Planned. Forecast is the last layer of the Atlas family and the most demanding. It is designed but not built, and it is explicitly gated on having enough history to evaluate honestly.
What it is
Atlas Forecast is intended to answer what happens next between specific actors — a dyadic forecast of escalation. Not “risk in the Middle East is elevated,” but a probability attached to a named pair of actors and a defined escalation event over a defined horizon.Why you should care
Almost every geopolitical forecast is unfalsifiable, and that is a choice. Vendors describe risk as “elevated” or “heightened” precisely because those words cannot be scored. A probability attached to a defined event over a defined horizon can be scored, and a vendor that publishes one is making a claim they can be held to. The commitment we are making is the scorecard, not the accuracy. Atlas Forecast will ship with a public accuracy scorecard from day one — every forecast recorded at issue time, scored with a proper scoring rule when it resolves, with the running record public whether or not it flatters us. A forecasting product without a published track record is a marketing claim. The bitemporal foundation is already in place. Honest forecast evaluation requires knowing exactly what was knowable at forecast time. Our observations are vintaged point-in-time, so an as-of query cannot see the future. That property is what makes a credible backtest possible at all, and it is why this layer is designed on top of the others rather than beside them.What it is useful for
Once it exists and has a track record:- Early warning with a stated horizon and a stated confidence.
- Scenario weighting — probabilities to attach to branches in a planning exercise.
- Resource allocation across a watch list.
- Calibration against prediction markets and internal analyst judgment.
Design intent
- Dyadic and specific. Actor pair, event class, horizon, probability. No vague regional gauges.
- Proper scoring. Brier or log score, published, with a naive base-rate benchmark alongside — a forecast that cannot beat the base rate is worth knowing about.
- No look-ahead, structurally. Forecasts are generated from vintaged as-of data, so an evaluation cannot leak future information.
- Grounded in the layers below. GPR supplies deviation, Posture supplies condition, CNP supplies capability. Forecast is a function of those, not a separate black box.
The honest blocker
Influences and references
Political Instability Task Force — Goldstone et al. (2010)
The benchmark demonstration that political instability is forecastable at useful accuracy from a small, interpretable variable set — and the standard against which any new instability forecast should be measured.
ICEWS — Integrated Crisis Early Warning System
The DARPA-originated event-data early-warning program: coded political events used for forecasting. The clearest precedent for forecasting from an automated event stream, and a cautionary tale about coding quality propagating into forecasts.
The Good Judgment Project — Tetlock et al.
Established that forecasting skill is real, measurable with proper scoring rules, and that calibration must be demonstrated rather than assumed.
Uppsala Conflict Data Program / ViEWS
The ViEWS political violence early-warning system — a serious, publicly evaluated conflict forecasting effort, and the most direct methodological comparator for this layer.

