Kamala Harris: Interview, Dec 18, 2025
Kalshi What will Kamala Harris say on Jimmy Kimmel?
Markets
13 words · 4 settled yes- Kalshi: named speaker only Kalshi
backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.
| Word | Result | Probability | Market |
|---|---|---|---|
| Trump | Yes | 59%n=4 from settlement history | – |
| Book | Yes | 49%n=2 from settlement history | – |
| Economy | Yes | –n=1 too little history for a probability | – |
| Corrupt / Corruption | Yes | –n=1 too little history for a probability | – |
| California | No | 56%n=3 from settlement history | – |
| Affordable / Affordability | No | –n=1 too little history for a probability | – |
| Biden | No | 31%n=5 from settlement history | – |
| Billionaire | No | –n=1 too little history for a probability | – |
| Foreign | No | –n=1 too little history for a probability | – |
| ICE / Border Patrol | No | –n=1 too little history for a probability | – |
| Tariff | No | 23%n=2 from settlement history | – |
| National Guard | No | 23%n=2 from settlement history | – |
| 2028 | No | 21%n=3 from settlement history | – |
Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 15:46 UTC.
Transcript
No transcript source yet. The results above are how the venues settled the markets.
Agents: this page as TSV at /api/v1/brief?event=k%3AKXKAMALAMENTION-25DEC18 · columnar JSON in #parrot-data · llms.txt · MCP