generator: dashboard_creator.py
14 September 2026
Source dates — edition 2026-09-13OSINT observed through 2026-09-12 (overall and all six domains); Public Search observed through 2026-09-06; Currency observed through 2026-09-12; News window 2026-08-30 to 2026-09-12. Charts display observed data only; no imputed tail is shown.
🧭 SECTION CONTEXT — Current Risk Overview
What this section contains

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.

How to interpret it

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.

Executive Risk Summary

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.

Current Risk Level

Latest proprietary multi-source country-risk score on a 0–100 scale. Higher values indicate greater current risk pressure.
25.3↑
STABLE
Latest integrated risk reading
Stable ≤40 • Alert 40–60 • Critical ≥60
Latest reading25.3/100
Stress baseline24.1/100
Current deviation
+1.2 points

Stress Baseline

The 30-day moving average of the same final proprietary risk series used by Current Risk Level. It provides the recent norm for judging whether current risk is rising or easing.
24.1→
CALM
30-day average of integrated risk scores
Calm ≤40 • Pressured 40–60 • Strained ≥60
Baseline method30-day average of final risk scores
Current Risk Level25.3/100

Integrated Risk Outlook

Bounded 90-day projection from the same final risk series, requiring cross-domain confirmation for band changes.
27.1
FAVORABLE
Projected risk level over the next 90 days
Favorable ≤40 • Guarded 40–60 • Adverse ≥60
Current Risk25.3/100
30-day baseline24.1/100

Priority Risk Domains

Ranks the domains requiring the most attention now. Higher values mean higher current risk pressure in that domain.
Economy34.3
Governance28.8
Psychological Strain27.6
Highest current risk-priority domains
OSINT Narrative Pressure vs Country Baseline
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.
ANALYSIS NOTESOSINT Narrative Pressure vs Country Baseline
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

OSINT Narrative Signal Strength & Evidence Support
Shows how strong current narrative risk signals are across online content sources, including news coverage, government statements, press releases, and analytical reports, and how well those signals are supported by available data. This helps distinguish between high-confidence signals driven by sustained reporting and low-confidence signals that may reflect limited or uneven coverage.

Six-Domain Current Risk

🧭 SECTION CONTEXT — Six-Domain Current Risk
What this section contains

Current risk across National Defense, Governance, Economy, Society, Psychological Strain, and Health using the approved 25/20/20/20/10/5 weighting architecture.

How to interpret it

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.

Governance28.8
Economy34.3
Society26.0
National Defense13.8
Health24.5
Psychological Strain27.6
🧭 SECTION CONTEXT — Recent Developments
What this section contains

Six source-linked country developments covering governance, society/public security, economy, defense, health, and stress/anxiety/PTSD/psychosocial context for the displayed evidence window.

How to interpret it

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.

