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Prediction Markets Price US Measles Cases for 2026 at Nearly $9 Million in Volume

Gamblers have wagered nearly $9 million on future measles cases in the United States since January on Kalshi and Polymarket. The markets, which originated as an academic tool for forecasting elections and diseases, have shown surprising accuracy on measles, correctly projecting 2288 cases by the end of 2025.

New Scientist
1 source·May 8, 5:21 PM(12 hrs ago)·1m read
Prediction Markets Price US Measles Cases for 2026 at Nearly $9 Million in Volumethehindubusinessline.com
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U.S. on prediction markets Kalshi and Polymarket since January 2026. The wagers come as measles cases and outbreaks have been rising across the country.

Prediction markets involve buying and selling shares on yes or no questions about future events, with share prices reflecting the percentage of yes bets. If a predicted event occurs, successful bettors receive $1 per share.

U.S. Federal elections. In 2003, Philip Polgreen, an infectious disease researcher at the University of Iowa, asked the economists to incorporate diseases into the prediction market.

A trader using the pseudonym Magamyman won $553,000 on Polymarket by correctly predicting when Ayatollah Ali Khamenei would be removed from power. Ayatollah Ali Khamenei was killed on 28 February 2026. U.S. By the end of 2025. S. by the end of 2025. Spencer J. " He noted that epidemiologists use multiple data streams including vaccination rates, genomic data and climate data to predict diseases.

Spencer J. Fox said everyone is looking for an edge for forecasting infectious diseases and is constantly on the lookout for new data streams. " Spencer J. Fox said prediction markets do not incorporate as many distinct forecasts as scientific models or offer as much granularity.

" @NewScientist reported that the measles betting markets may turn out to be a promising source of data for researchers modelling the spread of the disease despite the murky ethics of such wagers.

Key Facts

Nearly $9 million bet on U.S. measles cases since January 20
Wagers placed on Kalshi and Polymarket amid rising measles outbreaks; markets previously forecasted 2000 cases by end-2025 versus actual 2288
Prediction markets originated at University of Iowa in 1988
Developed by Robert Forsythe, George Neumann and Forrest Nelson for election forecasting; expanded to diseases in 2003 at request of Philip Polgreen
Spencer J. Fox evaluates measles market accuracy
Northern Arizona University forecaster says market performance exceeds some scientific models but lacks granularity and cannot replace expert forecasting of rar

Story Timeline

6 events
  1. 1988

    Economists at University of Iowa develop prediction markets for U.S. federal elections

    1 source@NewScientist
  2. 2003

    Philip Polgreen asks economists to add diseases to prediction markets

    1 source@NewScientist
  3. June 2025

    Prediction markets forecast around 2000 measles cases by end of 2025

    1 source@NewScientist
  4. 2025

    Actual U.S. measles cases reach 2288 by year end

    1 source@NewScientist
  5. 28 February 2026

    Ayatollah Ali Khamenei killed after Polymarket bet correctly predicted timing

    1 source@NewScientist
  6. January 2026 onward

    Nearly $9 million bet on future U.S. measles cases on Kalshi and Polymarket

    1 source@NewScientist

Potential Impact

  1. 01

    Commercial prediction markets like Kalshi and Polymarket face regulatory and ethical scrutiny following high-profile bets including one on Ayatollah Ali Khamenei's death

  2. 02

    Potential underinvestment in expert infectious disease forecasting could leave public health systems unprepared for future outbreaks on scale of covid-19

  3. 03

    Prediction market data on measles may supplement traditional epidemiological models using vaccination rates, genomic and climate data

Transparency Panel

Sources cross-referenced1
Confidence score75%
Synthesized bySubstrate AI
Word count229 words
PublishedMay 8, 2026, 5:21 PM
Bias signals removed2 across 2 outlets
Signal Breakdown
Speculative 1Loaded 1

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