New York Times (NYT)

EarningsTranscriptsUpdated
Export
Copy
API
Open as TSVfor agentsOpen as JSONcolumnarOpen as Markdowntable
GET /api/v1/entity/new-york-times

As of Oct 24, 2026, Kalshi has settled 10 word markets on New York Times’ earnings calls since 2026, on 10 different words. Next call: Nov 4, 2026 (11 words listed).

Next: Earnings call ·

11 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

New York Times: the words listed for Wed, Nov 4, how often each was said on past occasions, and the probability for this one
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25year agoQ4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
Athletic9 times: Athletic, Q3’24 Nov '24, counts as said7 times: Athletic, Q4’24 Feb '25, counts as said1 time: Athletic, Q1’25 May '25, counts as said3 times: Athletic, Q2’25 Aug '25, counts as said5 times: Athletic, Q3’25 Nov '25, counts as said5 times: Athletic, Q4’25 Feb '26, counts as said4 times: Athletic, Q1’26 May '26, counts as said2 times: Athletic, Q2’26 Aug '26, counts as saidfalling8/8100%8/8100%19/8223%89%n=1+tx from settlement history blended with transcripts67¢ Kalshi
Cooking2 times: Cooking, Q3’24 Nov '24, counts as said3 times: Cooking, Q4’24 Feb '25, counts as said0 times: Cooking, Q1’25 May '252 times: Cooking, Q2’25 Aug '25, counts as said2 times: Cooking, Q3’25 Nov '25, counts as said2 times: Cooking, Q4’25 Feb '26, counts as said1 time: Cooking, Q1’26 May '26, counts as said2 times: Cooking, Q2’26 Aug '26, counts as saidsteady7/888%6/875%41/8250%78%n=1+tx from settlement history blended with transcripts66¢ Kalshi
Podcast2 times: Podcast, Q3’24 Nov '24, counts as said2 times: Podcast, Q4’24 Feb '25, counts as said3 times: Podcast, Q1’25 May '25, counts as said1 time: Podcast, Q2’25 Aug '25, counts as said2 times: Podcast, Q3’25 Nov '25, counts as said1 time: Podcast, Q4’25 Feb '26, counts as said3 times: Podcast, Q1’26 May '26, counts as said0 times: Podcast, Q2’26 Aug '26falling7/888%5/862%32/8239%69%n=1+tx from settlement history blended with transcripts36¢ Kalshi
Family Plan0 times: Family Plan, Q3’24 Nov '240 times: Family Plan, Q4’24 Feb '250 times: Family Plan, Q1’25 May '253 times: Family Plan, Q2’25 Aug '25, counts as said4 times: Family Plan, Q3’25 Nov '25, counts as said6 times: Family Plan, Q4’25 Feb '26, counts as said0 times: Family Plan, Q1’26 May '260 times: Family Plan, Q2’26 Aug '26rising3/838%3/838%3/824%67%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Retention / Retain0 times: Retention / Retain, Q3’24 Nov '240 times: Retention / Retain, Q4’24 Feb '250 times: Retention / Retain, Q1’25 May '251 time: Retention / Retain, Q2’25 Aug '25, counts as said1 time: Retention / Retain, Q3’25 Nov '25, counts as said1 time: Retention / Retain, Q4’25 Feb '26, counts as said0 times: Retention / Retain, Q1’26 May '261 time: Retention / Retain, Q2’26 Aug '26, counts as saidrising4/850%0/80%56/8268%59%n=1+tx from settlement history blended with transcripts46¢ Kalshi
M&A / Merger0 times: M&A / Merger, Q3’24 Nov '240 times: M&A / Merger, Q4’24 Feb '250 times: M&A / Merger, Q1’25 May '250 times: M&A / Merger, Q2’25 Aug '251 time: M&A / Merger, Q3’25 Nov '25, counts as said1 time: M&A / Merger, Q4’25 Feb '26, counts as said0 times: M&A / Merger, Q1’26 May '260 times: M&A / Merger, Q2’26 Aug '26steady2/825%0/80%6/827%41%n=1+tx from settlement history blended with transcripts24¢ Kalshi
Amazon0 times: Amazon, Q3’24 Nov '240 times: Amazon, Q4’24 Feb '250 times: Amazon, Q1’25 May '255 times: Amazon, Q2’25 Aug '25, counts as said0 times: Amazon, Q3’25 Nov '250 times: Amazon, Q4’25 Feb '261 time: Amazon, Q1’26 May '26, counts as said1 time: Amazon, Q2’26 Aug '26, counts as saidrising3/838%2/825%9/8211%40%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Crossplay0 times: Crossplay, Q3’24 Nov '240 times: Crossplay, Q4’24 Feb '250 times: Crossplay, Q1’25 May '250 times: Crossplay, Q2’25 Aug '250 times: Crossplay, Q3’25 Nov '250 times: Crossplay, Q4’25 Feb '261 time: Crossplay, Q1’26 May '26, counts as said1 time: Crossplay, Q2’26 Aug '26, counts as saidrising2/825%2/825%2/822%37%n=1+tx from settlement history blended with transcripts46¢ Kalshi
Wordle0 times: Wordle, Q3’24 Nov '240 times: Wordle, Q4’24 Feb '250 times: Wordle, Q1’25 May '250 times: Wordle, Q2’25 Aug '250 times: Wordle, Q3’25 Nov '250 times: Wordle, Q4’25 Feb '260 times: Wordle, Q1’26 May '261 time: Wordle, Q2’26 Aug '26, counts as saidrising1/812%1/812%11/8213%34%transcripts from the transcript model46¢ Kalshi
YouTube0 times: YouTube, Q3’24 Nov '240 times: YouTube, Q4’24 Feb '250 times: YouTube, Q1’25 May '250 times: YouTube, Q2’25 Aug '250 times: YouTube, Q3’25 Nov '250 times: YouTube, Q4’25 Feb '261 time: YouTube, Q1’26 May '26, counts as said0 times: YouTube, Q2’26 Aug '26steady1/812%0/80%3/824%27%transcripts from the transcript model46¢ Kalshi
OpenAI / ChatGPT1 time: OpenAI / ChatGPT, Q3’24 Nov '24, counts as said0 times: OpenAI / ChatGPT, Q4’24 Feb '250 times: OpenAI / ChatGPT, Q1’25 May '251 time: OpenAI / ChatGPT, Q2’25 Aug '25, counts as said0 times: OpenAI / ChatGPT, Q3’25 Nov '250 times: OpenAI / ChatGPT, Q4’25 Feb '260 times: OpenAI / ChatGPT, Q1’26 May '260 times: OpenAI / ChatGPT, Q2’26 Aug '26falling2/825%0/80%2/822%23%transcripts from the transcript model46¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • probability next time, with n
  • Select a word or a cell for its quotes
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little 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 22, 2026 23:26 UTC.