Recent Developments
Coverage window: 2026-08-30 to 2026-09-12
Source-referenced current-events context.
Government and Governance
The acquittal of Yorgen Fenech in the Daphne Caruana Galizia murder trial became a major institutional accountability issue. ICIJ reported on September 2 that the jury cleared him of both charges by an eight-to-one majority and that prosecutors were expected to appeal. This was an acquittal, not a finding that allegations against him had been established. Parliament listed a general discussion without a vote on the verdict for its September 4 sitting. [S1][S2]
Impact: Context onlyTrend: Not independently scored
Society, Crime, Protests and Other Social Issues
The September 2 verdict also prompted public protest: ICIJ reported that opposition leader Alex Borg organized a demonstration outside Parliament that evening. Press-freedom advocates and the journalist’s family criticized the lack of accountability for commissioning her assassination; those criticisms are attributed reactions, not a reversal of the jury’s finding. The underlying killing occurred in 2017, while the verdict and reaction were new developments in this window. [S1]
Impact: Context onlyTrend: Not independently scored
Economy
NSO’s September 11 Labour Force Survey release estimated 339,935 employed people in the second quarter of 2026, 3.4% more than a year earlier, and an unemployment rate of 3.3%. These are newly released second-quarter sample estimates, not September employment observations. The statistics indicate employment growth in that reference period without establishing current changes in inflation or foreign exchange. [S3]
Impact: Context onlyTrend: Not independently scored
National Security, Civil Defense, Defense and Military Affairs
No qualifying substantive defense or civil-protection development was identified in the sources reviewed for this window. A notice concerning September live-firing practice was published on August 28 and was excluded; ceremonial military participation was not used to substitute for significant security reporting.
Impact: Context onlyTrend: Not independently scored
Sources:
Health
On September 4 the government announced that eligible patients could obtain four additional formulary products through private doctors specializing in family medicine without referral to another specialist. The products cover reflux, osteoporosis, nutritional support and swallowing difficulties, subject to public-service entitlement and clinical protocols. The announcement also followed September 1 arrangements widening private specialists’ access to state blood tests and ultrasound referrals through myHealth. These are service-access changes, not evidence of a new outbreak. [S4]
Impact: Context onlyTrend: Not independently scored
Stress, Anxiety, PTSD and Psychosocial Issues
On September 10 Victim Support Malta highlighted trauma, anxiety and the psychological pressures associated with study in a suicide-prevention video reported by MaltaToday. A presenter re-enacted a survivor’s experience rather than recounting his own case. The organization connected renewed anxiety and intrusive thoughts with previously unrecognized learning difficulties and highlighted its SPOT therapeutic support programme. This is a current psychosocial-awareness intervention and individual account, not a national prevalence survey. [S5]
Impact: Context onlyTrend: Not independently scored
Contextual intelligence only.
🧭 SECTION CONTEXT — Evidence & Data Quality
What this section contains

Coverage, recency, completeness, and source support for the narrative OSINT evidence channel.

How to interpret it

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.

Evidence & Data Quality

These diagnostics help you judge whether a change is well-supported by real reporting volume or should be treated more cautiously.

OSINT Narrative Signal Quality Check
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.
Quick reference
Scroll to compare
MetricValue
As-of date (last observation)2026-09-12
Report month2026-09
Days in dataset3542
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
ANALYSIS NOTESOSINT Narrative Signal Quality Check
What this table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Narrative Source & Framing
What this section contains

The volume and origin of attributable web reporting, separated into domestic and external sources and compared across monitored domains.

How to interpret it

Use changes in source mix to identify local visibility, international amplification, or framing divergence. Volume measures attention and evidence support—not risk by itself.

OSINT Narrative Source & Framing

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.

Total OSINT Reporting Volume: Inside vs Outside the Country
Shows total OSINT narrative reporting volume from inside the country versus outside it. External reporting often makes up the majority of country coverage, but that is not always the case. The main value is tracking changes in the domestic/external breakdown, because shifts can reveal international amplification, rising local salience, perception risk, reporting constraints, or changes in who is driving the narrative.
ANALYSIS NOTESTotal OSINT Reporting Volume: Inside vs Outside the Country
What this chart shows

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.

How to read it
  • Total volume shows how much evidence is supporting the recent narrative signal.
  • Inside-country volume shows local visibility and domestic reporting activity.
  • Outside-country volume shows external attention and international reporting activity.
  • Changes in the split are often more important than the level alone. Watch for sustained shifts in who is producing the coverage.

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.

Why it matters

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.

Example
Example: If total reporting volume rises and the external line grows faster than the domestic line during a security incident, the issue may be shifting from a local event into a broader international risk story. If domestic reporting rises first while external coverage stays flat, the dashboard may be detecting a locally visible issue before it attracts outside attention.
Where Coverage Is Coming From (by Key Indicator)
Shows where OSINT narrative coverage is coming from across the six key indicators. Each line shows the share of that indicator’s coverage coming from outside the country. External coverage is often the majority, but the key insight is change over time: rising external share can signal internationalization or outside amplification, while rising domestic share can signal a more locally driven issue or stronger domestic visibility.
ANALYSIS NOTESWhere Coverage Is Coming From (by Key Indicator)
What this chart shows

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.

