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AFTER CERTAINTY

book

Learning from the Future: Competitive Foresight Scenarios

Fahey, Liam, and Robert M. Randall, eds. Learning from the Future: Competitive Foresight Scenarios. New York: Wiley, 1998.

Why this matters here

Fahey and Randall’s Learning from the Future develops competitive foresight scenarios as a way organizations rehearse alternative futures and notice disconfirming signals before they harden into crisis. How Serious Systems Learn borrows that orientation toward early detection for corrective loops: metrics, retrospectives, and escalation paths can remain visible while the cycle that actually alters action erodes. The book’s inference is that a loop is not a document—correction fails when information no longer travels quickly, clearly, and with enough authority to change ongoing work.