Concentration axis

    How Concentrated Is Prediction-Market Profit?

    One question, one answer per study. This page tracks whether profit is clustered among a small cohort of accounts — not what percent of individual users make money.

    Last verified: pending
    Concentration and user-level profitability are separate axes.

    What this page is NOT

    NOT a per-user profitability chart
    NOT a ranking of trader skill
    NOT financial advice
    NOT proof or disproof of “wisdom of crowds”

    Headline stat by study

    Rows stay pending until primary URLs and verbatim quotes are available.

    0 studies

    What each study measures — and what it does not

    Profitability claim router

    Which profitability question did you actually see?

    Profit concentration and per-user profitability answer different questions. Route the claim before treating it as evidence about ordinary traders.

    Related axes

    Trader loss methodology receiptsUnit, time-window, P&L, cost, and sample checks for loss-rate claims.Wallet evaluation checklistSelection-bias and open-position checks before trusting wallet screenshots.Analysis tools guideTool-fit context for screenshots, dashboards, and source trails.

    Why concentration is not the same as user-level profitability

    Concentration metrics describe the shape of the profit distribution: whether a small cohort of accounts captures a disproportionate share of realized gains. That is structurally different from asking what percentage of users or wallets are profitable. One trader can run many wallets, one desk can control many accounts, and one account can represent tooling or capital that ordinary users do not have.

    Skill-based concentration therefore says more about clustering, market-making, speed, and repeated participation than it says about the average trader's win rate. A market can have some profitable retail users and still have a fat-tailed distribution where the largest profits sit in a tiny top cohort. This page keeps those axes separate so concentration evidence does not get flattened into a claim about winners, losers, or the wisdom of crowds.

    What this means for retail traders

    • Treat concentration as a distribution-shape signal: a small cohort can capture outsized profit without answering how many ordinary users win or lose.
    • Separate wallet/account counts from human users; one trader can operate many wallets, and one desk can create many account-level traces.
    • Assume the top tail often has infrastructure advantages — speed, capital, market-making tooling, or primary-source workflows — rather than just better guesses.
    • Use concentration evidence as context for risk expectations, not as a trading recommendation or policy conclusion.

    FAQ

    Is this page saying most prediction-market users lose money?

    No. This page is about concentration: where profit is clustered. User-level profitability is a different question and belongs on a separate per-user axis.

    What does the LBS/Yale study measure here?

    The shipped row treats the study as an account-level skilled-trader concentration source, pending primary-source URL and verbatim quote verification.

    Does a concentrated profit distribution mean markets are rigged?

    No. Concentration can come from market-making, speed, capital, research, or repeated participation. This page does not infer misconduct.

    Why not combine this with the percentage-of-users-who-profit page?

    Because percentage profitable and profit concentration answer different questions. Combining them would flatten wallet-level, account-level, and user-level evidence.

    Are the 1,950 accounts named?

    No. The page does not identify accounts or speculate about who controls them.

    Can retail traders use this as advice?

    No. The practical section is literacy context only, not financial advice or a strategy recommendation.

    Understand the edge

    Can retail traders win?

    The retail-survivability question adjacent to concentration evidence.

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    Execution, slippage, and live-market mechanics that can shape edge quality.

    Is this real arbitrage?

    How to separate durable edge from false-arbitrage or friction-driven signals.

    Platform architecture map

    How exchanges, wrappers, routers, perps rails, and intelligence layers fit together.

    Polymarket troubleshooting hub

    Practical platform-mechanics context for user-facing problems.

    How Concentrated Is Prediction-Market Profit? | PredictionMarkets.US