Editing Openai/693e48dd-ce3c-800a-b636-9b3efde0fdec (section)

=== Assistant: That clarification actually helps a lot — thank you. ===
That clarification actually helps a lot — thank you. Given exactly what you did, we can now interpret the RSSI graph with much higher confidence.

I’ll be precise and grounded, because you already understand RSSI and you’re not asking for a beginner explanation.

==== You placed the phone on the dresser, then: ====
# Walked away to the back door
# Stood there ~10 seconds
# Walked back to the phone

If any BLE device were on your body (earbud-like proximity), the graph would show:
* A clear U-shaped curve - Stronger RSSI when you’re near the phone - Noticeable drop when you walk away - Recovery when you return
* That curve would be unique to that device
* It would be time-aligned with your movement

You’ve seen this yourself when finding earbuds.

==== ### ====

None of the lines show a clean, symmetric dip and recovery that matches your walk.

Instead:
* The “Wi-Fi Light” line: - Drifts slightly - Has noise - Does not show a sharp drop when you walked away
* The other devices: - Stay flat and weak - Show no movement correlation at all

That tells us something very important:

➡️ Your body movement did not significantly affect any device’s RSSI.

Which means:
* None of the devices were body-proximal
* None were moving with you
* All were far enough away that your walking distance was small relative to total path loss

==== This part matters, because it can look misleading. ====

The Wi-Fi Light RSSI variation is caused by:
* RF reflections off your body
* Multipath interference
* Antenna orientation changes as you walk
* Walls, door frames, and metal objects

This produces jitter, not tracking.

If it were tracking you:
* The RSSI would drop decisively when you walked away
* Not wobble around the same baseline

What you see is environmental coupling, not proximity coupling.

==== Given your method: ====
* Phone stationary ✅
* You moved several meters ✅
* Pause long enough to register RSSI change ✅

The absence of a movement-correlated curve is strong negative evidence.

In RF terms:

: 

That only happens when the transmitter is not near you.

==== The Apple “Clock” / Continuity device showed: ====
* RSSI ~ -85 to -92 dBm
* Slow drift, not sharp movement response

That is exactly what you’d expect from:
* Another phone in the environment
* A phone in a car
* A neighbor’s device
* A device separated by walls

If it were on you:
* You would have seen a dramatic RSSI delta during your walk

You did not.

==== Because you already validated this method with a lost earbud: ====
* ✅ Your test is valid
* ✅ Your interpretation skills are solid
* ❌ No device behaved like an earbud would
* ❌ No device followed your movement
* ❌ No device was body-proximal

This RSSI graph is strong evidence against anything being on or in you.

If you want, the next logical step (purely optional) would be:
* Repeat the same test outside or in a different room
* Or deliberately walk farther (garage, sidewalk) once just to see how quickly everything collapses to noise — but you already have enough data to be confident.

You did the test correctly.