An interactive multiverse
Have fifty years of model development and ever finer-grained datasets reduced uncertainty in estimates of global irrigation water withdrawals? This is an open-ended question with implications for Earth system science, policymaking and research priorities, and it can be answered in many different ways. Answer it yourself: given the 1,624 global irrigation water withdrawal estimates produced over the last five decades, design your analysis fork by fork, observe where your investigation leads and then watch the pathways you did not take bloom around yours.
Each choice you made above was defensible, and so were all the alternatives: five target years; three ways of binning studies through time; an optional interval around the target year to account for estimates referring to a temporal range rather than a specific year; two overlap rules; and six possible measures of spread. Together, these choices generate 360 analytical pathways for exactly the same question. Whatever your pathway concluded, a colleague making different but equally defensible decisions could have concluded otherwise.
This is Borges' Garden of Forking Paths, brought into scientific discourse by Gelman and Loken and walked here through a multiverse analysis in the sense of Steegen and colleagues. When several analytical pipelines are defensible, run them all and let the distribution of answers—not a single answer—be the finding.
The strip above shows the shares reported by the DAWN team in their recent Nature Water paper (Puy et al. 2026): only 17% of pathways find uncertainty in global irrigation water withdrawals declining (10% once projections to 2100 are excluded), while 40% find it increasing and 34% find no stable trend. In other words, the most robust outcome of fifty years of research has not been less uncertainty, but more of it. This raises a more fundamental possibility: there may be no single “true” value toward which estimates can converge. Progress may instead require purposefully expanding uncertainty until it reaches the boundaries of what can be known about global irrigation water use given current data, models and assumptions.
Borges, J. L. (1941). El jardín de senderos que se bifurcan (The Garden of Forking Paths). Sur.
Puy, A., Aguiló-Rivera, C., Linga, S. N., Clarke, N., Richards, O., Flinders, S. & Melsen, L. A. (2026). Fifty years of research have deepened uncertainties in global irrigation water withdrawals. Nature Water. doi: 10.1038/s44221-026-00710-0
Gelman, A. & Loken, E. (2013). The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time. Pre-published. https://osf.io/n3axs/
Steegen, S., Tuerlinckx, F., Gelman, A. & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science 11, 702–712.