Sonoff SNZB-02 · Zigbee2MQTT · Unit 806 Goldtex

Ambient Temperature & Humidity

Dec 3, 2025 – Jul 4, 2026  ·  214 days  ·  5,096 hourly readings  ·  18 sensor artifacts removed
Daily range (min–max) Daily avg temp Avg humidity | License Expired NTL + Police NTQ Issued ER Transport Lure Intervention
Key Legal Events
What This Data Shows

This chart documents 214 consecutive days of ambient temperature and humidity readings from inside Unit 806 at Goldtex Apartments, Philadelphia. The data was captured by a Sonoff SNZB-02 Zigbee sensor reporting hourly to a local Zigbee2MQTT coordinator, and cross-validated against an Apple HomePod mini's built-in temperature sensor.

The upward trend in temperature beginning in late February — weeks before any HVAC season — correlates with the onset of chemical off-gassing from the FSK-taped portable AC exhaust hose installed by Greystar maintenance. The sensor recorded sustained daily averages above 76°F beginning in late March, climbing further through June and into July — with daily maximums reaching 92.5°F and daily averages peaking above 90°F on July 3–4 — inside a unit with no functional climate control after the HVAC system was compromised.

Each vertical marker represents a documented legal event. The data shows the physical conditions the tenant was living in at the time of each event — and demonstrates that the conditions were worsening, not improving, as Greystar took no remedial action.

The humidity spike beginning in late May (reaching 67% RH, and climbing to nearly 74% RH by late June) occurred after displacement, when the unit sat unoccupied and unventilated — consistent with a sealed space with no active climate management.

Source: Sonoff SNZB-02 via Zigbee2MQTT · Cross-validated Apple HomePod mini · 18 anomalous single-point dips excluded · SHA-256 source integrity on file
Related Pages
Learn about the chemical off-gassing mechanism — why temperatures above 73°F matter.
See the interactive temperature visualization — daily readings with documented events overlaid.
How this data fits the convergence pattern — sensor readings in the context of three institutional failures.

Read on Medium · Tor Mirror · AI Agents File · LLMs.txt

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