How to read it
  • Higher values mean a larger share of that indicator’s coverage is coming from outside the country.
  • Lower values mean domestic sources account for more of that indicator’s coverage mix.
  • Different lines allow users to compare the source mix for Governance, Economy, Society, National Defense, Health, and Psychological Strain.
  • Movement over time is the key signal. Sustained increases or decreases are usually more meaningful than a single-day change.

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.

Why it matters

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.

Example
Example: If National Defense external share rises sharply while Governance and Economy remain stable, outside attention may be concentrating on security-related events rather than broad country risk. If Society external share falls while domestic reporting volume rises, social pressure may be becoming more locally visible even if international coverage is not increasing.
Narrative Sentiment Gap (Domestic vs External)
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.
ANALYSIS NOTESNarrative Sentiment Gap (Domestic vs External)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

What’s Driving the Narrative Tone Gap? (30-Day Breakdown by Domain)
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.
Quick reference
Scroll to compare
CategoryExternal share (30d)Δ share vs prior 30dTone gap (30d)Δ tone gapVolume (30d, total)Flag
Economy68.8%+11.8pp-0.430.41187External framing more negative
Governance69.7%+3.6pp-1.78-0.601098External framing more negative
Health75.2%+5.3pp0.041.32462Externally amplified
National Defense79.4%+4.8pp-0.130.01698Externally amplified
Psychological Strain58.0%-20.3pp1.091.7420External framing more positive
Society76.6%+10.7pp-1.220.22867External framing more negative
ANALYSIS NOTESWhat’s Driving the Narrative Tone Gap? (30-Day Breakdown by Domain)
What this table shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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 Two Weeks vs Eight-Week Baseline
Compares the latest 14 genuinely observed days with the immediately preceding 56-day baseline. Baseline volume is normalized to an average 14-day total; sentiment is weighted by reporting volume across all 56 baseline days.

Current: 2026-08-30 to 2026-09-12   Baseline: 2026-07-05 to 2026-08-29

ScopeCurrent sentiment8-week sentiment baselineSentiment changeCurrent 14-day volumeBaseline average 14-day volumeVolume changeVolume change %
Overall-4.739-2.449-2.291839886.2952.8107.5%
Governance-4.727-2.13-2.597636275361131.3%
Economy-1.596-0.059-1.536104891516.9%
Society-6.195-3.186-3.009454213.8240.2112.4%
National Defense-5.671-4.021-1.65395115280243.5%
Health-1.98-2.2670.287240180.859.232.8%
Psychological Strain-1.465-2.0820.6171012.8-2.8-21.6%
🧭 SECTION CONTEXT — Narrative Risk Trends
What this section contains

Country-relative narrative pressure, persistence, momentum, and attention shocks derived from attributable online content.

How to interpret it

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.

OSINT Narrative Risk Trends

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.

