The decision-level snapshot: approved Current Risk, its same-series 30-day Stress Baseline, the bounded 90-day Integrated Risk Outlook, transition status, and priority OSINT indicators.
The three headline values come from the proprietary integrated series. Supporting OSINT cards provide evidence and timing context; they are not competing headline scores. Higher headline risk values mean greater risk pressure.
Detailed component weights and intermediate model scores are retained in private validation and audit records. The public dashboard preserves the underlying analytical evidence and downloadable data while presenting one authoritative final risk series.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows how much negative or stress-related coverage each domain is receiving across OSINT narrative sources, including news media, government statements, press releases, and analytical reports. Colors compare current pressure with the country’s own recent pattern, not an absolute risk score. Green means coverage is near or below normal levels, while yellow and red indicate unusually elevated attention or negative narrative pressure that may signal emerging risk.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
Current risk across National Defense, Governance, Economy, Society, Psychological Strain, and Health using the approved 25/20/20/20/10/5 weighting architecture.
Higher domain values mean greater risk pressure. Read the leading domains as explanations for the integrated headline, while recognizing that policy floors, bounded transitions, and corroboration controls may create disclosed differences.
Structural reference conditions are combined with Talosai's continuously monitored online evidence. Values below show current risk pressure by domain; higher values indicate greater pressure.
Underlying dashboard data through: 2026-09-12. Weekly multi-domain score calculated: 2026-09-12.
Six source-linked country developments covering governance, society/public security, economy, defense, health, and stress/anxiety/PTSD/psychosocial context for the displayed evidence window.
These items explain what is currently observable. They inform domain interpretation but do not independently set the headline score. Use the displayed evidence date and coverage window when judging freshness.
Coverage, recency, completeness, and source support for the narrative OSINT evidence channel.
This is a confidence layer, not a risk score. Weak evidence lowers confidence in short-term narrative movement but does not erase slower structural risk.
These diagnostics help you judge whether a change is well-supported by real reporting volume or should be treated more cautiously.
| Metric | Value |
|---|---|
| As-of date (last observation) | 2026-09-12 |
| Report month | 2026-09 |
| Days in dataset | 3542 |
| Imputed blackout days (total) | 0 |
| Imputed blackout rate (last 90d) | 0.0% |
| Imputed blackout days (last 90d) | 0 |
| Evidence score (current) | 47.5 (Low) |
| Rolling 14d volume (current) | 2082 |
| External share (30d mean) | 75.2% |
| Tone gap (External − Domestic, 30d mean) | -1.34 |
This view evaluates whether the OSINT Narrative signal is supported by sufficient evidence, source coverage, and data continuity. It is a confidence layer, not a separate country-risk score. The brief description states:Checks whether the OSINT narrative signal is supported by sufficient recent coverage, source continuity, and evidence strength. Use it to judge whether current movements are well-supported or should be treated cautiously.The notes below explain how to use that information operationally.
Check whether evidence support is high, moderate, or thin before interpreting sharp risk movements. Strong volume and stable coverage increase confidence; low volume, gaps, or uneven source coverage mean recent moves should be confirmed elsewhere.
Risk intelligence is only useful if users know how much trust to place in the signal. This view prevents overreaction to thin-data spikes and helps identify when a movement is broad enough to support action.
If Governance risk pressure rises while evidence support is high and reporting volume is broad, the signal is more actionable. If the same rise occurs during low coverage or a data gap, it should be treated as a watch item until corroborated.
The volume and origin of attributable web reporting, separated into domestic and external sources and compared across monitored domains.
Use changes in source mix to identify local visibility, international amplification, or framing divergence. Volume measures attention and evidence support—not risk by itself.
Shows how OSINT narrative coverage is split between inside-country and outside-country sources. External reporting often makes up the majority of country coverage, but not always. The strongest signal is change in the split over time, which can reveal international amplification, local salience, perception risk, reporting constraints, or shifts in who is driving the narrative.
