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How many Swiss cantons will be classified as "Extremely Dry" according to the Swiss drought platform on September 2, 2026?
6.0
Submitted p50
weighted_average
Fermi logic
climate
Domain
Plan 37.71s
Treat the count as a mixture over summer-2026 climate regimes: use sq1 (any extremely dry canton) and sq3 (widespread ≥5) to pin the lower bound and upper tail, sq2 to shift regime weights, and sq4 to discount for platform/definition ambiguity, then blend these correlated factors via a weighted average into a right-skewed distribution centered near 0-2 cantons.
Sub-questions (4)
sq1
Will at least one Swiss canton be classified as 'Extremely dry' on the National drought platform (trockenheit.admin.ch) when checked on/after September 2, 2026?
Determines whether the answer is 0 (the modal outcome in normal/wet years) or a positive integer; anchors the lower bound of the distribution.
w=0.35
sq2
Will summer 2026 (June-August) in Switzerland be substantially drier and hotter than the 1991-2020 normal, per MeteoSwiss/seasonal forecasts?
The count of extremely dry cantons is driven almost entirely by cumulative summer precipitation deficit and heat; a dry summer sharply raises the expected count.
w=0.30
sq3
Will five or more cantons be classified as 'Extremely dry' on September 2, 2026 (i.e., a widespread multi-canton drought like 2018/2022)?
Defines the upper tail; distinguishes a localized dry patch (1-4 cantons) from a nationwide drought event affecting a large share of the 26 cantons.
w=0.20
sq4
Will the drought platform still display an unchanged canton-level 'Extremely dry' classification scheme (no methodology/interface change or outage) in September 2026?
Resolution depends on the platform's specific classification categories and geographic display; a redesign or index change could shift or ambiguate the count, and default/ambiguous readings often push toward low values.
w=0.15
Tool requests (4)
claude_news
sq1, sq3, sq4
{"brief": "Explain how the Swiss National drought platform (trockenheit.admin.ch) classifies drought: what indices are shown (soil moisture, streamflow, groundwater, precipitation deficit), what the \u0027extremely dry\u0027 category means, whether classifications are shown by canton or by grid/region, and what the current/most recent status is (how many cantons or regions are \u0027extremely dry\u0027 now and in summer 2025). Also report Swiss drought conditions and MeteoSwiss summer 2025/2026 outlooks.", "max_searches": 4, "question_title": "How many Swiss cantons will be classified as \u0027Extremely Dry\u0027 according to the Swiss drought platform on September 2, 2026?"}
article_search
sq1, sq2, sq3
{"lookback_days": 400, "queries": ["Switzerland drought extremely dry cantons trockenheit platform", "Swiss summer heatwave rainfall deficit MeteoSwiss drought alert", "Switzerland water shortage cantons restrictions August September"]}
wikipedia_lookup
sq2, sq3
{"queries": ["2022 European drought", "2018 European drought", "Climate of Switzerland", "Cantons of Switzerland"]}
code_execution
sq1, sq3
{"code": "import numpy as np\n# Model: probability of a widespread late-summer drought in Switzerland (like 2003, 2015, 2018, 2022) ~ 4-5 events in ~25 years\np_severe = 0.18\np_moderate = 0.30 # localized dry (a few cantons)\np_normal = 1 - p_severe - p_moderate\nrng = np.random.default_rng(0)\nN=200000\nu = rng.random(N)\ncounts = np.empty(N)\nsev = u \u003c p_severe\nmod = (u \u003e= p_severe) \u0026 (u \u003c p_severe + p_moderate)\nnor = u \u003e= p_severe + p_moderate\ncounts[sev] = rng.integers(4, 20, sev.sum()) # widespread drought: many cantons\ncounts[mod] = rng.integers(1, 5, mod.sum()) # localized\ncounts[nor] = rng.choice([0,0,0,1], nor.sum()) # mostly zero\nprint(\u0027mean\u0027, counts.mean(), \u0027median\u0027, np.median(counts))\nfor q in [5,10,25,50,75,90,95]:\n print(q, np.percentile(counts, q))\nprint(\u0027P(\u003e=1)\u0027, (counts\u003e=1).mean(), \u0027P(\u003e=5)\u0027, (counts\u003e=5).mean(), \u0027P(0)\u0027, (counts==0).mean())", "description": "Monte Carlo of the distribution of the number of \u0027extremely dry\u0027 Swiss cantons in early September, using regime probabilities (normal / localized dry / widespread drought) to produce quantiles for the numeric answer."}
Research 25.6s · 4 tool(s) · 0 error(s)
claude_news
ok
13 citations
25.6s
article_search
ok
11 articles
