Thank you very much.
With the time I have, I'll be very short.
Data is about science. Data is about quantity and quality. If we support science, we need data to measure.
It's the same thing to deal with the COVID-19 infection and fatality rates. We need race-based data. We need race-based data in everything. Even the Viens commission in Quebec last year also recommended race-based data collection in dealing with indigenous people.
The Toronto Police Services Board, I believe, has developed a comprehensive, solid model of how to engage in race-based data collection, analysis and communication, and apply and translate that into the measurement of performance, quality and accountability. One way is to just look at the model of the Toronto Police Services Board. I believe a lot of things have been done. We don't need to reinvent the wheel.
We have to go back to the notion that without the data, we are not making sound, evidence-based public policy. Race-based data is important in working with indigenous people. As so many commissions have recommended, we need race-based data to deal with racialized people, along with any other demographic factors that we would deem relevant to better understand the impact of public policy and also to make sure that our public resources, our budgets, are well spent.