A fundamental role of farm animal welfare science is to generate evidence-based knowledge on animals’ needs and well-being to inform decision-makers, and ultimately society at large. However, we argue that the knowledge produced by welfare science is systematically affected by pragmatic considerations that shape what problems are studied and how, limiting the information available. This phenomenon, which we term ‘pragmatism bias’, manifests in tendencies to focus on intensive production systems,…
Read moreA fundamental role of farm animal welfare science is to generate evidence-based knowledge on animals’ needs and well-being to inform decision-makers, and ultimately society at large. However, we argue that the knowledge produced by welfare science is systematically affected by pragmatic considerations that shape what problems are studied and how, limiting the information available. This phenomenon, which we term ‘pragmatism bias’, manifests in tendencies to focus on intensive production systems, short-term gains, and symptoms rather than root causes. In the absence of sufficient information, decisions are made with whatever knowledge is at hand. As a result, systems regarded as economically efficient, yet which offer unsatisfactory animal welfare become entrenched, systemic welfare issues are addressed incrementally, and the discipline’s epistemic progress is constrained. We argue that funding availability and operational constraints are central in driving pragmatism bias, yet equally significant is the way researchers, under these pressures, frame and pursue their investigations. To counteract pragmatism bias, we propose a multifaceted approach that includes strengthening researchers’ responsibility to acknowledge how pragmatic constraints shape scientific work. We recommend normalising transparent, reflexive communication about these influences through training, manuscript requirements, and professional dialogue. Meanwhile, funding structures should be reformed so that neutral, bottom-up mechanisms support open-ended, animal-centred inquiry. Science-based knowledge should be broadened to include a wider range of conditions outside of currently economically viable alternatives, including those that enable animals to thrive. Lastly, we suggest that researchers engage more with emerging frameworks for formal animal representation to support more systemic and ethically grounded change.