Trust & Privacy

Grey Mirror Press Coverage and Media Resources

Read published coverage of Layne Weant and Wentropy Labs, including Informatics Magazine. Find Grey Mirror facts, brand assets and media contact details.

What is Grey Mirror, and what can it be cited for?

Grey Mirror analyses a complete exported message history and reports patterns in reciprocity, conflict and repair with the evidence attached. It is a measurement tool: it does not diagnose abuse, deception or illness, and it does not predict whether a relationship will last. Original aggregate research is published with its limits, its citation, and the measures that were deliberately withheld.

  • Grey Mirror analyses a complete exported message history rather than a screenshot, and reports patterns in reciprocity, conflict and repair with the evidence attached.
  • Published research: Relationship Texting Benchmarks 2026, aggregate findings across 29 de-duplicated two-party histories from 20 accounts totalling 4,600,611 messages, with a copyable citation and a versioned JSON artifact behind every figure.
  • The withheld list is part of the publication: six measures were computed and deliberately not reported, each with its reason, including a classifier direction artifact that looked like a finding and was not.
  • Founder and research author: Layne Weant, founder of Wentropy Labs. Expertise in computational conversation analysis, NLP, machine learning, consumer AI and privacy engineering. Not a clinician, therapist or lawyer.
  • Featured in: Informatics Magazine, September 14, 2026, “Tame Shadow Analytics While Preserving Team Autonomy”, an expert Q&A roundup on metric governance that quotes Layne Weant as Founder, Wentropy Labs. It is editorial coverage of his contribution, not a review or endorsement of Grey Mirror.
  • Bylined article: Linguistics News, September 25, 2026, “The Signal Is Rare: What Millions of Text Messages Can Tell Us About How People Communicate”, by Layne Weant, discussing what complete message histories can reveal and the limits of the data.
  • Available on the web and as a free iPhone app. The app and the web version read the same exports and produce the same report.
  • Standing limit to quote alongside any figure: everyone in the research cohort chose to have a relationship analysed, so it is not a representative sample of relationships.
  • Press and research enquiries: press@justlay.me. We answer specific questions with specific numbers, and say plainly when we do not have the data.

Start with a completely free analysis of your entire text history, with no card required. Your free preview includes 4 evidence-linked findings. An optional full report is $17.99 USD once: your complete relationship story across the full timeline, cinematic narrative, Memory Lane, evidence, metrics, custom charts, and available results from Grey Mirror's 30-analyzer inventory. Grey Mirror Plus is $9.99/month for 1 full report credit each paid month. Unused credits carry forward; keep unlocked reports permanently.

Grey Mirror measures communication patterns using published methods, supporting messages and stated limitations. It does not provide a clinical assessment. Grey Mirror has 30 analyzers built on up to 47 models. The public metrics library explains what each measurement shows.

This page exists so Grey Mirror can be cited accurately without an email exchange. Grey Mirror analyses a complete exported message history and reports patterns in initiation, reply timing, reciprocity, conflict and repair, with the supporting messages attached to each finding. It is a measurement tool: it does not diagnose abuse, deception or illness, it does not predict whether a relationship will last, and it makes no claim about anyone intent.

The figures most often wanted, each tied to the cohort it came from. Signal cohort: 29 de-duplicated histories, 4,600,611 messages, 20 accounts; 97.4% of messages carried no detectable emotional signal, and affection outnumbered explicit repair attempts by roughly 10.7 to 1. Conflict cohort: 44 histories, 2,994,932 messages; median escalation 195.3 events per 1,000 messages against 5.43 repair attempts and 4.31 apology attempts, with 28 histories pursuit-skewed, 10 withdrawal-skewed and 6 balanced, and only 5 repairing more often than they escalated. The two cohorts were built for different measures, may overlap, and must never be summed into a single total.

The limits travel with the numbers. Both cohorts are self-selected: these are histories uploaded by people who already had a question about the relationship, so the proportions describe the cohort and not relationships at large. There are no outcome labels, so nothing in the data speaks to whether any relationship survived. One reply-latency measure was withheld entirely because the direction split 9 to 13. The turning-point figures come from synthetic threads where the answer was known in advance.

Everything above is reproducible from the published files: the full findings dataset, the master findings CSV, the data dictionary and the provenance audit are linked from the research pages, and the charts are available as 2160 by 2160 images. Attribution should read Grey Mirror by JustLayMe, with a link to the specific research page a figure came from rather than to the product.

Press, research and partnership enquiries: press@justlay.me.

Kesher Psychological Services · Analysis inventory · Grey Mirror vs ScanMyLove vs Lucen

Featured in: Informatics Magazine, “Tame Shadow Analytics While Preserving Team Autonomy” (September 14, 2026), an expert roundup quoting Layne Weant, Founder, Wentropy Labs.

By Layne Weant: Linguistics News, “The Signal Is Rare: What Millions of Text Messages Can Tell Us About How People Communicate” (September 25, 2026), a bylined article on relationship-message research.

Company profiles and product listings

Find Grey Mirror in software directories and app listings, Justlay.me on Crunchbase, and our channel on YouTube. These profiles are separate from editorial coverage and our own research announcements.

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More from Grey Mirror

Related Guides

Choose what to inspect

A statistic needs its denominator and its definition

Visual guide updated

  1. Reported result

    Quote the published headline statistic with the wording and measurement used in the research.

  2. Study population

    Keep the de-duplicated relationship-history sample and its limitations attached to the claim.

  3. Source material

    Link the research page, methods and author details so a reader can check the result.

Conceptual reading guide. This diagram explains what to inspect; it is not a customer report, diagnostic test or measured relationship score.
Use this guide on the question you came with

Do not turn a descriptive sample result into a rule for every relationship. Contact the named author for clarification instead of inventing an endorsement.