Understanding your text conversations
Plenty of tools will hand you a compatibility percentage, a personality type, or a confident verdict about a single message. These pages take the harder, more honest route: what the research on communication patterns actually supports, why a pattern only means something across time, and how to read a thread without forcing a conclusion it cannot carry.
Last updated: July 15, 2026
Green flags in texting: what healthy patterns look like
The signals worth noticing — reciprocity, repair, and attentiveness read as a pattern over time, never as one flattering message.
8 min readReadThe pursuer-withdrawer pattern in text conversations
One reaches, one steps back, and the loop tightens. What the pursue-distance pattern looks like over text — and the fair read of both sides.
8 min readReadWhat does dry texting actually mean?
'ok.' 'lol.' 'sure.' A short reply is not a verdict. Why the only honest signal is a change over time, not any single flat message.
7 min readReadHow to prepare for a hard conversation with your partner
Before the talk: a softened start-up, one issue, and a re-read of the real thread so you react to what was said, not what you remember.
8 min readReadShould you read your partner's texts?
The research consensus on snooping, and the line ReadBeneath draws: understand your own side of a shared thread, never surveil someone else's.
7 min readReadSigns someone likes you over text (read the pattern, not one message)
Density beats a checklist. A few consistent signals — initiation, responsiveness, depth — say more than any single flirty message.
8 min readReadWhat the research says about texting and relationships
A cited roundup of what Gottman, Pew, the APA, and peer-reviewed studies find about texting and relationships — patterns over single messages, always hedged.
10 min readReadReady to look at a real thread?
The guides cover exporting a WhatsApp or iMessage conversation, the Gottman patterns over text, and exactly how much history an analysis needs before its findings mean anything.
Browse the guidescited evidence · a fair alternative on every observation · honest when the sample is thin