Right. In terms of the idea of this big data, I was just visiting with Michael Wolfson. He was actually in charge of Statistics Canada when a lot of this stuff happened. Basically a number of years ago, they just felt the cost of sustaining this model.... They wanted to cut costs so they cut the model. I don't think the people who did it quite realized what they were doing. Basically we've been developing this model with teams of researchers in the government for 25 years. Baby boomers are retiring right now. This is the time we need the models to make really good decisions. What this model does, as I was explaining, is it actually takes all the data that we have, rural and urban, puts it together and gives us a fuller picture of Canada's needs and what happens when you change parts of the system. Where will the impacts be? What will the costs be to making those changes?
Going back to the urban-rural question, I did quite a bit of research on poverty for seniors and I actually did price out poverty lines across Canada based on the costs of goods and baskets. What I found time and time again is that the cost of goods in different cities across Canada differs by rent and by transportation costs, and food is pretty much the same. The big difference is going to be as soon as somebody has health care needs, and this is what distinguishes seniors from the rest of Canadians. Their poverty line, if you want to call it that, the senior poverty line for someone with a high level of care needs doubles. That's really the characteristic of differentiation.
For what you're saying, rural and urban, accessing good health care was an issue. Transportation was an issue for seniors because they don't have the public transportation systems. I think someone working on the ground could actually give more information. I work on more the data side of things.