First, "proving" that #racism exists is not the same as dismantling it. Ending racism has to begin and end with political will. Data, while helpful in guiding policy focus, are not a shortcut to creating this will. https://fivethirtyeight.com/features/when-proof-is-not-enough/
Second, data extraction can pose a threat to the rights of marginalised and racialised groups in and of itself. Data are not merely recorded or collected, they are produced. In this context, we also need to consider the precedents we have where "more data" approaches backfired.
Centring #racialjustice work around calls for more equality data also plays into an institutional culture that requires marginalised communities to "prove" their own marginalisation with “objective science" before they are believed, thereby keeping oppressing structures in place.
Fourth, if any data is collected, racialised and marginalised groups should be in control of what gets collected and how. Until communities can construct their own data collection and analysis practices, data extraction technologies risk becoming tools for racism.
Yes, Europe has a problem with systemic racism and, yes, we need to face this head on. But rather than running the risk of adding to existing systems of oppression, we should focus on dismantling the structures and practices that we know to be racist. https://bit.ly/30aR3dK 
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