#optionality
11 nodes in the Atlas
- 001By the Time Anyone Looked, the Option Had Closed.The Recognition Thesis
For time-sensitive opportunities and exposures, noticing can be the first constraint.
- 002When Uncertainty Pays YouConvexity
Survivable exposure, payoff curvature and a worthwhile price require separate judgments.
- 007Who Drew the Menu?Agenda Control
Choosing from a menu is different from controlling which alternatives reach it. The construction record can help a reviewer question the boundary and seek authority to reopen the search.
- 010The Quadrant Is a Price, Not a PlaceThe Map Redraws Itself
Cheaper watching and handling can change which work becomes routine. The event's frequency, stakes and need for judgment may remain unchanged.
- 100The Shadow Option: The Move Hidden in What You Already Built
In Bowman and Hurry's framework, a shadow option is a possible strategic move embedded in existing resources and awaiting recognition.
- 101The Recognition Engine: Continuous Cheap Attention on Discontinuous Payoffs
A recognition engine keeps a recurring watch on named sources and brings documented changes to an owner while there is still time to respond.
- 110The Real Option: A Right, Never an Obligation
A real option preserves the choice to make a future investment without requiring the firm to make it.
- 111The Option Chain: One Move Opens the Next
Buying a customer book can reveal a supplier opportunity. Here, a paid reservation secures a delivery right; exercise starts a separate operating commitment.
- 112Convexity: When Volatility Starts Paying You
Convexity is a property of payoff curvature over a stated range. A call option is one example; a loss cap alone does not establish it.
- 124The Illusion of Choice: A Menu Hides the Decision Better Than a Verdict
Here, illusion of choice names the risk of treating a click as proof of control over how a menu was arranged. It is an editorial diagnostic, not a validated measure of felt authorship.
- 127Affordable Loss: Size the Bet by What You Can Lose
Affordable loss limits a commitment to what the decision maker can survive losing under uncertainty.