Thinking about populations and races in time

Race: Deflate or pop?

Neven Sesardic has recently defended his arguments in favour of racial naturalism-the view that race is a valid biological category-in response to my criticism of his work. While Sesardic claims that a strong version of racial naturalism can survive critique, he has in fact weakened his position considerably. He concedes that conventional racial taxonomy is arbitrary and he no longer identifies 'races' as human subspecies. Sesardic now relies almost entirely on Theodosius Dobzhansky's notion of race-as-population. This weak approach to 'race'-according to which all genetic difference between populations is 'racial' and 'the races' are simply the populations we choose to call races-survived its early critiques. As it is being mobilised to support racial naturalism once more, we need to continue the debate about whether we should weaken the concept of race to mean 'population', or abandon it as a failed biological category. I argue that Sesardic's case for racial naturalism is only supported by his continued mischaracterisation of anti-realism about biological race and his appeal to Dobzhansky's authority. Rather than deflating the meaning of 'race', it should be eliminated from our biological ontology.

Gould on Morton, Redux: What can the debate reveal about the limits of data?

Lewis et al. (2011) attempted to restore the reputation of Samuel George Morton, a 19th century physician who reported on the skull sizes of different folk-races. Whereas Gould (1978) claimed that Morton's conclusions were invalid because they reflected unconscious bias, Lewis et al. alleged that Morton's findings were, in fact, supported, and Gould's analysis biased. We take strong exception to Lewis et al.'s thesis that Morton was "right." We maintain that Gould was right to reject Morton's analysis as inappropriate and misleading, but wrong to believe that a more appropriate analysis was available. Lewis et al. fail to recognize that there is, given the dataset available, no appropriate way to answer any of the plausibly interesting questions about the "populations" in question (which in many cases are not populations in any biologically meaningful sense). We challenge the premise shared by both Gould and Lewis et al. that Morton's confused data can be used to draw any meaningful conclusions. This, we argue, reveals the importance of properly focusing on the questions asked, rather than more narrowly on the data gathered.

Philosophy of race meets population genetics

In this paper, I respond to four common semantic and metaphysical objections that philosophers of race have launched at scholars who interpret recent human genetic clustering results in population genetics as evidence for biological racial realism. I call these objections 'the discreteness objection', 'the visibility objection', 'the very important objection', and 'the objectively real objection.' After motivating each objection, I show that each one stems from implausible philosophical assumptions about the relevant meaning of 'race' or the nature of biological racial realism. In order to be constructive, I end by offering some advice for how we can productively critique attempts to defend biological racial realism based on recent human genetic clustering results. I also offer a clarification of the relevant human-population genetic research.

The mind, the lab, and the field: Three kinds of populations in scientific practice

Scientists use models to understand the natural world, and it is important not to conflate model and nature. As an illustration, we distinguish three different kinds of populations in studies of ecology and evolution: theoretical, laboratory, and natural populations, exemplified by the work of R. A. Fisher, Thomas Park, and David Lack, respectively. Biologists are rightly concerned with all three types of populations. We examine the interplay between these different kinds of populations, and their pertinent models, in three examples: the notion of "effective" population size, the work of Thomas Park on Tribolium populations, and model-based clustering algorithms such as Structure. Finally, we discuss ways to move safely between three distinct population types while avoiding confusing models and reality.