but since it can protect inventors only from their own countrymen, growth that depends on the creation of new knowledge is fundamentally unsustainable, like a nuclear chain reaction with insufficient critical mass.
  28. that heat and motion are essentially the same thing. This was critical, and surprisingly slow in coming.
  29. Fitch’s steamboat was not, as many histories have it, the world’s first. In 1772, two ex–artillery officers in the French army, the Comte d’Auxiron and Charles Monnin de Follenai, received a fifteen-year exclusive license to run a steamboat along the Seine. Unfortunately, their first attempt, a marriage of a Newcomen engine to a Seine bâteau, was less than successful: the engine was so heavy it sank the boat. Slightly more successfully, in 1785, the Marquis de Jouffroy d’Abbans took a 140-foot boat mounting a Newcomen-style engine out on the Saône from Lyon. He did make it all the way back to the dock, where cheering crowds met it—just in time, before the engine’s vibrations destroyed the boat.
  30. Evans was a visionary and a pioneer. But despite his prediction that “the time will come, when people will travel in stages moved by steam engines from one city to another almost as fast as birds can fly,” his greatest contribution to the history of steam locomotion was almost incidental: his decision to share the design of his boiler and high-pressure steam engine with his compatriots in Britain.
  31. Fusible plug is a small lead cylinder inserted into a predrilled hole in the wall of the engine’s boiler—a hole that, in a properly operating engine, would always be underwater. If, however, the water level in the boiler were to fall low enough to become dangerous, the heat would melt the lead plug,Trevithick’s engine, the first driven by high-pressure steam, earned him a considerable claim on the title “father of railways,” but the birth of steam locomotion was still a decade or so in the future. More important, though less romantic, was another of Trevithick’s innovations, one that was nearly as large an improvement over the first high-pressure design as that had been over the Boulton & Watt separate condensing

The Box

Recently I read The Box, a book about the history of container ships. This is book was recommended by Bill Gates — “you won’t look at a cargo ship in quite the same way again after reading this book.”  It indeed changed my view of the shipping industry and here is a summary of my thoughts.

Influence of Containerization

An immediate result of containerization is a sharp decline in international transportation costs, which resulted in an unprecedented globalization process and business paradigm shift.

Globalization is not a new phenomenon — the world economy was already highly integrated in the nineteenth century. However, the globalization caused by containership is quite different because it fundamentally changed the production process itself. 

Containerization significantly reduced the shipping cost among coastal cities between America and East Asia, which has abundant cheap and skilled laborers. As transportation costs decline, manufacturers could outsource their manufacturing overseas. Many American businesses only do research & design in the US and delegate the manufacturing to Original Equipment Manufacturers (OEMs) in East Asia. This new type of industrial paradigm would not be possible without container ships.

As a consequence, geographical disadvantage becomes a more serious problem. Because American consumers live in coastal cities, it no longer makes sense to manufacture in inland cities as the shipping costs by sea routes are so cheap. Doing business in those inland cities becomes much harder because of the overseas competitions. 

In east Asia, coastal cities also absorb all the foreign investment and markets. Guangdong and Jiangxi are two Chinese provinces that are adjacent to each other. However, the GDP per capita of Guangdong is almost twice that of Jiangxi. The reason is only that Guangdong is coastal while Jiangxi is landlocked.

To reduce the gap, inland cities have to invest heavily in transportation infrastructure to reduce the shipping cost, which is very challenging. 

Influence of Deregulations

The U.S. government played an interesting role in the history of containerization. The government regulations initially prohibited corporations to be involved in both land-based and sea-based transportations.

The initial goals of these regulations were to prevent monopoly and to ensure a fair price for consumers. However, the goodwills of lawmakers turned out to be a huge obstacle and made the cooperation among the shipping, railway, and trucking companies very challenging. Railroads and their customers could not negotiate long-term contracts setting rates. Trucks and railcars that had often been forced to return empty were able to be filled in on the return trip. 