This chart shows total OSINT narrative reporting volume feeding the dashboard, split between sources inside the country and sources outside the country. It is a source-depth and coverage-mix view, not a standalone risk score.
In many countries, external reporting will be the larger share of available web-published coverage. That is expected, especially where international media, official statements, press releases, think-tank reporting, or outside analytical sources publish more consistently than domestic sources. However, that is not always the case, and the most important insight is usually the direction of change rather than which side is larger on a single day.
A rising external line can indicate that an issue is becoming more internationalized or externally amplified. A rising domestic line can indicate greater local visibility, internal escalation, or improving domestic source coverage. A sudden drop in either line can also signal weaker source visibility or a temporary data-coverage issue.
Changes in the domestic/external breakdown can reveal shifts in who is shaping the country narrative. Those shifts can point to reputational risk, diplomatic attention, investor concern, local escalation, domestic underreporting, or a disconnect between internal and external visibility.
This chart is also a confidence check. A major risk movement supported by rising volume from both domestic and external sources is generally more credible than a similar movement during thin or falling coverage.
This chart shows where OSINT narrative coverage is coming from for each of the six key indicators: Governance, Economy, Society, National Defense, Health, and Psychological Strain. Each line shows the share of that indicator’s reporting that is coming from outside the country.
The chart is a source-origin breakdown, not a risk score. A high outside-country share does not automatically mean high risk, and a lower outside-country share does not automatically mean low risk. It shows who is producing the coverage and how that source mix changes over time.
A sharp rise in external share for one indicator can mean outside attention is concentrating on that domain. A rise in domestic share can mean the same issue is becoming more locally visible or locally salient. Divergence across indicators can show whether the international narrative is focused on security, governance, economy, health, or social pressure rather than the country as a whole.
Indicator-level source-origin changes can reveal internationalization, external scrutiny, diplomatic or reputational pressure, domestic visibility, or a disconnect between local and outside narratives. This makes the chart useful for identifying which domains are becoming externally amplified and which remain primarily domestically driven.
Because the chart is broken out by key indicator, it can show that outside attention is rising in one domain even when the overall reporting mix looks stable.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Shows whether outside reporting is more negative or more positive than domestic reporting. A large gap can signal narrative disconnect, perception risk, or hidden stress.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
| Category | External share (30d) | Δ share vs prior 30d | Tone gap (30d) | Δ tone gap | Volume (30d, total) | Flag |
|---|---|---|---|---|---|---|
| Economy | 68.8% | +11.8pp | -0.43 | 0.41 | 187 | External framing more negative |
| Governance | 69.7% | +3.6pp | -1.78 | -0.60 | 1098 | External framing more negative |
| Health | 75.2% | +5.3pp | 0.04 | 1.32 | 462 | Externally amplified |
| National Defense | 79.4% | +4.8pp | -0.13 | 0.01 | 698 | Externally amplified |
| Psychological Strain | 58.0% | -20.3pp | 1.09 | 1.74 | 20 | External framing more positive |
| Society | 76.6% | +10.7pp | -1.22 | 0.22 | 867 | External framing more negative |
This table expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Shows how each category contributes to the narrative tone gap by combining external share, tone differences, changes over time, and reporting volume. Use it to see where external coverage dominates, how tone is shifting, and which areas are driving the overall gap.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
Current: 2026-08-30 to 2026-09-12 Baseline: 2026-07-05 to 2026-08-29
| Scope | Current sentiment | 8-week sentiment baseline | Sentiment change | Current 14-day volume | Baseline average 14-day volume | Volume change | Volume change % |
|---|---|---|---|---|---|---|---|
| Overall | -4.739 | -2.449 | -2.29 | 1839 | 886.2 | 952.8 | 107.5% |
| Governance | -4.727 | -2.13 | -2.597 | 636 | 275 | 361 | 131.3% |
| Economy | -1.596 | -0.059 | -1.536 | 104 | 89 | 15 | 16.9% |
| Society | -6.195 | -3.186 | -3.009 | 454 | 213.8 | 240.2 | 112.4% |
| National Defense | -5.671 | -4.021 | -1.65 | 395 | 115 | 280 | 243.5% |
| Health | -1.98 | -2.267 | 0.287 | 240 | 180.8 | 59.2 | 32.8% |
| Psychological Strain | -1.465 | -2.082 | 0.617 | 10 | 12.8 | -2.8 | -21.6% |
Country-relative narrative pressure, persistence, momentum, and attention shocks derived from attributable online content.
