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Will the world pass 2 degrees Celsius over pre-industrial levels before 2050?

KXWARMING-50 · Climate and Weather · 2026-06-23
77%
Agent
81%
Market Price
-4.0%
Edge
50%
Confidence
Volume: 14,707
Spread: 3.0c
Days to resolution: 8592
Markets in event: 1
Final Rationale
Both forecasters converged near 79% anchored on the 81% Kalshi price, but the critique raises valid points: dataset resolution ambiguity (ERA5 runs ~0.05-0.10°C hotter than other series), the gap with scientific literature (50-70%), and concrete No pathways like volcanic suppression. The single-calendar-year criterion plus El Niño optionality genuinely boosts Yes above the trend-only estimate, justifying staying well above 50%. I shade modestly below the consensus to ~0.77 to reflect under-weighted downside scenarios while keeping Yes clearly favored given the ~1.5°C baseline, 0.27°C/decade trend, and 25 years of runway.
Price vs. prediction
How the market moved after the agent's call. Solid blue line is the actual market price; dashed line is the agent's static forecast at $t{=}0$.
$n = 22$ follow-ups
Re-scan Context
This market has been scanned before. Previous predictions:
DatePredictedMarket PriceConfidence
2026-06-16 78% 75% 50%
2026-05-16 74% 76% 50%
2026-05-08 71% 76% 55%
1. Planner Opus · Fermi decomposition + tool plan
Tools chosen: kalshi_direct claude_news kalshi_related polymarket_related code_execution
Sub-questions (Fermi decomposition)
  1. What was the most recent annual global mean surface temperature anomaly above the 1850-1900 baseline (e.g. 2023, 2024 values)?
  2. What is the current observed rate of warming per decade according to IPCC/NOAA/Copernicus?
  3. Have any individual months or years already temporarily exceeded +2.0°C, and what do projections say about when annual averages reach +2.0°C?
  4. Do current emission scenarios (SSP pathways) project crossing +2.0°C annual mean before 2050?
  5. What is the consensus/market-implied probability of crossing +2.0°C before 2050?
Planner reasoning
This is a long-horizon climate question resolving on whether any single calendar year before 2050 hits +2.0°C above 1850-1900 baseline. The key drivers are the current warming trajectory, recent record years (2023-2024 already neared +1.5°C), and projected warming rates from climate science. Market price is the anchor; news and historical anomaly data plus simple extrapolation math will calibrate.
2. Research Parallel tool calls
ToolStatusTimeItemsSummary
kalshi_direct OK 0.2s 1 ## This Market's Kalshi Data **Before 2050** (KXWARMING-50) - Current price (probability): 81.00% - 7-day price change: -1.00% - 30-day price change: +5.00% - Average daily volume: 60 contracts - Price range: 74.00% - 83.00% - Data points: 74 days
claude_news OK 31.8s 12 Here are the key findings for forecasting whether the world will pass +2°C above pre-industrial levels before 2050: --- **Current Temperature Anomalies (vs. 1850–1900 baseline)** - 2024 was the warmest year on record; Copernicus/ERA5 pegged global average surface air temperature at 1.60°C above
kalshi_related OK 5.2s 3 3 related markets / summaries. series KXWARMING: 0 markets (skipped 1 no-signal) | keyword 'global warming': ok | keyword 'climate temperature': ok | keyword '1.5 degrees': ok
polymarket_related OK 5.2s 0 Scanned 100 active Polymarket markets, kept 0 matches. keyword 'global warming': 0 markets | keyword 'temperature 2 degrees': 0 markets | keyword 'climate': 0 markets
code_execution OK 63.4s 1
3. Evidence Brief Sonnet · 4605 chars
# Event Will the world pass +2°C above pre-industrial (1850–1900) levels in any calendar year before Jan 1, 2050? # Outcomes to forecast - **Yes** — at least one calendar year before 2050 records ≥ +2.0°C annual mean anomaly - **No** — no such year occurs before 2050 # Kalshi market anchor **KXWARMING-50 current YES price: 81%** - 7-day change: −1 pp | 30-day change: +5 pp - Price range (74-day history): 74%–83% | Avg daily volume: 60 contracts - Trend: recently drifted up ~5 pp over the past month, slight pullback in past week # Sub-question answers 1. **Most recent annual anomaly vs. 1850–1900?** — 2024: ~1.51–1.60°C (Copernicus ERA5: 1.60°C; Berkeley Earth/HadCRUT5/NOAA: 1.51–1.55°C). 