Forecasting methodologies, such as qualitative analyses, time series analysis & projection, and econometric models, are widely used throughout U.S. businesses and governmental agencies.
The chaotic relationship of three key factors is likely to make traditional forecasting tools and methods increasingly unreliable:
Examples include peer-to-peer networks and music swapping websites.
The Patriot Act and the Homeland Security Department are examples of the U.S. Federal Government's attempt to control based on their forecasting methods. However, the side-effects actually force all people, both good and bad, to decentralize their activities. The result is encrypted data tunnels and underground communication networks.
State governments are experiencing more difficulty controlling their tax receipts (in large part due to digital distribution of goods and services). As states try to control taxes based on your location, they will encourage the development of decentralized business systems.
This complicates the already inadequate and convoluted accounting systems in use by municipal government for over a century. For example, until 1985, many municipal governments did not have a fixed asset accounting system, nor did they have even an accurate inventory of all their assets. Therefore, the taxing authorities had no factual basis on which to tax their constituents.
Again, chaos theory suggests that meteorological forecasting will be affected in much the same way as economic forecasting. And, since the weather is so closely tied to the economy, the intensity in volatility is likely to be felt in both areas. [Note: although the Earth's average temperature may be rising slightly, the volatility for any given location is rising dramatically.]
Global warming, insect borne and zoonotic viruses, particulate matter and ozone pollution, exposure to ultraviolet (UV) radiation, nuclear fallout, reforms to flood insurance, wildfires, and other weather related phenomena suggest a more literal tunneling under.