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Channel

箐恩台灣北部妹妹頻道➕大G:qq771

@g1182781

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

50subscribers

+9 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003888311007
TypeChannel
Username@g1182781
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live24 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/g1182781

Growth

415045.58 August 2026 — 41 subscribers9 August 2026 — 43 subscribers10 August 2026 — 43 subscribers17 August 2026 — 49 subscribers24 August 2026 — 50 subscribers8 August 202624 August 2026
5 measurements spanning 16 days, net +9. 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 40–51 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 22:2850+1
17 Aug 2026, 12:0749+6
10 Aug 2026, 16:3143no change
9 Aug 2026, 07:1343+2
8 Aug 2026, 12:1741first reading

Engagement

11 posts held, back to 5 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
18.4%
avg views ÷ 50 subscribers
Avg views / post
9.2
11 posts measured
Reaction rate
10.3%
reactions ÷ views · ER floor
Posts in window
11
of 11 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. It is computed over the 4 of 11 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held11 (5 August 202610 August 2026)
Views total101
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 16:31 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.

Reaction mix

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰4100.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 4 of the 11 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 5 August 2026 to 10 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

10 Aug 2026, 09:38 UTC4 viewsread 10 August 2026

約妹送福利 性福有折扣👇🌸 ✅活動1 :消費立減 💚5k以內:立減500 💚10k內 :立減1k-2k 💚10k以上:立減3k-5k ✅活動2 :買二送二 🐸北部 :消費滿7k,買二送二 🐸中南部:消費滿6k,買二送二 ✅活動3:單節超過 🐰消費滿6k : 贈送7k抵用券 🐰消費滿10k:贈送12k抵用券 🐰消費滿20k:贈送15k抵用券 🐰消費滿30k:贈送18k抵用券 ✅活動4:包夜禮品 💚消費達到6w以上 :贈送同等女友服務時間 🌼消費達到12w以上:贈送神秘大禮包 🌱只要包夜即可贈送:本次活動的所有福利 🍀箐恩茶坊⭐️聯絡方式🍀 🌱LINE:yy78952 🌱TG密箐恩:@qq771q 🌱Gleezy:qq771

Signed 箐恩🍵 努力賣茶~

9 Aug 2026, 04:45 UTC12 viewsread 10 August 2026
Photo

貝塔 168cm Dcup 50kg 25歲 #雙北 #特價16200一節 XX航空空姐 空姐制服下的致命曲線飛行間隙的私密誘惑 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 ❤️————--✿——————❤️ 【大奶媛交】【真實客評】 【茶坊新手】【貼圖頻道】 【箐恩心情】【熱門A片】 【北部喝茶】【中部喝茶】 【南部喝茶】【每日更新】 【喝茶總部】【Gleezy必進】 一鍵加入箐恩茶坊懶人包👇 https://t.me/addlist/ZN3iSYVkU642YWZl

Signed 箐恩🍵 努力賣茶~

9 Aug 2026, 04:45 UTC15 viewsread 10 August 2026
Photo

草莓 156 C 42kg 19歲 你期待的小隻馬系列來啦 青春嫩白 這隻很純 單然不是單純的純 純騷純色 無懈可擊!!出水嫩鮑 超緊der!!專業抬起來幹最對味!! 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 ❤️————--✿——————❤️ 【大奶媛交】【真實客評】 【茶坊新手】【貼圖頻道】 【箐恩心情】【熱門A片】 【北部喝茶】【中部喝茶】 【南部喝茶】【每日更新】 【喝茶總部】【Gleezy必進】 一鍵加入箐恩茶坊懶人包👇 https://t.me/addlist/ZN3iSYVkU642YWZl

Signed 箐恩🍵 努力賣茶~

8 Aug 2026, 05:26 UTC3 viewsread 10 August 2026
Forwarded from @qq7171Photo

🌟之後更新全部放這邊囖~ 🌟TG主頻道:https://t.me/+ZyxTbuLw-Sg5Y2Rh 🌟Gleezy主頻道:https://c.gleezy.top/ZOet8mTq 頻道聯🍃盟總部:https://t.me/qq7171 🤩北部頻道:https://t.me/g1182781 🤩中部頻道:https://t.me/tw8364 🤩南部頻道:https://t.me/f1182782 大奶🤗爆乳:https://t.me/q1q171 新手✔️頻道:https://t.me/w118278 客評🤗頻道:https://t.me/qq1711q 🤩心情頻道:https://t.me/tw3690 🤩A片頻道:https://t.me/qin113 🤩貼圖頻道:https://t.me/qq7q17 箐恩聯絡🌟方式都放這邊囖~ 🌟Gleezy:qq771 https://gleezy.net/g118278 LI