Narrative Risk Pressure: Spike or Build? (Composite View)
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.
ANALYSIS NOTESNarrative Risk Pressure: Spike or Build? (Composite View)
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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-specific recent stress spikes6 additional charts
Is Governance-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs Governance-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Is Economy-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs Economy-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Is Society-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs Society-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Is National Defense-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs National Defense-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Is Health-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs Health-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Is Psychological Strain-related Risk Pressure Spiking or Building?
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.
ANALYSIS NOTESIs Psychological Strain-related Risk Pressure Spiking or Building?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Overall Narrative Risk Pressure: Short-Term vs Baseline
Shows whether recent narrative risk signals indicate a worsening, easing, or improving situation by comparing short-term momentum (MA7) against the recent baseline (MA14).
ANALYSIS NOTESOverall Narrative Risk Pressure: Short-Term vs Baseline
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Monthly Narrative Risk Pressure by Indicator
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.
ANALYSIS NOTESMonthly Narrative Risk Pressure by Indicator
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Overlap of Narrative Pressure (Watch-Level Co-Occurrence)
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.
ANALYSIS NOTESOverlap of Narrative Pressure (Watch-Level Co-Occurrence)
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Where Narrative Pressure Stands Today (by Domain)
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.
Quick reference
Scroll to compare
IndicatorMean risk (MA14)MoMYoY24MEOM risk MA14MoM (EOM risk MA14)EOM risk MA7Risk MA7–MA14Days in Watch/Stress risk
Governance54.7↑ +13.6+20.8+15.556.9↑ +4.759.8+2.812/0
Economy21.9↓ -12.0-0.1-16.426.5↑ +5.232.7+6.20/0
Society56.7↑ +15.9+21.4+16.953.5↓ -6.552.9-0.512/1
National Defense68.6↑ +26.1+29.4+32.873.2↑ +17.671.4-1.812/10
Health54.0↑ +8.2+16.1+11.146.0↓ -8.137.1-8.912/0
Psychological Strain30.8↓ -8.7-14.1-6.832.5↑ +3.532.7+0.20/0
ANALYSIS NOTESWhere Narrative Pressure Stands Today (by Domain)
What this table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Narrative Risk Relationships
What this section contains

Correlation, co-movement, and lead-lag screening among narrative OSINT domains.

How to interpret it

Relationships can identify reinforcement or spillover, but they do not prove causation. Treat them as monitoring prompts that require evidence and domain corroboration.

OSINT Narrative Risk Correlations

Monthly relationship screens showing which OSINT narrative risk domains reinforce one another and which tend to diverge.

Which Narrative Risk Indicators Tend to Move Together?
Shows measurable co-movement among OSINT Narrative indicators. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
ANALYSIS NOTESWhich Narrative Risk Indicators Tend to Move Together?
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Co-Movement Between OSINT Narrative Indicators
Shows measurable co-movement among OSINT Narrative indicators. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
Governance ↔ National Defense
Move together
Correlation0.750
q-value0.000
StrengthVery 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
Move together
Correlation0.720
q-value0.001
StrengthVery 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
Move together
Correlation0.700
q-value0.001
StrengthVery strong
Very strong positive co-movement: Society and Health tended to rise or ease together (r=0.70); association only, not causation.
Governance ↔ Society
Move together
Correlation0.700
q-value0.001
StrengthVery strong
Very strong positive co-movement: Governance and Society tended to rise or ease together (r=0.70); association only, not causation.
Governance ↔ Health
Move together
Correlation0.640
q-value0.003
StrengthStrong
Strong positive co-movement: Governance and Health tended to rise or ease together (r=0.64); association only, not causation.
National Defense ↔ Health
Move together
Correlation0.600
q-value0.006
StrengthStrong
Strong positive co-movement: National Defense and Health tended to rise or ease together (r=0.60); association only, not causation.
View screened correlation tableSCREENED
Quick reference
Scroll to compare
PairCorrelation (r)q-valueCorrelation strengthInterpretation
Governance ↔ National Defense0.7500.000Very strongVery strong positive co-movement: Governance and National Defense tended to rise or ease together (r=0.75); association only, not causation.
Society ↔ National Defense0.7200.001Very strongVery strong positive co-movement: Society and National Defense tended to rise or ease together (r=0.72); association only, not causation.
Society ↔ Health0.7000.001Very strongVery strong positive co-movement: Society and Health tended to rise or ease together (r=0.70); association only, not causation.
Governance ↔ Society0.7000.001Very strongVery strong positive co-movement: Governance and Society tended to rise or ease together (r=0.70); association only, not causation.
Governance ↔ Health0.6400.003StrongStrong positive co-movement: Governance and Health tended to rise or ease together (r=0.64); association only, not causation.
National Defense ↔ Health0.6000.006StrongStrong positive co-movement: National Defense and Health tended to rise or ease together (r=0.60); association only, not causation.
ANALYSIS NOTESCo-Movement Between OSINT Narrative Indicators
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