Deregulation changed everything. In 1980, Congress freed interstate truckers to carry almost anything almost anywhere at whatever rates they could negotiate. 41,021 contracts were signed within five years and by 1988 U.S. shippers saved nearly one-sixth of their total land freight bill.

The ability to sign long-term contracts gave railroads incentive to adapt containerships. On average, it costs four cents to ship one ton of containerized freight one mile by rail in 1982 and that cost dropped 40 percent over the next six years, adjusted for inflation.

Although containers were supposed to help cargo move seamlessly among trains, trucks, and ships, it took 20 years since Malcolm McLean invented the first container for the industry to achieve the goal. The process could be much faster without government regulation. This interesting case is another example that shows that the government should keep itself away from the market most of the time. Governments are too slow to adjust themselves to the market due to bureaucracy, so the best way is to let the market speak for itself.



Tutorial to migrate from Bitbucket to Github

Install mercurial and hg-git

sudo apt-get install mercurial

sudo apt-get install mercurial-git

Note: The version of mercurial should be >= 2.8.

If the default version of mercurial in apt-get is < 2.8. You can install using pip

sudo pip install mercurial –upgrade

You need to create a repo on

Clone your bitbucket repo

hg clone hg-repo

Convert hg repo to git repo

Hg-Git can also be used to convert a Mercurial repository to Git. You can use a local repository or a remote repository accessed via SSH, HTTP or HTTPS. Use the following commands to convert the repository

$ mkdir git-repo; cd git-repo; git init; cd ..
$ cd  hg-repo
$ hg bookmarks hg
$ hg push ../git-repo

The hg bookmark is necessary to prevent problems as otherwise hg-git pushes to the currently checked out branch confusing Git. This will create a branch named hg in the Git repository. To get the changes in master use the following command (only necessary in the first run, later just use git merge or rebase).

$ cd git-repo
$ git checkout -b master hg

Push the Git repo to Github Server

cd git-repo;

git remote add origin <github-url>;

git push -u origin master;

cd ..;

I also write a script to do this automatically.



The Personal Analytics of My Evernotes

Jing Conan Wang

Aug. 09, 2013

I started to use Evernote since around 2011. Recently the number of notes in my Evernote account has surpassed 5000. To celebrate this milestone, I wrote some python scripts to visualize my evernotes.

The easiest way to get the Evernote data out is to use the official clients. Both the windows and the Mac Evernote official client can export data in ENEX format. Unfortunately, the development team of Evernote decides not to develop any linux client in the near future, which makes the data export in linux very hard. It may be possible to get the data out using the cloud APIs. But requesting an API key is too cumbersome for this small project.

Although it is the most convenient way, exporting data in ENEX format still has two pitfalls:

First, ENEX is a customized xml format, and it contains some characters, particularly ‘&nbsp’, that cannot be correctly recognized by lxml module in python. To address it, I wrote a script ( to convert ENEX files to regular JSON files.

Second, ENEX file doesn’t provide information about the notebook a note belongs to. Fortunately, the Windows client provides a command-line program ENScript.exe that can export notebooks separately. I wrote a powershell script (export_evernote.ps1) to export the notebooks into a folder, in which each ENEX file corresponds to a notebook. Again I used to convert the ENEX files in the folder into JSON files.

Each note is associated with two timestamps–1. the ‘Created’ time and 2. the last ‘Updated’ time.

Here is a plot of the number of notes I created in each year. Considering that only 7 months is covered, the total number for 2013 should be around 2000. From the plot, I was the most addicted to Evernote in 2012, during which I created over 2500 notes.

The following plot is the number of evernotes I updated in each year. The number of ‘updated’ notes was high in 2011, whereas the number is decreasing over the past two years. In 2011 and the first half of 2012,  I used a Mac Evernote client in my Macbook pro. After that, I switched to a Thinkpad x230 with Ubuntu 12.04, in which the only usable option is the web application ( Updating notes using Mac client is much easier than the web application, which may explain my decrease of note updates.


