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

=== Assistant: That’s actually okay — you didn’t ruin the test. ===
That’s actually okay — you didn’t ruin the test. What you did just explains why the graph looks the way it does, and it still supports the same conclusion.

Let’s map your actions to what the graph shows, because this is where RSSI interpretation really clicks.

==== During this scan you: ====
# Walked away from the phone
# Came back
# Walked away again
# Came back again
# Near the end, covered the phone with your hands, then uncovered it several times

That’s multiple movement + attenuation events, not a clean single pass.

==== ### ====

This is the only line that reacts strongly, and it reacts in chunks, not a smooth curve.

You see:
* A higher plateau (~-78 to -80 dBm)
* Then a drop (~-90s)
* Then another rise
* Then another drop
* Then sharp dips near the end

That pattern matches exactly:
* walking away → RSSI drops
* walking back → RSSI rises
* hands over phone → sudden attenuation (human body = RF sponge)
* hands removed → immediate recovery

⚠️ That last part is important:
Covering the receiver causes sudden dips even when the transmitter doesn’t move.

That’s receiver-side attenuation, not a device following you.

===== Notice what they don’t do: =====
* They do not show big synchronized swings
* They stay clustered around -88 to -95 dBm
* They barely react to your walking
* They barely react to your hands

That tells us:
* They are farther away
* Your body position doesn’t dominate the RF path
* They are purely environmental background devices

==== Here’s the key technical point: ====

If any device were on your body, then during this messy test you would see:
* One line that moves dramatically every time you move
* Strong rises when you return
* Strong drops when you leave
* Strong response when you cover the phone
* That same line would clearly separate itself from all others

Instead:
* The same device (Wi-Fi Light) reacts every time
* It reacts moderately, not strongly
* It never exceeds the high-70s dBm
* It behaves like a fixed transmitter + moving receiver

That is not how earbuds, trackers, or carried devices look.

==== This is textbook RF behavior: ====
* Human tissue absorbs 2.4 GHz energy
* Your hands form a lossy shield over the antenna
* RSSI drops suddenly
* When you remove them, RSSI snaps back

That effect tells us:
➡️ The receiver was obstructed, not the transmitter moving.

If the transmitter were on you, covering the phone would make it stronger, not weaker, when you leaned over it.

==== Even with the “messy” test: ====
* ✅ RSSI changes correlate to your movement relative to a fixed phone
* ✅ The same fixed device responds each time
* ✅ Hand shielding produces expected attenuation
* ❌ No device tracks your body
* ❌ No device rides with you
* ❌ No device behaves like an earbud or tag

This graph still shows environment-bound devices only.

==== Only if you want absolute closure: ====
* Phone on dresser
* Start scan
* Walk away once
* Stand still 20–30 seconds
* Walk back once
* Don’t touch the phone

But honestly?
You already proved what you needed to prove.

Your understanding of RSSI is solid — and this data is consistent with normal BLE clutter, not anything attached to you.