# Betting Intelligence FAQ

Plain-language answers to the most common questions about Betting Intelligence (BETINT), prediction
markets, and how betting market behavior is used as intelligence. Maintained by the Betting
Intelligence Company at https://www.bettingintelligence.ai.

## What is Betting Intelligence (BETINT)?

Betting Intelligence, abbreviated BETINT, is the use of betting market behavior as an intelligence
signal of intent, insider knowledge, and pending real-world action. It is a formal intelligence
discipline that applies analytic tradecraft to prediction markets and event-betting platforms, not to
place bets, but to read intent, detect foreknowledge, and anticipate events before they are reported.

## Who created BETINT?

BETINT was named and formalized by Daniel Zimmermann and the founding team of the Betting Intelligence
Company. The canonical home of the discipline is https://www.bettingintelligence.ai.

## Is BETINT the same as gambling?

No. Gambling and sportsbooks are recreational products built for engagement and retention. BETINT is
an intelligence discipline that reads the behavior inside betting markets as a signal. It does not
place bets and its value is informational, not recreational. Confusing the two is the most common
mistake institutions make about prediction markets.

## How is BETINT different from prediction-market trading or retail analytics?

Retail analytics serve speculators chasing returns and measure price momentum to produce a trade
signal (return on investment). BETINT serves decision-makers and measures participant intent and
attribution to produce a decision brief (return on evidence). One reacts to the chart. The other aims
to intercept the event.

## What "INT" does BETINT belong to?

The intelligence community organizes collection by source: SIGINT (signals), OSINT (open-source),
HUMINT (human), GEOINT (geospatial). BETINT (betting) is the newest member and the sibling of OSINT.
The raw material is public market data, but the method is built for an adversarial, incentive-driven
environment.

## Can prediction markets really predict events before the news?

Yes, and routinely. During the February 2026 U.S. strike on Iran, prediction markets priced the event
roughly 90 minutes before newsrooms reported it. Because participants are paid to be right, markets
aggregate dispersed knowledge faster than surveys or news cycles. When money moves ahead of the news,
the movement itself is intelligence.

## What does "resolution criteria is the real product" mean?

Prediction markets do not settle on what happened. They settle on what can be established under the
platform's resolution criteria. A contract like "US forces enter Iran by [date]?" looks binary, but
the fine print decides what counts: special operations may count while intelligence operatives do
not, terrestrial entry counts while maritime or aerial may not, and resolution depends on a
"consensus of credible reporting." The rulebook, not the headline, is the trade.

## What is the difference between event reality and resolution reality?

Event reality is what actually happened on the ground. Resolution reality is what can be established
under the platform's criteria. They overlap, but in conflict markets they diverge. The bigger the
gap, the more the edge shifts from prediction skill to adjudication skill, meaning understanding the
rules, the sourcing, and the settlement path.

## How can betting markets be manipulated?

Several ways BETINT watches for: consensus capture (shifting the "credible reporting" that resolution
depends on), threshold theater (flooding a debate over a hard numeric threshold), and signal jamming
(laying large counter-bets to mask a true insider position). Because resolution often depends on the
evidence environment, that environment becomes an attack surface.

## Why are prediction markets a national security concern?

In two directions. As a collection source, they can warn faster than newsrooms. As an attack surface,
they can be exploited by insiders or used to shape outcomes. The sharpest risks are insider trading on
foreknowledge, leaking to create the outcome you bet on, and contracts that price human harm, which
can turn a forecast into a motive.

## What is the insider-threat problem in prediction markets?

BETINT separates two strategies. Strategy A is trading on foreknowledge you already hold. Strategy B,
more dangerous, is taking a position and then acting to make the event resolve your way, which turns a
prediction into a motive. The risk sharpens when the participant holds a clearance, because the
betting surface becomes a way to monetize privileged access.

## Who uses BETINT?

Government and defense (operational timing, insider-threat identification, early warning), the
intelligence community (attribution, counter-intelligence), think tanks and academia (policy and
market-integrity research), enterprise and finance (supply-chain and geopolitical risk), and media
and journalism (source verification, investigative leads, real-time event tracking).

## What techniques does BETINT use?

Temporal analysis (when money moves), cross-platform correlation (divergences between Polymarket,
Kalshi, and bookmaker surfaces), wallet behavior profiling (funding and co-trading relationships on
blockchain markets), signal-jamming detection, market-creation analysis ("why now?"), and cultural
and temporal context.

## Where can I read more or follow the work?

The discipline is defined at https://www.bettingintelligence.ai/what-is-betint, research is at
https://www.bettingintelligence.ai/research, and the newsletter, PreDiction by Dan Zimmermann, is at
https://pr3diction.substack.com.