@Azure The isuse may become clearer if we replace "problems" with "constraints" or "relationships".
An unconstrained system is easy to maximise: pedal to the metal, and find the global maximum or limit.
A system with a small number of constraints is a bit more complex, but there's still usually a clear direction and optimum.
With many interrelated constraints, even determining where or what the optimum is becomes complex, and addressing one constraint may render others stronger. Even Liebig's Law of the Minimum approaches of increasing some limiting factor may be only minimally effective.
Dennis Meadows defines a socially/politically hard problem as one in which everyone cannot be made better off. There's a price to pay for at least some group. That becomes all but unworkable in democratic governance.
You can't grow your way out of a growth problem.
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