The quality of a model often is highly dependent on the value of the data that goes into it. What we do is we go back and collect historical data, relying on CDIAC and other organizations in Canada, going back to 1980 or 1990, to look at the trends. We build our computer models to try to actually simulate what's happened in the past. We try to recreate the past changes that have occurred. Our energy systems are always in dynamic change, so we're trying to understand and use that.
Once we can recreate the history with our models, in a reasonable recreation, then we can start to project into the future. But I would argue that in our models, and in the way we look at modelling and scenario modelling into the future, we're not predicting the future. I think you can't really predict the future. There's too much change. What we're saying is that there is an opportunity for Canadians to create the future, so it's actually more about how we create, how we have a vision. We have to take a vision for the kind of Canada we want, the kind of world we want to see, in the next 10, 15, or 20 years. Then let's look at using the modelling to identify and align our policies and investments, and align our innovation and R and D programs, to create the future that will make the world better for our children and our children's children.
That's really the value. It's about creating. We're not predicting the future.