MarketsOtherWill there be at least 1700 measles cases in the U
📊 OtherPolymarket70/100 confidence

Will there be at least 1700 measles cases in the U.S. by March 31, 2026?

Crowd consensus diverges from base-rate analysis. AI estimates 18% vs market's 10%, suggesting the market underprices this outcome.

Alpha Opportunity

56/100
Market Price10%Polymarket
Analyst Estimate55%Analyst research
=
Your Edge+45.5%Bet buy
RecommendedYES1000% APY
Trade on Polymarket

Alpha Thesis

📊 Dr. Sarah Chen⚖️ James Kowalski🔬 Dr. Aisha Patel🧠 Marcus WebbUpdated 2026-03-17
70/100
📊Free Summary

We estimate 55% probability of 1,700+ measles cases by March 31. CDC reports 1,362 confirmed cases as of March 12, 2026 across 31 jurisdictions. At the current rate of ~19.5 cases/day, the US would reach 1,362 + (19.5 × 19 days) = ~1,732 by March 31 — just above the threshold. The trajectory makes this a coin-flip that slightly favors YES, accounting for potential reporting lags and weekend effects.

📐Key Metrics

1
1,362 (Mar 12)CDC ConfirmedCases across 31 jurisdictions. 92% unvaccinated.
2
~19.5/day rateCurrent TrajectoryAt this rate: 1,362 + (19.5×19) = ~1,732 by March 31.
3
10% vs. 55%45-Point Edge!!Market massively underprices current trajectory math.

Key Findings

  • CDC data (March 12): 1,362 confirmed measles cases in 2026 across 31 jurisdictions.
  • Daily rate: ~19.5 cases/day — consistent over the past 6 weeks.
  • 92% of cases are unvaccinated — anti-vax movement driving sustained spread.
  • Math: 1,362 + (19.5 × 19) = ~1,732 — trajectory hits 1,700 around March 29-30.
  • Risk factors: reporting lag could delay count; outbreaks can accelerate or decelerate.
🔒

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Alpha Quality Factors

Criteria that determine how exploitable this mispricing is

Edge Magnitude+45.5% raw edge — Strong mispricing
100
Liquidity Health$2K available — Thinner market, size carefully
0
Volume Activity$502 24h volume — Lower activity, watch for stale pricing
0
Time ValueExpires in 3 weeks — Near-term catalyst
80
Analyst Confidence70/100 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.

🧠
Extreme Probability Neglect

Markets at extreme ends tend to be miscalibrated — people overestimate tiny risks or underestimate near-certainties.

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Market Data

Liquidity$2K
24h Volume$502
Expected Return90.6%
Annualized APY1000%
Time to Expiry3 weeks
Risk Levelmoderate

Position Sizing

Kelly Criterion (per $1,000 bankroll)

Full Kelly$4334433.4%
½ Kelly ★$2167216.7%
¼ Kelly$1084108.4%

Payoff Scenarios

InvestWinLose
$100+$10-$100
$250+$26-$250
$500+$52-$500
$1000+$105-$1000

Analysis Team

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