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In this article, we examine how southern white Christian secondary mathematics teacher candidates reflected on racial inequities in academic opportunities and school discipline after engaging with data sets highlighting such disparities. Using a lens of racial noticing, informed by Leonardo’s (2009) conceptualization of whiteness as a racial discourse that normalizes white dominance, we analyze candidates’ written reflections to identify how they interpreted and responded to issues of race in mathematics education. Two dominant themes emerged: the normalization of implicit biases and the tensions between aspiring to objectivity and acknowledging subjectivity in educational practices. Both patterns aligned with whiteness by obscuring systemic inequities. Notably, while many candidates avoided overt deficit views of students of color, their reflections often framed inequities as personal or inevitable rather than structural. We conjecture that their Christian commitments reinforced color-evasive framings while also discouraging overtly deficit interpretations. Statistical investigations, however, created openings for naming race and bias, suggesting both the potential and the limits of such approaches. Findings underscore the need for teacher education to explicitly confront whiteness, with data investigations that highlight racial disparities as being a promising avenue to develop racial literacy and promote systemic change. 

Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real traffic stop data from a local city. We were interested in how preservice teachers explained the role of racism in the policing of traffic stops. Drawing on a framing of systemic racism as an intertwining of individual, cultural, and institutional factors, we found that most of the preservice teachers made connections between the results of their statistical investigations and broader institutional factors that affect policing. Statistical investigations using large datasets that highlight disparities based on race provide affordances for preservice teachers to start thinking about systemic racism. Further, the investigations can normalize challenging conversations around race and racism in mathematics and statistics content courses. 

An adaptation of The 5 Practices framework for statistical investigations that accounts for differences between mathematics and statistics. 

In this theoretical paper we hypothesize a developmental framework for a critical statistical literacy based on our anecdotal observations from working with teachers and empirical evidence from a pilot study. We create the framework by taking Watson and Callingham’s hierarchical framework for statistical literacy and reframing it as a developmental framework. We then combine it with Weiland’s Critical Statistical Literacy framework, which serves as an end goal of the developmental framework. We provide excerpts from a pilot study as a proof of concept and make suggestions for future research.