0.75s
wikipedia_lookup
ok
3 pages
1.3s
code_execution
ok
Monte Carlo of the distribution of the number of 'extremely
0.23s
Cross-market signals
## Cross-Market Signals ### Polymarket - "Will there be no change in Fed interest rates after the September 2026 meeting?" → Yes: 0.70, Volume: $7.3M - "Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.4M - "Will the Fed decrease interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.01, Volume: $8.3M - "Will the Fed increase interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.28, Volume: $6.8M - "Will the Fed increase interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.8M
Evidence Synthesis 30.59s · 9 items
Article search returned no Switzerland-specific drought reporting for summer 2026; results were dominated by US, UK and Canadian drought stories and unrelated items.
Swissinfo reported that sparse rainfall and heatwaves had put Switzerland on drought alert, the framing behind the question's creation.
A Monte Carlo regime-mixture simulation produced median 1 canton, mean ~3.0, P(≥1)=0.61, P(0)=0.39, P(≥5)=0.17.
Europe experienced severe, Switzerland-affecting drought/heat summers in 2018 and 2022, implying roughly a 2-in-10-year base rate for widespread continental drought.
No MeteoSwiss or ECMWF/Copernicus seasonal forecast information for Swiss summer 2026 was retrieved by the research tools.
Attribution research found human-induced warming contributed over 30% of the 2022 European drought's intensity and spatial extent, indicating a rising drought-frequency trend.
Reported record-level spring 2026 drought was in the contiguous United States, with no indicated teleconnection to European or Alpine conditions.
No evidence was found of any planned methodology change, redesign, or outage of the trockenheit.admin.ch national drought platform.
The platform reports drought indices spatially (grid/region based) rather than as clean canton-level categories, creating ambiguity in counting 'extremely dry' cantons.
Information gaps
- No historical record of how many Swiss cantons were 'extremely dry' on ~Sept 2 in past years (base rate missing)
- No MeteoSwiss/Copernicus seasonal outlook or actual June-August 2026 precipitation/temperature anomalies
- No current (Aug 2026) snapshot of trockenheit.admin.ch soil-moisture/streamflow indices
- Unclear whether platform aggregates to canton level or only to grid cells
Key uncertainties
- Whether late-August 2026 rainfall reset soil-moisture indices before Sept 2
- Which index (soil moisture vs. streamflow vs. groundwater) Metaculus reads for 'extremely dry'
- Right-tail risk of a 2018/2022-style widespread Alpine drought
- Counting convention for partially affected cantons
Forecast 92.94s · opus, secondary
Rationale
(a) Resolution is on/after 2 Sept 2026, roughly one to three months from the apparent present, with the decisive June–August 2026 Alpine weather still largely unknown. (b) Status quo: the question's range is centred on 15 (4.5–25.5), hinting the generator anchored on a drought-alert snapshot where many cantons were flagged, but no verified current reading of trockenheit.admin.ch exists; a typical, non-drought early September would show few or zero 'extremely dry' cantons, which would resolve at the 4.5 floor. (c) Trend: climate-warming attribution work (2022 European drought) implies rising frequency/extent of Alpine drought, and dry-summer alerts have become common, nudging the central estimate upward from a pure historical base rate. (d) Base rates/expert signal: widespread continental droughts like 2018 and 2022 occur roughly 2 years in 10; a Monte Carlo regime mixture gave P(0)=0.39, mean ~3, P(≥5)=0.17 — implying substantial probability mass piling at the closed lower bound, though that simulation is weakly credible and the platform's spatial index may flag partial-canton dryness generously, raising counts. (e) Low scenario: a wet, thundery late-August 2026 recharges soil moisture, few or no regions hit the extreme class, and the question resolves at or just above 4.5. (f) High scenario: a 2018/2022-style blocking-high summer with heatwaves and a prolonged Mittelland/Valais deficit leaves most of the country in the extreme category, pushing the count to 18–25 cantons. Given the closed floor, I place heavy mass near the bottom of the range but keep a long right tail for a repeat of a nationwide drought and for a permissive counting convention.
