Tools chosen: kalshi_direct kalshi_related fred code_execution claude_news polymarket_related

Sub-questions (Fermi decomposition)

Planner reasoning

This is a very long-horizon macro question (2035 annual US real GDP growth in the 1.6–2.0% bucket) that will be dominated by base rates and long-run potential-growth projections rather than news. The key inputs are the Kalshi market's own bucket prices across the KXGDPYEAR-35 event, the historical distribution of annual real GDP growth (how often it lands in a 0.4pp-wide window near 1.8%), and official long-run forecasts (CBO, Fed SEP longer-run, IMF) that center around ~1.8%.

# Event Kalshi market KXGDPYEAR-35-B1.8 resolves YES if US real GDP growth in 2035 falls between 1.6% and 2.0%. # Outcomes to forecast - Yes (2035 real GDP growth in [1.6%, 2.0%]) - No (growth outside that band) # Kalshi market anchor **Current YES price: 14.00%** (up from 8-9% a month ago; +5pp over 7 days, +6pp over 30 days). Average daily volume ~1,329 contracts across 11 data points — actively traded, trending upward toward model-implied fair value. Price range over window: 8%-15%. # Sub-question answers 1. **Cross-bucket implied distribution** — Only two adjacent buckets surfaced: this 1.6-2.0% bucket (14%) and 2036's 2.6-3.0% bucket (5%, different year, not directly comparable). No full 2035 bucket ladder was retrieved, so a de-vigged distribution across all 2035 buckets could not be constructed. [kalshi_direct/kalshi_related] 2. **Historical base rate** — 1948-2024: 6.5% of years (5/77) fell in [1.6%,2.0%]. 1990-2024: 14.3% (5/35). 2000-2024: 16.0% (4/25). Base rate is rising over time as trend growth decelerates. [code_execution/BEA data] 3. **Institutional forecasts for ~2035** — CBO Jan 2025/2026 baseline: real GDP growth averaging ~1.8%/yr through 2035. Fed SEP longer-run estimate: 1.8-2.0% (rose to 2.0% in March 2026 SEP, held there June 2026; FRED GDPC1MDLR/GDPC1CTMLR confirm 1.8-1.9-2.0% range 2023-2026 vintages). IMF-implied medium-term US trajectory: easing toward ~1.8% by 2030. All three cluster inside or at the edge of the 1.6-2.0% band. [claude_news/FRED] 4. **Distribution shape/normal-model probability** — Full-sample sd=2.33%, 1990-2024 sd=1.74%, 2000-2024 sd=1.77%. Normal model centered at 1.8-2.1% with sd 1.5-2.5% yields P(band)=6.4%-10.6%, clustering ~6-11% regardless of mean assumption (narrow 0.4pp band vs. typical 1.5-2.5pp sd). [code_execution] 5. **BEA series/vintage used by Kalshi** — Not specified in rules or research; likely annual Q4/Q4 or annual-average % change from BEA NIPA, standard first-major revision vintage, but exact resolution source is unconfirmed. [gap] 6. **Structural factors** — Goldman Sachs: potential GDP growth ~2.1% (2025-29) rising to 2.3% (early 2030s) on AI productivity, but immigration crackdown cuts labor-force contribution from 0.8pp to 0.3pp/yr — a headwind. Penn Wharton: AI raises GDP level by 1.5% by 2035 (cumulative), adds only ~0.2pp/yr peak in 2032 — modest, temporary. Deloitte: near-zero working-age population growth from lower immigration, partially offset by AI productivity upgrades. Net effect: modest upside (AI) vs. modest downside (immigration/demographics), roughly offsetting, consistent with ~1.8-2.0% consensus. [claude_news] # Key facts (high-confidence, factual) 1. [kalshi_direct] YES currently 14%, up 5-6pp over past week/month — market has been repricing upward. 2. [claude_news/CBO] CBO's official baseline projects ~1.8%/yr average real GDP growth through 2035 — directly inside the band. 3. [FRED GDPC1MDLR] Fed median longer-run real GDP projection has been 1.8% (2023-2025 SEPs) rising to 2.0% (Mar/Jun 2026 SEPs) — band-adjacent to inside. 4. [code_execution] Empirical base rate for a random year landing in this 0.4pp band: 6.5% (1948-2024) to 14-16% (1990-2024, 2000-2024). 5. [code_execution] Blended model estimate: ~12% probability (range 9-15%). # Cross-market signals - Kalshi related: 2036 GDP bucket (2.6-3.0%) priced at only 5%, consistent with market expecting growth to stay near/below trend, not high growth. - Kalshi nominal GDP 2036 market (Above 6.0%) at 36%, thinly traded (7 contracts/day) — limited signal value. - Polymarket: no matching GDP markets found; no cross-check available. - Sportsbook implied: N/A (not applicable to macro). # Analyst opinions and speculation - Goldman Sachs: potential growth trending toward 2.1-2.3% by early 2030s (AI-driven), somewhat above the 1.6-2.0% band's center — modest bearish (No) tilt for this specific bucket if realized. - Deloitte: growth forecasts revised higher recently on AI optimism, but immigration-driven labor slowdown is a persistent drag pulling the other way. - Penn Wharton: AI's annual growth boost is small and temporary (~0.2pp peak), not enough to push materially outside 1.6-2.0% by itself. # Directional lean per outcome - **Yes (14% market price)**: Supported by CBO's explicit ~1.8% baseline and Fed's 1.8-2.0% longer-run anchor — both land squarely in band. Base-rate trend (14-16% in recent 25-35yr windows) and blended quant model (~12%) also support a price meaningfully above single-digits. Recent market momentum (+5-6pp) suggests convergence toward these institutional/empirical estimates. - **No (implied 86%)**: Supported by (a) any single year's realized growth being volatile (annual sd 1.7-2.3pp) — even if trend is ~1.8%, a specific year easily misses the narrow 0.4pp window; (b) Goldman's more optimistic 2.1-2.3% AI-driven potential growth path would push actual 2035 growth above the band; (c) recession/shock risk over an 8-year horizon could pull growth well below 1.6% in a given year. # Gaps / unknowns - No full ladder of 2035 GDP buckets (below 1.6%, above 2.0%, etc.) retrieved — cannot de-vig or confirm the market's implied distribution shape/mean. - Exact BEA resolution vintage/method (Q4/Q4 vs annual-average, advance vs final) not confirmed — could shift realized value near threshold. - No polymarket or sportsbook cross-check available. - Long horizon (event closes Feb 2036) means macro conditions could shift substantially; no current-year (2025) actual/nowcast data provided to anchor near-term trajectory. # Calibration anchors - Kalshi current YES price: **14%** (anchor, trending up from 8%). - Empirical base rate 1990-2024 (25-35yr recent windows): 14-16%. - Quant blended model estimate: ~12% (range 9-15%). - Full-history (1948-2024) base rate: 6.5% (likely stale given structural growth deceleration).