What’s Driving Narrative Risk Right Now: Pressure vs Support
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.
ANALYSIS NOTESWhat’s Driving Narrative Risk Right Now: Pressure vs Support
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

What Drove Narrative Risk Pressure This Month?
Breaks the monthly change in narrative risk pressure score into the indicator contributions that pushed it up or down.
ANALYSIS NOTESWhat Drove Narrative Risk Pressure This Month?
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Narrative Indicators That May Lead the Composite
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.
Lead indicatorTargetDirectionLag (days)q-valueSignal strengthInterpretation
National DefenseCompositeNational Defense → Composite10.000HighNational Defense tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof.
HealthCompositeHealth → Composite10.000HighHealth tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof.
GovernanceCompositeGovernance → Composite40.000HighGovernance tends to lead Composite by about 4 days in this screening window; use as timing evidence, not causal proof.
Psychological StrainCompositePsychological Strain → Composite90.000HighPsychological Strain tends to lead Composite by about 9 days in this screening window; use as timing evidence, not causal proof.
EconomyCompositeEconomy → Composite120.000HighEconomy tends to lead Composite by about 12 days in this screening window; use as timing evidence, not causal proof.
SocietyCompositeSociety → Composite10.000HighSociety tends to lead Composite by about 1 days in this screening window; use as timing evidence, not causal proof.
ANALYSIS NOTESNarrative Indicators That May Lead the Composite
What this table shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Potential Narrative Spillovers Between Indicators
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.
RelationshipPatternLag (days)q-valueSignal strengthInterpretation
Governance ↔ National DefenseBidirectional / reinforcingGovernance→National Defense: 1; National Defense→Governance: 10.000HighGovernance 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 DefenseBidirectional / reinforcingSociety→National Defense: 1; National Defense→Society: 10.000HighSociety 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 ↔ HealthBidirectional / reinforcingNational Defense→Health: 1; Health→National Defense: 10.000HighNational 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 DefenseBidirectional / reinforcingEconomy→National Defense: 1; National Defense→Economy: 10.000HighEconomy 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 StrainBidirectional / reinforcingEconomy→Psychological Strain: 9; Psychological Strain→Economy: 100.000HighEconomy 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 ↔ HealthBidirectional / reinforcingGovernance→Health: 4; Health→Governance: 40.000HighGovernance 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 ↔ EconomyBidirectional / reinforcingGovernance→Economy: 8; Economy→Governance: 40.000HighGovernance 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 ↔ SocietyBidirectional / reinforcingGovernance→Society: 1; Society→Governance: 10.000HighGovernance 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.
ANALYSIS NOTESPotential Narrative Spillovers Between Indicators
What this table shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Public Search Dynamics
What this section contains

Relative public search interest across monitored concern topics and its movement over time.

How to interpret it

Search interest measures public attention, not sentiment or country risk directly. Persistent movement is most useful when narrative, domain, or market evidence confirms it.

Public Concern & Search Dynamics

Search-driven public concern analysis for Disease/Illness, Anxiety/Stress, Unemployment, Crime/Safety, and Government/Governance, including forecasts, relationships, and cross-channel linkages.

Public Concern Over Time
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.
ANALYSIS NOTESPublic Concern Over Time
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Public Concern Momentum6 additional charts
Overall Public Concern Momentum
Shows whether overall public-search concern is rising, steady, or easing by comparing short-term movement with the recent baseline.
ANALYSIS NOTESOverall Public Concern Momentum
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Disease/Illness Concern: Short-Term Change (On-Demand)
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.
ANALYSIS NOTESDisease/Illness Concern: Short-Term Change (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Anxiety/Stress Concern: Short-Term Change (On-Demand)
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.
ANALYSIS NOTESAnxiety/Stress Concern: Short-Term Change (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Unemployment Concern: Short-Term Change (On-Demand)
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.
ANALYSIS NOTESUnemployment Concern: Short-Term Change (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Crime/Safety Concern: Short-Term Change (On-Demand)
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.
ANALYSIS NOTESCrime/Safety Concern: Short-Term Change (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Government/Governance Concern: Short-Term Change (On-Demand)
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.
ANALYSIS NOTESGovernment/Governance Concern: Short-Term Change (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Public Search Relationships
What this section contains

Screened relationships among public-search concern topics, including strength and statistical controls where available.

