Sure. We've even seen it in other jurisdictions. Basically, the best example is probably the one of small populations. When you want to bring data together and produce.... Basically, what is anonymization? It's producing statistics. We've heard means, aggregates, averages and stuff. That's essentially what we want to do when we talk about anonymization.
If we make the threshold such that it's a zero risk, and if I have 100 people.... If I take the average age of everyone in this room, you will say, “Well, it's not anonymized enough”, but who is going to be able to identify me from the average age in this room? That's the risk. You're going so far and you're saying, “Well, 100 people are not enough. We have to go to 1,000.” Suddenly, you cannot generate the statistics that we currently generate for things like.... In our submission, we included opioids and mental health. These are examples where it would be very hard to create the granular data to see trends over time in different age groups and in different provinces.