Tools chosen: kalshi_direct kalshi_related fred claude_news code_execution polymarket_related

Sub-questions (Fermi decomposition)

Planner reasoning

This is a Kalshi long-horizon macro question about the bucket 2.6-3.0% for US real GDP growth in 2030, so the market price and the full bucket ladder are the primary anchors. Beyond that, the key work is establishing the historical distribution of annual US real GDP growth and comparing it to long-run consensus projections (CBO, Fed SEP longer-run, IMF), then computing the probability mass falling in a 0.4pp-wide bucket.

# Event Will US real GDP growth in calendar year 2030 fall between 2.6% and 3.0% (inclusive lower bound)? (Kalshi ticker KXGDPYEAR-30-B2.8) # Outcomes to forecast - Yes (2030 real GDP growth lands in 2.6%–3.0%) - No (growth falls outside this band) # Kalshi market anchor Current YES price: **19%** (up from 8% thirty days ago, +11pp/30d, +6pp/7d). Avg daily volume ~1,752 contracts over 11 data points — actively traded, sharply rising trend suggesting recent repricing upward, but still a minority-probability bucket. This is the consensus to beat. # Sub-question answers 1. **Current price & bucket distribution** — YES for B2.8 (2.6-3.0%) is 19%, up sharply (+11pp/30d). No full ladder for the 2030 series was retrieved; related 2036 series shows B2.8 at only 5% and a 1.6-2.0% bucket (B1.8) for 2035 at 15%, implying the market centers lower buckets for the 2030s. [kalshi_direct/kalshi_related] 2. **Resolution metric/vintage** — Not explicitly stated in rules (none provided); by convention these Kalshi GDP-year markets resolve on BEA's annual (calendar-year) percent change in real GDP (Q4-over-Q4 or annual average, per BEA's advance/annual release) — unconfirmed here, treat as a gap. [inferred, not source-confirmed] 3. **Historical frequency in 2.6-3.0% window** — Full sample 1950-2024: 14.7% of years (mean 3.17%, sd 2.32pp); 1985-2024: 20.0% (mean 2.63%, sd 1.69pp); 2000-2024: 24.0% (mean 2.15%, sd 1.77pp, small-sample noisy). [code_execution] 4. **Long-run projections for ~2030** — CBO (Mar 2026): potential GDP averages 2.1%/yr 2026-2030, 1.8%/yr 2031-2036 — implies low-2% for 2030. Fed SEP longer-run anchor: 2.0%. IMF WEO (Oct 2025): US growth easing to ~1.8% by 2030. Goldman Sachs: potential growth ~2.1% 2025-2029, possible acceleration early 2030s from AI. All converge near 1.8-2.2%, below the 2.6-3.0% band. [claude_news] 5. **Forecast uncertainty at 5-yr horizon** — Not directly quantified by a named recession-probability figure in research; parametric modeling (Normal μ=1.8-2.2%, σ=1.8-2.2pp) implies P(band)=6.5-8.4%; fat-tailed t(df=8) gives 7.0-9.1%. [code_execution] 6. **Near-term Kalshi markets extrapolation** — Related 2035/2036 markets: 2036 B2.8 priced at only 5%; 2035 B1.8 (1.6-2.0%) priced at 15%, suggesting market's implied central tendency for future years sits in the 1.6-2.2% zone, consistent with institutional forecasts, not the 2.6-3.0% band. [kalshi_related] # Key facts (high-confidence, factual) 1. [kalshi_direct] YES price 19%, +11pp over 30 days, +6pp over 7 days; volume ~1,752/day. 2. [kalshi_related] Analogous 2036 bucket (2.6-3.0%) trades at just 5%; 2035 lower-bucket (1.6-2.0%) trades at 15%. 3. [FRED A191RL1A225NBEA] Recent annual real GDP growth: 2022=2.5%, 2023=2.9%, 2024=2.8%, 2025=2.1% (partial/estimate). 4. [FRED GDPPOT] CBO potential GDP path implies annualized growth of ~1.8-2.1% through the 2030s. 5. [claude_news/CBO] CBO's 2026-2030 average potential growth = 2.1%/yr; 2031-2036 = 1.8%/yr. 6. [claude_news/Fed SEP] Fed's longer-run GDP growth anchor = 2.0%; 2026-2028 median forecasts 2.2-2.3%. 7. [code_execution] Empirical 1985-2024 base rate for this exact 0.4pp-wide bucket = 20.0%; parametric/model-based estimate centered on 2030 trend = ~7-9%. # Cross-market signals - Kalshi related: 2036 same-width bucket at 5% (much lower than 2030's 19%) — term structure shows market pricing higher probability of above-trend growth for 2030 than 2036, possibly reflecting near-term cyclical/AI optimism or repricing momentum rather than fundamentals. - Polymarket: No matching GDP 2030 markets found — no cross-check available. - Sportsbook implied: N/A (not applicable to economic data market). # Analyst opinions and speculation - Goldman Sachs: potential growth could accelerate above 2.1% baseline in early 2030s if AI productivity gains materialize faster than modeled; but this is speculative upside, not yet in institutional 2030 point estimates. - Penn Wharton: AI TFP boost ~0.18pp in 2030 — modest, insufficient alone to push trend into 2.6-3.0% band. - Code-execution synthesis: recommends 8-14% probability, central estimate 10-11%, blending parametric (~7-9%) with fatter-tail/recent-decade empirical base rates (20-24%). # Directional lean per outcome - **Yes (2.6-3.0%)**: Supported by recent actual prints (2023=2.9%, 2024=2.8%) sitting inside the band, and Kalshi's steep upward repricing (+11pp/30d) suggesting growing market conviction. Opposed by near-unanimous institutional consensus (CBO, Fed, IMF, Goldman) projecting 1.8-2.2% trend growth by 2030, and parametric/model estimates (~7-9%) far below Kalshi's 19%. - **No**: Supported by strong structural convergence of forecasters on sub-2.6% growth, aging demographics, slowing labor force growth, and CBO's explicit 2.1%→1.8% deceleration path. Only real risk to "No" is a surprise cyclical rebound/AI boom pushing 2030 growth into the band — a plausible but not base-case scenario. # Gaps / unknowns - Exact resolution methodology (Q4/Q4 vs annual-average, first vs final BEA estimate) not confirmed — could shift historical/mapped comparisons. - No full current-ladder de-vigged distribution for KXGDPYEAR-30 itself (only inferred from 2036/2035 analogues). - Reason for 19% price and its steep recent rise (11pp in 30 days) not explained by fundamentals in research — could reflect trading dynamics, low liquidity in far-dated contract, or genuine repricing on AI optimism. # Calibration anchors - Kalshi current YES price: **19%** (anchor, but trending up sharply). - Model/parametric fair value: ~7-9% (institutional-consensus-centered). - Historical base rate (1985-2024, 40yr): ~20%; (2000-2024, 25yr): ~24%. - Recommended blended range from independent analysis: 8-14%, central ~10-11% — meaningfully below current Kalshi price of 19%, suggesting Kalshi may be overpriced on YES; treat with caution given thin evidence explaining the recent price surge.