How to interpret it

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.

Public Search Interest Correlations

Monthly relationship screens showing which public search topics reinforce one another and which tend to diverge.

Public Search Interest Co-Movement Matrix
Shows measurable co-movement among public-search topics. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
Public Search Interest Pairings
Shows measurable co-movement among public-search topics. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
Crime/Safety ↔ Government/Governance
Move together
Correlation0.416
q-value0.004
StrengthModerate
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
Move together
Correlation0.317
q-value0.036
StrengthModerate
Moderate positive co-movement: Unemployment and Government/Governance tended to rise or ease together (r=0.32); association only, not causation.
View screened correlation tableSCREENED
PairCorrelation (r)q-valueCorrelation strengthInterpretation
Crime/Safety ↔ Government/Governance0.4160.004ModerateModerate positive co-movement: Crime/Safety and Government/Governance tended to rise or ease together (r=0.42); association only, not causation.
Unemployment ↔ Government/Governance0.3170.036ModerateModerate positive co-movement: Unemployment and Government/Governance tended to rise or ease together (r=0.32); association only, not causation.
Which Public Concerns Tend to Move First?
Screens for lead-lag relationships among public-search topics. Rows show cases where one search-interest topic historically tended to move before another in weekly changes. Bidirectional results should be read as reinforcing public-concern patterns or shared-shock behavior, not one-way causation.
Quick reference
Scroll to compare
PairCorrelation (r)q-valueCorrelation strengthInterpretation
Crime/Safety ↔ Government/Governance0.4160.004ModerateModerate positive co-movement: Crime/Safety and Government/Governance tended to rise or ease together (r=0.42); association only, not causation.
Unemployment ↔ Government/Governance0.3170.036ModerateModerate positive co-movement: Unemployment and Government/Governance tended to rise or ease together (r=0.32); association only, not causation.
ANALYSIS NOTESPublic Search Interest Co-Movement Matrix
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Currency Signals
What this section contains

The country currency or an explicit benchmark exchange-rate series, its recent direction, latest observation date, and market-pressure interpretation.

How to interpret it

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.

Currency Signals

Financial views showing whether currency behavior is reinforcing or diverging from the country’s narrative-risk signal.

Currency Snapshot
Provides a concise view of USD/EUR conditions, translated into a risk-pressure score relative to the currency’s history. It highlights the current position, short-term movement, and expected near-term range.

This Month’s Currency Risk Baseline

The smoothed monthly reference point for currency pressure. Compare the latest signal with this baseline.
56.6
WATCH
Low Risk <40 • Watch 40–60 • Stress ≥60
Risk-pressure score from FOREX_Normalized (MA30)

Latest Currency Risk Signal

Shows current currency pressure and whether it is above or below its recent baseline.
56.5
WATCH
Low Risk <40 • Watch 40–60 • Stress ≥60
Momentum (MA7–MA30) -0.0

90-Day Currency Risk Range

Shows a bounded near-term planning range for the currency pressure signal.
56.9
WATCH
Low Risk <40 • Watch 40–60 • Stress ≥60
Envelope: 55.6–58.1
🔎 ANALYSIS NOTESCurrency SnapshotClick to expand · how to read this view
What this view shows

Three standardized risk-pressure readings derived from USD/EUR.

How to read it

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.

Why it matters

Currency pressure can confirm or diverge from Economy and Governance evidence. Source: Malta_fin.csv; latest observation: 2026-09-12.