Evidence brief shown to forecaster
1. [sq1 | article_search | WEAK cred 25 | NEUTRAL | VERY_RECENT] Article search returned no Switzerland-specific drought reporting for summer 2026; results were dominated by US, UK and Canadian drought stories and unrelated items. 2. [sq1 | question_description | MODERATE cred 70 | UP | DATED] Swissinfo reported that sparse rainfall and heatwaves had put Switzerland on drought alert, the framing behind the question's creation. 3. [sq1 | code_execution | WEAK cred 30 | NEUTRAL | VERY_RECENT] A Monte Carlo regime-mixture simulation produced median 1 canton, mean ~3.0, P(≥1)=0.61, P(0)=0.39, P(≥5)=0.17. 4. [sq3 | wikipedia_lookup | MODERATE cred 80 | DOWN | DATED] Europe experienced severe, Switzerland-affecting drought/heat summers in 2018 and 2022, implying roughly a 2-in-10-year base rate for widespread continental drought. 5. [sq2 | article_search | WEAK cred 20 | NEUTRAL | VERY_RECENT] No MeteoSwiss or ECMWF/Copernicus seasonal forecast information for Swiss summer 2026 was retrieved by the research tools. 6. [sq2 | wikipedia_lookup | MODERATE cred 82 | UP | DATED] Attribution research found human-induced warming contributed over 30% of the 2022 European drought's intensity and spatial extent, indicating a rising drought-frequency trend. 7. [sq2 | article_search | WEAK cred 60 | NEUTRAL | DATED] Reported record-level spring 2026 drought was in the contiguous United States, with no indicated teleconnection to European or Alpine conditions. 8. [sq4 | article_search | WEAK cred 35 | NEUTRAL | VERY_RECENT] No evidence was found of any planned methodology change, redesign, or outage of the trockenheit.admin.ch national drought platform. 9. [sq4 | question_description | MODERATE cred 55 | NEUTRAL | DATED] The platform reports drought indices spatially (grid/region based) rather than as clean canton-level categories, creating ambiguity in counting 'extremely dry' cantons. ## Cross-Market Signals ### Polymarket - "Will there be no change in Fed interest rates after the September 2026 meeting?" → Yes: 0.70, Volume: $7.3M - "Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.4M - "Will the Fed decrease interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.01, Volume: $8.3M - "Will the Fed increase interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.28, Volume: $6.8M - "Will the Fed increase interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.8M Information gaps: - No historical record of how many Swiss cantons were 'extremely dry' on ~Sept 2 in past years (base rate missing) - No MeteoSwiss/Copernicus seasonal outlook or actual June-August 2026 precipitation/temperature anomalies - No current (Aug 2026) snapshot of trockenheit.admin.ch soil-moisture/streamflow indices - Unclear whether platform aggregates to canton level or only to grid cells Key uncertainties: - Whether late-August 2026 rainfall reset soil-moisture indices before Sept 2 - Which index (soil moisture vs. streamflow vs. groundwater) Metaculus reads for 'extremely dry' - Right-tail risk of a 2018/2022-style widespread Alpine drought - Counting convention for partially affected cantons
Raw forecast prompt
You are an elite superforecaster. Produce a probability distribution over the answer to this Metaculus numeric question.
