Applications
Expect the unexpected in complex systems. When cause-effect relationships are non-linear, small interventions sometimes produce huge effects while large efforts yield nothing. This makes systematic experimentation better than confident prediction.
Understand that control is impossible but influence is available. You can't predict chaotic systems long-term, but you can understand their attractors and work with their dynamics rather than against them.
Recognize self-organization at the edge of chaos. Wolfram's Level 4 cellular automaton rules—those that allow universal computation—exist at the transition between order and turbulence. Life itself operates at this boundary.
Accept that reductionism has limits. You can't predict complex system behavior by understanding components. The interactions between parts matter more than the parts themselves. Emergence is real and irreducible.