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🧠 MODULE 04 // RISK INTELLIGENCE // 2026-06-09 // LOS ANGELES, USA

Los Angeles Risk Score History Revealed — What 30-Day Analytics Show

Time series trends, city comparison tables, and signal contribution analytics — turning raw risk scores into strategic intelligence.

POWERED BY USGS · NASA · NOAA
READ TIME ~5 MIN
PUBLISHED 2026-06-09 04:44:27 UTC
CITY FOCUS LOS ANGELES
🧠 OPEN BRAIN DASHBOARD LIVE
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// LIVE ANALYTICS MAP — REAL-TIME DATA
DATA: USGS · NASA FIRMS · NOAA SWPC · OPEN-METEO · COPERNICUS SAR
↗ OPEN FULL SCREEN

Los Angeles wakes up to a 4.2 magnitude earthquake at 3:47 AM—and by 3:48 AM, the Brain Dashboard's Analytics tab already shows you exactly what just happened, what's likely next, and which neighborhoods felt it most. Real-time risk intelligence isn't about guessing anymore. It's about watching the data stream live, every 4 seconds, as hazard signals arrive from seismic networks, satellite sensors, and atmospheric monitors across the region.

The Analytics tab is where data becomes decision. Whether you're a city planner preparing for wildfire season, an insurance analyst pricing earthquake risk, or an emergency manager coordinating response, this is your command center.

THE ANALYTICS TAB

At the top of the Brain Dashboard, five KPI summary cards give you the pulse of Los Angeles in a glance: current earthquake risk score, 24-hour incident frequency, highest-threat hazard type, population in high-risk zones, and system refresh status. Each card updates live as new signals arrive.

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KPI Summary Cards
Five real-time metrics: risk score, incident count, dominant hazard, exposed population, and data freshness. Refreshes every 4 seconds as new sensor data feeds the Brain.
LIVE DATA
📈
Time Series Charts
Watch hazard risk evolution over 24 hours, 7 days, or 30 days. Spot patterns—aftershock decay, wildfire pressure buildups, flood probability spikes tied to atmospheric rivers.
HISTORICAL + LIVE
🔍
Signal Contribution Breakdown
See which sensor types and sources drive your risk score. Earthquake acceleration? Seismic network. Wildfire threat? Satellite thermal imagery. Transparency built in.
AI EXPLAINABILITY

READING THE TIME SERIES

The time series charts show you the rhythm of risk. In Los Angeles, a typical 7-day view reveals earthquake clusters (aftershock sequences), wildfire smoke infiltration patterns (especially June–September), and occasional flood risk spikes tied to atmospheric river events. Each data point represents the Brain's AI-derived risk score for that moment.

4.2
Current Earthquake Magnitude (3:47 AM)
23
Aftershocks Detected in 24h Window
1.8M
Residents in High-Risk Zones (Mag 4+)
4.2s
Data Refresh Interval (Seconds)
HAZARD FREQUENCY DISTRIBUTION

Below the time series sits a histogram showing how often each hazard type occurs in your region. For LA, earthquakes lead (daily), followed by wildfire smoke days (seasonal), rare but high-impact floods (winter), and occasional dust storms. This distribution helps you allocate resources and preparedness attention.

SIGNAL CONTRIBUTION ANALYSIS

The Brain Dashboard doesn't hide its reasoning. The signal breakdown shows you: Which sensors fired? A seismic network detected acceleration. Satellite thermal bands detected heat anomalies. Weather models raised flood probability. Each signal gets a contribution percentage to the final risk score. You can drill into any signal to see the raw data, confidence level, and sensor source.

The Analytics tab answers three critical questions: What is happening right now? What is the trend? Why does the AI believe it?

Explore the full live dashboard at panditadata.com/brain_dashboard. For city-specific risk profiles, check the Disaster Report at panditadata.com/disaster_report.

Risk intelligence moves at network speed. So does your dashboard.

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