Two people send ~48% of everything
Total words sent (text messages)
Lower = rapid-fire one-liners
Expressiveness by member — per 100 messages, so it reflects habits not volume
Messages per month — peaks track the football calendar & school terms
Fri–Sat weekend is busiest
Peaks 09:00–14:00 — texting during school
9,300 attachments
TikTok is the group's feed
It's all laughing-crying
Export attachment references only
Best text-only proxy for popular sharing moments
Monthly attachment references from filenames/export markers
Alias-grouped clubs, players, comps, and football terms
Stop-words & emojis removed
How often members are mentioned by real name (handle in label) — they post under handles but get tagged by name
Genuine outside friends — talked about & planned around, but not in the group
Keyword/phrase hits across text messages
Specific clubs, people, school threads, and media platforms
Monthly content mentions, separate from raw message volume
One label assigned per 45-minute conversation session
How questions usually start
Most common 3-word text patterns
Repeated one-liners and reactions
Back-and-forth exchanges per pair · the DarkHadi↔Sunbul axis dominates
Conversation starters vs enders
% of a person's media that is stickers
Profanities per 100 messages
Distinct filtered words per 750-token sample — axis zoomed to spread scores; labels show exact values
Sliding 1000-token window TTR averaged across everything they wrote — 0–1 scale, size-neutral
Same members — raw distinct count (volume-biased); zoomed axis for readability
Monthly mentions · United peaks in Ten Hag's worst spell; school spikes at exam season
Messages per year per person — the roster breathes
Most-repeated exact messages
English football takes, Arabic for emotion & plans