2025: ~1.47°C (ERA5). [Copernicus, Berkeley Earth] 2. **Current observed warming rate?** — Human-induced warming at ~0.27°C/decade (Copernicus 2025); NOAA reports ~0.20°C/decade since 1975 for land+ocean combined. [Copernicus, NOAA Climate.gov] 3. **Monthly/annual exceedances of +2°C already?** — No full calendar year has yet exceeded +2.0°C. The 2023–2025 three-year average exceeded 1.5°C (first such period ever). Individual months in 2023–2024 briefly crossed 2°C. Long-term (smoothed) warming estimated at ~1.37–1.40°C. Most projections place first annual +2°C crossing **mid-2040s to early 2050s**. [Copernicus, CarbonBrief] 4. **SSP pathways and +2°C before 2050?** — Under flat emissions: crossing 2040s–2070s. Under rising emissions: 2030s–2050s. Stanford AI study: ~50% chance of breaching 2°C even with net-zero by 2050s. Remaining 1.5°C carbon budget exhausted ~3 years at current emissions. [CarbonBrief, Stanford Sustainability] 5. **Consensus/market probability?** — Kalshi: 81%. No Polymarket equivalent found. Scientific literature implies ~50–70% depending on scenario assumptions; Kalshi appears to price in higher-end scenarios or El Niño variability. # Key facts (high-confidence, factual) 1. [Copernicus/ERA5] 2024 annual mean = 1.60°C above 1850–1900 baseline; 2025 = 1.47°C 2. [Berkeley Earth] 2023 = 1.62 ± 0.06°C above 1850–1900 3. [Copernicus] Underlying long-term warming trend = ~1.37°C as of 2025 4. [Copernicus] Rate of human-induced warming = 0.27°C/decade (record high) 5. [Monte Carlo simulation] At 0.20–0.30°C/decade with interannual variability + El Niño: P(any year ≥ 2.0°C before 2050) ≈ 75–85% 6. [CarbonBrief] Pure mid-trend (0.25°C/decade) linear crossing: ~2050, straddling the deadline # Cross-market signals - **Kalshi related:** EU meets 2030 climate goals: 48%; India meets 2030 climate goals: 69%; US meets 2025 climate goals: 6.6% — all suggest weak policy action, consistent with higher warming trajectory - **Polymarket:** No matching markets found - **Sportsbook implied:** N/A # Analyst opinions and speculation - CarbonBrief: +2°C annual crossing "mid-2040s to early 2050s" under current trends — straddles 2050 deadline - Stanford AI study: ~50% chance of breaching 2°C even under optimistic net-zero scenarios - ScienceInsights: "sometime between mid-2040s and early 2050s" at current rate - Key uncertainty: El Niño variability could pull a single-year spike to ≥2.0°C well before the trend line reaches it (~+10–15 pp to crossing probability per simulation) # Directional lean per outcome - **Yes (81% Kalshi):** Supported by 0.27°C/decade trend, ~1.5°C baseline already, El Niño spikes, weak global policy action, 25 years of runway. Even under moderate scenarios, a single El Niño year in 2035–2048 could spike above 2°C - **No (19% Kalshi):** Requires either significant emissions cuts materializing rapidly AND no major El Niño spike above 2°C through 2049. Trend line alone barely reaches 2°C by 2049 (pure linear mid-estimate), so "No" is plausible under lucky natural variability # Gaps / unknowns - Resolution criterion is a single calendar year ≥ 2.0°C, not sustained warming — increases Yes probability via El Niño spikes - Which dataset resolves (Copernicus vs. HadCRUT5 vs. NOAA) — ERA5 consistently runs ~0.05–0.10°C higher than other series - Future ENSO behavior (major El Niño in 2030s could resolve Yes early) - Volcanic eruptions could temporarily suppress temperatures # Calibration anchors - **Kalshi anchor: 81% Yes** (primary) - Monte Carlo simulation (0.20–0.30°C/decade + El Niño): ~80% crossing probability — broadly consistent with Kalshi - Scientific literature consensus: ~50–70% (somewhat below Kalshi; Kalshi may be pricing El Niño spike risk and ERA5 dataset's higher readings) - Pure linear mid-trend: first crossing ~2050, right at deadline — confirms genuine uncertainty and 75–85% range is reasonable
4. Forecasters Opus + GPT-5.5 in parallel
claude-opus-4-8
medium
Yes 79%
No 21%
Kalshi anchors at 81% YES; Monte Carlo simulations including El Niño variability suggest ~75-85%. Single-year crossing criterion plus current ~1.5°C baseline, 0.27°C/decade trend, weak policy, and 25 years of runway make a one-year ≥2°C spike likely. Slightly below Kalshi to account for scientific literature's more conservative 50-70% range and dataset uncertainty.
