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Concept · information-theory

Information Aggregation

The process by which markets combine dispersed private knowledge into a single consensus price signal. The Hayekian core idea: a market price is a low-bandwidth summary of every trader's private information, weighted by how much capital they're willing to stake on that information.

Key insights

In their words

Roughly 3% of accounts drive most price discovery: their trades anticipate future prices, respond to news immediately, and improve calibration across a market's lifecycle.· Gomez-Cram, Guo, Jensen, Kung, "Prediction Market Accuracy: Crowd Wisdom Or Informed Minority?"
If the point of [prediction] markets is to get accurate information on the prices, then you definitely want to allow insiders to trade, even if that discourages other people from betting because that makes the prices more accurate. And that's the priority.· Robin Hanson (in Decrypt, cited by Nic Carter)
The social value of prediction markets derives from financially incentivizing insiders to divulge confidential information, but this collapses noise trader confidence in the market over time.· Nic Carter, *Prediction Markets Are Not Good Markets (Yet)*
Insiders sharpen the signal because no one holds the full answer; in concentrated-truth markets like earnings, insiders monetize sealed results rather than synthesize public fragments.· Dougie, "Discovery and Betrayal"
Achieving 8-bit resolution requires 256 separate markets.· functionSPACE, "Information Vectors"
Info finance is that, but correct by construction. Similar to the concept of correct-by-construction in software engineering, info finance is a discipline where you (i) start from a fact that you want to know, and then (ii) deliberately design a market to optimally elicit that information from market participants.· Vitalik Buterin, *From Prediction Markets to Info Finance*
Nielsen provided coordination rather than truth, and coordination is harder to displace than accuracy because coordination compounds· the more people use a system, the more costly it becomes to use something else." · Mehmet Avci, *The Nielsen Moment for Prediction Markets*

Where it matters

Information aggregation is the core thesis every PM platform sells · but the Gomez-Cram paper recasts the story: PMs work because of a sharp informed minority, not crowds. That changes platform design (do you cultivate sharps or retail? both, but for different reasons), surveillance (insider flow is constitutive, not deviant), and product framing (don't sell "wisdom of crowds" · sell "informed pricing under skin-in-the-game"). It also reshapes the manipulation conversation: real-money markets resist manipulation precisely because informed traders profit from correcting it. For Dekant's distribution-market thesis, the implication is that you want the curve-drawing primitive to reward the informed minority with a richer surface than a binary, so their information actually transmits at higher resolution.

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