Use these charts to judge whether reporting pressure is a temporary spike or a sustained change relative to this country’s own history. They are live evidence signals, not the integrated headline series.
Shows how overall narrative risk has been evolving over time based on online content sources, including news coverage, government statements, press releases, and analytical reports. Use this section to understand whether risk is rising, easing, or stable before examining specific domains in more detail.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader Composite narrative trend alongside attention shocks so users can see whether pressure is a temporary spike or is beginning to affect the underlying risk trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader governance trend alongside attention shocks to reveal whether governance pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader economic trend alongside attention shocks to reveal whether economic pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader society trend alongside attention shocks to reveal whether social pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader national defense trend alongside attention shocks to reveal whether security pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader health trend alongside attention shocks to reveal whether health pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the broader psychological strain trend alongside attention shocks to reveal whether population-stress pressure is a temporary spike or is beginning to affect the underlying trend.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Main smoothed key indicator risk trend lines. Use it to see whether risk has been easing, rising, or drifting sideways over time.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows whether recent narrative risk signals indicate a worsening, easing, or improving situation by comparing short-term momentum (MA7) against the recent baseline (MA14).The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows the month-by-month average narrative risk pressure across the key domains. Composite is excluded so the chart focuses on the individual indicators and their relative movement over time.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows how often narrative risk indicators simultaneously fall below the Watch threshold (MA14) within the selected time window. Greater overlap indicates broader, more systemic pressure across domains.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
| Indicator | Mean risk (MA14) | MoM | YoY | 24M | EOM risk MA14 | MoM (EOM risk MA14) | EOM risk MA7 | Risk MA7–MA14 | Days in Watch/Stress risk |
|---|---|---|---|---|---|---|---|---|---|
| Governance | 54.7 | ↑ +13.6 | +20.8 | +15.5 | 56.9 | ↑ +4.7 | 59.8 | +2.8 | 12/0 |
| Economy | 21.9 | ↓ -12.0 | -0.1 | -16.4 | 26.5 | ↑ +5.2 | 32.7 | +6.2 | 0/0 |
| Society | 56.7 | ↑ +15.9 | +21.4 | +16.9 | 53.5 | ↓ -6.5 | 52.9 | -0.5 | 12/1 |
| National Defense | 68.6 | ↑ +26.1 | +29.4 | +32.8 | 73.2 | ↑ +17.6 | 71.4 | -1.8 | 12/10 |
| Health | 54.0 | ↑ +8.2 | +16.1 | +11.1 | 46.0 | ↓ -8.1 | 37.1 | -8.9 | 12/0 |
| Psychological Strain | 30.8 | ↓ -8.7 | -14.1 | -6.8 | 32.5 | ↑ +3.5 | 32.7 | +0.2 | 0/0 |
This table shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Side-by-side view of each indicator showing current levels, recent changes, and risk flags. Use it to quickly see where narrative pressure is highest, persistent, or stabilizing.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
| Series | 30d risk slope (pts/mo) | 90d risk slope (pts/mo) | 365d risk slope (pts/mo) | Risk MA7–MA14 | τ24 | q24 | Interpretation |
|---|---|---|---|---|---|---|---|
| Composite | +2.64 | +0.46 | +0.12 | +0.60 | -0.15 | 0.365 | Rolling risk increase |
| Governance | +28.81 | +2.75 | +0.66 | +2.84 | -0.17 | 0.365 | Acute risk escalation |
| Economy | -21.39 | -2.11 | +0.49 | +6.16 | -0.18 | 0.365 | Acute risk easing |
| Society | +22.79 | +2.31 | +0.40 | -0.52 | -0.22 | 0.365 | Acute risk escalation |
| National Defense | +43.43 | +7.56 | +0.38 | -1.81 | -0.12 | 0.446 | Acute risk escalation in stress |
| Health | +26.13 | +2.57 | +0.31 | -8.90 | -0.17 | 0.365 | Acute risk escalation |
| Psychological Strain | -12.86 | -4.35 | -0.38 | +0.20 | 0.19 | 0.365 | Acute risk easing |
This table shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows which indicators are easing or rising based on recent trend direction and momentum. Use it to quickly understand where conditions are getting better, worse, or staying the same.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
Correlation, co-movement, and lead-lag screening among narrative OSINT domains.
