The literature confirms two KK priors. First, KH-007: a pause is only meaningful relative to a person's own baseline — the same 2-second silence reads as 'thinking' for a slow-baseline speaker and as 'coldness' for a fast-baseline one. Second, KH-004: turn-taking is dyad-co-constructed, so two independent personality profiles can never capture it. For the 11-dimension Human Model, this means KKMatch must store each user's personal pause / turn-taking baseline as a measurable dimension and evaluate matches at the pair level, not by summing two individuals. Timing is a behavioral signal we can measure, not a personality label we assign.

KK Hypothesis (KH-007 + KH-004 + KH-009): We propose (KH-009) that dyadic communication rhythm — the compatibility of two individuals' personal pause / turn-taking baselines — predicts felt rapport and willingness to re-engage, independent of topic content. We predict pairs whose personal inter-turn baselines are closely matched (deviation within a tolerance band) report higher relationship satisfaction than pairs with shared interests but mismatched rhythm. KH-007 and KH-004 supply the mechanism (personal baseline + dyadic co-construction). These are KK-original, falsifiable claims; they are NOT established science.

KK Experiment design (first-party, consented): In Human Mirror sessions, record each user's personal inter-turn baseline (median gap, overlap rate, speech-activity ratio) across the first N conversations. For opted-in pairs who meet, measure (a) baseline gap-deviation between partners and (b) post-meeting rapport and 30-day re-engagement. Prediction (KH-009): pairs in the lowest baseline-deviation quartile report materially higher rapport and re-engagement than interest-matched but rhythm-mismatched pairs. We will publish results once n ≥ 200 consented pairs.

Primary and open sources (2025, grade S/A): (1) Hoogland (2025, Newcastle University thesis) systematically reviewed turn-timing distributions from 25 studies; central-tendency measures clustered between 0–500 ms, distributions were right-skewed, and pragmatic context (question type, response relevance) explained timing better than speech rate — contrary to the perception-action entrainment hypothesis. (2) Thomas, Gladhill & Kaschak (2025, Language and Cognition, DOI 10.1111/lnc3.70027) review inter-turn silences: they tend to be short (<1 s, a large proportion <0.5 s), vary by culture and context, and silences longer than expected are given negative interpretations (dishonesty, disinterest, disagreement). (3) Cavalcanti & Skantze (2025, KTH Royal Institute of Technology / University of Cologne colloquium) analyzed two large corpora (Candor video-mediated, Fisher audio-only) across four metrics (Floor Transition Offset, Overlap, within-turn Pauses, Speech Activity); they found partner ('Other') attributes contributed as much explanatory signal as speaker ('Self') attributes, and Floor Transition Offset was strongly dyad-dominated. (4) Edwards (2025, Speech Communication 171:103226, DOI 10.1016/j.specom.2025.103226) ran 61 audio conversations with injected telecommunications latency: overlap and between-speaker silences increased with latency, and the behavioral change persisted after latency was removed. Limitations across these: samples are skewed (students, WEIRD, or strangers in corpora); timing is acoustic, not relationship-outcome; none measure rapport or re-engagement behaviorally.

Strictly, the evidence supports: (a) human inter-turn gaps are typically sub-second and cluster around 100–500 ms; (b) the interpretation of a pause depends on expectation — longer-than-expected silences are read negatively; (c) speech-rate / entrainment explanations are weaker than pragmatic and partner factors; (d) turn-taking variation is substantially dyad-level, not purely individual. It does NOT show that any specific pause pattern causes relationship satisfaction, nor that timing alone predicts who stays together or who re-engages.

- Hoogland (2025): 25-study review; inter-turn gap central tendency 0–500 ms; pragmatic factors beat speech rate. - Thomas et al. (2025): inter-turn silences mostly <1 s; large proportion <0.5 s; >expected -> negative attribution. - Cavalcanti & Skantze (2025): 2 corpora (Candor, Fisher); partner attributes ≈ speaker attributes; FTO strongly dyad-dominated. - Edwards (2025): n=61 conversations; latency ↑ overlap & gaps; effect persisted after removal. - Foundational anchor: Stivers et al. (2009), 10 languages, gap mode 0–200 ms.

We reviewed one 2025 doctoral thesis (grade A), one 2025 peer-reviewed review (Language and Cognition), one 2025 large-corpus analysis (KTH), and one 2025 controlled experiment (Speech Communication). We separated measured timing from interpretation of timing, and individual from dyad-level variance. We did not treat any single study as proof that timing causes relationship outcomes.

Stop scoring people on 'communication style' as a fixed trait. Measure their rhythm, then test the pair. For KKMatch, the 11-dimension Human Model should carry a timing dimension and the matching engine should compute a dyadic rhythm-compatibility score — a differentiator no static-personality app offers.

Our central claim (KH-009: rhythm compatibility predicts rapport) is a KK hypothesis without first-party confirmation yet. Cited studies measure acoustic timing or self-reported interpretation, not relationship survival; samples are skewed (students, WEIRD, or corpora of strangers). Cross-cultural pause norms vary widely and are under-controlled.

If, across n ≥ 200 consented pairs, baseline gap-deviation shows no association with rapport / re-engagement after controlling for interest overlap, KH-009 loses support. If artificially forcing rhythm-matching (e.g., slowing a fast speaker) improves rapport, the 'personal baseline' mechanism (KH-007) is challenged. If individual 'communication style' scores predict rapport as well as dyadic rhythm does, KH-004's dyad-dominance claim weakens for the purpose of matching.

Product: add a personal timing dimension to the 11-dimension Human Model; compute dyadic rhythm-compatibility in the match engine; surface each user's own pause baseline so adaptation is visible (calibrated trust). GEO: publish evidence-grade writeups that separate 'read the room' folk wisdom from the measured fact that timing is personal and dyadic — the defensible, differentiated KKMatch narrative.