Evaluates competing actions under uncertainty by building a decision tree of choice and chance nodes, placing explicit probabilities on outcomes the decider does not control, rolling the tree back to an expected value per option, recommending the best-EV branch, and adding a what-flips-it note namin
Evaluates competing actions under uncertainty by building a decision tree of choice and chance nodes, placing explicit probabilities on outcomes the decider does not control, rolling the tree back to an expected value per option, recommending the best-EV branch, and adding a what-flips-it note naming the probability or value that would reverse the choice. Use when a decision turns on uncertain out