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Tag: prediction

The Capitalization of Silence

"Silence" by Horst Schmier

Coupon Madness

The business concept of rewards coupons is not new. S&H Green Stamps were among the original applications of the concepts. The fact that coupon cutting is now going on-line is not surprising to anyone. A second major trend is in the area of data collection. Supermarkets have learned that it is valuable for them to “pay” the customer in exchange for data that makes stocking and distribution more efficient. When combined, coupon + data is a tremendously valuable marketing and logistics tool.

The next development of coupon + data model is the notion that if a person likes a product, so too will their friends. This is the coupon + data + association model. Not surprisingly, the marketing value of the combination of these linked data increases almost exponentially.

To Pay Dearly

Brands are now willing to pay dearly for information about the transaction as well as the social networks associated with a transaction. With the ability to track several layers of transaction and association, vendors can paint an extraordinarily accurate predictive model that can be used in their favor – and in competition against market challengers.

The half-life of noise

The hype is brisk and often short lived as most companies eventually run up against the proverbial viral backlash. Someone somewhere can just as easily elevate their own influence by challenging a big influencer. Privacy issues, fair trade issues, corporate responsibility issues are all fair game. Social media forces transparency in an organization too as controlled data can quickly become uncontrollable data.

The battlefield is strewn with the corpses of marketing campaigns gone horribly wrong. Even Groupon, once touted as the champion of mom and pop shops across the land is now accused of dumping economic “sugar calories” into a zero sum game where size does matter – a lot. Groupon is now used by competitors against each other thereby wrecking havoc on Mom and Pop Shops across the land.

Help, I need a Guru

Social Media Gurus continuously pound home the message that they must find their customers grazing in their own pasture and engage them in order to be truly accepted into the herd.  Now the Gurus have all the vendors looking like wolves in sheep’s clothing – nothing could be more obvious or look more ridiculous.

The inherent flaw is that companies are designing and delivering products predicted to interact with people in their own setting. Instead, they must develop a set of products and services that are designed to facilitate human interaction with each other in their own setting – and as a consequence, filter out all the noise that wastes valuable social time.

Coupon + knowledge inventory + anonymity

Learning what people know does not mean that they need to give up their identity.   Joining people who have complimentary knowledge is a superior value creation mechanism than harvesting relationships already played out. The ability to protect and empower the customer in their home setting is the greatest branding opportunity on Earth. The ability to filter out the noise is the single greatest competitive advantage that any marketing campaign can ever enjoy. The ability to bring communities of people together to solve the problems of their own choosing is far more powerful than trying to convince people that they have a problem for which only you have the solution.

This is the capitalization of silence

Image by Horst Schmier

Will Social Capitalism Replace Market Capitalism? (Parts 1&2)

This video describes a set of predictions for 2020 based on an entirely new form of capitalism whose velocity and voracity will take the world completely by surprise. Nothing is sacred and nobody is immune, not Facebook, not Google, not Wall Street, not even Governance itself….

Part 1

Part 2:

Enterprise Prediction Markets Summit

(Editor: I’ll be speaking at the following event on June 4th. If you are in the area or blogging issues in this genre of ideas, let me know and drop by. Look up the other speakers and you’ll find an extraordinary group of visionaries preparing to make this PM Cluster Summit a truly enlightening event.)

Enterprise Prediction Markets Summit:
Leading Enterprise Prediction Markets

Friday, June 4 2010 8:00am – 5:00pm

EVENT LOCATION: The Boeing Company: Integrated Aircraft Systems Lab Building 2-122, Conference Room #102L2 (Conference Center) 7701-14th Avenue South Seattle, Washington 98108 USA

EVENT REGION: US –Pacific Northwest

EVENT PURPOSE: This summit is for executives, directors, mangers, users and practitioners having immediate needs to apply collective intelligence networks and enterprise prediction market mechanisms to advance business outcomes through mastery of collective wisdom.

EVENT SPEAKERS: Dennis P. O’Donoghue (Boeing), Sharon Chiarella (, Arik Johnson (Aurora WDC), Dan Robles (The Ingenesist Project), Dr. Richard O. Zerbe, Jr. (Evans School of Public Affairs), Christel Alvarez, ConsensusPoint, George Neumann, George Daly Research Professor of Economics, (Iowa), Olav Opedal (Microsoft, Internet Security)






MUST ONE RSVP: Yes! No on-site registration

ATTIRE: Business Casual

BUSINESS CARDS: YES – Bring Business Cards

EVENT NOTES: The conference sessions are focused, practical and conversational. They are for executives, directors, mangers, users and practitioners having immediate needs to apply collective intelligence networks and market mechanisms to advance business outcomes through mastery of collective wisdom.

ORGANIZATION NOTES: The Prediction Market Clusters, founded in 2004, are the global industry commons and open community for prediction markets and collective intelligence networks worldwide. The open, agnostic network is a focused collaboration of vendors, academia, traders, users, developers, markets, regulators and stakeholders. The goal is to provide awareness, diffusion, adoption and pull-through for enterprise and consumer prediction markets. The Prediction Markets Cluster is the worldwide Next Practices network for collective intelligence networks practices, tools and theories.

