MarketsOtherWill at least 4 of the 7 Millennium Problems be so
📊 OtherKalshi95/100 confidence

Will at least 4 of the 7 Millennium Problems be solved by 2040?

Forecasting market: Will at least 4 of the 7 Millennium Problems be solved by 2040?

Alpha Opportunity

48/100
Market Price48%Kalshi
Analyst Estimate3%Analyst research
=
Your Edge+45.0%Bet sell
RecommendedNO0% APY
Trade on Kalshi

Alpha Thesis

📊 Dr. Sarah Chen⚖️ James Kowalski🔬 Dr. Aisha Patel🧠 Marcus WebbUpdated 2026-03-17
95/100
📊Free Summary

We SHARPLY REVISE DOWN to 3% (from 52%). Solving 4 of 7 Millennium Problems by 2040 would be the greatest intellectual achievement in mathematics history. In 26 years since the Prize was established, only ONE has been solved (Poincaré, 2003). Solving 3 MORE in 14 years — when mathematicians have made essentially zero progress on any of the remaining 6 — is near-impossible. Even AI tools cannot help: these require fundamental new theory, not computation.

📐Key Metrics

1
1 solved in 26 yearsHistorical RateOnly Poincaré Conjecture (2003). Zero breakthroughs on others.
2
Need 3 more by 20405.5x AccelerationMust solve at 5.5x the rate of the only era with ANY progress.
3
48% vs. 3%45-Point Edge!Market catastrophically overprices based on AI hype.

Key Findings

  • 1 of 7 solved in 26 years — Poincaré Conjecture by Perelman (2003). He declined the $1M prize.
  • Zero breakthroughs on 5 of 6 — P vs NP, Riemann, Yang-Mills, Hodge, BSD have no viable approaches.
  • AI cannot solve these — they require novel theoretical constructions, not pattern matching.
  • Even Terence Tao is pessimistic — described several as 'possibly unsolvable with current techniques.'
  • DeepMind's math AI solves Olympiad problems (undergrad level). These are research-frontier problems.
🔒

Full Research Report

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Alpha Quality Factors

Criteria that determine how exploitable this mispricing is

Edge Magnitude+45.0% raw edge — Strong mispricing
100
Liquidity Health$5K available — Thinner market, size carefully
0
Volume Activity$2K 24h volume — Lower activity, watch for stale pricing
0
Time ValueExpires in 12 months — Longer horizon, more uncertainty
40
Analyst Confidence95/100 confidence — Strong conviction
100

Human Bias Detected

Cognitive biases creating this alpha opportunity

🧠
Information Asymmetry

The crowd may lack specialized knowledge that narrows the true probability range.

Compare Markets

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Market Data

Liquidity$5K
24h Volume$2K
Expected Return0.0%
Annualized APY0%
Time to Expiry12 months
Risk Levelmedium

Position Sizing

Kelly Criterion (per $1,000 bankroll)

Full Kelly$48848.8%
½ Kelly ★$24424.4%
¼ Kelly$12212.2%

Payoff Scenarios

InvestWinLose
$100+$92-$100
$250+$231-$250
$500+$462-$500
$1000+$923-$1000

Analysis Team

📊
Dr. Sarah ChenLead Quantitative Analyst
⚖️
James KowalskiRisk & Position Strategist
🔬
Dr. Aisha PatelDomain Research Lead
🧠
Marcus WebbBehavioral Finance Specialist