Typically, philosophers analysing well-being’s nature maintain three claims. First, that well-being has essential properties. Second, that the concept of well-being circumscribes those properties. Third, that well-being theories should capture them exhaustively and exclusively. This predominant position is called well-being monism. In opposition, contextualists argue that no overarching concept of well-being referring to a universally applicable well-being standard exists. Such a standard would describe what is good, bad, and neutral, for us without qualification. Instead, well-being research is putatively about several central (...) phenomena. If several phenomena are central, a proliferation of concurrently acceptable well-being theories and operationalisations is expected. However, contextualists are challenged to explain how those analysing well-being are not systematically talking past each other. In this paper, I address that challenge. The upshot is that contextualist well-being theories can be justifiably context-sensitive and applied to tailor-made policy-making efforts. I illustrate the benefits by connecting contextualism to the capability approach. (shrink)

Precise measurements of well-being would be of profound societal importance. Yet, the sceptical worry that we cannot use social science instruments and tests to measure well-being is widely discussed by philosophers and scientists. A recent and interesting philosophical argument has pointed to the psychometric procedures of construct validation to address this sceptical worry. The argument has proposed that these procedures could warrant confidence in our ability to measure well-being. The present paper evaluates whether this type of argument succeeds. The answer (...) is that it depends on which methodological background assumptions are motivating the sceptical worry to begin with. We show this by doing two things. First, we clarify (a) the different types of well-being theories involved in the science of well-being, and (b) the general methodological dimensions of well-being theorising. Second, we apply these distinctions and argue that construct validation is an unsuccessful response to measurement scepticism if this scepticism is motivated by a form of methodological non-naturalism. In the light of this, the overall point of the paper is that philosophers and scientists, when discussing measurement of well-being, should explicate their deeper methodological commitments. We further suggest that making such explicit commitments might present philosophers with a dilemma. (shrink)

Measures of happiness are increasingly being used throughout the social sciences. While these measures have attracted numerous types of criticisms, a crucial aspect of these measures has been left largely unexplored—their calibration. Using Eran Tal’s recently developed notion of calibration we argue first that the prospect of continued calibration of happiness measures is crucial for the science of happiness, and second, that continued calibration of happiness measures faces a particular problem—The Two Unknowns Problem. The Two Unknowns Problem relies on the (...) claim that individuals are necessarily a part of the measurement apparatus in first person measures of happiness, and the claim that we have no reason to believe that the evaluation standards people employ are invariant across individuals and time. We argue that calibrating happiness measures therefore involves solving an equation with two unknowns—an individual’s degree of happiness, and their evaluation standards—which is, generally, not possible. Third, we consider two possible escape routes from this problem and we suggest that the most promising route requires yet unexplored empirical and theoretical work on linking happiness to behavioral or neural evidence. (shrink)

In recent years, several authors have called to ground descriptive and normative decision theory on neuro-psychological measures of utility. In this paper, I combine insights from the best available neuro-psychological findings, leading philosophical conceptions of welfare and contemporary decision theory to rebut these prominent calls. I argue for two claims of general interest to philosophers, choice modellers and policy makers. First, severe conceptual, epistemic and evidential problems plague ongoing attempts to develop accurate and reliable neuro-psychological measures of utility. And second, (...) even if these problems are solved, neuro-psychological measures of utility lack the potential to inform welfare analyses and policy evaluations. (shrink)

This paper provides a philosophical assessment of leading theory-based, evidence-based and coherentist approaches to the definition and the measurement of well-being. It then builds on this assessment to articulate a reformed division of labor for the science of well-being and argues that this reformed division of labor can improve on the proffered approaches by combining the most plausible tenets of theory-based approaches with the most plausible tenets of coherentist approaches. This result does not per se exclude the possibility that theory-based (...) and coherentist approaches may be independently improved or amended in the years to come. Still, together with the challenges that affect these approaches, it strengthens the case for combining the most plausible tenets of those approaches. (shrink)

There are roughly two philosophical literatures on “happiness,” each corresponding to a different sense of the term. One uses ‘happiness’ as a value term, roughly synonymous with well-being or flourishing. The other body of work uses the word as a purely descriptive psychological term, akin to ‘depression’ or ‘tranquility’. An important project in the philosophy of happiness is simply getting clear on what various writers are talking about: what are the important meanings of the term and how do they connect? (...) While the “well-being” sense of happiness receives significant attention in the contemporary literature on well-being, the psychological notion is undergoing a revival as a major focus of philosophical inquiry, following on recent developments in the science of happiness. This entry focuses on the psychological sense of happiness (for the well-being notion, see the entry on well-being). The main accounts of happiness in this sense are hedonism, the life satisfaction theory, and the emotional state theory. Leaving verbal questions behind, we find that happiness in the psychological sense has always been an important concern of philosophers. Yet the significance of happiness for a good life has been hotly disputed in recent decades. Further questions of contemporary interest concern the relation between the philosophy and science of happiness, as well as the role of happiness in social and political decision-making. (shrink)

Suppose you want to do as much good as possible. What should you do? According to members of the effective altruism movement—which has produced much of the thinking on this issue and counts several moral philosophers as its key protagonists—we should prioritise among the world’s problems by assessing their scale, solvability, and neglectedness. Once we’ve done this, the three top priorities, not necessarily in this order, are (1) aiding the world’s poorest people by providing life-saving medical treatments or alleviating poverty (...) itself, (2) preventing global catastrophic risks, such as those posed by nuclear war or rogue artificial intelligence, and (3) ending factory farming. These claims are both plausible and striking. If correct, they should prompt a stark revision of how we approach our altruistic activities. However, the project of determining how to do the most good—as opposed to say, whether we should do the most good—has only recently, within the last ten years, become the subject of serious academic attention. Many key claims have not yet been carefully scrutinised. This is a cause for concern: are effective altruists doing good badly? In this thesis, I critique and develop some of the latest claims about how individuals can do the most good. I do this in three areas: the value of saving lives (preventing premature deaths), how best to improve lives (making people happier during their lives), and cause prioritisation methodology (frameworks for determining which problems are the highest priorities). In each case, I raise novel theoretical considerations that, when incorporated, change the analysis. Roughly speaking, my main conclusions are (1) saving lives is not as straightforwardly good we tend to suppose, may not be good at all, and is not clearly a priority; (2) happiness can be measured through self-reports and, based on the self-reported evidence, treating mental health stands out as an overlooked problem that may be an even more cost-effective way to improve lives than alleviating poverty; (3) the cause prioritisation methodology proposed by effective altruists needs to be moderately reconceptualised and, when it is, it turns out it is not as illuminating a tool as we might have thought and hoped. (shrink)

There are long-standing doubts about whether data from subjective scales—for instance, self-reports of happiness—are cardinally comparable. It is unclear how to assess whether these doubts are justified without first addressing two unresolved theoretical questions: how do people interpret subjective scales? Which assumptions are required for cardinal comparability? This paper offers answers to both. It proposes an explanation for scale interpretation derived from philosophy of language and game theory. In short: conversation is a cooperative endeavour governed by various maxims (Grice 1989); (...) because subjective scales are vague and individuals want to make themselves understood, scale interpretation is a search for a focal point (Schelling 1960). A specific focal point it hypothesised; if this hypothesis is correct, subjective data will be cardinally comparable. Four individually necessary and jointly sufficient conditions for cardinal comparability are specified. The paper then argues this hypothesis can be empirically be tested, makes an initial attempt to do so using subjective well-being data, and concludes it is supported. Numerous areas for further research are identified including, at the end of the paper, how certain tests could be used to ‘correct’ subjective data if they are not cardinal. (shrink)