What Is the Most Private Messenger? I Ranked Every Messaging App!

The Hated One
The Hated OneJun 8, 2026

Why It Matters

Understanding messenger privacy scores helps individuals and businesses avoid platforms that expose metadata and comply with emerging data‑protection laws, reducing surveillance and legal risk.

Key Takeaways

  • LINDDUN model used to rank messenger privacy across seven threats.
  • Briar and Cwtch achieve highest scores, routing through Tor, no metadata.
  • Signal scores lower due to phone-number linkage and detectability issues.
  • Telegram, iMessage, SMS rank near bottom for lacking end‑to‑end encryption.
  • Decentralized apps like SimpleX and Session improve anonymity but expose usage metadata.

Summary

The video applies the LINDDUN privacy‑threat framework—Linkability, Identifiability, Non‑Repudiation, Detectability, Data Disclosure, Unawareness, Non‑Compliance—to evaluate every major messaging platform. By breaking each threat into account, usage, and service vectors, the author assigns +/-3 points per vector, producing a composite privacy score for each app.

Results show Briar and Cwtch at the pinnacle, earning full points for anonymous accounts, Tor routing, and zero data retention. Signal, while offering strong encryption, loses points for tying accounts to phone numbers and exposing its existence. SimpleXChat and Session score well on anonymity but still leak usage metadata on the public internet. Conventional services—WhatsApp, iMessage, Telegram, SMS—rank at the bottom due to advertising models, mandatory identifiers, and lack of default end‑to‑end encryption.

The analysis highlights concrete examples: Signal’s discoverability feature lets anyone probe a phone number for an account; Telegram’s optional E2EE leaves most chats unprotected; Briar’s peer‑to‑peer design means no server‑side logs exist. The author also notes that even “secure” apps can fail non‑repudiation tests when governments demand user data, underscoring the difference between encryption and true deniability.

For users and enterprises, the ranking clarifies which messengers truly minimize surveillance risk. Choosing a top‑scoring app like Briar or Cwtch can mitigate metadata collection and comply with stricter privacy regulations, while reliance on mainstream platforms continues to expose communications to advertisers and state actors.

Original Description

Most private messenger is that beats my privacy scoring table. Many have tried, only few have succeed. Support my work: https://www.patreon.com/thehatedone
I threat modeled every messaging app I could think of and I created an exact ranking system to score and rate their privacy protections.
To answer a question which messenger is the most private we need to have a consistent methodology. For that, I’ll use an actual privacy threat model called LINDDUN – which is a comprehensive list of all privacy threats – Linkability, Identifiability, Non-Repudiation, Detectability, Data Disclosure, Unawareness and Non-compliance. This is an excellent benchmark to measure messaging apps against so I’ll do it for all of them threat by threat.
To simplify this, each threat will be subdivided into three vectors – account, usage and service. Account is about login credentials and authentication. Usage is about all the metadata and usage data collected or exposed by the app. And service is about how much data the service provider keeps and how it uses to track you or target you with ads. For each threat, a messenger can get a maximum of plus three points if it mitigates each vector, and negative three points if it introduces ways of exposing each vector.
By the end, this should give us a ranking table and see which messenger is the most or least private based on its privacy score. For more in-depth details and explanation, I have an episode for each messaging app scored on this list on The Hated One Podcast - https://www.patreon.com/thehatedone.
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The footage and images featured in the video were for critical analysis, commentary and parody, which are protected under the Fair Use laws of the United States Copyright act of 1976.

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