Signed 箐恩🍵 努力賣茶~

8 Aug 2026, 04:28 UTC13 viewsread 10 August 2026
Photo

👼週末限時特價👼 詩詩 163.E.26.50kg 🏃‍♀️ #雙北推薦 內衣模特 溫柔貼心 真奶高顏值 心動特價:8000 限制:不能使用套餐活動 只能選擇福利下次使用 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 ❤️————--✿——————❤️ 【大奶媛交】【真實客評】 【茶坊新手】【貼圖頻道】 【箐恩心情】【熱門A片】 【北部喝茶】【中部喝茶】 【南部喝茶】【每日更新】 【喝茶總部】【Gleezy必進】 一鍵加入箐恩茶坊懶人包👇 https://t.me/addlist/ZN3iSYVkU642YWZl

Signed 箐恩🍵 努力賣茶~

6 Aug 2026, 10:49 UTC6 viewsread 10 August 2026

Posted without readable text

Signed 箐恩🍵 努力賣茶~

6 Aug 2026, 07:52 UTC9 views1 reactionsread 10 August 2026
Photo

寶妮 155 B 42 18歲 可愛學生 膚白 無刺青 服務不限制 可調教 下面緊緻 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 https://c.gleezy.top/ZOet8mTq

🥰1

Signed 箐恩🍵 努力賣茶~

6 Aug 2026, 07:52 UTC10 views1 reactionsread 10 August 2026
Photo

子怡 162cm.C奶.46kg.20歲 反差超大 看起來乖乖的小女孩 清純年輕 膚白纖細 溫柔 不做作 不囉唆 超會撒嬌 聲音又很甜 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 https://c.gleezy.top/ZOet8mTq

🥰1

Signed 箐恩🍵 努力賣茶~

6 Aug 2026, 07:52 UTC9 viewsread 10 August 2026
Photo

多莉 167cm.E奶.48kg.23歲 #一線鮑魚 穴緊水多 鮮嫩粉 清純耐看外貌 骨感身材大奶妹🥰 熱情女友互動征服了幾位試車的哥哥 活潑愛笑 相處起來完全沒有壓力😍 超好配合還有按摩、還會射後吸哦 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 https://c.gleezy.top/ZOet8mTq

Signed 箐恩🍵 努力賣茶~

5 Aug 2026, 05:01 UTC9 views1 reactionsread 10 August 2026
Photo

優璇 168cm C奶 48kg 25歲 高挑氣質的長腿美女修長身形 比例優越 身材線條流暢 皮膚細緻白皙 散發溫柔舒服的氣息喜歡慢慢互動 細膩感受每一個觸碰與反應 反差感很強 尤其是那雙腿 筆直纖長 誘人又極具視覺衝擊力 個性溫柔體貼 服務注重情調與舒適感 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 https://c.gleezy.top/ZOet8mTq

🥰1

Signed 箐恩🍵 努力賣茶~

5 Aug 2026, 05:01 UTC11 views1 reactionsread 10 August 2026
Photo

夏涵 166cm C+奶 48kg 23歲 簡介:高挑苗條模特兒身材 腿長腰細整体比例接近模特兒胸部 自然C+氣質優雅乾淨個性沉穩聊天品質高 服務偏高端陪伴適合約會吃飯 聊天談心 之後再提供舒服的全套服務 節奏慢而細膩 情緒價值拉 🤙聯絡箐恩喝茶方式~ TG密箐恩🌟 @qq771q @qq7711 🌟LINE直密 yy78952 🌟Gleezy約會 qq771 https://c.gleezy.top/ZOet8mTq

🥰1

Signed 箐恩🍵 努力賣茶~

Showing the 11 most recent of 11 posts we hold for @g1182781. 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 — 328,081 of 1,628,524entries 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 7 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.

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“箐恩台灣北部妹妹頻道➕大G:qq771” (@g1182781), 50 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/g1182781.

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.