Trader consensus on Polymarket prices a 74% implied probability that 2026 ranks first or second among the hottest years on record, driven by its exceptionally warm start despite a fading weak La Niña. Copernicus and NOAA data show January and February 2026 as the fifth-warmest on record globally, with the December 2025–March 2026 period setting new benchmarks for warmth amid ongoing anthropogenic forcing. The 11 prior years (2015–2025) formed the hottest streak, with 2024 confirmed as the warmest and 2025 second or third by NASA and WMO analyses. Transition to ENSO-neutral conditions (55–90% likely through mid-2026 per NOAA and IRI forecasts) or emerging El Niño risks could amplify summer–fall anomalies, though model ensembles highlight uncertainty in exact rankings pending full-year data. Upcoming March–April bulletins from NOAA and Copernicus will refine trajectories.
Resumo experimental gerado por IA com dados do Polymarket · AtualizadoOnde 2026 se classificará entre os anos mais quentes já registrados?
Onde 2026 se classificará entre os anos mais quentes já registrados?
2 47%
1 28%
4 14%
3 9.3%
$2,415,600 Vol.
$2,415,600 Vol.
1
28%
2
47%
3
9%
4
14%
5
1%
6 ou inferior
2%
2 47%
1 28%
4 14%
3 9.3%
$2,415,600 Vol.
$2,415,600 Vol.
1
28%
2
47%
3
9%
4
14%
5
1%
6 ou inferior
2%
Years will be ranked in descending order, starting with the hottest as number 1, the second hottest as number 2, etc.
If 2026 ties with any other year, it will resolve according to the place the year it ties with occupies.
This market will resolve immediately once the specified data becomes available, regardless of whether the figure for the relevant years is later revised.
The primary resolution source for this market will be the figure found in the table titled "Land-Ocean Temperature Index (C)" under the column "No_Smoothing" in the row "2026" (https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt). If NASA's "Global Temperature Index" is rendered permanently unavailable, other information from NASA may be used. If no information for 2026 is provided by NASA by March 1, 2027, 11:59 PM ET, this market will resolve based on a consensus of credible reporting.
Mercado Aberto: Nov 12, 2025, 5:44 PM ET
Resolver
0x2F5e3684c...Years will be ranked in descending order, starting with the hottest as number 1, the second hottest as number 2, etc.
If 2026 ties with any other year, it will resolve according to the place the year it ties with occupies.
This market will resolve immediately once the specified data becomes available, regardless of whether the figure for the relevant years is later revised.
The primary resolution source for this market will be the figure found in the table titled "Land-Ocean Temperature Index (C)" under the column "No_Smoothing" in the row "2026" (https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based_on_Land_and_Ocean_Data/graph.txt). If NASA's "Global Temperature Index" is rendered permanently unavailable, other information from NASA may be used. If no information for 2026 is provided by NASA by March 1, 2027, 11:59 PM ET, this market will resolve based on a consensus of credible reporting.
Resolver
0x2F5e3684c...Trader consensus on Polymarket prices a 74% implied probability that 2026 ranks first or second among the hottest years on record, driven by its exceptionally warm start despite a fading weak La Niña. Copernicus and NOAA data show January and February 2026 as the fifth-warmest on record globally, with the December 2025–March 2026 period setting new benchmarks for warmth amid ongoing anthropogenic forcing. The 11 prior years (2015–2025) formed the hottest streak, with 2024 confirmed as the warmest and 2025 second or third by NASA and WMO analyses. Transition to ENSO-neutral conditions (55–90% likely through mid-2026 per NOAA and IRI forecasts) or emerging El Niño risks could amplify summer–fall anomalies, though model ensembles highlight uncertainty in exact rankings pending full-year data. Upcoming March–April bulletins from NOAA and Copernicus will refine trajectories.
Resumo experimental gerado por IA com dados do Polymarket · Atualizado
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