# Prediction and Allocation

By [Pegged: The Lifecycle of a Radical Idea](https://paragraph.com/@pegged) · 2026-06-23

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Prediction markets are often presented as mechanisms for discovering truth.

The claim is plausible. A sufficiently liquid market may aggregate dispersed information more effectively than many experts or institutions. Under certain conditions, prices can reveal something about the probability of future events.

Whether this claim is true is less interesting than the reaction it provokes.

The promise of prediction markets rests upon a familiar aspiration: the hope that social questions can be resolved through superior knowledge. If only enough information could be collected, aggregated, and processed, decisions would become less arbitrary and outcomes more rational.

The assumption is rarely stated explicitly. It nevertheless underlies much contemporary thinking. We are encouraged to believe that better forecasts produce better societies.

The difficulty is that prediction and allocation belong to different categories.

Prediction concerns what is likely to happen.

Allocation concerns who receives what.

A society may predict accurately and still distribute poorly. It may distribute effectively while remaining largely ignorant of the future. The two questions intersect, but they are not identical.

This distinction becomes difficult to perceive because modern institutions increasingly seek legitimacy through claims of superior knowledge. Governments justify interventions through expertise. Markets justify outcomes through price discovery. Algorithms justify recommendations through data. In each case, authority presents itself as the consequence of knowing.

Prediction markets extend this tendency rather than escaping it.

Their central question remains: who is right?

The answer may emerge through prices rather than committees, but the underlying logic remains epistemic. The objective is still to identify superior judgment.

Pegged emerged from a different question.

Not: who is right?

Not: who knows best?

Not: who deserves to decide?

But rather:

Why must allocation depend upon judgment at all?

The question does not deny the value of knowledge. Engineers should understand bridges. Physicians should understand disease. Forecasts remain useful.

The question concerns a narrower domain: distributive allocation.

Modern societies generally assume that distribution must be justified by expertise, merit, authority, wealth, performance, prediction, or some combination thereof. The possibility that allocation might occur without any appeal to judgment appears irrational.

Yet lotteries have existed for millennia.

Their persistence suggests that human beings occasionally recognize a simple fact: when no principle of entitlement can be agreed upon, randomness may be less objectionable than arbitrary authority disguised as reason.

Prediction markets seek better explanations.

Pegged explores what happens when explanation ceases to be a requirement.

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*Originally published on [Pegged: The Lifecycle of a Radical Idea](https://paragraph.com/@pegged/prediction-and-allocation)*