Continuous Forecasting for Sports Fans

As the game progresses, you know, as team score, or as they don't score, those probabilities will change and that's one classic example of continuous forecasting. Whenever those events happen, you go and you update your model and you get an updated probability of what is happening. It's where people won't react to that as ground conditions change for you sports fans out there. You know whether you're a cricket fan or a World Cup fan or an NFL fan or whatever. The rate at which we thought we would be able to eat through this project changes. There is no sunk cost fallacy attached to it.