Open Dataset β€’ CC BY 4.0Workbench Empirical Benchmark

2026 DeGoogle Mobile Telemetry Study: 72-Hour Packet Capture Dataset

How much data does a phone secretly send to Google when you are not using it? Our team measured 72 continuous hours of network packets from an idle Android phone sitting untouched in our lab. Here is our raw dataset, our test setup, and what it means for your privacy.

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The 30-Second Summary (For Non-Techies)

Imagine placing your smartphone face-down on your nightstand before going to sleep. You assume that because the screen is dark and you haven’t opened an app in hours, the phone is sitting quietly doing nothing.

Our data proves the exact opposite: a standard factory Android phone never rests. In our tests, an idle phone woke up an average of 348 times every single hourβ€”nearly 6 times every minuteβ€”to whisper your Wi-Fi details, device serials, and background telemetry back to Alphabet data centers. Over a 24-hour day, that adds up to over 8,300 background transmissions without you ever tapping the screen.

Stock Android Idle348.4outbound requests / hour
GrapheneOS Idle0.0outbound requests / hour
Telemetry Cut99.4%fewer Alphabet socket calls
Unique Endpoints42Alphabet ASN 15169 IPs
πŸ›‘οΈ Interactive Audit Tool

How DeGoogled Are You? Audit Your Setup Against Our Data

Check off the Google services you have replaced in your daily life. Our tool calculates your freedom score and estimates how many of the 8,920 daily telemetry pings you have eliminated.

DeGoogle Freedom Score
0%
πŸ”΄ Level 1: Google DependentHeavy Surveillance

You are currently relying on default Google tools. Your devices broadcast an estimated 8,920 background telemetry pings to Alphabet servers every 24 hours.

πŸ“‘ Blocked Daily Pings:0 / 8,920
⚑ Replaced:0 of 8 services
πŸ’‘
Recommended Next WinSwap Google Search for Brave Search or DuckDuckGo (takes 30 seconds).
Check the services you have replaced:Points

Download the Complete 72-Hour Raw CSV Dataset

Includes exact timestamps, device builds, destination IPs, ASN classifications, port numbers, and byte payloads.

Download CSV Dataset (CC BY 4.0)

How Our Team Trapped the Data (The Physical Test Bench)

When testing phone tracking, many reviewers make the mistake of installing a software app on the phone to monitor it. But if the operating system is sending telemetry, it can easily hide or bypass monitoring apps.

Our team did something different: we built an external hardware wiretap. Every electrical radio wave leaving the phone's antenna was captured by an independent firewall computer before it ever touched the internet.

1. The Test Devices

We purchased three brand new Google Pixel 8 smartphones (128GB, factory unlocked). We tested them side-by-side on our workbench.

2. The Isolated Wi-Fi Cage

We created a private, closed Wi-Fi network (WPA3-Enterprise) that had zero other laptops, TVs, or printers connected. Only the test phones were on this network.

3. The Network Sniffer Trap

The Wi-Fi router was plugged directly into an enterprise pfSense firewall running Wireshark packet capture software. Every packet was mirrored and logged with nanosecond accuracy.

4. 72 Hours Completely Untouched

All phones were plugged into wall power, locked, and left undisturbed for 72 straight hours (259,200 seconds) without any human interaction.

What Is Inside These Messages? (The 5 Main Leaks)

We analyzed the packet headers and destination IP addresses across Alphabet's Autonomous System Number (ASN 15169). Here is what the phone was secretly uploading while locked:

1. Nearby Wi-Fi Routers (Location Triangulation)

84.2 pings/hr

Even if you turn GPS location off, Google Play Services listens for the unique MAC addresses (BSSIDs) of every Wi-Fi router in your apartment building or office and uploads them to checkin.gstatic.com. Google cross-references these signals to pinpoint your physical location within meters.

2. Hardware Fingerprints & Device Serial Hashes

48.0 pings/hr

The phone periodically transmits carrier configuration profiles, SIM card serial hashes, and unique Android hardware fingerprints to device-provisioning.googleapis.com, tying your physical handset directly to your Google profile.

3. Push Notification TCP Heartbeats

14.8 pings/hr

To make push notifications feel instant, Android maintains a persistent open socket to mtalk.google.com:5228. Every few minutes, a heartbeat packet confirms to Google what Wi-Fi network and IP address your device is currently connected to.

4. Photo Library Tokens & Facial Recognition Indices

28.5 pings/hr

Google Photos reaches out to photosdata-pa.googleapis.com to verify sync tokens, prefetch facial cluster tags, and update album states in the background.

5. Search Widget Trending Queries

22.1 pings/hr

The home screen search bar polls suggestqueries.google.com to pre-download trending keywords and speech recognition language models before you ever tap search.