PM Clusters

Prediction Market Clusters

Predictions for 2010 and Beyond – Nothing is Sacred

transparentIt looks like everyone is buffing up their predictions for another year of astonishing growth by social media. The last several years have brought so many surprises that the next several are promising to yield a bumper crop of “I told you so” fodder from the “pithier than thou” crowd.

My prediction for 2010 is that nothing is sacred, including the onslaught 2010 predictions. Therefore, I’ll will go way out on a limb and make my 2011 predictions in 2009.

In General:

The interest coming due on our national debt will consume increasingly more of the money that institutions need to provide basic services. As these institutions weaken, they will increasingly be replaced by social media enterprise. These structurally weakened institutions will drive social media innovation more than any other factor.


  1. Social vetting will catch everyone by surprise. Google buying Yelp is the game changer that will shake markets to the core. A market can only be as efficient as its vetting mechanism. To control vetting is to control a market – ask any despot. Where the vetting institutions of the old paradigm break down, they will be replaces by social media vetting. Nothing is sacred – the SEC, AMA, Federal Reserve – everything is vulnerable. Google knows this and will usher in an era of social media applications that will completely disrupt the gatekeepers.
  2. Everyone says that social media will monetize. It will, but not like anyone expects. 2011 is the year of the Deep Web; the deep web is the vast universe of unprocessed data that exists like dark matter in the Google-verse. Social media will monetize around data because data is the only thing that corporation, governments, and other people are willing to pay for. Google created economic initiatives for legions of entrepreneurs to create information content. The new Deep Web Search engines will create economic incentives for legions of entrepreneurs to create databases.
  3. The convergence of data will create the “new monetized innovation economy” defined by the way people interact with data. Highly localized data that will reflect the knowledge inventory of a community and will be represented by a virtual currency.
  4. It will become increasingly apparent that many of the functions of a corporation can be duplicated outside a corporation by new vetted social media applications. Networks of people will become “corporations” and trade knowledge assets through the trade of virtual currency contracts.
  5. Corporations will become technology centric rather than industry centric with open source architecture liberated to armies of diverse entrepreneurs. For example, breakthoughs in one industry will shoot across all industries like iphone apps – especially effective in environmental and “community organization” innovations. Nothing is sacred.

So there it is and be assured that 2012 will not disappoint even the hardiest eschatologist!

Sorry for not repeating the “real-time is king” mantra or singing the “people will finally pay for content” tune, or reciting the “every department is the marketing department” manifesto. Something much bigger is about to happen. The evolution away from the current financial system will drive social media more than any other factor.

The Global Financial Crisis; The End Game

The year is 2024, no burning cities, no mass hysteria, no bread lines; the economy is on an exponential growth curve.  It took a while, but the financial crisis of ended in an anticlimactic sort of way.  Sure, lots of hedge fund bankers became unemployed, some went to jail, and many companies once deemed titans of industry have disappeared, but nobody seemed to notice much anymore.

Government debt has been eliminated and Wall Street has become the steward of what has become an Innovation Economy rising from the ashes of debt economics.  The transition, in fact, was surprisingly smooth.  Social Network applications such as Facebook, Linkedin, G+, and many more, developed a clever way to make knowledge tangible outside the construct of Wall Street and the traditional corporations and people began trading knowledge like currency.

When inflation hit, the dollar started to fall in value, people began trading a different currency called the rallod (dollar spelled backwards).  The rallod was backed by future productivity resulting from innovation rather than future productivity supporting debt.  When the dollar finally crashed, it pegged to the rallod and the economy began to grow again with an astonishing, yet peaceful, transfer of wealth and power to open sourced self-regulating communities; i.e., society in general.  The vicious cycle of debt economics was reversed just in time.  It’s still hard to believe what happened.

Today the engines of economic growth are tens of thousands of hot new start-ups that exist in the form of “Value Games” related to specific technology areas rather than the old corporation model.  They automatically cluster around a technology and spin off other start-ups at an incredible rate in a strange nesting arrangement called the “tangential innovation” market.  Most innovation is open sourced because the “Patent” (and protectionism in general) is no longer the center of the innovation finance universe, rather, the “secret sauce” of social, creative, and intellectual capital is the most valuable asset today.

About 15 years ago, something resembling the human genome project mapped all knowledge in the form of social, creative, and intellectual capital that exists in society to a very high granularity.  An API standard was created to represent knowledge assets like packets of code that are processed by a community algorithm. The CV/resume is an old bar joke now. Thanks to a visionary government, 1st amendment protections were built into this inventory with anonymity laws and privatized TOU; creators own what they create.

An open source percentile search engine was created to enable entrepreneurs to build unique collections of knowledge assets and predict the probability that various combinations of these assets could successfully execute a business plan.  High diversification induced hyper-innovation around technologies and the resulting innovations are spun out to be reabsorbed by different and diverse communities of practice in continuous iterations forming a virtuous vortex of new systems, methods, and solutions.  Sketched out, these arrangements looked like electrical “integrated” circuits.  Wealth creation is intense.