Relationships can identify reinforcement or spillover, but they do not prove causation. Treat them as monitoring prompts that require evidence and domain corroboration.
Monthly relationship screens showing which OSINT narrative risk domains reinforce one another and which tend to diverge.
This correlation view screens for measurable co-movement among OSINT Narrative indicators. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
| Pair | Correlation (r) | q-value | Correlation strength | Interpretation |
|---|---|---|---|---|
| Governance ↔ National Defense | 0.750 | 0.000 | Very strong | Very strong positive co-movement: Governance and National Defense tended to rise or ease together (r=0.75); association only, not causation. |
| Society ↔ National Defense | 0.720 | 0.001 | Very strong | Very strong positive co-movement: Society and National Defense tended to rise or ease together (r=0.72); association only, not causation. |
| Society ↔ Health | 0.700 | 0.001 | Very strong | Very strong positive co-movement: Society and Health tended to rise or ease together (r=0.70); association only, not causation. |
| Governance ↔ Society | 0.700 | 0.001 | Very strong | Very strong positive co-movement: Governance and Society tended to rise or ease together (r=0.70); association only, not causation. |
| Governance ↔ Health | 0.640 | 0.003 | Strong | Strong positive co-movement: Governance and Health tended to rise or ease together (r=0.64); association only, not causation. |
| National Defense ↔ Health | 0.600 | 0.006 | Strong | Strong positive co-movement: National Defense and Health tended to rise or ease together (r=0.60); association only, not causation. |
This correlation view screens for measurable co-movement among OSINT Narrative indicators. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows whether the narrative is becoming more negative, losing positive support, or both. Use it to understand what is driving changes in overall narrative conditions.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart shows how risk pressure is evolving over time using OSINT Narrative. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Breaks the monthly change in narrative risk pressure score into the indicator contributions that pushed it up or down.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
| Lead indicator | Target | Direction | Lag (days) | q-value | Signal strength | Interpretation |
|---|---|---|---|---|---|---|
| National Defense | Composite | National Defense → Composite | 1 | 0.000 | High | National Defense tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof. |
| Health | Composite | Health → Composite | 1 | 0.000 | High | Health tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof. |
| Governance | Composite | Governance → Composite | 4 | 0.000 | High | Governance tends to lead Composite by about 4 days in this screening window; use as timing evidence, not causal proof. |
| Psychological Strain | Composite | Psychological Strain → Composite | 9 | 0.000 | High | Psychological Strain tends to lead Composite by about 9 days in this screening window; use as timing evidence, not causal proof. |
| Economy | Composite | Economy → Composite | 12 | 0.000 | High | Economy tends to lead Composite by about 12 days in this screening window; use as timing evidence, not causal proof. |
| Society | Composite | Society → Composite | 1 | 0.000 | High | Society tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof. |
This table expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Screens for narrative risk indicators that historically tend to move before the Composite signal. The table uses Granger-style predictive lead-lag screening within the dashboard time-series model; q-value shows the multiple-testing-adjusted strength of the signal. Treat results as early-warning evidence, not proof of causation.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
| Relationship | Pattern | Lag (days) | q-value | Signal strength | Interpretation |
|---|---|---|---|---|---|
| Governance ↔ National Defense | Bidirectional / reinforcing | Governance→National Defense: 1; National Defense→Governance: 1 | 0.000 | High | Governance and National Defense both show timing support by about Governance→National Defense: 1; National Defense→Governance: 1 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Society ↔ National Defense | Bidirectional / reinforcing | Society→National Defense: 1; National Defense→Society: 1 | 0.000 | High | Society and National Defense both show timing support by about Society→National Defense: 1; National Defense→Society: 1 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| National Defense ↔ Health | Bidirectional / reinforcing | National Defense→Health: 1; Health→National Defense: 1 | 0.000 | High | National Defense and Health both show timing support by about National Defense→Health: 1; Health→National Defense: 1 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Economy ↔ National Defense | Bidirectional / reinforcing | Economy→National Defense: 1; National Defense→Economy: 1 | 0.000 | High | Economy and National Defense both show timing support by about Economy→National Defense: 1; National Defense→Economy: 1 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Economy ↔ Psychological Strain | Bidirectional / reinforcing | Economy→Psychological Strain: 9; Psychological Strain→Economy: 10 | 0.000 | High | Economy and Psychological Strain both show timing support by about Economy→Psychological Strain: 9; Psychological Strain→Economy: 10 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Governance ↔ Health | Bidirectional / reinforcing | Governance→Health: 4; Health→Governance: 4 | 0.000 | High | Governance and Health both show timing support by about Governance→Health: 4; Health→Governance: 4 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Governance ↔ Economy | Bidirectional / reinforcing | Governance→Economy: 8; Economy→Governance: 4 | 0.000 | High | Governance and Economy both show timing support by about Governance→Economy: 8; Economy→Governance: 4 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
| Governance ↔ Society | Bidirectional / reinforcing | Governance→Society: 1; Society→Governance: 1 | 0.000 | High | Governance and Society both show timing support by about Governance→Society: 1; Society→Governance: 1 days; treat as reinforcing/shared-shock behavior rather than a one-way lead. |
This table expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Screens for directional lead-lag relationships between narrative risk indicators. Bidirectional results are shown as reinforcing relationships rather than one-way effects. Use this as a spillover watchlist, not as proof that one indicator causes another.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
Relative public search interest across monitored concern topics and its movement over time.
Search interest measures public attention, not sentiment or country risk directly. Persistent movement is most useful when narrative, domain, or market evidence confirms it.
Search-driven public concern analysis for Disease/Illness, Anxiety/Stress, Unemployment, Crime/Safety, and Government/Governance, including forecasts, relationships, and cross-channel linkages.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Two-week moving average for the five-year native-scale weekly history of the five monitored public-concern topics plus the weighted composite. Each subject remains on its own 0–100 Google Trends scale, so peaks can still reach the top of the chart when that subject hits its local maximum.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart shows how risk pressure is evolving over time using Public Search. It helps distinguish a temporary move from a sustained shift in direction. The brief description states:Shows whether overall public-search concern is rising, steady, or easing by comparing short-term movement with the recent baseline.The notes below explain how to use that information operationally.
Start with the latest portion of the series, then compare it with the recent baseline and prior direction. A sustained move matters more than a single spike, especially when it is confirmed by evidence strength or related indicators.
Trend and momentum views help determine whether a country or domain is actively worsening, easing, or stabilizing. That distinction shapes whether users should escalate, maintain watch, or wait for confirmation.
If the short-term line rises above the baseline for several observations and related evidence remains strong, analysts may treat the move as building risk pressure rather than day-to-day noise.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Useful only as a drill-down when disease/illness is one of the topics currently moving most. Do not show all five as full standalone charts in the main stakeholder flow.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Useful only as a drill-down when anxiety/stress is one of the topics currently moving most. Do not show all five as full standalone charts in the main stakeholder flow.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Useful only as a drill-down when unemployment is one of the topics currently moving most. Do not show all five as full standalone charts in the main stakeholder flow.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Useful only as a drill-down when crime/safety is one of the topics currently moving most. Do not show all five as full standalone charts in the main stakeholder flow.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Useful only as a drill-down when government/governance is one of the topics currently moving most. Do not show all five as full standalone charts in the main stakeholder flow.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
Screened relationships among public-search concern topics, including strength and statistical controls where available.
