It's sometimes easy to forget that even the most well-designed science advice institution, and even the most persuasive advisor, are still operating as part of a broad ecosystem in which both policymakers and the general public are exposed to vast quantities of ostensibly factual information of varying quality, much of it mediated through algorithms. In this episode, Caitlin Chin-Rothmann from the Center for Strategic and International Studies in Washington DC talks us through this broader context and how science advisors can adapt to it.