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 18, 8:30 PM EST
Kalshi
Bernie Sanders will hold a Get Out The Vote rally in Brooklyn that will be live-streamed or televised and open to the press. Resolution will be determined by analyzing video of the event, supplemented by official transcripts if needed, to identify specific words or phrases spoken by Sanders in an official capacity during the rally.
This event consists of multiple word-detection markets based on Bernie Sanders' speech at a GOTV Rally in Brooklyn. Resolution requires the rally to be held as scheduled, open to the press, and broadcast live via television or stream. Sanders must speak in an official capacity; inaudible private conversations or unofficial statements do not qualify. Resolution is determined primarily from video footage, with official transcripts used as a secondary source if video consensus cannot be reached. Each market tracks whether Sanders uses specific words or phrases, including exact forms and their plural or possessive variations, though grammatical and tense inflections are excluded. Certain phrases require minimum frequency thresholds (billionaire, Trump, and Bernie each require 3+ mentions). Previously aired content, archival footage, or recordings from separate events do not count. If the rally is cancelled or fails to meet qualification criteria, all word-detection markets resolve to No and the "Event does not qualify" market resolves to Yes. If postponed with announcement by the following calendar day to a date within 14 days, markets remain open pending the rescheduled event.
Prediction market odds reflect real-money bets from traders who profit only if their forecast proves correct, creating strong incentives for accuracy. Analyst forecasts, by contrast, often rely on historical patterns, polling, or expert judgment without direct financial stakes. This market aggregates distributed knowledge from many traders, which research suggests can outperform individual expert predictions on political speech content. Comparing the implied probability here to public analyst commentary or media speculation can reveal where the crowd sees higher or lower likelihood than conventional wisdom suggests.
On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for each outcome, and the spread between them reflects the current market consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from 0 to 100 cents per share, with each cent representing a 1 percent implied probability. As traders buy and sell shares based on new information or changing views, the price adjusts in real time. The tighter the bid-ask spread, the more confident the market is in that outcome's likelihood.
This market resolves around Jun 19, 2026, once the Brooklyn Rally concludes and statements can be verified. The outcome is determined by comparing Senator Sanders' actual remarks against the specific claims or topics embedded in each market option. Resolution relies on credible public reporting—video footage, official transcripts, and reputable news coverage—to confirm what was said. Once the event is verifiable from these sources, the winning outcome is locked in and traders are settled accordingly.
Market prices may shift based on recent political developments, polling data, or news that affects what Sanders might emphasize at the rally. Announcements about the rally's focus, confirmed guest speakers, or breaking news on policy issues could prompt traders to adjust their positions. Social media speculation and media coverage leading up to the event often influence sentiment. Additionally, any public statements from Sanders or his campaign about rally topics may cause repricing. As the event date approaches, increased trading volume typically reflects growing certainty or last-minute uncertainty among participants.