1. Neither forecaster addresses the recession/shock tail scenario with any structural weighting: an 8-year horizon includes meaningful probability of a recession year (growth <0%) or a boom year (>2.5%), which historically dominates variance more than smooth trend deviation — both forecasts treat volatility as roughly symmetric/normal without checking if the historical 5/25 "hits" cluster in unusually stable periods (e.g., pre-2020 expansion years), which could overstate the tail-adjusted probability of landing in a narrow band. 2. Both forecasters converge tightly on 13-14%, essentially anchoring to the Kalshi price and blended model without independently stress-testing the resolution-vintage ambiguity flagged in the brief ("exact BEA resolution vintage/method... not confirmed") — a Q4/Q4 vs annual-average choice could shift realized value by several tenths of a point right at the band edges, which neither rationale incorporates into uncertainty. 3. Neither forecast grapples with the momentum signal itself as information: price moved +5-6pp in a month toward the institutional/empirical range, which could mean either (a) the market is converging on fair value (bullish continuation argument), or (b) is overshooting on recent news and due for reversion — both treat the trend as confirmatory without weighing continued upward drift as a reason to go higher than 14%, despite explicitly noting the trend "was trending upward toward model-implied fair value." 4. The brief notes Goldman's potential growth path of 2.1-2.3% by early 2030s as a "modest bearish (No) tilt," but neither forecaster quantifies how much probability mass this shifts to the "above 2.0%" bucket versus the "below 1.6%" bucket — asymmetric skew in the excluded mass (more likely above than below, given AI upside scenarios) isn't reflected in either rationale, though it could matter for how "at the edge" the band truly is. 5. Both forecasters land within 1pp of each other (13% vs 14%) and essentially just split the difference between the market price and the blended model, but neither independently proposes a de-vigged full bucket ladder or sanity-checks against the adjacent 2036 bucket priced at 5% for a wider band (2.6-3.0%) — implying the 2035 market's "no full ladder" gap could hide inconsistencies in the market's implied total probability mass across categories that neither addresses. 6. Given the explicit calibration anchors ranging 9-15% (quant model) and 14-16% (recent empirical base rate) and 14% (market price), both forecasts settle almost exactly on the market price with minimal independent adjustment — this is defensible but represents low information-diversity between the two forecasts, understating scenario uncertainty that a wider band (e.g., 10-17%) might better capture given the multiple divergent methodologies cited.

13% (62% confidence)

Yes: 13% No: 87%

The band is only 0.4pp wide against annual real GDP growth volatility of ~1.7-2.3pp, so even a perfectly centered forecast (CBO ~1.8%, Fed longer-run 1.8-2.0%) usually misses it; normal-model estimates give 6-11% and recent-window base rates 14-16%, bracketing the 14% market price. Both forecasters converged on 13-14% by anchoring to the market and the ~12% blended model, and the critique's points — recession/boom tail dominance, resolution-vintage ambiguity, and asymmetric excluded mass skewed above 2.0% via Goldman's 2.1-2.3% potential path — all argue mildly against pushing above the market rather than toward it. Momentum (+5-6pp in a month) is genuine information that the market was underpriced, but it has now roughly converged with the empirical/institutional range, so extrapolating further drift is unwarranted. I settle at 13%, a hair below the 14% anchor, reflecting the quant model's slightly lower center and the fact that eight-year-ahead shock risk fattens the tails outside a narrow band.

Total pipeline time: 114.4s