These four prediction markets aggregate forecasts for potential Iranian leadership change across four distinct timeframes, spanning from late April through year-end. By examining price-discovery across multiple deadlines, traders and observers can discern whether markets expect imminent political transition or a longer-term shift in Iran's governance structure. The April 30 deadline captures near-term expectations; if those odds remain depressed while later dates show elevated probabilities, this divergence signals market consensus around near-term political continuity paired with longer-term uncertainty. A sudden spike in near-term odds, by contrast, may reflect emerging geopolitical developments or domestic instability. These markets are grouped because they decompose a single underlying question—will Iran's leadership change?—across different time horizons. This temporal structure is particularly valuable because it shows how probability evolves and reconverges as new information arrives. The gap between April and December prices is especially instructive: a wide spread suggests markets price in near-term stability with growing uncertainty later; a narrow spread indicates persistent uncertainty throughout the year. Price movements in any single market often precede or follow moves in others, revealing which temporal cohort perceived the earliest signal of political risk. Each market reflects aggregate expectations shaped by geopolitical analysis, regional stability assessments, economic signals, and expert consensus. As real-world events unfold, observe which deadlines reprice first and by how much—these leading and lagging patterns expose the market's hypothesis about timing and probability. Whether change comes quickly, gradually, or not at all, these markets track real-time forecasting across the full outcome space.