Scopes

Independent research on prediction markets

How prediction markets price risk, measured.

Scopes studies how venue prices behave against independent fair value, and how Kalshi, Polymarket and the venues we track compare with each other and with how events resolve. Every price is timestamped and every result is published, including the ones where our own benchmark lost.

Research led by Jon Shields, CFA

US recession in 2026 (NBER)

Recession

Kalshi
3.5%
Polymarket
4.5%
Scopes Fair Value16.4%
as of 28h ago

A 13-point gap. Our fair value, measured independently, parts from the market here. That divergence is what we track.

Same event. Every venue. One independent fair value.

Everyone quotes the odds. We keep score.

The Scopes Fair Value is our independent estimate of the odds; a divergence is where it parts from the market price.

Collecting 562,688 snapshots since July 2026.

735 divergences resolved.

When market price and Scopes Fair Value disagreed:

Market right · 387Fair value right · 348
Still within chance (n = 735, p ≈ 0.16) What does this split mean? →See the record →
Methodology

The record holds 998 resolved flags, scored as 735 distinct events. Set aside from scoring: Sports 226, energy 20, stocks 17. How this number is computed →

conflicts · versioned · append-only · archived · verifiable · last ingest 28s ago

Every flagged divergence carries independent reads, model and human, recorded before the outcome and scored after. See the standing record →

Published before the answer was known.

Every Scopes study is registered with its tests and verdict templates before the outcomes it measures exist. The registration receipts are on each page.

Published
Does context make a model commit?

Given only two probabilities the models abstained; given a public NWS forecast they committed. The effect is on whether a model answers, not on its accuracy.

All research →

Scopes is administered by Jon Shields, CFA. The methods are published, the record is open, and every figure on this site can be recomputed by anyone who disagrees with it. About the administrator →

What you can do with it

One record of every venue price. Four things we do with it.

One is self-serve today; the rest are available by engagement. Start with Reference Reports.

The Scopes Calibration Index

How much better venue prices did than a naive base-rate guess, scored against outcomes by desk and horizon. The Scopes Fair Value is not scored.

SCI-ALL, H1, trailing

0.445

backfill · July 15 to October 31, 2026

  • Sports0.13990% [0.105, 0.173] · 1474 obs · 753 events
  • Energy0.61490% [0.513, 0.694] · 853 obs · 28 events
  • Stocks0.58290% [0.046, 0.615] · 227 obs · 15 events
  • Equal-weight mean of the desks that clear the publication gate: at least 30 observations and 10 distinct events. Desks differ in how predictable their contracts are, so compare each with itself over time, not with each other.

BACKFILL: mechanically calculated using methodology v1.0, but the rules were finalized after the outcomes were known. LIVE and BACKFILL →

All values and how to read them · Methodology

The Week in Review

A free weekly recap of the biggest market-vs-fair-value moves across every desk. Read the latest →

We keep score, and we publish the ones we get wrong.

Every figure on the record can be recomputed from the timestamped data behind it. That is the whole point.

Or put it to work:Cite itQuery or license the dataCommission a benchmark