## Question
How many Swiss cantons will be classified as "Extremely Dry" according to the Swiss drought platform on September 2, 2026?
## Description / Resolution Criteria
## Description
Swissinfo: [Sparse rainfall and heatwaves have put Switzerland on drought alert](https://www.swissinfo.ch/eng/climate-adaptation/sparse-rainfall-and-heatwaves-have-put-switzerland-on-drought-alert/91493521)
`{"format": "bot_tournament_question", "info": {"hash_id": "0fea5d8457ac1063", "sheet_id": "167"}}`
## Resolution Criteria
This question resolves as the number of Swiss cantons classified as "Extremely dry" according to the Swiss [National drought platform](https://www.trockenheit.admin.ch/en) when accessed by Metaculus on or after September 2, 2026.
## Range
The answer must be a number in [4.5, 25.5] (units: cantons).
## Sub-question decomposition (planner)
- (w=0.35) Will at least one Swiss canton be classified as 'Extremely dry' on the National drought platform (trockenheit.admin.ch) when checked on/after September 2, 2026? — Determines whether the answer is 0 (the modal outcome in normal/wet years) or a positive integer; anchors the lower boun
- (w=0.30) Will summer 2026 (June-August) in Switzerland be substantially drier and hotter than the 1991-2020 normal, per MeteoSwiss/seasonal forecasts? — The count of extremely dry cantons is driven almost entirely by cumulative summer precipitation deficit and heat; a dry
- (w=0.20) Will five or more cantons be classified as 'Extremely dry' on September 2, 2026 (i.e., a widespread multi-canton drought like 2018/2022)? — Defines the upper tail; distinguishes a localized dry patch (1-4 cantons) from a nationwide drought event affecting a la
- (w=0.15) Will the drought platform still display an unchanged canton-level 'Extremely dry' classification scheme (no methodology/interface change or outage) in September 2026? — Resolution depends on the platform's specific classification categories and geographic display; a redesign or index chan
## Synthesized evidence
1. [sq1 | article_search | WEAK cred 25 | NEUTRAL | VERY_RECENT] Article search returned no Switzerland-specific drought reporting for summer 2026; results were dominated by US, UK and Canadian drought stories and unrelated items.
2. [sq1 | question_description | MODERATE cred 70 | UP | DATED] Swissinfo reported that sparse rainfall and heatwaves had put Switzerland on drought alert, the framing behind the question's creation.
3. [sq1 | code_execution | WEAK cred 30 | NEUTRAL | VERY_RECENT] A Monte Carlo regime-mixture simulation produced median 1 canton, mean ~3.0, P(≥1)=0.61, P(0)=0.39, P(≥5)=0.17.
4. [sq3 | wikipedia_lookup | MODERATE cred 80 | DOWN | DATED] Europe experienced severe, Switzerland-affecting drought/heat summers in 2018 and 2022, implying roughly a 2-in-10-year base rate for widespread continental drought.
5. [sq2 | article_search | WEAK cred 20 | NEUTRAL | VERY_RECENT] No MeteoSwiss or ECMWF/Copernicus seasonal forecast information for Swiss summer 2026 was retrieved by the research tools.
6. [sq2 | wikipedia_lookup | MODERATE cred 82 | UP | DATED] Attribution research found human-induced warming contributed over 30% of the 2022 European drought's intensity and spatial extent, indicating a rising drought-frequency trend.
7. [sq2 | article_search | WEAK cred 60 | NEUTRAL | DATED] Reported record-level spring 2026 drought was in the contiguous United States, with no indicated teleconnection to European or Alpine conditions.
8. [sq4 | article_search | WEAK cred 35 | NEUTRAL | VERY_RECENT] No evidence was found of any planned methodology change, redesign, or outage of the trockenheit.admin.ch national drought platform.
9. [sq4 | question_description | MODERATE cred 55 | NEUTRAL | DATED] The platform reports drought indices spatially (grid/region based) rather than as clean canton-level categories, creating ambiguity in counting 'extremely dry' cantons.
