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Channel

台灣【貓貓茶屋】台中推薦

@lanmaozhonbu

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

3,452subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001902455336
TypeChannel
Username@lanmaozhonbu
CreatedBetween 1 March 2023 and 31 January 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live23 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/lanmaozhonbu

Growth

3,4513,4653,4587 August 2026 — 3,451 subscribers7 August 2026 — 3,451 subscribers10 August 2026 — 3,458 subscribers14 August 2026 — 3,460 subscribers17 August 2026 — 3,465 subscribers20 August 2026 — 3,456 subscribers23 August 2026 — 3,452 subscribers3,4527 August 202623 August 2026
7 measurements spanning 16 days, net +1. 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 3,449–3,467 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 13:033,452-4
20 Aug 2026, 10:033,456-9
17 Aug 2026, 15:553,465+5
14 Aug 2026, 05:173,460+2
10 Aug 2026, 19:123,458+7
7 Aug 2026, 13:433,451no change
7 Aug 2026, 02:463,451first reading

Engagement

14 posts held, back to 2 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.04%
avg views ÷ 3,452 subscribers
Avg views / post
105
14 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
14
of 14 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 held14 (2 August 20267 August 2026)
Views total1,467
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:13 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, 06:14 UTC58 viewsread 7 August 2026
Video

💖 七夕限定|甜蜜相遇・心動開啟 💖 📅 活動時間:8/8-8/22 一年只有一次七夕 這次藍貓直接把福利拉滿🔥 不管你是想試新人、找老點 還是單純想找個人陪你度過七夕 這次都幫大家準備好了。 活動期間預約即可享有七夕限定優惠, 錯過就真的要等明年啦! ✨ 特價名單買一送一,為愛助攻! ✨ ━━━━━━━━━━━━━━ 🎁 七夕限定福利 💝 福利一|約二送一 預約 兩節送一節 再加送 6666 元優惠券! 💝 福利二|七夕限定 77 折 指定名單限時 77 折優惠 一年就這一次 💝 福利三|單節 88 折 活動期間單節直接享 88 折優惠 還可以 折上再享買二送一! 💝 福利四|尊榮加碼 單節消費 20K 以上享 半價優惠再折 1,000 元 💝 福利五|7700 七夕戀愛盲盒 不知道怎麼挑妹妹? 交給藍貓就對了 7700 元盲盒 隨機安排不同風格女孩 甜妹、學生、氣質、姐姐、小隻馬…都有機會遇見 每一次開箱 都是

5 Aug 2026, 17:35 UTC123 viewsread 7 August 2026

⭐貓貓茶屋|Gleezy總整理⭐ 【請加入Gleezy群組看更多資料】 ⭐全台資訊:https://c.gleezy.top/dNeinjHt ⭐北部資訊:https://c.gleezy.top/BB11 ⭐中部資訊:https://c.gleezy.top/ZB11 ⭐南部資訊:https://c.gleezy.top/NB11 ⭐熟女資訊:https://c.gleezy.top/SN11 ⭐新手必看:https://t.gleezy.top/FmZL40CA ━━━━━━━━━━━━ 名單每日更新 歡迎隨時查看最新資訊 ━━━━━━━━━━━━ 貓貓茶屋論壇官網 ▶️ https://www.brusket.com

4 Aug 2026, 07:13 UTC205 viewsread 7 August 2026
Photo

芯芮 160-46-D-20歲 #台中 16000 三節45k 20歲年輕肉體,滿臉膠原蛋白皮膚嫩到捏得出水 160標準身高體重46,身材勻稱腰細屁股翹 D奶在她身上顯得很飽滿,穿貼身T恤曲線一覽無遺 長相清純學生系,穿制服來找你超有感覺 床上比較害羞但很聽話,你說的每一句她都乖乖照做 叫聲小小的很真實,不是裝出來的那種 小穴又緊又嫩水又多,年輕肉體真的讚 🌐LINE ID:4428166 ⭐Gleezy ID:ma8586 🌐TG預約:@twmao & @mma8586 🌐選妹頻道:@twma88 🔗官網: www.brusket.com 『外約旅館🎁現金交易』 ✅ 拿第一手妹妹資訊選擇藍貓🎉 ✅ 喜歡記得私密藍貓瞭解更多哦🎉

4 Aug 2026, 07:12 UTC148 viewsread 7 August 2026
Forwarded from @twma88Photo

見到直接兩節拿下😘😘

4 Aug 2026, 07:12 UTC114 viewsread 7 August 2026
Forwarded from @twma88Photo

淑惠 161-55-D-30歲 #台中 5000 單親媽媽,一個人養小孩很辛苦 但身材還是維持得很好 D罩杯真奶軟嫩手感好 服務很認真不偷懶 為了小孩她很努力賺錢 🌐LINE ID:4428166 ⭐Gleezy ID:ma8586 🌐TG預約:@twmao 🌐選妹頻道:@twma88 🔗官網: www.brusket.com 『外約旅館🎁現金交易』 ✅ 拿第一手妹妹資訊選擇藍貓🎉 ✅ 喜歡記得私密藍貓瞭解更多哦🎉

4 Aug 2026, 07:11 UTC103 viewsread 7 August 2026
Forwarded from @twma88Photo

沛曦 167-50-C-22歲 #台中 16000 167身高腿長屁股翹,穿牛仔褲就很辣 C罩杯胸型飽滿,側面線條很漂亮 腰很細有馬甲線,應該有在練核心 長相氣質型有點像混血兒 床上很會扭,騎乘位可以搖很久不會累 🌐LINE ID:4428166 ⭐Gleezy ID:ma8586 🌐TG預約:@twmao 🌐選妹頻道:@twma88 🔗官網: www.brusket.com 『外約旅館🎁現金交易』 ✅ 拿第一手妹妹資訊選擇藍貓🎉 ✅ 喜歡記得私密藍貓瞭解更多哦🎉

4 Aug 2026, 06:38 UTC124 viewsread 7 August 2026
Photo

墨纓 166-46-C-25歲 #台中 8000 一節 三節24k 刺青師兼職出來玩 身上刺青都是自己設計的 腰間到肋骨一整片水墨風刺青 超有質感 骨感身材配上藝術感刺青 像一幅會動的畫 C奶胸型漂亮 乳頭顏色很粉 🌐LINE ID:4428166 ⭐Gleezy ID:ma8586 🌐TG預約:@twmao 🌐選妹頻道:@twma88 🔗官網: www.brusket.com 『外約旅館🎁現金交易』 ✅ 拿第一手妹妹資訊選擇藍貓🎉 ✅ 喜歡記得私密藍貓瞭解更多哦🎉

3 Aug 2026, 02:38 UTC155 viewsread 7 August 2026
Photo

曉婷 162-49-D-22歲 #台中 8000 剛畢業新鮮人,還在摸索人生方向 但已經摸索出怎麼讓你舒服 身材纖細臉蛋年輕有膠原蛋白滿滿 服務雖然不是最熟練但很認真 年輕肉體就是最大的本錢 🌐LINE ID:4428166 ⭐Gleezy ID:ma8586 🌐TG預約:@twmao 🌐選妹頻道:@twma88 🔗官網: www.brusket.com 『外約旅館🎁現金交易』 ✅ 拿第一手妹妹資訊選擇藍貓🎉 ✅ 喜歡記得私密藍貓瞭解更多哦🎉

Showing the 12 most recent of 14 posts we hold for @lanmaozhonbu. 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 — 513,372 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“台灣【貓貓茶屋】台中推薦” (@lanmaozhonbu), 3,452 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/lanmaozhonbu.

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.