Prediction markets are building distribution faster than they are building standards for how their odds should be presented.

A 70 per cent probability can look self-explanatory, but the number alone does not tell the audience the exact contract wording, when the price was captured, how much was traded, whether the move came from broad participation or a concentrated burst of buying, or who ultimately decides the outcome.

The distinction becomes more important when market odds move into the media since the public-facing product is no longer the market alone. It includes the interface displaying the probability, the editorial decision to feature it and the distribution channel carrying it to a wider audience. Each hand-off can increase its reach while removing some of the context needed to interpret it.

That tension surfaced recently after The New York Post reported on 3 September that The Athletic had stepped back from a broader partnership with Kalshi while remaining in discussions about advertising and other commercial opportunities. Staff had raised concerns about editorial independence, although the report’s source said those objections did not cause the decision.

This week’s edition captures the broader issue: distribution is expanding, editorial boundaries are being tested and questions about market integrity are following the probability into public view.

A Price Can Influence the Story About the Price 

A new paper by Hazem Ibrahim and Yasir Zaki gives this concern some useful scale. The researchers analysed 173.7 million signed Polymarket trades, 6,990 articles and 44,976 sharp price moves across 9,590 markets during 2024 and 2025.

The paper classifies a sharp move, or “dislocation”, as a price change of at least five percentage points driven mainly by trading in one direction. It then compared the news coverage following each move with coverage during a similar period in the same market when no such movement occurred.

Markets were about 33 per cent more likely to be cited after a dislocation. The timing also stood out, with seventy-four per cent of first citations appearing after the price had moved, while 58 per cent came more than a day later. Even after removing articles published on the same day as the move, the increase remained at 27 per cent.

These results do not prove that the price movement caused the coverage or that anyone manipulated the market. The same news event could have prompted both the trading activity and the reporting. What the study does show is that a sharp, visible price move is often followed by a greater chance of that market being quoted by journalists.

This creates the possibility of a feedback loop. A noticeable price movement gives journalists a reason to cover a market. That coverage brings the probability to a wider audience, which can attract more attention and trading activity. Future movements may then become even more likely to be treated as news.

Prominent Markets Are More Likely to Get Picked Up

As markets became more prominent, it took far more trading activity to move their prices by five percentage points. The median rose from around $5,200 in the least prominent markets to $56,900 in the most prominent, an elevenfold increase.

However, prominent markets were also more than twelve times as likely to be quoted in the news. The paper’s model found that a market’s existing prominence was a stronger predictor of media coverage than either the cost or size of the price movement.

This creates an important distinction. Obscure markets may be cheaper to move, but few journalists notice them. Prominent markets are more expensive to move, yet any change in their odds has a much better chance of reaching a wider audience. Liquidity makes the signal more expensive to create, while media exposure makes that signal more valuable.

The authors call this relationship “epistemic leverage.” Put simply, it compares the trading activity linked to a price movement with the likelihood that the resulting probability appears in news coverage.

The point is that liquidity alone does not tell us how influential a market can become. We should also ask: once a probability leaves the platform, how widely will it be repeated and how much authority will people give it?

The Missing Layer is Probability Provenance

Newsrooms already have conventions for polls. Responsible coverage names the pollster, field dates, sample and margin of error. Prediction odds also need their own compact disclosure standard. The paper recommends attaching the venue, exact contract wording, timestamp, recent volume and an indication of extreme flow. 

Prediction Frontier would go slightly further by including visible depth and the named resolution source. Together, those details could form a more solid provenance trail for the number.

The label should at least answer six fundamental questions:

1. Where is the market, and can the reader inspect it?

2. What exactly has to happen for “Yes” to resolve?

3. When was the quoted price captured?

4. What recent volume and available depth sit behind it?

5. How large was the latest move?

6. Was the flow concentrated, and who resolves the contract?

This is not a case for keeping prediction markets out of journalism. Their prices can aggregate information quickly and expose changing expectations before slower indicators catch up. The case is for treating the quotation as data with provenance, not as a free-floating fact.

The next phase of media distribution will be about whether those numbers remain credible at scale.