Operational example

If the latest signal rises above its baseline while economic narratives worsen, treat the combined evidence as stronger than either channel alone.

Exchange Rate Trend
Shows the recent USD/EUR exchange-rate path with seven-day smoothing. Use it to see whether market pressure is building, easing, or broadly unchanged.
🔎 ANALYSIS NOTESExchange Rate TrendClick to expand · how to read this view
What this view shows

The USD/EUR exchange rate through 2026-09-12, smoothed with a seven-day moving average.

How to read it

Read the slope and persistence, not a single point. A higher rate means the Malta currency (EUR) is weaker against the U.S. dollar.

Why it matters

The market series is a confirmation and timing layer; it does not independently determine the integrated country-risk score. Source: Malta_fin.csv.

Operational example

A sustained adverse move alongside rising Economy or Governance risk is more decision-relevant than a brief isolated currency fluctuation.

🧭 SECTION CONTEXT — Cross-Source Alignment
What this section contains

Comparison of narrative OSINT, Public Search, and currency/market signals to show confirmation, divergence, and possible timing differences.

How to interpret it

Convergence across independent channels increases confidence. Divergence is analytically important and should be explained rather than averaged away.

Cross-Source Signal Alignment & Divergence

Shows where narrative risk signals, public concern, and financial indicators move together or diverge, helping determine whether observed risks are broadly supported or isolated.

Public Search Interest vs OSINT Narrative Signal Map
Shows measurable co-movement among public-search topics and OSINT Narrative indicators. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
ANALYSIS NOTESPublic Search Interest vs OSINT Narrative Signal Map
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Public Concern vs Currency Pressure (On-Demand)
Compares public-search concern pressure with currency pressure to test whether public attention and market stress are moving together or diverging.
ANALYSIS NOTESPublic Concern vs Currency Pressure (On-Demand)
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Public Search Interest That May Lead OSINT Narrative Indicators
Screens for cases where public-search topic interest historically tended to move before an OSINT Narrative key indicator. The table focuses on public search leading narrative indicators; reverse-only relationships are excluded because they do not answer the early-public-concern question.
Quick reference
Scroll to compare
Lead indicatorTargetDirectionLag (days)q-valueSignal strengthInterpretation
Public Search: Anxiety/StressOSINT Narrative: Psychological StrainAnxiety/Stress → Psychological Strain280.098ModeratePublic 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: UnemploymentOSINT Narrative: EconomyUnemployment → Economy420.098ModeratePublic 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.
ANALYSIS NOTESPublic Search Interest That May Lead OSINT Narrative Indicators
What this table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Public Concern vs Overall Risk Signal
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.
ANALYSIS NOTESPublic Concern vs Overall Risk Signal
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Public Search Interest vs Currency Pressure Map
Shows measurable co-movement among public-search topics and currency pressure. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
ANALYSIS NOTESPublic Search Interest vs Currency Pressure Map
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Public Search Interest Vs Currency Pressure Relationships
PASS_NO_VALID_RESULTThe completed statistical screen reported no qualifying result under its configured threshold.33261
Which OSINT Narrative Risk Signals Are Moving With the Currency?
Shows measurable co-movement among OSINT Narrative indicators and currency pressure. Displayed relationships require |r| ≥ 0.30 and q-value ≤ 0.10 when available. Correlation strength is classified as Moderate (.30–.49), Strong (.50–.69), Very strong (.70–.84), or System-level (.85+). When several signals form a system-wide cluster, redundant pairs are suppressed and representative links are shown. Correlation is association, not causation.
ANALYSIS NOTESWhich OSINT Narrative Risk Signals Are Moving With the Currency?
What this chart/table shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Which Signal Usually Moves First?
Shows whether currency pressure or narrative risk indicators have historically tended to move first. Use as a timing aid, not proof of causation.
Quick reference
Scroll to compare
RelationshipPatternLag (days)q-valueSignal strengthInterpretation
Governance Risk → FOREXDirectional lead-lag110.015HighGovernance Risk tends to lead FOREX by about 11 days in this screening window; use as timing evidence, not causal proof.
Economic Risk → FOREXDirectional lead-lag140.015HighEconomic Risk tends to lead FOREX by about 14 days in this screening window; use as timing evidence, not causal proof.
National Defense Risk → FOREXDirectional lead-lag50.024HighNational Defense Risk tends to lead FOREX by about 5 days in this screening window; use as timing evidence, not causal proof.
FOREX → Health RiskDirectional lead-lag10.019HighFOREX tends to lead Health Risk by about 1 days in this screening window; use as timing evidence, not causal proof.
FOREX → Psychological Strain RiskDirectional lead-lag10.015HighFOREX tends to lead Psychological Strain Risk by about 1 days in this screening window; use as timing evidence, not causal proof.
ANALYSIS NOTESWhich Signal Usually Moves First?
What this table shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

