TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 1, 10:15 PM EST
Kalshi
This event tracks whether Rachel Maddow will mention any of a specific set of topics or keywords during her next television show broadcast. The topics span a diverse range of subjects including politics, international affairs, legal matters, entertainment, and current events.
Prediction market odds on Kalshi reflect real-money bets from traders with financial incentives to forecast accurately, which often differs from traditional analyst predictions. While analysts may rely on historical patterns or editorial judgment, prediction markets aggregate dispersed information through price discovery. For Rachel Maddow's statements, market odds can shift rapidly based on breaking news, network schedules, or trending topics that analysts might not immediately incorporate. Direct comparison is challenging since analyst forecasts on specific on-air mentions are rarely published, but markets typically respond faster to new information than formal analyst updates.
The market resolves on Jun 9, 2026. Resolution is determined by whether Rachel Maddow makes the specific statement or mention outlined in the market outcome during her show. The resolution process involves verification of her on-air broadcast to confirm whether the predicted statement occurred. Traders should monitor the show's air date and content carefully, as the exact wording and context of her remarks will be evaluated against the market's outcome criteria. Once the show airs and the statement is either confirmed or not, the market settles accordingly.
Several factors could shift odds before resolution. Breaking news or major political developments may prompt Maddow to address specific topics on air, increasing the probability she mentions them. Network scheduling changes or show cancellations could affect whether she broadcasts at all. Her recent commentary and social media posts often signal which stories she plans to cover. Market participants also react to competitor coverage and trending narratives in news cycles. Additionally, any statements from her network, MSNBC, or official show announcements about planned segments could move trader expectations. Real-time monitoring of news and her broadcast schedule is essential for tracking probability shifts.