System:ActiveLatest:Q4 Nov 2024
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Intelligence Console · Full View

Decision-Grade Intelligence

Live output based on NSW Government quarterly gaming machine reporting, rendered through the Standards Spine. Change the scenario to see the model recalibrate against five years of quarterly data.

Dataset · NSW Quarterly
Selected Quarter
Q4 Nov 2024
5-Year Baseline (PPM)
$15,290+21.3%
QoQ · YoY
+4.1% / +8.8%
Percentile
P100
Risk State
Elevated
↑ from Baseline
Confidence
0.82
+0.43 vs baseline
Timeline →

Panel 01 · Public Data Inputs

DatasetNSW Gov Quarterly
Reporting StreamClubs
Region CodeRegion A
LGA ClusterMetro High Density
Latest QuarterQ4 Nov 2024
Period Range5-year quarterly history (20 quarters)
Aggregation LevelLGA cluster
Reporting DelayQuarterly
Data TypePublic aggregated dataset
Privacy · Demo-safe abstraction applied

Panel 02 · Standards Spine Analysis

Trend DetectionActive
Trend DirectionIncreasing
5-Year BaselineEstablished
Seasonal AdjustmentApplied
QoQ Change+4.1%
YoY Change+8.8%
5-Yr Percentile Rank100
Rolling 4Q Avg (PPM)$17,702
Volatility Score0.2
Concentration SignalBaseline
Contradictory SignalsLow
20-quarter profit-per-machine trendConfidence · 0.82

Panel 03 · Decision Output

Risk State · Elevated
Confidence0.82
Behaviour Pattern

Sustained above-baseline loss concentration detected across quarterly public reporting periods.

Recommended Action

Trigger policy review, monitor regional concentration, and assess harm-minimisation intervention options.

Evidence Chain
  • Five-year percentile rank 100 (above 80)
  • Year-on-year change +8.8% vs same quarter prior year
  • Profit per machine above rolling four-quarter average
  • Seasonal deviation detected (+8.8%)
Revised source report
Intelligence Layer

Scores & deterministic findings

Driver values 0\u2013100 \u00b7 w = weight%
Cluster Venue Risk Score
66
  • Loss per machine (normalised to state max)
    91 · w30
  • Quarter-on-quarter growth
    51 · w20
  • Aggregate machine exposure
    100 · w15
  • Cluster venue vulnerability (proxy)
    45 · w15
  • Concentration intensity
    35 · w20
Local Risk Score
54
  • Loss per capita (vs state maximum)
    70 · w30
  • Machines per 1,000 adults
    45 · w25
  • SEIFA-adjusted exposure (proxy)
    55 · w20
  • Growth trend (YoY)
    54 · w15
  • Service-access gap (proxy)
    25 · w10
Escalation Index
69
  • Acceleration vs prior periods
    54 · w40
  • Shift above state baseline
    100 · w35
  • Persistence above rolling avg
    50 · w25
Stability Index
59
  • Flat or declining losses
    42 · w35
  • Low concentration
    65 · w25
  • Reduced volatility
    80 · w25
  • Lower vulnerability weighting
    55 · w15

What Mattered

  • Latest quarter sits at the 100th percentile of the cluster's five-year distribution — the upper tail.
  • Loss concentration remains heavily skewed toward the most recent quarters rather than being evenly distributed across the reporting window.
  • Growth is outpacing baseline in Metro High Density without corresponding expansion in machine count — the signal is per-machine intensity, not capacity.
  • Profit per machine is running 41% above the state quarterly average.
  • Source report has been reissued by NSW Liquor & Gaming — a population-basis correction applies to this reporting period.

Emerging Signals

  • Machine density in this cluster is already elevated; small quarterly shifts translate into disproportionately larger per-capita exposure changes.
  • Low-volatility persistent growth — the increase is a smooth upward drift rather than an event-driven spike, which increases the signal’s reliability.

Scenario Interpretation

  • Modelled machine-speed reductions would produce the largest projected change in high-intensity clusters such as Metro High Density, where the signal is carried by per-machine yield rather than machine count.
  • Line-restriction measures appear more material where machine density is stable but yield per machine is elevated — the observed configuration in this cluster.

This console uses delayed, aggregated NSW Government quarterly gaming machine data and demo-safe transformed inputs to illustrate behavioural risk intelligence modelling. It does not represent live monitoring of venues, machines, or individuals. It is not gambling advice and does not encourage gaming participation.