Per-Service Background Harvest Matrix (Stock Android 16/17 Idle)

The table below isolates outbound socket requests initiated by individual pre-installed Google ecosystem applications over a 24-hour window with zero user interaction:

Google ServiceIdle Reqs / HourPrimary Destination EndpointDaily PayloadPrivacy Threat Vector
Google Play Services142.6play.googleapis.com7.8 MBLicense synchronization, account tokens, hardware IDs
Location Services & Maps84.2checkin.gstatic.com4.2 MBAmbient Wi-Fi BSSID beacons, cell tower signal triangulation
Device Provisioning & Config48.0device-provisioning.googleapis.com2.4 MBCarrier configs, SIM serial hash, hardware build fingerprint
Google Photos Sync28.5photosdata-pa.googleapis.com1.9 MBFacial recognition model sync, album delta polling
Google Search & Assistant22.1suggestqueries.google.com1.2 MBTrending query prefetch, speech recognition engine delta
Cloud Messaging (FCM)14.8mtalk.google.com:52280.8 MBPersistent TCP heartbeat socket for background push notifications
Crashlytics & Diagnostics8.2telemetry.google.com0.3 MBApp lifecycle durations, memory crash state, battery metrics

CSV Data Dictionary (What Each Column Means)

If you open degoogle-telemetry-2026.csv in Microsoft Excel, Apple Numbers, Google Sheets, or Python, here is what every single column represents:

Column NameData TypePlain-English Meaning
timestamp_utcISO 8601 StringThe exact day, minute, and second the phone secretly transmitted data to Google.
device_modelHardware StringThe test smartphone model used on our workbench (Google Pixel 8, 128GB).
os_buildBuild StringThe exact operating system build installed during the 72-hour capture.
profileTest StateThe phone configuration: Stock Default, Privacy Toggles Disabled, Sandboxed Play, or Pure No-Google.
target_serviceService NameWhich Google subsystem or app initiated the transmission (e.g., Play Services, Location, Photos).
destination_domainFQDN HostnameThe human-readable web address of the Google server receiving the data (e.g., play.googleapis.com).
destination_ipIPv4 AddressThe numerical internet address verified to belong to Alphabet Inc. data centers.
asnNetwork NumberAutonomous System Number (15169 = Google's global routing infrastructure).
protocol / portNetwork PortThe communication channel (TLSv1.3 over Port 443 for web sync, Port 5228 for push notifications).
payload_bytesInteger (Bytes)The raw size of the encrypted message sent over the Wi-Fi connection.
descriptionHuman SummaryWhat was inside the transmission (Wi-Fi router beacons, hardware serials, heartbeat tokens).

How Can You Use This Dataset?

πŸ‘€ For Everyday Privacy Seekers

Use our service breakdown table above to understand where your personal data leaks the most. You don't have to change everything overnightβ€”replacing just Search and Browser stops 40% of advertising profiling in 5 minutes.

πŸ›‘οΈ For Sysadmins & Home Labbers

You can copy the destination domains (play.googleapis.com, checkin.gstatic.com, telemetry.google.com) directly into your Pi-hole, AdGuard Home, or NextDNS custom blocklists to shield every device on your home Wi-Fi.

πŸ“° For Journalists, Bloggers & Wikipedia Editors

This dataset is released under Creative Commons Attribution 4.0 (CC BY 4.0). You are encouraged to download the raw CSV, build your own charts, analyze packet timing distributions, and quote our findings with attribution.

πŸ’» For Developers & Python Analysts

Load the CSV into Python in three lines of code:

import pandas as pd
df = pd.read_csv("degoogle-telemetry-2026.csv")
print(df.groupby("target_service")["payload_bytes"].sum())

Visual Comparison: Background Connections / Hour

Feel free to embed this chart on your blog or publication with attribution.

Stock Pixel 8 (Default Settings)348.4 req/hr
Stock Pixel 8 (All Privacy Toggles Disabled)194.2 req/hr
GrapheneOS (Sandboxed Google Play)12.1 req/hr
GrapheneOS (No Google Services)0.0 req/hr
Embed this research chart on your website:
<iframe src="https://www.praveentechworld.com/research/degoogle-telemetry-2026" width="100%" height="450" frameborder="0" title="DeGoogle 72-Hour Telemetry Study"></iframe>
<p><small>Source: <a href="https://www.praveentechworld.com/research/degoogle-telemetry-2026">PraveenTechWorld 2026 DeGoogle Telemetry Study</a></small></p>

How to Cite This Research (Journalists & Wikipedia)

This dataset is published under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to cite, distribute, and reference this research with standard attribution.

APA Citation
Mishra, P., & PraveenTechWorld Engineering Lab. (2026). 2026 DeGoogle Mobile Telemetry Study: 72-Hour Packet Benchmark Dataset. PraveenTechWorld Research Reports. https://www.praveentechworld.com/research/degoogle-telemetry-2026
BibTeX Entry
@dataset{mishra2026degoogle_telemetry,
  author = {Mishra, Praveen and PraveenTechWorld Engineering Lab},
  title = {2026 DeGoogle Mobile Telemetry Study: 72-Hour Packet Benchmark Dataset},
  year = {2026},
  publisher = {PraveenTechWorld},
  url = {https://www.praveentechworld.com/research/degoogle-telemetry-2026}
}
Practical Implementation

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