1. Both forecasters land at 12-14%, well below the blended recommendation of 8-14% (central 10-11%) but also well below Kalshi's 19% — yet neither explains why the market has moved +11pp in 30 days and +6pp in just 7 days with active volume (~1,752/day), a strong, persistent, liquid signal that arguably deserves more weight than a one-line dismissal as "unexplained repricing" or "momentum." 2. Both forecasters underweight the historical base-rate evidence: the 1985-2024 empirical frequency for this exact bucket is 20.0% and 2000-2024 is 24.0%, yet both settle near 12-14%, effectively siding almost entirely with the lower parametric/institutional estimate (7-9%) while only nominally "acknowledging" the higher base rate — this is a reference-class error that isn't justified by explicit reasoning for why 2030 should look more like the model-implied deceleration than the empirical 40-year track record. 3. Neither forecast addresses the resolution-methodology gap (Q4/Q4 vs. annual average, advance vs. final BEA estimate) explicitly flagged in the brief as unconfirmed — this could materially shift which historical years count as "in-band" and thus alter both the base-rate and parametric calculations, yet both treat the base rate as clean fact. 4. Both forecasters treat the 2035/2036 analogue markets (5% and 15% for lower buckets) as corroborating evidence for a low 2030 probability, but neither grapples with the puzzle that the market prices 2030 (19%) far higher than the structurally similar 2036 (5%) despite both facing the same institutional consensus — this term-structure anomaly could reflect genuine information (e.g., a specific near-term catalyst like AI capex or fiscal stimulus) that neither forecast explores as a scenario for why YES could be underpriced at 12-14%. 5. Neither forecast considers tail scenarios explicitly, such as a stagflation/recession-then-rebound trajectory or a debt-fueled fiscal expansion under a potential 2028 administration, which could push actual 2030 growth into the band from either a low base effect or sustained fiscal stimulus — the brief's "AI productivity boost" is discussed but other macro catalysts (fiscal policy, immigration/labor supply shocks) are not surfaced by either forecaster. 6. Both forecasts express high confidence (0.55, 0.63) while landing within 2 percentage points of each other and while the brief's own "recommended blended range" is 8-14% — this convergence may reflect anchoring on the same synthesis text rather than independent reasoning, understating the true uncertainty given unconfirmed resolution rules and an unexplained, sharply rising market price.

15% (59% confidence)

Yes: 15% No: 85%

Institutional projections (CBO 2.1% potential for 2026-2030, Fed longer-run 2.0%, IMF ~1.8%) center 2030 growth roughly 0.5pp below the band's lower edge, and parametric modeling of a 0.4pp-wide bucket at a 5-year horizon yields only ~7-9%. However, the red team is right that both forecasters under-weighted two live signals: the 40-year empirical frequency for this exact bucket (20%) and a liquid, persistently rising Kalshi price (19%, +11pp/30d) that may embed AI-capex/fiscal-expansion information not in the brief. The 2036 analogue at 5% cuts the other way but is a thinner, more distant contract, so the term-structure gap is weak evidence. Blending the model fair value with a partial-credibility weight on the market and recent-decade base rates lands slightly above the prior consensus at ~15% YES, still favoring No because sub-trend growth, demographic drag, and a wide dispersion of outcomes outside a narrow 0.4pp window dominate.

Total pipeline time: 168.3s