QA's unique forecasting methodology exploits information contained in dynamically interdependent systems (eg. markets as ecosystems) so that complexity becomes an asset or a source of information, rather than a liability. This is in contrast to most other scientific approaches to modeling complex systems where dynamic interconnections are seen as a difficulty to overcome. For example, an interdependent sequence (more grass implies more rabbits, which implies more foxes, which, in turn can imply fewer rabbits and more grass) contains information valuable for forecasting. Economic systems and ecological systems are generically similar as webs of interdependencies where the topological structure of the web matters (eg. "bank payment networks or food-webs").