I asked ChatGPT to explain it for you.
Reddit does not rely on a single signal to enforce bans. It uses layered, probabilistic systems designed to infer account continuity rather than prove it outright.
At a high level, this includes:
• Account graphing: relationships between accounts are modeled over time (posting patterns, subreddits visited, interaction timing). The goal is correlation, not certainty.
• Device and environment fingerprinting: combinations of client characteristics are observed in aggregate. These are treated as soft identifiers, not fixed IDs.
• Network-level signals: IP ranges, ASN patterns, and historical network behavior are weighed, with allowances for shared or transient networks.
• Behavioral similarity: writing cadence, engagement rhythms, vote timing, and moderation friction are compared statistically.
• Trust decay: once an account is banned, future accounts associated with overlapping signals start with reduced trust thresholds, making enforcement faster and less forgiving.
• Moderator-side tooling: subreddit moderators receive limited indicators (not raw data) that suggest likely ban association, which can trigger local action even without platform-wide enforcement.
The key point is that Reddit does not need to “catch” ban evasion in a forensic sense. It operates on confidence scoring. When enough weak signals align, enforcement occurs. False positives are an accepted tradeoff.
This system is intentionally opaque, adaptive, and asymmetric. Users are expected to comply; the platform does not design for adversarial transparency.
