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%

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What will Elizabeth Warren say during All In with Chris Hayes?
kalshi

What will Elizabeth Warren say during All In with Chris Hayes?

Volume:
$40,021

Trump (3+ times)

 - Kalshi

Trump (3+ times) - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 15, 2026

Closed: Sep 15, 1:15 AM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Trump (3+ times)

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,329
N/A
N/A
$2,648
Settled
Yes
kalshi

AI / Artificial Intelligence

100%
Yes 100¢No 0¢
100¢
N/A
$3,139
N/A
N/A
$2,640
Settled
Yes
kalshi

Regulate / Regulation

100%
Yes 100¢No 0¢
100¢
N/A
$2,255
N/A
N/A
$2,168
Settled
Yes
kalshi

Afford / Affordable / Affordability

100%
Yes 100¢No 0¢
100¢
N/A
$2,220
N/A
N/A
$1,974
Settled
Yes
kalshi

Billionaire

100%
Yes 100¢No 0¢
100¢
N/A
$1,967
N/A
N/A
$1,838
Settled
Yes
kalshi

Corrupt / Corruption

0%
Yes 0¢No 100¢
100¢
N/A
$8,995
N/A
N/A
$8,485
Settled
No
kalshi

Data Center

0%
Yes 0¢No 100¢
100¢
N/A
$3,012
N/A
N/A
$2,667
Settled
No
kalshi

Oil / Gas / Gasoline

0%
Yes 0¢No 100¢
100¢
N/A
$2,655
N/A
N/A
$2,517
Settled
No
kalshi

Bubble

0%
Yes 0¢No 100¢
100¢
N/A
$2,581
N/A
N/A
$2,532
Settled
No
kalshi

Electricity / Utility Bill

0%
Yes 0¢No 100¢
100¢
N/A
$2,321
N/A
N/A
$2,163
Settled
No
kalshi

OpenAI / Anthropic

0%
Yes 0¢No 100¢
100¢
N/A
$1,936
N/A
N/A
$1,463
Settled
No
kalshi

Healthcare

0%
Yes 0¢No 100¢
100¢
N/A
$1,802
N/A
N/A
$1,599
Settled
No
kalshi

Inflation

0%
Yes 0¢No 100¢
100¢
N/A
$1,712
N/A
N/A
$1,651
Settled
No
kalshi

Elon / Musk

0%
Yes 0¢No 100¢
100¢
N/A
$1,529
N/A
N/A
$1,309
Settled
No
kalshi

Event does not qualify

0%
Yes 0¢No 100¢
100¢
N/A
$568
N/A
N/A
$533
Settled
No
Total markets: 15

Description

The event involves monitoring a televised interview to determine whether specific phrases are mentioned by a guest during a set time frame. Outcomes depend solely on the verbal content delivered live, with strict criteria excluding off-mic or archival material.

Kalshi

Multiple markets resolve based on whether Elizabeth Warren utters specified phrases during the live broadcast of "All In with Chris Hayes" on September 14, 2026. Each market defines a unique phrase or set of phrases (including plural/possessive forms and alternatives separated by slashes) that, if spoken by Warren in an official capacity, trigger a "Yes" resolution. Resolution relies primarily on live video; if inconclusive, official transcripts supplement the analysis. Markets exclude grammatical variations, unaired content, private on-camera remarks, and any material not part of the original broadcast. If the program is canceled, the "Event does not qualify" market resolves to "Yes," and all others to "No." Postponements within 14 days keep markets open. Consensus among Kalshi employees ensures fair adjudication using available media.

Frequently asked questions

On Kalshi, the dashboard for the Warren interview market tracks the implied probability of different statements being made by Elizabeth Warren during her appearance on All In with Chris Hayes. You can view the current odds for each outcome, as well as the total volume traded – currently $40,021 – and the 24-hour volume, which is $40,021. The dashboard also provides a price history chart, allowing you to see how the market has moved over time. This provides a real-time view of what traders believe is most likely to occur.

Currently, it's difficult to draw direct comparisons between this market and traditional analyst forecasts, as those haven’t widely emerged for specific statements within the interview. However, prediction markets often incorporate a wider range of information and perspectives than typical polls or expert opinions. This market reflects the collective wisdom of traders who are incentivized to accurately assess the likelihood of various outcomes. As the interview approaches, comparing the final probabilities reflected in this market to any published pre-interview analyses will be a valuable exercise in understanding differing perspectives.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing different statements Elizabeth Warren might make, and the price of each contract reflects the implied probability of that statement being uttered. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price adjusts dynamically based on supply and demand, meaning that as more people buy contracts for a particular outcome, the price increases, and the implied probability rises. Conversely, increased selling pressure lowers the price and the implied probability. This creates a fluid and responsive market reflecting current expectations.

This market resolves around Sep 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which statements Elizabeth Warren actually makes during her All In with Chris Hayes interview. The resolution will be based on a transcript or reliable recording of the interview, ensuring accuracy and objectivity. The outcome will be determined by whether or not the specified statements were demonstrably made during the broadcast, and will be verified against credible public sources.

Several factors could significantly impact this market before the interview airs. Any pre-interview statements or hints from Elizabeth Warren or her team regarding her likely positions on key issues would likely cause shifts in trading activity. Major news events occurring before the interview that relate to topics she is expected to discuss could also influence the market. Finally, any changes in the political landscape or public discourse surrounding relevant topics could also move this market, as traders adjust their expectations based on the evolving context.