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Channel

老口碑茶店 茉莉Gleezy:mlc882

@yoke369

On this record: Growth · Engagement · Posts · Citations · Cite this entry

658subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002898146677
TypeChannel
Username@yoke369
CreatedBetween 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live23 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/yoke369

Growth

653658655.57 August 2026 — 653 subscribers8 August 2026 — 653 subscribers16 August 2026 — 656 subscribers23 August 2026 — 658 subscribers7 August 202623 August 2026
4 measurements spanning 15 days, net +5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 652–659 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 00:56658+2
16 Aug 2026, 09:03656+3
8 Aug 2026, 02:46653no change
7 Aug 2026, 17:11653first reading

Engagement

10 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.75%
avg views ÷ 658 subscribers
Avg views / post
24.7
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 10 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held10 (4 August 20267 August 2026)
Views total247
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Recent posts

7 Aug 2026, 05:51 UTC23 viewsread 8 August 2026
Photo

台北人妻 $4500 小茹 161.47.E.32y 見面先互相輕吻愛撫 慢慢脫衣舔弄敏感 口交舌吻加上胸推 再進入正常後入騎乘 可換姿勢抱操到高潮 #無套加1000 全程自然親密不趕時間

6 Aug 2026, 06:20 UTC25 viewsread 8 August 2026
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小桃 161.48.F.22y 爆乳乖乖女 甜美女僕 溫柔撒嬌 聽話好配合 可深喉

6 Aug 2026, 06:18 UTC25 viewsread 8 August 2026
Photo

小柔 156.43.C.20y 可愛乖乖女 學生妹 溫柔聊天 撒嬌聽話 好配合

5 Aug 2026, 06:26 UTC32 viewsread 8 August 2026
Photo

小語162.47.D.22歲 身材均勻的小女人 抱起來軟嫩有彈性 腰肢剛好一手掌握 整體勻稱超有感覺 被抱在懷裡時身體完全放軟 像別人女友一樣輕輕反抗又順從 含住前端時眼神閃躲卻捨不得停 騎乘時勻稱腰肢慢慢磨到最深 後入時雙手撐著輕聲求饒卻往後送 火車便當被抱起雙腿緊纏不放 親密時低聲說這是別人的卻更用力夾緊

5 Aug 2026, 06:23 UTC27 viewsread 8 August 2026
Photo

糖糖156.44.C.21歲 可愛實習幼稚園老師 圓潤大眼笑起來甜 聲音軟萌語氣溫柔 身材嬌小柔軟有腰 用軟萌聲音輕輕撒嬌引導 小手溫柔握住前後套弄 含住時眼神往上看慢吞吞吐 騎乘時小小身體輕輕上下晃 後入時軟軟腰肢主動往後送 被抱起時雙腿緊緊夾住不放 親密時像撒嬌一樣低聲哼吟

5 Aug 2026, 06:19 UTC22 viewsread 8 August 2026
Photo

雪兒162.45.C.21歲 冷白皮漂亮女生 肌膚白皙透亮 五官精緻清冷 身材纖細有腰線 用冰涼手指輕輕撫過身體 嘴唇貼上時帶來清冷觸感 含住前端緩慢吞吐仔細舔弄 騎乘時白皙腰肢上下起伏 後入時冷白皮背部完全展現 火車便當被抱起雙腿緊緊纏住 親密時低聲喘息更顯清冷氣質

5 Aug 2026, 05:57 UTC20 viewsread 8 August 2026
Photo

嬌嬌 166.46.C+.23y 高挑勻稱有曲線 胸部豐滿腰細 腿部修長有力 用豐滿胸部夾住上下滑動 69時主動含入並扭腰回應 後入時雙手撐床用力往後送 火車便當被抱起時雙腿緊纏 站立時單腳抬起方便深入 角色扮演中變換語氣與表情 更多看妃茶單 https://c.gleezy.top/mlc882

5 Aug 2026, 05:41 UTC21 viewsread 8 August 2026
Photo

蕊蕊 160.45.C.19y 纖細骨感女生 腰身纖細有線條 腹部有馬甲線 整體輕盈乾淨 口交 69 後背式 火車便當 正常位 騎乘位 側入 站立式 親密照顧 更多看妃茶單 https://c.gleezy.top/mlc882

4 Aug 2026, 06:21 UTC31 viewsread 8 August 2026
Photo

21歲 昕昕 條件 160.45.D.24y 別人女友感覺溫柔聽話 做愛過程會輕聲問你好不好 D杯柔軟讓人隨意揉捏吸吮 口技細心又溫順會含到底 當你蹂躪撫摸她會害羞夾緊 騎乘位輕輕扭腰看著你撒嬌 後入時會主動翹臀配合節奏 被弄深會發出軟軟喘息聲 全身敏感卻乖巧任你擺布 結束後還會依偎過來輕聲問滿不滿意

Showing the 10 most recent of 10 posts we hold for @yoke369. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 1,345,167 of 1,584,733entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 23 August 2026 — this entry's latest reading, not the date you are reading this.

“老口碑茶店 茉莉Gleezy:mlc882” (@yoke369), 658 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/yoke369.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.