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Building on Shannon's lead, let's consider a more malleable expression fortracking uncertainty, and states of "knowledge available" vs. "knowledgemissing," to better practice innovation, improve risk management, andsuccessfully measure progress of intractable undertakings. Shannon's formula,and its common replacements (Renyi, Tsallis) compute to increased knowledgewhenever two competing choices, however marginal, exchange probabilitymeasures. Such and other distortions are corrected by anchoring knowledge to areference challenge. Entropy then expresses progress towards meeting thatchallenge. We introduce an 'interval of interest' outside which all probabilitychanges should be ignored. The resultant formula for Missing AcquirableRelevant Knowledge (MARK) serves as a means to optimize intractable activitiesinvolving knowledge acquisition, such as research, development, riskmanagement, and opportunity exploitation.

Shannon Revisited: Considering a More Tractable Expression to Measure and Manage Intractability, Uncertainty, Risk, Ignorance, and Entropy