Data or Politics? Why the Answer Still Remains Political

This essay suggests that a significant gap exists between calls for race-based data collection and the claim it will lead to better policy making. Instead the paper argues that there is a gap between data collection and the political decision making needed to implement sound policy. The paper uses Toronto as a case study to demonstrate how recent COVID race-based data collection did not lead to immediate good policy decisions and implementation that would benefited those currently being the most impacted by COVID infections.