How It Reasons
What you can see today
By every existing metric, this node is fine. No dispatch needed.
What Dream Engine sees
Same node. Five evidence cards, each watching a distinct failure surface. Each card fires independently when its condition is met.
Peak-demand windows degrade upstream
During peak-demand windows (NFL Sunday, prime-time, major streaming events), upstream CCR spikes by +0.29 and SNR drops −6.8 dB. Pattern observed in 3 of last 4 demand windows.
Trend reversal since last repair
Prior maintenance ticket closed with 'Ingress Repair Complete' 14 days ago. 14-day rolling CCR has risen 0.05 and SNR has fallen 1.5 dB. Trend indicates recurrence.
Closed without remediation
NID pin shows 'Auto Kickback / Autoclose' resolution. Current Impacted_Parameters severity (89 of 106 CMs = 84%) still exceeds threshold. System closed without remediation.
Cohort signal on shared CMTS
This node is one of 3 on the same CMTS showing simultaneous degradation. Implies upstream-of-node failure, not per-node defect.
Did not fire
CCR rises with SNR drop, ruling out pure capacity. This is a plant defect, not a saturation issue.
How the engine reasons across the cards
Cross-correlated hypothesis: shared upstream ingress collapse, auto-closed without remediation, recurring under demand load.
- Pure capacity exhaustion— ruled out by Card 5 (SNR is dropping)
- Per-node random failure— ruled out by Card 4 (cohort signal)
- Resolved prior issue— ruled out by Cards 2 and 3 (post-fix recurrence)
What changes operationally
Node monitored. No dispatch. ~250 customers experience repeated service degradation with no operational visibility.
- Customer impact prevented
- ~250 households across recurring degradation events.
- Truck rolls saved
- 1 prevented re-dispatch (since the prior 'fix' did not hold).
- Customer-hours of degraded service
- 17,000customer-hours / yr
- Customer service events
- 4,250exposures / yr
- Truck rolls avoided
- 1rolls / yr
- Dispatch cost avoided · @ $185 / roll
- $185direct cost only
Direct cost only. Excludes churn risk, NPS impact, and repeat-dispatch overhead.