Tim Walz: Interview, Mar 26, 2026
Kalshi What will Tim Walz say during his MS NOW interview?
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 | 63%n=8 from settlement history | – |
| Election | Yes | 58%n=2 from settlement history | – |
| TSA | Yes | –new new word, no probability yet | – |
| Iran | Yes | 34%n=3 from settlement history | – |
| Homan | No | –n=1 too little history for a probability | – |
| Fraud | No | 49%n=6 from settlement history | – |
| Healthcare | No | 44%n=2 from settlement history | – |
| Oil / Gas / Gasoline | No | –new new word, no probability yet | – |
| Shutdown / Shut Down | No | –new new word, no probability yet | – |
| Somali / Somalia / Somalian | No | 39%n=7 from settlement history | – |
| Corrupt / Corruption | No | –n=1 too little history for a probability | – |
| Kristi / Noem | No | –n=1 too little history for a probability | – |
| Afford / Affordable / Affordability | No | 28%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%3AKXWALZMENTION-26MAR26 · columnar JSON in #parrot-data · llms.txt · MCP