The following plot visualizes the number of notes I created in every month. There is a welcome note whose ‘created’ timestamp is Oct. 19, 2009. However, I signed up Evernote in Jan. 7, 2011. Why the ‘created’ time for this welcome note is Oct. 19, 2009? I guess this date is the birthdate of Evernote, and the ‘created’ timestamp was deliberately set as the birthdate of Evernote.

The following figure is the number of ‘updated’ notes in every month. Obviously, I suddenly stopped to update notes from May 2015, which matches the time I switched from Mac to Ubuntu. The updates were somewhat recovered since Mar. 2013, because I began to use Evernote as my GTD engines. I need to update my task lists and checklists.

The following two plots visualize the ‘created’ notes and ‘updated’ notes in week level. The number of ‘created’ and ‘updated’ notes during the 12th-14th weeks of 2012 are soaring.  During this time, I was busily preparing for the application of Google Summer of Code 2012. The efforts paid off, I was finally selected into Google Summer of Code 2012 in which I had a very wonderful experience.

Evernote provides a feature to tag notes. For each note, you can add as many tags as you like. Usually I don’t use this feature manually, but when I clip notes from my mobile phone and RSS reader, which I often do, tags will be added automatically. The following figure shows the time of tagged notes. The x-axis is the ‘created’ time and each y-coordinate corresponds to a tag.

I was heavily addicted to Google Reader (GR) when it was alive. In 2011, I often read GR in my iphone using MobileRSS, which added ‘MobileRSS’ tags when I clipped articles. Later, I was irritated when the app asked me to pay the second time after I upgraded to a newer IOS, ignoring that I had already purchased a pro version. As a result, I switched to Newsfy, which does not add tags automatically. After GR was shutted down in July, I switched to feedly together with many other disappointed GR users.

From 2012, I started to add tags manually. One missing feature in Evernote is to assign importance to each note like gmail. I emulated this feature by tag notes with @TOREAD, @✭ and @✭✭.

In Evernote, a notebook is a collection of individual notes. The following figure shows a stacked area graph of numbers of noted I created in each month. I started to use notebook feature systematically after April 2012. Before April, 2012, I mostly used evernote as an archive of web pages and dump most of notes into one notebook.  ‘Programming’ is one of the first notebooks I created, which was divided into more sophisticated categories later.

The ‘cybersecurity’ notebook, which is related to my research, dominated in May and the beginning of June of 2012. From May, 2012 to Aug 2012, my focus shifted to ‘GSOC’ , ‘Programming’ and ‘Python’, which dued to my participation of Google Summer of Code 2012.

There is a visible gap in Sep, 2012 when I had a vacation to recover from demanding work in the summer (that summer was very busy for me). I am a fan of classical music. Even in this busy summer, there were still a considerably large number of ‘Music’ notes. The ‘GSOC’ notebook disappeared after the google summer of code officially ended at Sep. 2012. Considering the number of created notes, the four notebooks I used the most are ‘Python’, ‘Linux’, ‘Music’, and ‘others’. The ‘others’ notebook was created in June, 2013 to store miscellaneous notes.

The following figure shows the number of ‘updated’ notes in every month for each notebook. An interesting observation is that few notes in the ‘others’ notebook is updated despite its considerable large size. This observation indicates that I rarely review the notes in ‘others’ notebook. This bad habit should be improved in the future.

The following two figures show the number of ‘created’ and ‘updated’ notes in every week for each notebook. For most notebooks, although the number of ‘created’ notes doesn’t change significantly, the number of ‘updated’ notes increased rapidly in the 12th week of 2013. The reason is that I categorized many notes manually in that week.

The blog is inspired by Stephen Wolfram’s blog: The Personal Analytics of My Life.

