I analysed 20 years of my chats

Archiving Old Chats: Nostalgia, Loss, and Cringe

• Many tried to archive MSN/AIM/Yahoo/ICQ logs in the 2000s, but lost them through hardware failure, phone changes, or forgotten encryption passwords.
• Those who kept logs often find rereading them intensely embarrassing but also revealing of long-term changes in writing and thinking.
• Some are relieved their logs are effectively gone; others still hope to recover encrypted drives.
• Brief side discussion on disk encryption: BitLocker/TrueCrypt timelines, feasibility of bypasses, and the point that quantum computers don’t really help against strong symmetric ciphers.

Privacy, Consent, and Disappearing Messages

• Several now use Signal with disappearing messages (e.g., 4 weeks) and thus can’t reproduce this kind of long-term analysis.
• Strong pushback against tools that export/retain Signal chats to bypass expiry, especially to feed data to LLMs; seen by some as a serious trust violation.
• Counterpoint: each party technically controls their own copies; communication isn’t a one-sided “contract.” Moral disagreement remains unresolved.
• Broader concern that long-lived chat logs are a huge liability: device loss, cloud leaks, subpoenas, or corporate model-training.
• Others argue E2EE and local-only storage mitigate server-side breaches; critics respond that endpoint and backup risks remain. Disappearing messages are framed as shrinking the “blast radius.”

Analyzing Chats with NLP and LLMs

• Multiple commenters want to replicate the analysis with Telegram exports, WhatsApp/iMessage/Facebook data, or email sentiment.
• Suggested techniques: TF-IDF for noise removal, phrase asymmetry (who uses which phrases more), per-person word clouds, question rates, and directional sentiment.
• Limitations noted: TF-IDF down-weights short but important life-event messages and struggles with multilingual filler words.
• One person fed old IRC logs to an LLM to map nicknames to real identities, with surprisingly good results.
• Speculation on whether a personal LLM trained on one’s chats would constitute a kind of “mental cloning.”

Social Networks, Loneliness, and Missed Connections

• Some are amazed or exhausted by the idea of maintaining 150–275 acquaintances; others report having effectively no friends or ongoing chats at all.
• Long subthread on social skills, regret over “ghosting” everyone, and feeling left behind in one’s late 20s–30s.
• Responses stress it’s not too late: advice includes joining classes, hobby groups, volunteering, improv, the gym, or other repeated in-person activities.
• Debate over whether friendship is inherently transactional, how to develop genuine interest in others, and the roles of confidence, appearance, and kindness. Opinions differ, but many emphasize consistent effort over time.

Why Keep or Delete Chats?

• Some auto-delete chats (24 hours to a few months) to reduce future drama and privacy risk, acknowledging occasional regret about lost “receipts.”
• Others deliberately keep everything: for nostalgia, self-reflection, data analysis, or practical search (addresses, recommendations).
• A few don’t understand keeping chats at all and say they never reread; others liken chat histories to yearbooks or long-running group threads that are fun to revisit.
• One point: long-term archives often exist because platforms keep them, retrievable later via data access laws, not because users consciously saved them.