Use co-movement to identify clusters of public concern. Association does not establish causation and should not be converted directly into a headline risk score.
Monthly relationship screens showing which public search topics reinforce one another and which tend to diverge.
| Pair | Correlation (r) | q-value | Correlation strength | Interpretation |
|---|---|---|---|---|
| Crime/Safety ↔ Government/Governance | 0.416 | 0.004 | Moderate | Moderate positive co-movement: Crime/Safety and Government/Governance tended to rise or ease together (r=0.42); association only, not causation. |
| Unemployment ↔ Government/Governance | 0.317 | 0.036 | Moderate | Moderate positive co-movement: Unemployment and Government/Governance tended to rise or ease together (r=0.32); association only, not causation. |
| Pair | Correlation (r) | q-value | Correlation strength | Interpretation |
|---|---|---|---|---|
| Crime/Safety ↔ Government/Governance | 0.416 | 0.004 | Moderate | Moderate positive co-movement: Crime/Safety and Government/Governance tended to rise or ease together (r=0.42); association only, not causation. |
| Unemployment ↔ Government/Governance | 0.317 | 0.036 | Moderate | Moderate positive co-movement: Unemployment and Government/Governance tended to rise or ease together (r=0.32); association only, not causation. |
This correlation view screens for measurable co-movement among public-search topics. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
The country currency or an explicit benchmark exchange-rate series, its recent direction, latest observation date, and market-pressure interpretation.
Currency is a required market-facing cross-check for every country. A weakening currency can confirm Economy or Governance pressure, while divergence can identify timing differences. It is not a standalone country-risk verdict.
Financial views showing whether currency behavior is reinforcing or diverging from the country’s narrative-risk signal.
Three standardized risk-pressure readings derived from USD/EUR.
Higher values mean greater currency pressure. Compare the latest signal with the monthly baseline and the 90-day range. A higher rate means the Malta currency (EUR) is weaker against the U.S. dollar.
Currency pressure can confirm or diverge from Economy and Governance evidence. Source: Malta_fin.csv; latest observation: 2026-09-12.
If the latest signal rises above its baseline while economic narratives worsen, treat the combined evidence as stronger than either channel alone.
The USD/EUR exchange rate through 2026-09-12, smoothed with a seven-day moving average.
Read the slope and persistence, not a single point. A higher rate means the Malta currency (EUR) is weaker against the U.S. dollar.
The market series is a confirmation and timing layer; it does not independently determine the integrated country-risk score. Source: Malta_fin.csv.
A sustained adverse move alongside rising Economy or Governance risk is more decision-relevant than a brief isolated currency fluctuation.
Comparison of narrative OSINT, Public Search, and currency/market signals to show confirmation, divergence, and possible timing differences.
Convergence across independent channels increases confidence. Divergence is analytically important and should be explained rather than averaged away.
Shows where narrative risk signals, public concern, and financial indicators move together or diverge, helping determine whether observed risks are broadly supported or isolated.
This correlation view screens for measurable co-movement among public-search topics and OSINT Narrative indicators. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
This chart uses Public Search and Forex to provide a market-facing check on the risk environment. It shows whether currency pressure is stable, rising, easing, or moving with another signal. The brief description states:Compares public-search concern pressure with currency pressure to test whether public attention and market stress are moving together or diverging.The notes below explain how to use that information operationally.
Compare the latest currency reading with its baseline and momentum. When currency pressure aligns with narrative or search pressure, the cross-source signal is stronger. When it diverges, the divergence itself may be analytically important.
Markets can react to policy, confidence, liquidity, and geopolitical stress before those themes fully appear in narrative data. Currency views therefore help validate or challenge the dashboard’s broader risk story.