I fully agree with Mr. Wolfram that personal data is very useful and everyone should log their own life as much as possible. Evernote is a good tool to achieve this goal.

Surely there is more information I can dig out. But the information in this article provides a good starting point.  The source code of this project is available at:

If you are interested, you can try to analyze your Evernote data using these codes. Any suggestion, bugfix or improvement is welcomed.


Work Efficiently In the Information Age


Python Program Configuration


Python Code Optimization

Code optimization is very important, especially for dynamic language like python. Recently I finished a python program of Approximate Dynamic Programming. One part of the program was to use dijkstra algorithm to calculate the shortest path distance in the network. Since the network is really large(about 1 million node), the first version of code was really slow which took about 2000 seconds each run. After code optimization(it took me about 6 hours), each run just takes 0.2 second. This is incredible improvement.

I used the  the following tools during the process, which I highly recommend:

  1. python cprofile module  –> this is a builtin profile module
  2. runsnakerun –> this is a viewer of the cProfile output
  3. line_profiler –> this is line by line profiler

The usage of runsnakerun is quite easy, just use the following two commands
$ python -m cProfile -o <outputfilename> <script-name> <options>
$ runsnake <outputfilename>

line_profil\ is a line by line python profiler and its webpage is:

add profile decorator to the function you want to optimize
$ [-l/–line-by-line]

$ python -m line_profiler


Here are some tips to improve python performance:

1. in operator is really slow when the list is large. You may often use

if a in S:



          other thing

When S is very large, thousands, for instance, in operator will become a bottleneck.


A good way to optimize this is have list with binary value to indicate whether a element is in the set or not. Then the code will be:

if I[s]:

        do something


        do some other thing

Of course, it will use more memory.

2.   Call the library function as much as possbile.

Most of the library functions are highly optimized, or implemented in C++.  So if you can call library functions, don’t implement it by you self in python. The for loop in python is slow. You can use scipy vectors to accelerate the program. You should try your best to reduce the for loop in python.

3  Don’t check each time for rare case.
you may have list with 100 elemnent, you will receive a index may or may not within range(0, 100). If it is in the range return the corresponding value, otherwise return -1. but 99.99% of the time the index is in the range.  The bad is:
if idx < 1000:
B = A[idx]
B = -1
A better approach is:
B = A[idx]
except IndexError:
B = 1
Be careful that don’t use broad Exception, use specific type of Exception.



Digest of Henry Ford’s My Work and My Life

This is the reading digest of Henry Ford’s <My life and My work>. Henry Ford is among the group of able people who completely change the transportation of human beings and consequently shape our society.  He is a business man with great vision of the society. The real business leaders are always visionary and think big, that’s the reason why they are charismatic.

The Government is a servant and never should be anything but a servant.

Note: The government is not necessarily to be brilliant or productive by itself. The duty of Government is to make sure the most brilliant people in the society, no matter whether they are scientists, musician, entrepreneurs, or others, can have a safe and inspiring environment to use their brilliance.

Business men believed that you could do anything by “financing” it. If it did not go through on the first financing then the idea was to “refinance.” The process of “refinancing” was simply the game of sending good money after bad. In the majority of cases the need of refinancing arises from bad management, and the effect of refinancing is simply to pay the poor managers to keep up their bad management a little longer. It is merely a postponement of the day of judgment. This makeshift of refinancing is a device of speculative financiers. Their money is no good to them unless they can connect it up with a place where real work is being done, and that they cannot do unless, somehow, that place is poorly managed. Thus, the speculative financiers delude themselves that they are putting their money out to use. They are not; they are putting it out to waste.

Note: It is worse for the “good” money to be put into “bad” business than the “bad” money to be put into “good” business. By putting your money into a poor-managed company, you are actually endorsing the low-efficient production unit, which takes resources that should be available for more efficient business. The right approach to the problem of business to change its management, or simply shut it down and start over if management reform is not possible, but not to extend its life by burning more money.

