The strong scientific consensus on long-term anthropogenic warming from elevated greenhouse gas concentrations is the primary driver behind traders assigning 57.5% implied probability to 2026 ranking as the second-hottest year on record and 35% to first place. Observational data from recent years show 2023 and 2024 setting new global temperature records, with the post-El Niño transition to neutral or La Niña conditions expected to moderate but not reverse the upward trend. Climate models indicate that baseline temperatures will likely keep 2026 within the top few years historically, though exact ranking hinges on seasonal variability and regional heat patterns. NOAA and similar agencies will release updated global temperature analyses through mid-year, providing key data points that could shift market-implied odds as more observations accumulate.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiDi mana peringkat 2026 di antara tahun - tahun terpanas yang pernah tercatat?
2 57%
1 35%
4 2.8%
6 atau lebih rendah 2.3%
$2,821,661 Vol.
$2,821,661 Vol.
1
35%
2
57%
3
2%
4
3%
5
1%
6 atau lebih rendah
2%
2 57%
1 35%
4 2.8%
6 atau lebih rendah 2.3%
$2,821,661 Vol.
$2,821,661 Vol.
1
35%
2
57%
3
2%
4
3%
5
1%
6 atau lebih rendah
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.
Pasar Dibuka: 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...The strong scientific consensus on long-term anthropogenic warming from elevated greenhouse gas concentrations is the primary driver behind traders assigning 57.5% implied probability to 2026 ranking as the second-hottest year on record and 35% to first place. Observational data from recent years show 2023 and 2024 setting new global temperature records, with the post-El Niño transition to neutral or La Niña conditions expected to moderate but not reverse the upward trend. Climate models indicate that baseline temperatures will likely keep 2026 within the top few years historically, though exact ranking hinges on seasonal variability and regional heat patterns. NOAA and similar agencies will release updated global temperature analyses through mid-year, providing key data points that could shift market-implied odds as more observations accumulate.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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