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Modeling the near future cannot be done perfectly deterministically. It must be done using different approaches for different windows and levels of accuracy.

Weather provides a good example for understanding. Forecasters can predict the temperatures and precipitation over the next seven days reasonable well, but not beyond that. However, for the next year, forecasters can predict average temperatures and precipitation type and quantity reasonably well. Meteorologists have also identified patterns that repeat over several years (such as El Nino and La Nina), but they cannot predict the exact timing or strength. It is also possible to predict the general climate by location and for the entire Earth for the next hundred or so years, assuming there are no catastrophic changes such as a large meteor hitting the Earth.

There is often much short term “noise”. In weather, there might be a local tornado which deviates the local wind without changing the overall mean wind. One should use probabilistic methods when modeling the future to overcome noise effects.

Current Trends

• Globalization
• Resistance to globalization
• Advancement in automation (robotics, AI)
• Consolidation of financial institutions
• Monetary shifts caused by trade imbalanced
• The 1800s colonia order continues to recede

 

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