## Cross-Market Signals
### Polymarket
- "Will there be no change in Fed interest rates after the September 2026 meeting?" → Yes: 0.70, Volume: $7.3M
- "Will the Fed decrease interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.4M
- "Will the Fed decrease interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.01, Volume: $8.3M
- "Will the Fed increase interest rates by 25 bps after the September 2026 meeting?" → Yes: 0.28, Volume: $6.8M
- "Will the Fed increase interest rates by 50+ bps after the September 2026 meeting?" → Yes: 0.00, Volume: $4.8M
Information gaps:
- No historical record of how many Swiss cantons were 'extremely dry' on ~Sept 2 in past years (base rate missing)
- No MeteoSwiss/Copernicus seasonal outlook or actual June-August 2026 precipitation/temperature anomalies
- No current (Aug 2026) snapshot of trockenheit.admin.ch soil-moisture/streamflow indices
- Unclear whether platform aggregates to canton level or only to grid cells
Key uncertainties:
- Whether late-August 2026 rainfall reset soil-moisture indices before Sept 2
- Which index (soil moisture vs. streamflow vs. groundwater) Metaculus reads for 'extremely dry'
- Right-tail risk of a 2018/2022-style widespread Alpine drought
- Counting convention for partially affected cantons
## Required pre-forecast walkthrough
Before giving percentiles, address these explicitly in your rationale:
(a) The time left until the question resolves.
(b) The outcome if NOTHING changes from today (the status quo value).
(c) The outcome if the CURRENT TREND continues.
(d) The expectations of experts / markets / base rates.
(e) A plausible scenario that produces a LOW outcome (near p10).
(f) A plausible scenario that produces a HIGH outcome (near p90).
## Calibration guidance
- **Be humble about tails.** Good forecasters set WIDE 90/10 intervals to account for unknown unknowns. Narrow tails get punished by the log score far more than slightly-biased medians.
- **Status quo anchoring.** The p50 should be close to the status quo value unless you have strong evidence of a trend.
- Don't pile mass at one value — if you're tempted, widen the spread by 20-50%.
- **Anchor on markets/experts.** If liquid market prices, analyst forecasts, or community percentiles appear in the evidence, center your distribution on them and widen — don't override a liquid market without specific evidence it lacks.
- **Relative-return / spread questions ("how much will X's return exceed Y's").** A near-zero median is usually right, but size the TAILS to the more VOLATILE leg, not to a generic 2-3pp spread. Two broad equity indices (e.g. Nasdaq-100 vs S&P 500) do stay within roughly ±2-3pp over a two-week window. But when one leg is a commodity (crude oil, gold) or a single high-beta stock (e.g. Nvidia), the two-week realized spread regularly reaches ±10pp or more — crude-vs-equity spreads have hit ±18pp. In those cases set p10/p90 to at least ±10pp (±15pp or wider for oil) while keeping the median near the status-quo spread; the 2-3pp intuition applies only to index-vs-index.
- **Heavy-tailed one-off magnitudes (opening-weekend box office, product-launch or debut numbers).** Pre-event tracking for these routinely misses by ±40% or more, and results land both far above and far below the consensus. Do NOT treat the displayed [min, max] range as the plausible range or clamp p10/p90 to its edges: the outcome can fall outside the range in either direction (recent opening weekends resolved ~7% above a displayed ceiling in one case and roughly half the displayed floor in another). Set p10/p90 wide enough that a 2x-or-0.5x surprise versus your central estimate still lands inside the interval, and when concrete current tracking disagrees with historical/franchise base rates, weight the tracking.
## Output
Return ONLY valid JSON, no markdown fences:
{
"rationale": "<address (a) through (f) above, then state your distribution — 6-10 sentences total>",
"p10": <number>,
"p25": <number>,
"p50": <number>,
"p75": <number>,
"p90": <number>
}
Percentiles MUST be in non-decreasing order (p10 <= p25 <= p50 <= p75 <= p90).