If currency pressure rises while Governance and Economy narrative pressure also rise, the dashboard may be showing a broader confidence problem. If markets remain stable while narratives deteriorate, the risk may still be compartmentalized or delayed.
| Lead indicator | Target | Direction | Lag (days) | q-value | Signal strength | Interpretation |
|---|---|---|---|---|---|---|
| Public Search: Anxiety/Stress | OSINT Narrative: Psychological Strain | Anxiety/Stress → Psychological Strain | 28 | 0.098 | Moderate | Public search interest in Anxiety/Stress tends to lead the Psychological Strain OSINT Narrative indicator by about 28 days; use as an early-public-concern signal, not causal proof. |
| Public Search: Unemployment | OSINT Narrative: Economy | Unemployment → Economy | 42 | 0.098 | Moderate | Public search interest in Unemployment tends to lead the Economy OSINT Narrative indicator by about 42 days; use as an early-public-concern signal, not causal proof. |
This table screens for public-search topics that may move before OSINT Narrative key indicators. It focuses on public search leading narrative indicators, because that is the useful early-public-concern question.
ReadLead indicatoras the public-search topic that moved first andTargetas the OSINT Narrative domain that followed in the screening window.Lag (days)estimates the timing gap.q-valueis the multiple-testing-adjusted p-value; lower values indicate stronger screening support.
Public search can surface concern before the same issue becomes prominent in news, government statements, press releases, or reports. When a search topic leads an OSINT Narrative domain, it may deserve closer monitoring as an early warning line.
If Unemployment search interest leads the Economy narrative indicator by 14 days, analysts may watch employment-related searches as an early cue that economic pressure could soon appear more strongly in the OSINT Narrative channel.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search and OSINT Narrative. The brief description states:Compares overall public-search concern with the dashboard’s overall narrative risk signal to show whether public attention is reinforcing or diverging from the main picture.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This correlation view screens for measurable co-movement among public-search topics and currency pressure. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
| PASS_NO_VALID_RESULT | The completed statistical screen reported no qualifying result under its configured threshold. | 33 | 261 |
This correlation view screens for measurable co-movement among OSINT Narrative indicators and currency pressure. It asks whether two signals tended to move together or in opposite directions in the tested change window.
Correlation (r)ranges from -1 to +1. Positive values mean the two signals tended to rise or ease together; negative values mean they tended to move in opposite directions. A displayed pair must clear |r| ≥ 0.30 and q-value ≤ 0.10 when q-value is available.
Correlation strengthis based on the size of r: Moderate =.30–.49, Strong =.50–.69, Very strong =.70–.84, and System-level =.85 or higher.q-valueis the multiple-testing-adjusted p-value; lower q-values mean stronger statistical support after many pairs are tested.
System-wide synchronizationis flagged when three or more signals form a high positive co-movement cluster at r ≥ 0.85. In that situation, the dashboard summarizes the cluster and shows representative relationships instead of listing every redundant pair.
Correlation helps identify reinforcement, clustering, and possible spillover areas. It is a screening tool for prioritizing follow-up analysis, not proof that one signal causes another. Always compare correlation output with lead-lag results, evidence strength, source context, and real-world events.
If Governance, Society, and Health all show System-level positive co-movement, the dashboard treats that as a synchronized cluster. Instead of showing every combination among those indicators, it displays representative pairs and flags the broader pattern for operational monitoring.
