Will “Afford / Affordable / Affordability” be said at the next Political debates?
As of Oct 25, 2026, “Afford / Affordable / Affordability” was said at the Political debates on 2 of 2 occasions with a settled Kalshi mention market since Jun 16, 2026 (100%), most recently on Jun 17, 2026. Parrot’s p for the next listing is 72% (n=2, from settlement history), not a forecast.
- Last 10
- 2/2Last 10 settled, oldest to newest: yes yes
- Streak
- said the last 2 times
- Counts
- any candidate
Where it was said
quotes of at most 25 words; select an appearance
Political debates
Afford / Affordable / Affordability
- Probability
- 72% · n=2
- Settled
- 2/2 (100%)
Next listing counts: any candidate
We don’t have transcripts for Political debates yet, so there are no quotes here: each cell shows how that market settled.
Every settled listing
newest first · 2 shown| Date | Listed as | Venue | Result |
|---|---|---|---|
| Jun 17, 2026 | Afford / Affordable / Affordability |  Kalshi | Yes |
| Jun 16, 2026 | Afford / Affordable / Affordability | Kalshi | Yes |
Questions
- How often is “Afford / Affordable / Affordability” said at the Political debates?
- As of Oct 25, 2026, “Afford / Affordable / Affordability” was said at the Political debates on 2 of 2 occasions with a settled Kalshi mention market since Jun 16, 2026 (100%), most recently on Jun 17, 2026.
- What is the probability “Afford / Affordable / Affordability” is said at the Political debates next time?
- 72%, from settlement history (n=2). It is a base rate from history, not a forecast and not advice.
- Who has to say it for the market to count?
- Under the next market's rule: any candidate.
Cite parrot.markets, “Political debates: ‘Afford / Affordable / Affordability’ mention history”, as of Oct 25, 2026, https://parrot.markets/politics/political-debates/words/afford-or-affordability-or-affordable (CC BY 4.0)
Agents: this page as TSV at /api/v1/word?entity=political-debates&word=afford%20%2F%20affordability%20%2F%20affordable · quotes: /api/v1/quotes?entity=political-debates&word=… · columnar JSON in #parrot-data · llms.txt · MCP