Since the knowledge inventory has mapped all knowledge and the Percentile Search Engine calculated probabilities and scenarios, the Innovation bank formed to make most worthy and optimal matches between knowledge surplus and knowledge deficit in a community.  Since the probability of innovation success has become predictable, innovation risk is now diversified away.  Innovation insurance products abound. With near-zero innovation risk the cost of venture capital has approached 5-7 % instead of 500-2000% of less than a decade ago.  Banks now issue innovation bonds on the public market to finance innovation in society.  For an investment of such high return and such little risk, participation is near universal.  This created another virtuous circle; the more innovation that occurs, the more money is created.  The more money that is created, the more innovation occurs.

Instead of having jobs, many people in a geographic area are pinged by the Percentile Search Engine which calculates the likelihood that their interaction together will increase the probability of successful execution of a business plan when combined with other knowledge assets.  Instead of earning wages, people collect micro-royalties specified by contracts on capital asset sub-sections. These micro-royalties add up to substantial residual income enjoying a multiplier effect as their work continues downstream over their lifetime. The government funds social security through it’s own innovation ventures. Service workers such as police, teachers, fire fighters, nurses, local merchants, etc., are key beneficiaries because of their impact on the community is directly associated with productivity.

Many of the senior knowledge workers have determined that they can earn more money by taking an equity position in their students, and the students of their student.  Unlike a decade ago, pyramid schemes in innovation economics are sustainable and generate astonishing profits.  Mentors have entered the landscape in vast numbers and apprenticeships have become abundant.  The income potential for the “creating creators” boggles the imagination.   Again, a virtuous circle has formed between the mentor and the student. In aggregate, wisdom is being retained, refined, and transferred efficiently throughout social networks.

University “degrees” have disappeared in favor of unique combinations of knowledge assets that are continually SEO’d for best Percentile Search Engine Placement.  People do not compete directly, rather, they compete with the Percentile Search Engine in the local market place by cooperating among each other.  As owners of their knowledge assets, the entrepreneurial spirit is ubiquitous.  No individual has either a monopoly or an identical knowledge set as anyone else.  Everyone has perfect information about the knowledge assets in a market.  People are pinged for different reasons at different times for different rates depending on supply and demand.  Continuous education is a social event in itself, often mistaken for recreation!

Even the poorest areas of the planet are getting into the action because, by definition, the parts of an economy with the highest potential for technological change correspond to opportunities that return the highest dividends in an innovation economy.  Arbitrage opportunities between master and oppressor have disappeared worldwide.

Like a neural network, the economic system of tangible knowledge is self-correcting, fault tolerant, and self-regulating.  Governments across the globe tried to stop the social network driven innovation economy – but they eventually gave up.  It was like trying to stop water; it flowed between the cracks and simply eroded the barriers.  The most incredible outcome is that innovation now reflects long term social priorities instead of short term Wall Street priorities.

Oil production has been replaced by superconducting wind turbines, global temperatures have stabilized, all cars are electric or “water leakers” (as the hydro’s are affectionately known), many diseases have been cured, and the list goes on.  It is hard to believe this happened in only 12 years.  Then again, the Internet had only been widely used 15 years prior to 2009.  Did I mention, we’re finally sending a multinational expedition to Mars…

The Capitalization of Knowledge – The Virtuous Circle

We have set up a new game for entrepreneurs to play called Innovation Economics. We have defined a currency and an inventory where knowledge is visible outside the construct of the corporation – and resident in social networks. We have also described a way for entrepreneurs to visualize the knowledge asset and the supply and the demand for knowledge assets. We have given them a tool for matching assets for profit. We have described how social networks will keep the game fair. We have outlined the structure of new business plans; the brain storming session, product development cycle, the neural network, and the multiplier effect. Future businesses will be built upon combination of these four structures and whatever else entrepreneurs can dream up.

We have described all of the pieces needed to form a new economy. Now we need to connect with the financial markets so that knowledge is readily convertible to other currencies.

For review;

With the financial bank, the entrepreneur assumes that they have the knowledge to execute a business plan and then they look for the money. The risk is that the entrepreneur does not in fact have enough knowledge.

With the Innovation Bank, we assume that we have the money, and we go to the bank to search for the knowledge. The risk is not having enough money to purchase sufficient expertise.

With both banks acting together – the risks cancel each other out and the innovation economy tends toward a ‘risk free’ cycle; the more knowledge you can assemble, the more money you can borrow. The more money you can assemble, the more knowledge you can assemble.

Now we have a virtuous circle. The more knowledge you have, the more money you can borrow; and the more money you have, the more knowledge you can borrow.

There is no shortage of money circling the globe – only a shortage of risk free places to put the money. The innovation economy is an environment of very high return for a very low risk and will attract a great deal of money to fund innovation enterprise.

Earlier we demonstrated that money represents human productivity. It follows that the places that have the greatest potential for increasing human productivity can create the greatest amount of wealth. Therefore, poor areas and marginalized economies with under utilized knowledge inventories or the injection of specific knowledge inventories, become the highest ROI centers in a risk-free system; a condition the explicitly favors the wealth equalization rather than wealth disparity.

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