The financial system of the world and the curious case of the Hakkar
February 18, 2010
Jeremy Grant and Michael Mackenzie write in today’s Financial Times about the software driven trading of shares. Software codes, algorithms, have become a common way of trading shares and derivatives. A string of code decides when, how and where to buy and sell financial instruments such as options and futures. No human intervention is needed.
Stock exchanges are at the moment building data centers where traders can place their computers containing their trading software. The exchange has a matching system that takes in and connects the “buy” and “sell” orders. The reason for the computers being at the same server farm is to save time. Buyers and sellers can now save milliseconds from the time it took to complete a trade over the network.
Technology has advanced so rapidly that financial markets are largely driven by computers instead of human beings.
The way many algorithms work is that some event, such as a news article, triggers the decision to trade. Another string of code seeks where in the world the best price can be found. The software technology behind this is so advanced that literally thousands of orders can be sent to the matching engines in a fraction of a second.
The technology has brought with it high frequency traders. They seek to make a profit from the opportunities that are presented by very small price changes lasting less than a second.
On September 13, 2005 World of Warcraft opened up a new area for advanced players. It was inhabited by a massive winged serpent called Hakkar. One of the tricks Hakkar had was the capability to spread a contagious disease called “corrupted blood”. The special thing was that when a player was infected, other players nearby also caught the disease. This was intended as a minor hindrance to the skilled players who had teamed together to fight Hakkar. Anyway the avatars in the World of Warcraft live in the virtual world of software. When they die during a combat, they return to their homes to come back to life and resume playing. No big deal.
This time however, things were different. The players responded to the new string of code in an unanticipated way. Rather than continuing to fight in the closed area, where Hakkar lived, some players teleported themselves to other areas of the game. As a result the infection spread widely through the whole virtual world. What the programmers intended to be a new challenge for advanced, powerful players in a localized area turned into a global epidemic that rapidly killed hundreds of thousands of weaker players. The programmers had no idea what was going on. Nothing seemed to work as they tried to regain control. Ultimately, the programmers resorted to a strategy that may not be an option for the global financial system. They pulled the plug on the whole world. They rebooted the servers and the epidemic died out.
The virtual financial system of the world affects the physical world outside the digital areas reserved for powerful, advanced players. It is a pity there is no plug to pull when hundreds of thousands of weaker companies start to die as a result of “unforeseen programming issues“.
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Thank you Jeremy Grant and Michael Mackenzie
More on the subject:
The Google lesson for management
February 13, 2010

Eugene Garfield founded the Institute for Scientific Information in 1960. His pioneering work was in citation indexing. This allows a researcher to identify which articles have been cited most frequently and who has cited them. Garfield’s studies demonstrated that the number of citable items, i.e. the number of papers, together with the frequency of their citation, meaning how many scientists link to the paper, is a good measure of scientific success. Nobel laureates write more papers than other scientists and these papers are more linked to than other papers. The system effectively measures quantity and quality at the same time.
Links on the Web are also citations, or votes, as the founders of Google realized. The whole Web is a densely interconnected network of references. It is no different to the age-old practice of academic publishing and citation indexing.
The observation of Larry Page and Sergey Brin that links are citations seems commonplace today, but it was a breakthrough at the time Google started on September 7, 1998.
What Google did was essentially the same as had been done in academic publishing by Eugene Garfield. At this time, relevance and importance were measured through counting the number of other sites linking to a Web site, as well as the number of sites linking to those sites. The PageRank algorithm includes other variables as well, but the measurement of links is still the core functionality of the system.
What Google has proved to managers is that people’s individual actions, if those actions are performed in a transparent way, and if those actions can be linked, are capable of managing unmanageable tasks.
Collaboration and collective work are best expressed through transparency and emergent, responsive linking. The mainstream business approach to value creation is still a predictive process designed and controlled by the expert/manager. This is based on the presuppositions that we know (1) all the linkages that are needed beforehand, and (2) what the right sequential order in linking and acting is. Neither of these beliefs is correct any more. The variables of creative work have increased beyond systemic models of process design.
It is time to learn from the Web.
By relying on the uncoordinated actions of millions of people instead of experts/managers to classify content on the net, Google democratized scientific citation indexing. To be able to manage the increasingly complex organizations of today, the same kind of democratization needs to take place in the corporate world. Companies are transforming themselves from industrial mass production to creating value in wide area networks of mass communication. The transparency of tasks is the corporate equivalent of publishing academic articles. Responsive linking, rather than predictive linking, acts as a measure of relevance and is the guarantee of quality. This has served the academic community well. It made Sergey Brin and Larry Page billionaires. Now is the time to do the same in the corporate world. Complex, creative, knowledge-based work requires new approaches. The Google lesson for management is, that the more work is based on responsive processes of relating and the more organizing is an ongoing process in time, the more value we create!
Thank you Jeff Howe and Ralph Stacey
The importance of a tweet
February 12, 2010

