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Channel

🍵頂級茶館Gleezy:mkyyds

@b88567

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

642subscribers

-10 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-1003276191567
TypeChannel
Username@b88567
CreatedBetween 1 October 2025 and 28 February 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live23 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/b88567

Growth

6426526477 August 2026 — 652 subscribers8 August 2026 — 652 subscribers8 August 2026 — 651 subscribers16 August 2026 — 646 subscribers23 August 2026 — 642 subscribers7 August 202623 August 2026
5 measurements spanning 16 days, net -10. 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 641–654 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 12:54642-4
16 Aug 2026, 22:23646-5
8 Aug 2026, 17:34651-1
8 Aug 2026, 02:46652no change
7 Aug 2026, 17:38652first reading

Engagement

10 posts held, back to 10 July 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
6.10%
avg views ÷ 642 subscribers
Avg views / post
39.2
6 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
6
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 5 August 2026
Posts held10 (10 July 20265 August 2026)
Views total235
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

5 Aug 2026, 06:02 UTC19 viewsread 8 August 2026

🦄#新貨 #新貨 #新貨🦄 🌸#世新大學 晴天 158-D-45-20歲 熱情主動 膽大 女友式服務 #可無套做 福利:第二節直接半價 送絲襪 🌸#真理大學 一沫 155-C-43-19歲 粉嫩穴可扣可吃 超級配合 福利:買三送一 送絲襪 🌸#實踐大學 含熙 160-E-46-22歲 童顏巨乳奶泡 口技讃 #可無套做 福利:買多節 加vip會員 🌸#淡江大學 戀心163-D-46-23歲 美腿,舞蹈系學生妹 姿勢多 #可無套吹 福利:第二節半價 送5k現金券 🌸#輔仁大學 白白 162-D-45-20歲 高挑嫵媚 前戲足 御姐的征服力 福利:買三送一 送半年免房費

28 Jul 2026, 07:35 UTC62 viewsread 8 August 2026
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☘️#臺中文華學生妹【剛畢業】 👧🏻雪狐 160 C+ 19歲 45kg 第一次試車:4000【送1000優惠券】 第二次試車:6000【送買二送一卡】 第三次試車:8000【送永久8.5折+節享受3p炮友】 ☘️#高雄瑞祥學生妹【剛畢業】 👧🏻香香 158 C+ 19歲 45kg 第一次試車:4000【送1000優惠券】 第二次試車:5000【送買二送一卡】 第三次試車:6000【送永久8.5折+節享受3p炮友】 ☘️#雙北幼華學生妹【剛畢業】 👧🏻果醬 158 C+ 19歲 45kg 第一次試車:5000【送1000優惠券】 第二次試車:6000【送買二送一卡】 第三次試車:8000【送永久8.5折+節享受3p炮友】

28 Jul 2026, 07:32 UTC47 viewsread 8 August 2026
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🎉#米可推薦白虎小蘿莉 小柔 145cm B 40kg 18歲 #白虎小蘿莉 濕潤的小穴等你來挑逗 屁股翹 床上更是很淫蕩 激情四射超 想被猛力的插入覺得很刺激很爽服務 淫蕩水多 叫聲好聽 白虎緊緻鮑魚搬開 超粉嫩 小隻馬可抱著幹幹幼齒蘿莉 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

28 Jul 2026, 07:27 UTC35 viewsread 8 August 2026
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❤️高襠茶特價 #限今晚凌晨2點前 全部統一價位:5000 全部統一價位:5000 全部統一價位:5000 #輔仁學生 口爆清槍 喜歡密我 #樹德學生 深喉嚨 69 口爆 喜歡密我 #逢甲學生 口爆 吞精 喜歡密我 #淫蕩空姐 想無套內射做喜歡密我 #高檔貨 Swag主播 全程無套顏射現約 💝現在預約成功贈送上圖福利 🍭Telegram: @k59421 🍭Gleezy: mkyyds

28 Jul 2026, 07:26 UTC36 viewsread 8 August 2026
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#無套騷騷貨趕快來幹 騷得要死 ❤️紅牌吳菲162 .48 .F 27歲 女人到了這個年齡性慾是最強的時候 前些年離婚了現在單身 一到晚上很寂寞空虛 想要被大屌滿足想要被大屌頂! 聽說 可以顏射口爆無套吹毒龍 還可以無套喔(想無套提前說喔) 價位不貴:私密我給你更多優惠 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

28 Jul 2026, 07:25 UTC36 viewsread 8 August 2026
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月底最後幾日 現約現領感興趣的哥哥 快密小米可參與福利領取喲😘 約妹私密: @k59421

10 Jul 2026, 03:08 UTC122 viewsread 8 August 2026
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千羽|167|D+|21歲 模特身材|氣場超強 高冷外表 私下卻很反差 會讓人越聊越上癮 私房菜 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

10 Jul 2026, 03:05 UTC102 viewsread 8 August 2026
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#美腿正妹 南汐 163cm 45kg C奶 24歲 淫蕩小惡魔出沒⚠️ 天然飽滿C+奶+超細誘人小蠻腰 一進門就讓人血壓飆升~互動超會撩 眼神跟動作都騷氣滿滿,敢玩又主動 美乳手感炸裂,真的一上就讓人欲罷不能 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

10 Jul 2026, 03:03 UTC77 viewsread 8 August 2026
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#長腿氣質CK模特 貝殼 165m・45kg・D奶・24歲 床上卻極度淫蕩身材纖細骨感 可足交摸摸、舔穴、69、舌吻、深喉 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

10 Jul 2026, 03:01 UTC60 viewsread 8 August 2026
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#氣質御姐舞蹈老師 芊穎 163m・45kg・C奶・24歲 身材緊實有馬甲線 柔韌性非常好 可以嘗試各種高難度姿勢非常的耐幹 🍭Telegram: @k59421 🍭Gleezy: mkyyds 💗淫蕩熟女: t.me/b5203 🎀可愛蘿莉: t.me/b5206 💗高定尤物: t.me/b5208 🎀奶水孕婦: t.me/b5209 💗爆乳色女: t.me/b8784 🔞A片影集 : t.me/s66618 #高雄外約 #臺南外約 #桃園外約 #竹北喝茶 #臺北喝茶 #新北無套 #淡江做愛 #林口龜山 #出差放鬆 #大奶尤物 #基隆約炮 #學生妹 #白虎 #空姐 #少婦 #台湾出差 #台湾找女人 #臺中學生

Showing the 10 most recent of 10 posts we hold for @b88567. 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 — 1,375,750 of 1,585,237entries 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.

“🍵頂級茶館Gleezy:mkyyds” (@b88567), 642 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/b88567.

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.