George B. Selden, a patent attorney, filed an application as far back as 1879 for a patent the object of which was stated to be “The production of a safe, simple, and cheap road locomotive, light in weight, easy to control, possessed of sufficient power to overcome an ordinary inclination.” This application was kept alive in the Patent Office, by methods which are perfectly legal, until 1895, when the patent was granted.

Note: Any law can be misused, including the patent law. One thing need to be remembered, a good business needs patent to protect itself, not to attack others.

I believe that there is very little occasion for charity in this world–that is, charity in the sense of making gifts. Most certainly business and charity cannot be combined; the purpose of a factory is to produce, and it ill serves the community in general unless it does produce to the utmost of its capacity.

Note: Charity itself should not be abused. 99% of the charity in the world is just to satisfy people’s need of superiority, and it encourages nothing but laziness. The real charity is to provide the essential opportunity for poor people to earn their life by themselves.

The habit of failure is purely mental and is the mother of fear. This habit gets itself fixed on men because they lack vision. They start out to do something that reaches from A to Z. At A they fail, at B they stumble, and at C they meet with what seems to be an insuperable difficulty. They then cry “Beaten” and throw the whole task down. They have not even given themselves a chance really to fail; they have not given their vision a chance to be proved or disproved. They have simply let themselves be beaten by the natural difficulties that attend every kind of effort.

Note: It is just a matter of habit.

A country becomes great when, by the wise development of its resources and the skill of its people, property is widely and fairly distributed.

Note: The problem of China is not ideology. We don’t care about whether China is socialism or capitalism. What we care is whether people have the opportunity equality in the sense that the self-motivated people who want to earn their lives can get the resource they should have.

Perhaps no word is more overworked nowadays than the word “democracy,” and those who shout loudest about it, I think, as a rule, want it

Note: Look at Chairman Mao. Simply don’t trust politicians who shout loudest for democracy

The workingman himself must be on guard against some very dangerous notions–dangerous to himself and to the welfare of the country. It is sometimes said that the less a worker does, the more jobs he creates for other men. This fallacy assumes that idleness is creative. Idleness never created a job. It creates only burdens. The industrious man never runs his fellow worker out of a job; indeed, it is the industrious man who is the partner of the industrious manager–who creates more and more business and therefore more and more

Note: idleness create no value

The public was paying, and business was booming, and management didn’t care a

Note: 公司人数的快速增长并不代表公司的快速增长。The growth of payrolls does not necessarily mean the growth of the business. 我不明白为什么有的公司领袖会夸耀自己公司的人数规模,在我看来,创造了同样价值但是雇佣了更多的人并不值得夸耀。这不是创造了就业,这是降低了社会的效率。

An employer may be unfit for his job, just as a man at the lathe may be

Note: In the case that boss is unfit for his position, there are two options to increase the welfare of the society. The first option is to fire the boss and the second option is to fail the business. If the boss of the business is fired, there is some possibility that the business will recover, however the possibility is really really small, if not none. A more common case is that a business will be kicked out and a new company will replace it. The company is dead, long live the market. 我们总有一种情怀觉得要让给公司越长越好,公司寿命长对于这个社会并不是一定有益处的。公司的快速迭代是更好的让社会前进的选择。

I pity the poor fellow who is so soft and flabby that he must always have “an atmosphere of good feeling” around him before he can do his work. There are such men. And in the end, unless they obtain enough mental and moral hardiness to lift them out of their soft reliance on “feeling,” they are failures. Not only are they business failures; they are character failures also; it is as if their bones never attained a sufficient degree of hardness to enable them to stand on their own feet.

Note: I cannot agree more. If you can work only when you feel good, you are doomed to be a loser. Edit


Google Summer of Code 2012 !

I am thrilled that my project of “network malware simulation” has been accepted by Google Summer of Code 2012!  I will work on this project from May to August, and a new interesting open source software will be born in this summer 🙂

click here for my proposal