This podcast dives into a fascinating “crowdsourced science” experiment where 57 analysts across the world tackled the same research questions with the same data but still came to considerably different conclusions, often with opposing effects for the same sets of variables. It shows how much research outcomes can depend on the analyst’s choices, yet also how combining many perspectives can reveal meaningful patterns beneath the noise. It’s an energetic look at how science can be more open, transparent, and collaborative, proving that even messy data stories can yield real insight when many minds work together. Citation: Delios, A., Hu, T., Yu, S. et al. (2025). The insights from the crowd: Drawing inferences from many approaches to key empirical questions in international business. Journal of  International Business Studies. https://doi.org/10.1057/s41267-025-00808-9