| Relationship | Pattern | Lag (days) | q-value | Signal strength | Interpretation |
|---|---|---|---|---|---|
| Governance Risk → FOREX | Directional lead-lag | 11 | 0.015 | High | Governance Risk tends to lead FOREX by about 11 days in this screening window; use as timing evidence, not causal proof. |
| Economic Risk → FOREX | Directional lead-lag | 14 | 0.015 | High | Economic Risk tends to lead FOREX by about 14 days in this screening window; use as timing evidence, not causal proof. |
| National Defense Risk → FOREX | Directional lead-lag | 5 | 0.024 | High | National Defense Risk tends to lead FOREX by about 5 days in this screening window; use as timing evidence, not causal proof. |
| FOREX → Health Risk | Directional lead-lag | 1 | 0.019 | High | FOREX tends to lead Health Risk by about 1 days in this screening window; use as timing evidence, not causal proof. |
| FOREX → Psychological Strain Risk | Directional lead-lag | 1 | 0.015 | High | FOREX tends to lead Psychological Strain Risk by about 1 days in this screening window; use as timing evidence, not causal proof. |
This table expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Forex. The brief description states:Shows whether currency pressure or narrative risk indicators have historically tended to move first. Use as a timing aid, not proof of causation.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
Forecast charts for the underlying monitored signal channels and domain series, including uncertainty ranges. The approved integrated 90-day headline outlook remains in the Current Risk Overview and assessment.
Do not treat these underlying chart forecasts as replacements for the integrated headline Outlook. Some underlying series are stability-oriented, where falling values indicate weakening; read each chart’s local axis and notes before interpreting direction.
Forward-looking view of integrated country risk, showing the overall forecast path, uncertainty range, and domain-level Watch/Stress risk over the next 13 weeks (~90 days).
This chart translates recent signal behavior into a planning-oriented outlook using OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the recent integrated country-risk path and the forecast median with uncertainty range over the next 13 weeks (~90 days). Use it to assess likely direction and confidence in the overall outlook.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using Public Search and OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for Economy over the next 90 days using the dynamic OSINT + Public Search risk series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for National Defense over the next 90 days using the OSINT-based dynamic series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using Public Search and OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for Psychological Strain over the next 90 days using the dynamic OSINT + Public Search risk series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using Public Search and OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for Governance over the next 90 days using the dynamic OSINT + Public Search risk series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using Public Search and OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for Society over the next 90 days using the dynamic OSINT + Public Search risk series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart translates recent signal behavior into a planning-oriented outlook using Public Search and OSINT Narrative. It shows likely direction, uncertainty, or threshold risk rather than a guaranteed future path. The brief description states:Shows the forecasted path and uncertainty range for Health over the next 90 days using the dynamic OSINT + Public Search risk series. Use it to assess likely direction and forecast uncertainty.The notes below explain how to use that information operationally.
Start with the current value, then compare the central outlook with the uncertainty band or threshold probabilities. Wider bands or rising threshold probabilities mean the planning environment is less certain and may require closer monitoring.
Outlook views help users prepare before a threshold is crossed. They support monitoring cadence, contingency planning, and escalation discussions by converting current movement into a practical forward-looking range.
If the median outlook rises while the upper range also widens, planners may prepare for a higher-risk scenario even if the central case is not yet severe. If the range narrows and pressure eases, the signal may support continued monitoring without escalation.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Shows the probability that integrated overall risk enters Watch or Stress over the next 13 weeks (~90 days). Use it to understand threshold risk and timing.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
Shows forecasted paths and uncertainty ranges for each domain over the next 90 days, using the prepared dynamic risk series.
Shows how likely each domain is to move into Watch or Stress over the next 90 days, based on the same prepared dynamic risk series used in the domain forecast ranges.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Shows the probability that Economy enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: OSINT Narrative. The brief description states:Shows the probability that National Defense enters Watch or Stress over the next 90 days using the narrative-based dynamic forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Shows the probability that Psychological Strain enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Shows the probability that Governance enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Shows the probability that Society enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.
This chart expands on the headline description by showing how the displayed signal should be interpreted in the broader dashboard workflow. Data source: Public Search. The brief description states:Shows the probability that Health enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.The notes below explain how to use that information operationally.
Read the latest value or strongest relationship first, then check persistence, direction, and evidence support. Use the surrounding charts and tables to confirm whether the pattern is isolated or reinforced across related signals.
The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.
If the view highlights one domain as elevated while related signals remain calm, analysts may monitor it as a contained issue. If several related views confirm the same movement, the issue becomes more operationally relevant.