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Getting the links right: Sketch graphs, AHP, ML, and more.

Cause-and-effect links live at the heart of complex systems.  And understanding them means we can go beyond historical data to understand situations we haven’t faced before, using piecewise causal links from the past to inform new situations.  This is incredible, because it breaks us from the tyranny of using only historical data in data science, machine learning, AI, and more.    Here’s how three previously separate approaches can be used to help us get the links right.

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