| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| AI / Artificial Intelligence | 1% | 0¢ | 1¢ | — | $263K | Trade → |
| Sing / Singing | 1% | 0¢ | 1¢ | — | $152K | Trade → |
| ICE / National Guard | 1% | 0¢ | 1¢ | — | $109K | Trade → |
| Epstein | 1% | 0¢ | 1¢ | — | $65K | Trade → |
| Trump | 1% | 0¢ | 1¢ | — | $55K | Trade → |
| Diddy | 1% | 0¢ | 1¢ | — | $53K | Trade → |
| Ping Pong | 1% | 0¢ | 1¢ | — | $50K | Trade → |
| Nobody Wants This | 1% | 0¢ | 1¢ | — | $37K | Trade → |
| Heated Rivalry | 1% | 0¢ | 1¢ | — | $37K | Trade → |
| Paramount / Paramount+ | 1% | 0¢ | 1¢ | — | $36K | Trade → |
| Hockey | 1% | 0¢ | 1¢ | — | $31K | Trade → |
| Seth Rogen | 1% | 0¢ | 1¢ | — | $25K | Trade → |
| Warner Bros / Warner Brothers | 1% | 0¢ | 1¢ | — | $16K | Trade → |
| Ozempic | 1% | 0¢ | 1¢ | — | $12K | Trade → |
| SAG | 99% | 99¢ | 100¢ | — | $10K | Trade → |
| Hollywood | 99% | 99¢ | 100¢ | — | $9K | Trade → |
This prediction market asks which specific phrase, word, or topic Kristen Bell will utter during the Actor Awards; it matters because language-based outcomes are useful for reporters, content trackers, and traders betting on live-event speech.
Kristen Bell is a high-profile actor and presenter whose live remarks at awards shows often attract media attention and social sharing. Markets that track mentions or exact quotes at entertainment events have a history of volatile trading as rehearsals, red-carpet interviews, and on-stage improvisation change expectations; this particular market lists 16 discrete outcomes and is hosted on KALSHI with the close time listed as TBD.
Market prices reflect the crowd’s collective assessment of which outcome is most likely given available information and will update as new signals arrive (scripts, rehearsals, leaks, or live performance). Treat prices as a continuously updating consensus, not a fixed forecast.
The platform lists the close time as TBD; in practice such markets usually close either shortly before the public broadcast begins or at a platform-specified cutoff — check KALSHI's event page for the official closing timestamp.
Each outcome corresponds to a specific quoted phrase, keyword, or topic that the market creator defined; outcomes can include exact quotes, common catchphrases, or broad topics (e.g., mention of a person or issue). See the market description on KALSHI for the full outcome list and exact wording.
Resolution depends on the contract’s wording and the platform’s adjudication rules — some outcomes require exact wording, others allow close paraphrase or inclusion of a keyword; KALSHI’s resolution criteria and any appointed adjudicator or transcript source will be authoritative.
Leaked scripts or teleprompter text, rehearsal reports, red-carpet interviews revealing planned lines, public statements from Kristen Bell or show producers, and notable social-media activity by cast or writers can all materially change trader expectations.
Yes — Kristen Bell has a public persona of witty, conversational, and sometimes self-deprecating remarks in live settings; traders may incorporate her past live-performance style, recent interviews, and known affiliations when assessing which wordings are plausible.