Eli Whitney invented the cotton gin to replace the laborious hand cleaning of cotton in 1794. James Watt invented the steam engine in 1769 to solve the problem of pumping water out of British coal mines. Most inventions however, are not responses to voiced needs. In many cases the work of the inventors produce a solution that needs to seek a problem.This is still the case today. Inventions in search of a use are the norm when it comes to most technological breakthroughs. When Thomas Edison built his first phonograph in 1877, he suggested ten uses to which his invention would be suited. At the top of the list were preserving the last words of dying people and announcing the time of the day.
Music was not on his first list of uses. As historians write, It took twenty years for Edison to reluctantly admit that the main use of his phonograph was to record and play music.
It is almost impossible to know beforehand where the primary use for an invention is going to be in the long run. The inventor has in many cases, been totally wrong in his early assessments of where the best combination of a solution to a problem might be. Although James Watt had originally put his steam engine to work in the coalmines, the true revolution of steam power began only after steam had started to be used to propel trains and ships, which he never thought of.
James Watt did not see the future but he saw the past. Researchers claim that Watt actually got the idea for his version of the steam engine while repairing an engine designed by Thomas Newcomen, who had invented it almost sixty years earlier. Over one hundred of these had already been manufactured. Newcomen’s engine was based in turn on the patent awarded to Thomas Savary in 1689. The chain of discovery of the steam engine goes back further to Denis Papin in France, Christian Huygens in Holland and others. Similar histories can be seen in all modern inventions that are well documented.
There are very few isolated geniuses. But there are many bright people who have continued and improved the work of others. There is a need for a new vocabulary for the creative era: all capable people have capable predecessors, who should get the credit they deserve. The key concept in the knowledge-based future is acknowledgment, giving credit, beyond what we have been used to. In a sense, creative people are more remixers of other peoples’ ideas, than inventors. Technology and development are not isolated acts by great independent thinkers, but a complex storyline, where the storytellers, the developers and remixers, are more important than the heroic inventors, if there ever were any. We never know how the story develops, but it cannot develop unless it continues. The new challenge for the creative economy is to understand the importance of attribution and giving credit. The first thing is to acknowledge the vital role of the curator/messenger and the huge importance of the tweet and the retweet.
Thank you @euan @oscarberg @venessamiemis @Lessig and Jared Diamond
We share feelings much more than we share information
February 10, 2010

There is one universally agreed-upon feature of a good life: enriching relationships. Researchers claim that we take stock of the people in our lives and the “flourishing” we get through being with them. The strategy people normally follow, mostly unconsciously though, is to try to spend more time with the people we resonate with, and less time with the people we don’t resonate with that well. Beyond this obvious solution, an even better possibility would be to create, and re-create, our relationships to make them more mutually nourishing. Emotional contagion is a fact of life. It means that our moods and even physical health are created in interaction with other people. We tilt either to the positive or tilt to the negative as a result of our relations, and the further relations, the people that we relate with have. It is a chain of contagion that goes far beyond the horizon.
We could, in theory, make an inventory that evaluates the “richness” of our relationships. My dear friend Marcial Losada has made breakthrough findings on interaction. The thought provoking model he has created, which is based on decades of research, has three variables and three parameters. The variables are inquiry-advocacy, positivity-negativity, and other-self or external-internal orientation. The three parameters are connectivity, which is the critical control parameter, negativity bias and resistance to change.
According to Marcial, people are most successful when they are well connected, and are able to balance external vs. internal orientation as well as inquiry and advocacy. The relationship should keep a positivity/negativity ratio within the “Losada Zone”, meaning greater than or equal to about 3:1 and not more than about 11:1.
John Gottman on the other hand, has found that in a happy marriage, a couple experience five times more positivity than negativity in interaction. If we take the work of Losada and Gottman seriously, as we should, it would mean that there is a golden mean for any ongoing relationship in our lives, both private and corporate. If the positivity/negativity ratio is below 3:1 it would mean that there is a need for urgent mending. In situations like this, the way we intuitively behave is to end the relationship. But perhaps we should not. Do we know how WE affect the lives of the people close to us? How do WE impact on others? Do we help others to flourish? If not, should they leave us?
The critical success factor of Enterprise 2.0, is to understand that we share feelings much more than we share information.
The unfortunate reality in enterprises is that there is a negativity bias in most in-house communication. Communication is often about solving problems and giving negative feed-back. Organizations are also optimized for repetition. There is an in built systemic resistance to changing communication patterns. It is very safe to assume to start with, that the positivity/negativity ratio is in the red. Thus, the most important management process is enriching the interaction.
Thank you @pekkahimanen and @ Esa Saarinen for meaningful discussions

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