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Emergent day to you. 2010-04-22 is my knowmad birthday. Think I understood the word. More to emerge.
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    Improvement of the world: highly contextual
    Project: Polytopia

    Hans Rosling, genius of data visualization at Gapminder leads us to grasp surprising big data and aim for adequate context. One of his key messages for me: what we can do to effectively help people in one place and condition would not necessarily work well elsewhere. That is why I feel complex adaptive people networks have a growing role in improving the world.
    Image credit: Gapminder World





    Video,
    Hans Rosling: No more boring data 20 minutes TED talk - 2006


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    BenRayfield     Sun, Aug 29, 2010  Permanent link
    If you go to http://wolframalpha.com  and search for "graph gdp vs internet access" then change the graph from "linear plot" to "log-linear plot", you get approximately the same graph and shape of data as the first picture in this thread. What was once thought of as a lot of manual work is now as easy as an internet search. I have not verified http://wolframalpha.com  uses unbiased or accurate data, but it looks close enough to the data above. Did they get their data from the same place?




    Things are changing faster than internet users can keep up with them. Does an average person know what to do with the many possible ways to combine data into graphs, equations, statistics, and other things these new systems can do? Learn to think for yourself or computers, rich people, politicians, and I will think for you.

    Near the end of the video (in the first post of this thread), he talks about the importance of making the data about the world (gdp, number of people who have internet access, etc) searchable and free and legal for everyone to use. This is one of the main ideas of http://en.wikipedia.org/wiki/Open-source_software  and is why we should not use http://wolframalpha.com  and let it become a monopoly (or call it a cartel if theres a few sharing power while everyone else has to pay a cartel price which is almost the same as a monopoly price) like Google, Verizon, Yahoo, Microsoft, http://internet2.edu  are becoming. Regulating such cartels/monopolies through laws has failed to work for years. The problem gets worse. The solution is to replace them with free open-source systems. To see what I've done in open-source, go to my SourceForge user page.


    If you click "source information", you get this:

    Source information
    * Country data source information
    Primary source:
    Wolfram|Alpha knowledgebase, 2010.
    Wolfram Mathematica CountryData. »
    Background sources and references:
    o Butler, R. A. "Imperiled Riches—Threatened Rainforests." Mongabay.com. »
    o Center for International Comparisions of Production, Income and Prices, University of Pennsylvania. Penn World Table. »
    o Encyclopaedia Britannica. Britannica Book of the Year. Encyclopaedia Britannica, 2008.
    o Federal Housing Finance Agency. "Metropolitan Statistical Areas and Divisions through 2008Q4." House Price Indexes. »
    o Food and Agriculture Organization of the United Nations. "Food and Agricultural Commodities Production." FAOSTAT. »
    o GeoHive. GeoHive. »
    o Helders, S. World Gazetteer. »
    o Hijmans, R., et al. Global Administrative Areas (GADM). »
    o Lahmeyer, J. Population Statistics. »
    o National Association of Realtors. Realtor.org. »
    o O'Mara, M. (Ed.). Facts about the World's Nations. H. W. Wilson Company, 1999.
    o Office of Travel and Tourism Industries. Tourism Industries. »
    o Organisation for Economic Co-Operation and Development. "OECD Health Data 2008." SourceOECD. »
    o Organisation for Economic Co-Operation and Development. "Tourism." OECD. »
    o Transparency International e.V. Transparency International. »
    o United Nations Department of Economic and Social Affairs. 2003 Demographic Yearbook. United Nations, 2006.
    o United Nations Department of Economic and Social Affairs. Statistical Yearbook 2002-2004. United Nations, 2004.
    o United Nations Statistics Division. UNdata. »
    o United Nations. "National Accounts Main Aggregates Database." United Nations Statistics Division. »
    o United States Census Bureau. "2005-2007 American Community Survey 3—Year Estimates." American FactFinder. »
    o United States Census Bureau. United States Census 2000. »
    o United States Census Bureau. International Data Base (IDB). »
    o United States Census Bureau. "Quarterly Sales by Price and Financing." New Residential Sales Index. »
    o United States Census Bureau, Administrative and Customer Services Division, Statistical Compendia Branch. "Population by Age and Sex." County and City Data Book: 2007 (14th ed.) U.S. Department of Commerce, 2008. »
    o United States Census Bureau, Administrative and Customer Services Division, Statistical Compendia Branch. "Population by Race and Hispanic Origin." County and City Data Book: 2007 (14th ed.) U.S. Department of Commerce, 2008. »
    o United States Central Intelligence Agency. The World Factbook. »
    o United States Department of Justice, Bureau of Justice Statistics. Crime and Justice Data Online. »
    o United States Department of State. Background Notes. »
    o United States Department of Transportation. "Table 1-22: World Motor Vehicle Production, Selected Countries." Research and Innovative Technology Administration. »
    o United States Geological Survey. Geodata.gov. »
    o United States National Geospatial-Intelligence Agency. NGA GEOnet Names Server (GNS). »
    o The Wikimedia Foundation, Inc. Wikipedia. »
    o World Intellectual Property Organization. "Statistics on the PCT System." Intellectual Property Statistics. »
    o World Tourism Organization. Tourism Factbook. »
    o World Travel and Tourism Council. World Travel and Tourism Council. »
    o World Health Organization. "WHO Mortality Database: Tables." Health Statistics and Health Information Systems. »

    This list is intended as a guide to sources of further information. The inclusion of an item in this list does not necessarily mean that its content was used as the basis for any specific Wolfram|Alpha result.


    The log-log graph shows it better than the first picture in this thread, which is a log-linear. These words just mean how the up/down and left/right dimensions are curved. Linear is straight and log is exponentially curved.





    What do I think this data means? Internet access and money are both exponential forces that feed eachother. Thats why it looks like a bell-curve in the log-log graph. It means we have a much bigger problem than most people are aware of... The difference between rich and poor, between having internet and not having it, and probably similar in lots of other global problems and rates of technology advancing... changes at superexponential speed instead of only exponential speed. That means there is an exponent in the exponent.http://en.wikipedia.org/wiki/Super-exponential_function

    People trained in predicting the economy and politics etc usually do not have any experience with superexponential patterns. They have experience with exponential patterns, like inflation of the economy is an exponential equation between time and total amount of money. If they do not start using superexponential equations to predict the world, the entire infrastructure will crash under its own weight. There would be riots, loss of electric power and communication systems, leading to World War 3. Use superexponential equations or die. Its that simple.
     
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