Longshots Losing 98% of Time Dominate Kalshi, Polymarket Trading

Trading data from Kalshi and Polymarket indicates that longshot wagers lose 98% of the time, even as bettors repeatedly gravitate toward them. The article questions the platforms’ portrayal as reliable forecasting tools, arguing that many customers use them more like casinos, favoring high-risk bets with low expected returns.

Analysis

The key read-through is a quality-of-volume problem, not proof that prediction markets have no forecasting value. If activity is concentrated in low-probability contracts, headline volume may overstate informed participation: thin order books and a small number of better-informed traders can dominate prices, weakening their use as decision inputs. That creates a two-sided operator risk. High turnover could support transaction revenue if fees are volume-linked, but persistent customer losses may raise churn, reputational and consumer-protection risks; verify fee structures, repeat-user retention and liquidity concentration before underwriting either effect.

Near term (days to weeks), this is a sentiment and diligence signal, not a standalone trade catalyst. Over 1–3 months, watch for scrutiny of marketing, disclosures or event-contract access, and whether platforms publish evidence that prices forecast outcomes better than simple benchmarks. Over 6–18 months, the competitive question is whether liquidity and market-making deepen enough to make prices more reliable—or whether entertainment-driven flow keeps the products closer to gambling than financial infrastructure. Sportsbooks and other wagering venues could face engagement competition, but the article does not establish customer substitution or a material earnings impact.

Contrarian angle: longshot demand can coexist with useful aggregate forecasts if informed capital can arbitrage mispricing and liquidity is adequate. The article's trading-pattern evidence alone does not establish market-wide predictive failure. No direct security is identified by the supplied data; avoid trading a broad fintech or derivatives proxy on this signal alone.

Key Decisions for Investors

• No immediate directional trade. Treat this as a watch item for prediction-market operators and adjacent wagering businesses; do not infer a listed-company earnings effect without verified public exposure.
• Before taking a view on operator economics, verify contract-level fee schedules, concentration of volume, customer retention and realized customer returns. Volume growth without durable participation could be a weak quality signal.
• Monitor regulatory actions and platform disclosures over the next 1–3 months. A restriction on event contracts or marketing would challenge the growth narrative; independently demonstrated forecast accuracy and deeper liquidity would weaken the bearish interpretation.
• Falsification check: if trading data shows broad participation, stable liquidity across contract types, and forecasts that outperform simple reference rates, the claim that longshot-heavy flow undermines informational value is materially less compelling.