A fresh look at the history of betting on politics is reviving questions about whether markets can forecast elections better than polls and pundits. In a recent discussion highlighted by NPR’s Planet Money and Throughline, historians and journalists revisited the rise, fall, and periodic return of prediction markets in the United States. The conversation arrives as policymakers, platforms, and voters weigh how price signals and wagers shape public expectations.
The core story is straightforward: election betting once flourished openly, then faded mid-century, only to reappear in academic projects and on modern online platforms. Today’s debate centers on what these markets reveal, who they benefit, and where the lines should be drawn.
From Side Bets to Signals
Election wagering has deep roots in American political life. Before scientific polling took hold, markets served as a public barometer of sentiment. That culture was far from discreet.
“Election betting was common until the 1940s, then mysteriously faded away.”
Public betting thrived alongside looser rules around gambling and looser norms in party politics. The practice was wrapped in performance as well as price. As one account put it:
“There was an entire political era when party bosses were expected to conspicuously gamble on their candidates (even if they secretly hedged).”
By the mid-20th century, the culture shifted. The growth of professional polling, tighter enforcement of gambling laws, and new media habits sidelined open betting. Pollsters, rather than bookmakers, shaped the narrative of “who’s up and who’s down.”
Academic Experiments and the 74 Percent Claim
In the 1980s, economists revisited markets as tools for prediction. They tested small, real-money exchanges where participants bought and sold contracts tied to future events. One finding from those trials stands out:
“A few economists designed an election market that beat out election polling 74 percent of the time.”
Supporters argue that prices reflect dispersed information faster than surveys can. They say incentives push traders to seek new data, correct errors, and discount empty chatter. Skeptics counter that thin trading, herding, or manipulation can distort prices, especially in small or polarized markets. They also point out that “beating polls” depends on definitions, sampling, and timeframes.
Ethical Lines and Security Concerns
The allure of forecasting does not stop at elections. Past efforts have examined markets related to security events, a move that drew sharp criticism. As summarized in the discussion:
“Early markets for betting on terrorism and military uses of prediction markets”
Critics warn that wagering on violent acts crosses an ethical line and could create perverse incentives. Proponents respond that carefully designed markets can help public agencies weigh risks and probabilities. The clash reflects a broader concern: how to separate information value from moral hazard.
Modern Platforms, Old Questions
Online platforms have revived interest in market-based forecasting, offering contracts on elections, policy decisions, and cultural events. Regulators have pushed back at times, citing consumer protection, anti-gambling rules, and the risk of political manipulation. The legal status of election contracts has been fluid, with agencies scrutinizing whether such markets function as information tools or as gambling.
- Supporters say markets aggregate information and update in real time.
- Opponents cite legality, ethics, and the risk of distorting civic life.
- Researchers call for careful design, clear limits, and transparency.
The trade-offs are familiar: price discovery versus harm, signal versus noise, and innovation versus rules. Even those open to the concept caution that market quality hinges on incentives, liquidity, and guardrails.
What Forecasts Can and Cannot Do
Markets can summarize expectations, not certainties. They respond to headlines, fundraising, turnout clues, and late-breaking events. Polls, by contrast, measure stated preferences at a point in time. Many analysts now compare both, along with fundamentals like the economy and incumbency, to triangulate likely outcomes.
That blended approach reflects lessons from the past century. Markets may shine when information is widespread and incentives align. They falter when participation is thin or when rumor outruns facts. Polls can miss late shifts or turnout quirks, but they reveal attitude trends and subgroup splits that prices alone cannot show.
The renewed attention to prediction markets suggests a steady appetite for sharper forecasts. The historical record shows cycles of enthusiasm and retreat, shaped by law, culture, and technology. As regulators review election contracts and platforms refine their rules, key questions remain: What should be tradable, who should participate, and how should the public weigh prices alongside polls? The next election season will test whether markets add clarity—or only another number to debate.
