Yes. The word “contextual” is important here, as well, because that's kind of how we want to look at anonymization. We want to look at where we are using this information.
When Statistics Canada produces statistics or data that they make publicly available, the risks are very high because it's on the Internet. Anyone can access it. They also take data and put it in a research data centre. It's disconnected from the Internet. You have controls according to who has access to the data, how they can use the data and what they can come in or out of the environment with. The risks are much lower, so it's contextual in that sense.
The idea of a reasonableness standard is bringing that contextual piece to it. When we look at international standards, for example, they're primarily very scientifically driven by risks, and risks are never zero. Therefore, by looking at it in this contextual way, we can manage the threats and use other tools besides just aggregating and creating means, as was mentioned earlier. We can do things that are a little more sophisticated, and we can have strong environments that control that information.