Joseph Newhard (2017) argues that a libertarian anarchist society would be at a serious military disadvantage if it extended the nonaggression principle to include potential foreign invaders. He goes so far as to recommend cultivating the ability to launch a nuclear attack on foreign cities. In contrast, I argue that the free society would derive its strength from a total commitment to property rights and the protection of innocent life. Both theory and history suggest that a free society would be (...) capable of defending itself, and indeed that it would probably use other means to avoid military conflict altogether. (shrink)

ONE OF THE MOST prominent theorists of anarcho-capitalism is Hans- Hermann Hoppe. In what is perhaps his most famous result, the argumentation ethic for libertarianism, he purports to establish an a priori defense of the justice of a social order based exclusively on pri- vate property. Hoppe claims that all participants in a debate must presuppose the libertarian principle that every person owns himself, since the principle underlies the very concept of argumentation. Some libertarians (e.g., Rothbard 1988) have celebrated Hoppe’s (...) argument as the final nail in the coffin for collectivism of any type; following Hoppe, they believe that to deny the libertarian ethic is not only wrong, but also internally contradictory. On the other hand, a number of other prominent libertarians characterized Hoppe’s initial statement of his case as “one muddle after another” (Steele 1988, p. 47) or “a tissue of bald assertions” (Yeager 1988, p. 45). (shrink)

We review state‐of‐the‐art computational methods for constructing, from image data, generative statistical models of cellular and nuclear shapes and the arrangement of subcellular structures and proteins within them. These automated approaches allow consistent analysis of images of cells for the purposes of learning the range of possible phenotypes, discriminating between them, and informing further investigation. Such models can also provide realistic geometry and initial protein locations to simulations in order to better understand cellular and subcellular processes. To determine the structures (...) of cellular components and how proteins and other molecules are distributed among them, the generative modeling approach described here can be coupled with high throughput imaging technology to infer and represent subcellular organization from data with few a priori assumptions. We also discuss potential improvements to these methods and future directions for research. (shrink)

Even the briefest and most superficial perusal of leading mainstream economics journals will attest to the degree that mathematical formalism has captured the economics profession. Whereas up to the early 20th century virtually all of the output of the dismal scientists was in the literary format, by the early 21st century this is not at all any longer the case. Mathematical formalism is supposed to serve economics, and yet now true economic insight has been crowded out by the math. If (...) mainstream neoclassical economics is to come back to its proper path, a far less central role for mathematical economics, statistics and econometrics will have to be fashioned. (shrink)