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Some problems are harder to solve than others. It usually stems from a long testing period. Try X, wait. Try Y, wait. If the wait period is decades, you have a problem.

Broadly, statistics and large sample sets are used to combat that.

Human understanding, or lack thereof, for a given problem also contributes to suboptimal theories.

Ultimately, hard problems are hard.

You can't get to the systematic view of multiple variables until you know the individual variables.

I wonder if its as fundamental as needing a different "scientific method".

Blockchain, DeSci, science3.0