Paolo Silvestri interviews Deirdre Nansen McCloskey on the occasion of her latest book, Bettering Humanomics: A New, and Old, Approach to Economic Science. The interview covers her personal and intellectual life, the main turning points of her journey and her contributions. More specifically, the conversation focuses on McCloskey’s writings on the methodology and rhetoric of economics, her interdisciplinary ventures into the humanities, the Bourgeois Era trilogy with its history of the ‘Great Enrichment’, her liberal political commitments, and the value and (...) meaning of liberty, equality, and solidarity. Finally, the conversation returns to McCloskey’s ‘humanomics’ approach: an economics with the humans left in. (shrink)

In this paper, I develop an epistemological argument for freedom from poverty, building on Gerald Gaus’ work on political and moral disagreement in New Diversity Theory (NDT). NDT argues that diversity and disagreement are fundamental to political and moral learning. In this paper, I address Gaus’ central arguments in NDT, and focus on what I argue to be the key epistemological distinction of his account—namely, the argument that the relevant diversity, which is conducive to political and moral learning and should (...) therefore be protected by an institutional order, should not be defended or defined by reference to its performance with regards to discovery of true beliefs, but by reference to the independent epistemic value of protection of disagreeing, redundant and distant investigators. I develop a restatement of this argument from the perspective of institutional epistemology, and show that (along with constitutional liberties, polycentric self-governance and markets) freedom from poverty must be considered an institutional “device” conducive to such a conception of diversity. While Gaus rejects redistributive policies at the level of an institutional order, it is precisely his account of the epistemic powers of diversity and disagreement which provides the strongest defense of minimal redistribution. (shrink)