Every word

1–2 of 2, most settled first
New York Times: every word with settled markets, most settled first
WordQ3’24Nov '24Q4’24Feb '25Q1’25May '25Q2’25Aug '25Q3’25Nov '25Q4’25Feb '26Q1’26May '26Q2’26last callTrendLast 8ScriptedAll-timeProbability
Wirecutter5 times: Wirecutter, Q3’24 Nov '24, counts as said6 times: Wirecutter, Q4’24 Feb '25, counts as said2 times: Wirecutter, Q1’25 May '25, counts as said2 times: Wirecutter, Q2’25 Aug '25, counts as said1 time: Wirecutter, Q3’25 Nov '25, counts as said2 times: Wirecutter, Q4’25 Feb '26, counts as said1 time: Wirecutter, Q1’26 May '26, counts as said2 times: Wirecutter, Q2’26 Aug '26, counts as saidfalling8/8100%7/888%38/8246%81%n=1+tx from settlement history blended with transcripts
OpenAInever said0 times: OpenAI, Q3’24 Nov '240 times: OpenAI, Q4’24 Feb '250 times: OpenAI, Q1’25 May '250 times: OpenAI, Q2’25 Aug '250 times: OpenAI, Q3’25 Nov '250 times: OpenAI, Q4’25 Feb '260 times: OpenAI, Q1’26 May '260 times: OpenAI, Q2’26 Aug '26steady0/80%0/80%0/820%13%n=1+tx from settlement history blended with transcripts
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
Probability
the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

Appearances and settled record

latest 12

Our transcript counts matched how 10 of 10 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 5, 2026Earnings call FY26 Q2Speaker-labelled transcript0––
May 6, 2026Earnings call FY26 Q1Speaker-labelled transcript0––
Feb 4, 2026Earnings call FY25 Q4Speaker-labelled transcript107 yes · 3 no10/10 (100%)
Nov 5, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Aug 6, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
May 7, 2025Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 5, 2025Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 4, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Aug 7, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
May 8, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Feb 7, 2024Earnings call FY23 Q4Speaker-labelled transcript0––
Nov 8, 2023Earnings call FY23 Q3Speaker-labelled transcript0––

Citeparrot.markets, “New York Times (NYT): earnings call word history”, as of Oct 24, 2026, https://parrot.markets/earnings/NYT (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/new-york-times · words: /api/v1/history?entity=new-york-times · columnar JSON in #parrot-data · llms.txt · MCP