SCP-3520
Keter
?
low confidence
SCP-3520
Expected annual
$26.1M
One-time setup
$85.7M
Annual recurring
$23.3M
Personnel
12
Initial capital buildout is large (~$85.7M) and dominated by overseas buyouts and contingency/reserve funds; recurring annual costs are substantial (~$23.3M/yr) driven primarily by overseas surveillance, logging subsidies, and domestic suppression operations.
One-Time Capital Costs
Total: $85.7M
Annual Recurring Costs
Total: $23.3M/yr
Cost Scenarios
📊
Baseline
(baseline)
$23.3M/yr
Normal year with ongoing suppression, monitoring, overseas surveillance, subsidies and routine operations; no major incidents or buyouts beyond planned recurring activity.
routine suppression operations
ongoing overseas surveillance
no major exposures or escalations
🚨
Minor Incident
$25.3M/yr
Localized exposure or interference event requiring emergency remediation, increased legal settlements/PR and temporary operational surge.
public complaint/exposure
localized environmental remediation
short-term legal settlements
🚨
Major Escalation
$107.9M/yr
Full-scale escalation requiring immediate liquidation of regional logging influence, large contingency mobilization, rapid overseas scale-up and major one-time investments.
evidence of influence spread
O5-mandated buyouts/liquidation
large-scale containment mobilization
Personnel
12 total
| Role | Count | Notes |
|---|---|---|
| Department of Anomalous Broadcasting staff (operators, RF engineers, signal analysts, archivists, manager) | 8 | [#9] Core DoAB FTEs responsible for suppression, monitoring, recording and first-line analysis (item 9). |
| Rapid-response containment / Field agents (on-call technicians/agents) | 2 | [#11] On-call field team readiness and deployment staff (item 11). |
| Redaction & archival staff (linguists, transcribers, memetics officers) | 2 | [#15] Staff for transcription, redaction and memetic review (item 15). |
Confidence Notes
Wide ranges in analyst estimates (especially for overseas buyouts, subsidies, and contingency spending) and many scenario-dependent, scalable items produce high uncertainty in totals; modeling uses midpoints and aggregated per-region assumptions.