🧭 SECTION CONTEXT — Underlying Signal Forecasts & Uncertainty
What this section contains

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.

How to interpret it

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.

Integrated Risk Outlook

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).

Integrated Risk Outlook
This section shows the forward path of the sameNarrative + Public Interestrisk series used by theCurrent Stress LevelandMonthly Stress Baselinecards. It presents a dedicated overall history-plus-forecast view and prefers the macro-anchored overall series whenever that series is available.
  • Read the recent history first to see the latest overall path of risk.
  • Then compare the forecast median with the p10–p90 band to judge likely direction and uncertainty.
  • Use the checkpoint table to see how that same overall series is likely to evolve over the next 13 weeks.
Why it matters:This section keeps the total country-risk view separate from the narrower category-centered forecast charts, while making sure the historical line and the forecast are built from the same risk logic used in the executive summary.
Example:If the overall forecast median drifts lower and the forecast band also shifts lower, the dashboard is signaling broader near-term deterioration in overall country risk rather than a one-off disturbance.
Underlying Signal Forecasts & Uncertainty
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.
ANALYSIS NOTESIntegrated Risk Outlook
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Economy: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESEconomy: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

National Defense: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESNational Defense: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Psychological Strain: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESPsychological Strain: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Governance: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESGovernance: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Society: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESSociety: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Health: Underlying 90-Day Signal Range
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.
ANALYSIS NOTESHealth: 90-Day Forecast Range
What this chart shows

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.

How to read it

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.

Why it matters

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.

Operational example
Example:

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.

Overall Risk: Risk of Entering Watch or Stress
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.
ANALYSIS NOTESOverall Risk: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Underlying Domain Signal Forecast Ranges

Shows forecasted paths and uncertainty ranges for each domain over the next 90 days, using the prepared dynamic risk series.

Domain Risk of Entering Watch or Stress

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.

Economy: Risk of Entering Watch or Stress
Shows the probability that Economy enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.
ANALYSIS NOTESEconomy: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

National Defense: Risk of Entering Watch or Stress
Shows the probability that National Defense enters Watch or Stress over the next 90 days using the narrative-based dynamic forecast series.
ANALYSIS NOTESNational Defense: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Psychological Strain: Risk of Entering Watch or Stress
Shows the probability that Psychological Strain enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.
ANALYSIS NOTESPsychological Strain: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Governance: Risk of Entering Watch or Stress
Shows the probability that Governance enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.
ANALYSIS NOTESGovernance: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Society: Risk of Entering Watch or Stress
Shows the probability that Society enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.
ANALYSIS NOTESSociety: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.

Health: Risk of Entering Watch or Stress
Shows the probability that Health enters Watch or Stress over the next 90 days using the dynamic Narrative + Public Search forecast series.
ANALYSIS NOTESHealth: Risk of Entering Watch or Stress
What this chart shows

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.

How to read it

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.

Why it matters

The view helps convert raw dashboard output into a monitoring decision: whether the signal deserves routine awareness, closer watch, or escalation for deeper review.

Operational example
Example:

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.