These two markets examine contrasting paths to executive power in 2028, separated by scope and difficulty. Market A asks whether former Democratic congresswoman Tulsi Gabbard can secure the Republican Party's presidential nomination—a critical first step requiring victory in the GOP primary. Market B asks whether Democratic congressman Ro Khanna can win the presidency outright, capturing the general election against all opponents. While both involve high-profile political figures with crossover appeal or unconventional backgrounds, they operate at different levels of the electoral hierarchy: Gabbard's path depends on a primary victory within her adopted party, while Khanna's requires a general-election victory across the entire electorate. The pricing signals are striking. Both markets trade at 1% probability—identical odds despite vastly different structural difficulty. A 1% GOP nomination probability reflects trader skepticism about Gabbard's primary campaign prospects, while 1% on Khanna's presidency suggests traders view his general-election odds as similarly long. Yet these shouldn't necessarily trade at parity: if a candidate reaches a general election, their presidency odds typically exceed their initial baseline, conditional on that achievement. The identical pricing suggests traders believe both figures face nearly insurmountable barriers at their respective stages, or that nomination success wouldn't materially improve presidency odds due to polarization or electability factors. The two outcomes are largely independent. If Gabbard wins the GOP nomination, her presidency odds would theoretically rise from this baseline. Khanna's success requires securing the Democratic nomination first—an unstated prerequisite embedded in his market. However, both markets could be influenced by shared macro factors: a major recession, geopolitical crisis, or third-party surge could reshape primary and general-election dynamics simultaneously. Beyond that, Khanna's presidency doesn't depend on Gabbard's nomination, and vice versa. Readers watching these markets should monitor several signals. For Gabbard: GOP primary field composition, endorsement patterns from party leadership, donor engagement, and whether her party-switching background becomes an asset or liability. For Khanna: Democratic primary announcement timing and field strength, his early-state polling, and whether his Silicon Valley background resonates or alienates Democratic voters. Both markets are sensitive to broader political shifts—increased polarization might suppress long-shot candidacies, while an unusually fragmented cycle could inflate them. Watch for divergence: if Gabbard's nomination odds rise sharply while her presidency odds stay flat, it signals traders view the nomination as contextually valuable but not translatable to general-election viability.