I’ve been looking at the math of risk and reward in high‑stakes deals—think probability, game theory, and optimal bidding. Maybe we could swap insights on how to make the best offers?

Let’s model it as a Bayesian update: estimate each potential win’s probability, weight that by the payoff, and pick the offer with the highest expected value. If we keep the noise at bay, the math will do the rest.