Ro Khanna and Ruben Gallego represent two different electoral timelines in the 2028 Democratic landscape. Khanna's market asks whether he can win both the Democratic primary and the general election—a compound achievement requiring victory over multiple opponents in a contested nomination race, then defeat of the Republican nominee. Gallego's market asks the narrower question: can he become the Democratic nominee? These outcomes are structurally nested—a candidate must win the Democratic primary to have any chance at the general election. Yet both markets price identical conviction at 1% YES, which invites scrutiny into what traders actually believe about these paths. The 1% price point on both markets suggests the trading community assigns very low probability to either outcome. This might seem initially counterintuitive: Gallego's nomination path should logically be "easier" than Khanna's general-election victory (nomination + general + Republican defeat). The convergence of prices implies either that traders view Khanna as materially stronger than Gallego in a Democratic primary contest, reducing the gap between their probability thresholds, or that the Democratic field remains so open and uncertain that neither candidate commands enough conviction to separate the prices. It may also reflect that traders see such low baseline likelihood for non-frontrunner candidates that the incremental distinction between "win nomination" and "win general" becomes negligible at this scale. Correlation and divergence between these markets unfold along several scenarios. Both candidates could lose the primary to a stronger field, rendering both markets as FALSE. One could win the primary and lose the general—say, Gallego secures the Democratic nomination but loses to the Republican challenger, making his market TRUE while Khanna's remains FALSE (he never reached the general). Or either could win both the primary and general, which would satisfy both market conditions if one becomes the nominee and then president. A third scenario: the Democratic primary winner emerges from neither camp entirely, and both markets settle FALSE despite competitive races for each candidate. Factors worth monitoring include the strength and composition of the Democratic primary field—whether Khanna and Gallego face a clear frontrunner or a genuinely fractured race. Early polling, donor support, and institutional endorsements from party leadership will signal relative viability. State-level primary results as voting begins will validate or challenge early perceptions of either candidate's appeal. General-election dynamics matter too: even a nominee's polling performance against the Republican opponent will inform whether traders adjust conviction. Finally, exogenous political events—economic shifts, legislative accomplishments, scandals, or primary realignments—can rapidly reset expectations about both candidates' paths. At 1% each, these markets reflect deep skepticism, but that positioning can shift quickly if primary momentum builds or narrative clarity emerges.