# Political debates (political-debates) · debate 2025-10-16 · 55 words · K k:KXNYCMAYORDEBATEMENTION-25OCT16 · P p:what-will-be-said-at-1st-nyc-mayoral-debate-on-october-16-288 · as_of 2026-10-24T10:48:03Z
# scope K any_candidate; P named · n/y settled before 2025-10-16 · tn/th blank: no debate transcripts yet · p_src prior = base rate, ranked after the rest · not advice: base rates, not forecasts; operators trade these markets (parrot.markets/disclosure); data CC BY 4.0, credit parrot.markets
# rules K k:KXNYCMAYORDEBATEMENTION-25OCT16 ({word} = w of K rows): If The Participating Candidates says {word} as part of NYC Mayoral Debate on October 16th, then the market resolves to Yes.
# rules P p:what-will-be-said-at-1st-nyc-mayoral-debate-on-october-16-288 (every P row; the listed term = w): This market will resolve to "Yes" if any candidate says the listed term during his appearance at this event.
# rows 1-39 of 55 by p · more: offset=39 (limit=0 lists all)
w	key	thr	v	n	y	rate	l10	p	p_src	res
Billionaire	billionaire	1	K	2	2	1	YY	0.66	hist	yes
Rikers	riker	1	K	2	2	1	YY	0.66	hist	yes
Homeless	homeless	1	K	2	2	1	YY	0.65	hist	yes
Rent	rent	1	K	2	2	1	YY	0.65	hist	yes
Rikers / Manhattan	manhattan|riker	1	P	0	0			0.64	hist	yes
Crime	crime	1	K	1	1	1	Y	0.6	hist	yes
Israel	israel	1	K	1	1	1	Y	0.6	hist	yes
Subway	subway	1	K	1	1	1	Y	0.6	hist	yes
Trump	trump	1	K	1	1	1	Y	0.6	hist	yes
Sanctuary city / Hottest city	hottest city|sanctuary city	1	P	0	0			0.59	hist	no
Corrupt / Corruption	corrupt|corruption	1	K	1	1	1	Y	0.58	hist	yes
Socialist / Socialism	socialism|socialist	1	K	0	0			0.58	hist	yes
Italian	italian	1	K	1	0	0	n	0.44	hist	no
Inflation	inflation	1	K	1	0	0	n	0.42	hist	no
AI / Artificial Intelligence	ai|artificial intelligence	1	P	4	1	0.25	nnYn	0.4	hist	no
Crypto / DOGE	crypto|doge	1	P	0	0			0.33	hist	no
Affordability / Affordable 20+ times	affordability|affordable#20	20	P	0	0			0.52	prior	no
Cat / PETA	cat|peta	1	P	0	0			0.52	prior	no
Charlie / Kirk	charlie|kirk	1	P	0	0			0.52	prior	no
Defund / Defunding	defund|defunding	1	P	0	0			0.52	prior	yes
Immigrant 8+ times	immigrant#8	8	P	0	0			0.52	prior	no
LGBTQ / Transgender	lgbtq|transgender	1	P	0	0			0.52	prior	no
National Guard 4+ times	national guard#4	4	P	0	0			0.52	prior	yes
New York / New Yorker 30+ times	new york|new yorker#30	30	P	0	0			0.52	prior	yes
Oligarchy / Wall Street	oligarchy|wall street	1	P	0	0			0.52	prior	no
Public transport 3+ times	public transport#3	3	P	0	0			0.52	prior	no
Rent Control / Rent Controlled	rent control|rent controlled	1	P	0	0			0.52	prior	no
Sexual / Harassment	harassment|sexual	1	P	0	0			0.52	prior	yes
Tariff 5+ times	tariff#5	5	P	0	0			0.52	prior	no
Thousand / Million / Billion 15+ times	billion|million|thousand#15	15	P	0	0			0.52	prior	yes
Trump 20+ times	trump#20	20	P	0	0			0.52	prior	yes
Uganda / Venezuela	uganda|venezuela	1	P	0	0			0.52	prior	yes
War Crime / War Criminal	war crime|war criminal	1	P	0	0			0.52	prior	no
Ackman	ackman	1	K	0	0			0.51	prior	yes
Beret	beret	1	K	0	0			0.51	prior	yes
Capitalism	capitalism	1	K	0	0			0.51	prior	no
Czar	czar	1	K	0	0			0.51	prior	no
Data	data	1	K	0	0			0.51	prior	yes
Donation	donation	1	K	0	0			0.51	prior	no