Coordinated "imminent blackouts" narrative targeting Nasza Energia S.A.
A coordinated campaign claiming imminent rolling blackouts and a ~300% electricity-price spike this winter, blaming Nasza Energia S.A. for mismanagement and profiteering. Seeded from two domains sharing infrastructure, amplified by ~60 accounts across 3 synchronized clusters.
Recommended action
REACTConfidence
78%Priority score
82/100Priority breakdown
Diagnosis
Coordinated influence operation. Two seed domains (energiaprawda.info, blackout-alert.pl) share hosting provider and WHOIS registrar, registered 8 days apart. Network topology shows classic amplification pattern: 3 tightly-connected clusters with synchronized posting times (median inter-post interval: 47 seconds within clusters). 7 accounts flagged as likely automated based on posting cadence and creation-date clustering. Narrative is factually inconsistent with current TTF gas pricing (down 8%) and day-ahead power market (flat).
Coordination Network
62 accounts · 3 clustersCoordination evidence: 2 source domains (energiaprawda.info, blackout-alert.pl) share the same hosting provider (BV-Host (Chisinau)) and registrar (NameSilo LLC), registered 8 days apart. 6 accounts flagged as likely automated.
Spread Timeline
Daily volume by platformClear inflection at day 5 when content jumped from Telegram seed channels to X/Twitter amplifiers. Regional Facebook groups activated ~day 6.
Narrative - Reality Gap
Claimed impact vs. actual economic indicatorsTTF natural gas futures down 8.2% over the detection window. Polish day-ahead power prices flat (+0.4%). No supply disruptions reported by PSE (grid operator). Narrative claims of 300% price spike and blackout risk are not supported by any market indicator.
Divergence index (0 = aligned, 1 = maximum gap)
Economic indicators
Counter-Evidence Pack
Auto-generated summary for communications teams. All values are from synthetic demo data.
Action-Risk Estimate
Network-diffusion modelP(collective action)
72%Top contributing factors
Decision support only. This estimate is generated by a network-diffusion model (confidence: 78%). It is one input to a human decision-maker, not an autonomous recommendation. Model assumptions and limitations are documented in the audit trail.
Geographic Risk
Regions affected by this event, ranked by action-risk score
Slaskie
81% risk- •High energy-poverty rate (23%)
- •Single-industry dependence (coal transition)
- •Prior protest history (2023 mining strikes)
Malopolskie
68% risk- •Energy-poverty rate (18%)
- •Active local media amplification
- •Regional election cycle (Feb 2025)
Podkarpackie
62% risk- •Highest heating-cost burden nationally
- •Low media literacy scores
- •Rural population reliant on single info sources