The Aporia · Prediction markets flop on recent elections

Prediction markets flop on recent elections

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Hoffman, L. (2026, October 30). Prediction markets flop on recent elections. Semafor. https://www.semafor.com/article/10/30/2026/prediction-markets-flop-on-recent-elections

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Quick Summary

Prediction markets recently failed to accurately predict outcomes in Brazil, Israel, and Serbia, missing key electoral results despite giving strong probabilities for favored candidates. These failures have raised doubts about their reliability as risk management tools for investors. The article highlights specific instances where the prediction platforms Kalshi and Polymarket overestimated conservative candidates' chances of winning, leading to potential financial losses for those who relied on these predictions to make trades.

Written by AI on 2026-10-31, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Prediction markets failed to accurately predict outcomes in recent elections, leading to significant losses for traders who relied on them. Polymarket and Kalshi, two popular prediction platforms, both gave Brazilian conservative Flávio Bolsonaro a 4-in-5 chance of winning the election, but he lost to the progressive incumbent, costing investors in Brazil’s currency and stocks. Additionally, these markets overestimated the chances of Netanyahu’s challenger in Israel and incorrectly favored the incumbent Serbian strongman before his loss. The inaccuracies have raised concerns about the reliability of prediction markets as a tool for making investment decisions.

Written for “Prediction Markets Fail Elections” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.

Why this leaning score

The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.

Prediction markets blew three big elections this week, a bad look for platforms pitching themselves to investors as hedges against global risk.

left criticizes the reliability of prediction markets
Kalshi and Polymarket both gave Brazilian conservative Flávio Bolsonaro a 4-in-5 chance of winning; he lost to the progressive incumbent, costing anyone who traded Brazil’s currency and stocks.

left emphasizes the failure of prediction markets in predicting a conservative loss
The markets also overrated Netanyahu’s challenger in Israel, where the race is still too close to call — and where a series of suspicious bets elicited an investigation by Polymarket.

left criticizes prediction markets for overrating a political candidate
Kalshi gave the heavily favored incumbent strongman 75% odds as late as election day. He lost.

left emphasizes another failure of prediction markets in predicting an incumbent's loss

Reading Leans left (beta estimate) Confidence high

Leaning: leans left for article 117138 (high confidence, 4 verified quotes) · logged 2026-10-31

Compared with similar articles

This article reads leans left and hedges 0% of its claims. Each row says how that neighbour differs.

It’s easy to see through Trump’s Ukraine ploy | Kenneth Roth Different event

The Guardian

⚖️ Leans strongly left further left than this Hedges 7 of 49 claims Outlet record 66/100

“The articles discuss different topics: one focuses on Trump's political maneuvering regarding Ukraine and election outcomes in Brazil and Serbia, while the other discusses prediction markets failing to accurately predict recent elections.”

Markets brace for uncertainty after Lula win in Brazil Different event

Semafor

⚖️ Leans left Hedges 0 of 7 claims Outlet record 60/100

“While both articles discuss unexpected election results and their impact on financial markets, they do not describe the same specific incident. ARTICLE A focuses on the immediate market reaction to Lula's reelection in Brazil, while ARTICLE B discusses broader issues with prediction markets across multiple elections.”

How this article was measured signals, leaning charts, publisher record, byline, topics and claims

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sentences that state something as happening or true

Uncertain

0 of 7 hedged ("reportedly", "may", "according to")

Leaning

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60/100

Semafor's corrections and hedging, across everything collected from it. Not a measure of accuracy.

Outlets on this story

Economy/Business

Same framing elsewhere

articles that frame the event the way this one does

Analyzed 2026-10-31 · how these are computed

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Semafor · 1393 article(s) · 1 correction(s) detected

Running correction rate · 1 correction(s)

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Who wrote this

Liz Hoffman

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All 22 articles by Liz Hoffman →

Topics

Brazil Brazilian Israel Kalshi Polymarket

Subjects

Kalshi PERSON · 3× Polymarket ORG · 2× Brazil GPE · 1× Brazilian NORP · 1× Flávio Bolsonaro PERSON · 1× Israel GPE · 1× Netanyahu PERSON · 1× Serbia GPE · 1×

Narrative

Kalshi and Polymarket both gave Brazilian conservative Flávio Bolsonaro a 4-in-5 chance of winning; he lost to the progressive incumbent, costing anyone who traded Brazil’s currency and stocks.

framing: assertive · carried by 1 article(s) · first seen 2026-10-31

2026-10-31 · Semafor

Prediction markets flop on recent elections · assertive framing

Claims (7 extracted, 0 hedged)

Prediction markets blew three big elections this week, a bad look for platforms pitching themselves to investors as hedges against global risk. asserted

markets → blow → risk

Kalshi and Polymarket both gave Brazilian conservative Flávio Bolsonaro a 4-in-5 chance of winning; he lost to the progressive incumbent, costing anyone who traded Brazil’s currency and stocks. asserted

who → give → currency

The markets also overrated Netanyahu’s challenger in Israel, where the race is still too close to call — and where a series of suspicious bets elicited an investigation by Polymarket. asserted

series → overrate → Polymarket

In Serbia (emerging-market investors need good information, too!), Kalshi gave the heavily favored incumbent strongman 75% odds as late as election day. asserted

Kalshi → need → day

He lost. asserted

He → lose → ?

Kalshi has touted the accuracy of its markets to win over institutional investors. asserted

Kalshi → tout → investors

A hedge that doesn’t work is doubly bad: useless and expensive. asserted

that → work → ?