This simulator models a simulated population of users positioned in a 3D "trait space" — ideology, persuadability and baseline media literacy — and lets you launch a psychographic influence campaign against them. A Gaussian targeting kernel concentrates the campaign's budget on whichever slice of the population the precision slider selects, exactly the way real micro-targeting systems narrow an audience for maximum persuasive match. The same controls that make a campaign more effective also make it easier to catch: raising precision and budget together spikes a live detection-risk readout modelling the anomaly signal platform trust-and-safety systems use to flag coordinated, narrowly-targeted manipulation, and toggling ad-transparency disclosure — a real defensive policy — visibly cuts both the campaign's reach and its persuasive power.