(Certified) Humane Violence? Animal Production, the Ambivalence of Humanizing the Inhumane, and What International Humanitarian Law Has to Do with It

The chapter draws a comparison with the self-certifying of production methods as ‘humane’ or animal-friendly in the labelling of animal products—that is, according to companies’ own self-imposed codes of conduct. It likens the idea of humanizing animal slaughter, factory farms, and other forms of production to the notion of humanizing warfare. Like international humanitarian law (IHL), animal welfare law is marked by the tension inherent in its attempt to humanize innately inhumane practices. Given these parallels, the analysis of animal welfare law might benefit from existing insights into the potential and limits of IHL. Both areas of law endorse a principle of ‘humanity’ while arguably facilitating and legitimizing the use of violence, and might thereby ultimately perpetuate the suffering of living beings. The implicit justification of violence percolating from the IHL-like animal ‘protection’ laws could only be outweighed by complementing this body of law with a ius contra bellum for animals

Predicting climate change using response theory: global averages and spatial patterns

The provision of accurate methods for predicting the climate response to anthropogenic and natural forcings is a key contemporary scientific challenge. Using a simplified and efficient open-source general circulation model of the atmosphere featuring O(105105) degrees of freedom, we show how it is possible to approach such a problem using nonequilibrium statistical mechanics. Response theory allows one to practically compute the time-dependent measure supported on the pullback attractor of the climate system, whose dynamics is non-autonomous as a result of time-dependent forcings. We propose a simple yet efficient method for predicting—at any lead time and in an ensemble sense—the change in climate properties resulting from increase in the concentration of CO22 using test perturbation model runs. We assess strengths and limitations of the response theory in predicting the changes in the globally averaged values of surface temperature and of the yearly total precipitation, as well as in their spatial patterns. The quality of the predictions obtained for the surface temperature fields is rather good, while in the case of precipitation a good skill is observed only for the global average. We also show how it is possible to define accurately concepts like the inertia of the climate system or to predict when climate change is detectable given a scenario of forcing. Our analysis can be extended for dealing with more complex portfolios of forcings and can be adapted to treat, in principle, any climate observable. Our conclusion is that climate change is indeed a problem that can be effectively seen through a statistical mechanical lens, and that there is great potential for optimizing the current coordinated modelling exercises run for the preparation of the subsequent reports of the Intergovernmental Panel for Climate Change

Mitigating hypothetical bias in willingness to pay studies: post-estimation uncertainty and anchoring on irrelevant information

One possible source of hypothetical bias in willingness to pay (WTP) estimates is response uncertainty, referring to subject’s uncertainty about the value of the good under assessment. It has been argued that uncertainty can be measured using the post-valuation ‘certainty question’ that asks: ‘How certain are you about your stated WTP?’ and marks the degree of certainty on a quantitative or a qualitative scale. Research has shown that the self- reported certainty evaluations can help mitigate hypothetical bias and obtain increasingly accurate WTP estimates. These study reports present a simple test of reliability of post-valuation certainty assessment and then looks at the empirical evidence for clues regarding the general usefulness of certainty adjustment in mitigating hypothetical bias in WTP studies. We find that the post-estimation uncertainty scores are malleable, i.e., significantly correlated with entirely irrelevant information. We conclude that more robust evidence could justify the routine inclusion of certainty evaluation in WTP studies although in the meantime the interpretation of certainty- adjusted WTP values should be approached cautiously