gpt-5.5
medium
Yes 79%
No 21%
Anchoring on the Kalshi YES price of 81%, I only move slightly lower because the scientific literature cited clusters nearer 50–70% and places the first +2°C annual crossing around the mid-2040s to early 2050s. Recent anomalies around 1.5–1.6°C and an underlying warming trend near 0.20–0.27°C/decade point toward Yes, since the world is already close enough that 25 years of trend plus variability can plausibly produce a ≥2.0°C calendar year. The fact that individual months have already crossed +2°C and Monte Carlo estimates with ENSO variability give roughly 75–85% before 2050 further supports Yes, especially because the market resolves on any single year rather than sustained warming. No remains meaningful because the pure trend crossing is near the 2050 deadline, dataset choice matters, and volcanic cooling or favorable variability could prevent an annual exceedance through 2049.
5. Devil's Advocate Sonnet · red-team critique
1. Both forecasters under-weight the dataset resolution ambiguity: ERA5 (Copernicus) already showed 2024 at 1.60°C while Berkeley Earth/HadCRUT5/NOAA showed 1.51–1.55°C — a 0.05–0.10°C gap that directly affects when a "calendar year ≥2.0°C" triggers. If resolution uses a lower-reading dataset, the effective target is ~0.10°C farther away, which could shift the probability meaningfully downward, yet neither forecaster adjusts for this unresolved gap. 2. Both forecasters treat the 50–70% scientific literature range as merely a light downward nudge to the Kalshi anchor, but do not interrogate why the gap exists. The literature range likely reflects multi-model ensemble medians under current-policy scenarios, whereas Kalshi may be pricing in El Niño spike optionality specifically — these are methodologically different quantities, and conflating them without reconciliation makes the ~79% figure less well-grounded than it appears. 3. Neither forecaster adequately quantifies the "No" scenario's concrete pathways: a major volcanic eruption (e.g., Pinatubo-scale) could suppress temperatures by 0.2–0.5°C for 1–3 years, and if timed in the late 2040s, it could prevent any annual exceedance through 2049. The brief mentions volcanic suppression as a gap but both forecasts dismiss the No case too quickly without assigning meaningful scenario weight to it. 4. The linear mid-trend crossing of ~2050 is described in the brief as straddling the deadline, yet both forecasters give only 21% to No — which implies roughly 80% confidence the trend-plus-variability resolves before the exact deadline. Given that the pure trend barely clears by 2049 and interannual variability cuts both ways, the No probability may be systematically under-stated relative to what a pure statistical reading of the trend would imply. 5. Both forecasts ignore the asymmetry in El Niño timing risk: a strong El Niño is more likely in some decades than others (e.g., late 2020s/early 2030s vs. mid-2040s), and the probability of a spike year depends heavily on ENSO phase alignment with the background trend. Neither forecaster discusses whether current ENSO forecasts or historical return periods favor or disfavor a spike in the critical 2035–2048 window, leaving a key driver unaddressed.
6. Aggregator Opus · final calibrated forecast
77% (50% confidence)
Yes: 77% No: 23%
Both forecasters converged near 79% anchored on the 81% Kalshi price, but the critique raises valid points: dataset resolution ambiguity (ERA5 runs ~0.05-0.10°C hotter than other series), the gap with scientific literature (50-70%), and concrete No pathways like volcanic suppression. The single-calendar-year criterion plus El Niño optionality genuinely boosts Yes above the trend-only estimate, justifying staying well above 50%. I shade modestly below the consensus to ~0.77 to reflect under-weighted downside scenarios while keeping Yes clearly favored given the ~1.5°C baseline, 0.27°C/decade trend, and 25 years of runway.
Pipeline Timing
Total pipeline time: 138.4s
Per-tool research timings shown in the Research section above.