Telegram RegisterThe public register of Telegram

Channel

杭州💎橙橙茶馆

@chenchenchaguan1

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

5,134subscribers

+157 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003903426553
TypeChannel
Username@chenchenchaguan1
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/chenchenchaguan1

Growth

4,9775,1345,055.56 August 2026 — 4,977 subscribers6 August 2026 — 4,977 subscribers7 August 2026 — 4,984 subscribers10 August 2026 — 5,049 subscribers13 August 2026 — 5,134 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +157. 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 4,953–5,158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:365,134+85
10 Aug 2026, 02:525,049+65
7 Aug 2026, 03:274,984+7
6 Aug 2026, 20:454,977no change
6 Aug 2026, 20:344,977first reading

Engagement

27 posts held, back to 6 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.87%
avg views ÷ 5,134 subscribers
Avg views / post
95.8
27 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
27
of 27 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 1 of 27 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 12 August 2026
Posts held27 (6 August 202612 August 2026)
Views total2,587
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:53 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.

What this channel posts

Video runtime
2m 41s
Average length
8s

Measured directly from 19 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

12 Aug 2026, 04:29 UTC17 viewsread 12 August 2026
Forwarded from @chenchenfankuiPhoto

#杭州 #上城 #可蛇纹69 #可🈚套 #可拍视频不露脸可3p #可外出 #小爵爷 🥓安排 @su6357069 🥓私信限制联系 @su6357069bot 🥓水费800p 🈚+300

12 Aug 2026, 04:04 UTC44 viewsread 12 August 2026
Video

👑全国认证高端外围可上门-橙橙👑 💻【安排】 @su6357069 🤚【双向】 @su6357069bot 🗝【频道】 @chenchenchaguan1 📇【群组】 @chenchenjiaoliuqun 🧐 🎆 全国嫩茶 🎆 💵 全杭覆盖700-3000各种类型 🎉全国一二线城市大圈活动价2500p,定期抽奖活动! 🎉 频道只做部分分享 具体需求可以咨询客服 ,给你推荐让你满意的 😀全杭最全资源 最靠谱的中高端外围😀

11 Aug 2026, 10:49 UTC332 viewsread 12 August 2026
Photo

🎰 中大圈橙橙传媒 @su6357069 福利抽奖 📮 抽奖条件: 🎫 加入-杭州💎橙橙茶馆 🎫 加入-杭州💎橙橙茶馆群 🎫 加入-杭州Alex的大奶认证榜单 🎫 加入-杭州Alex教你123 🎫 加入-杭州Alex的小视频 🎫 加入-杭州Alex的大奶新人榜单 🎫 加入-Alex的小视频群2.0 🎁 奖品内容: 大圈优惠劵200 × 3 中圈优惠劵100 × 3 💡 活动说明: 5天内兑奖,炸号超时名额作废 📅 开奖日期:(UTC+8) 2026年08月16日 18时48分12秒

11 Aug 2026, 10:36 UTC196 viewsread 12 August 2026
Photo

#杭州 #刚下水兼职 #上门 #SW #ZF #🉑🚗🐍 #🉑夜 #露露 🥐安排 @su6357069 🥐私信限制联系 @su6357069bot 🥐水费 #1800p夜#5000

11 Aug 2026, 09:35 UTC226 viewsread 12 August 2026
Photo

#杭州 #拱墅区#174大长腿#乐乐 #微信小楼 🥓安排 @su6357069 🥓私信限制联系 @su6357069bot 🥓水费:p1200

8 Aug 2026, 17:25 UTC46 viewsread 9 August 2026
Photo

#杭州 #刚下水兼职 #上门 #SW #ZF #🉑🚗🐍 #🉑夜 #露露 🥐安排 @su6357069 🥐私信限制联系 @su6357069bot 🥐水费 #1800p夜#5000

8 Aug 2026, 12:17 UTC130 viewsread 9 August 2026

杭州 Alex 杭州 狼友之家 杭州 星巴克 杭州 一哥 四群同时上榜担保 信誉保证 放心安排

8 Aug 2026, 11:35 UTC125 viewsread 9 August 2026
Forwarded from @chenchenguanshiPhoto

#杭州 #滨江区1000以上 #滨江区极品莞服 #SW #KB #69 #赵云#cucu 🥐安排 @su6357069 🥐私信限制联系 @su6357069bot 🥐水费莞服16张/莞服两次23张💋

8 Aug 2026, 10:41 UTC150 viewsread 9 August 2026
Photo

#杭州 #滨江区1000以上 #滨江区极品莞服 #蝙蝠小丸子 #69 #SW #KAKA #KB #DL 🥐安排 @su6357069 🥐私信限制联系 @su6357069bot 🥐水费莞服16张/莞服两次23张💋

8 Aug 2026, 10:26 UTC83 viewsread 9 August 2026
Photo

韩国🇰🇷 身高1米75👆🏻体重48💃30D🐻22岁💯🉑全程韩文,英文沟通✅ 可配合项目:💋吻、🈚️T口、6️⃣9️⃣、🐻🏊、鸳鸯浴🛀🉑🈚套 已健检完成 保证健康✅ 🥓安排 @su6357069 🥓私信限制联系 @su6357069bot 🥓水费 #1400p #2200pp💋🈚套+200

8 Aug 2026, 10:15 UTC87 viewsread 8 August 2026
Photo

🎰 杭州💎橙橙茶馆 x 大D 福利大抽奖 📮 参与条件: 🎫 加入-杭州💎橙橙茶馆群 🎫 加入-杭州💎橙橙茶馆 🎫 加入-®𝘿𝙖𝙙𝙏𝙑(杭州、上海) 🎁 奖品内容: 💰️ 9.9红包 × 2 💰️ 中圈优惠券 200 × 3 💰️ 大圈优惠券 200 × 3 📅 开奖日期:(北京时间) 2026年08月13日 18时00分00秒

8 Aug 2026, 10:14 UTC29 viewsread 8 August 2026
Photo

👩‍🦰【艺名】: #柠柠🌸 📍【位置】: #上城区悦玺 💴【价格】:15001️⃣p 兼职短开3天 ☎️【联系】 @su6357069 ❤️【双向】 @su6357069bot ⚠️【提示】:#纯欲 #陪浴 #🐍吻 #互舔 #制服诱惑 #163cm #薯条🏠 #臀推 #🐻D #顶美#莞式

Showing the 12 most recent of 27 posts we hold for @chenchenchaguan1. 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 — 23,383 of 1,169,250entries 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

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 5 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“杭州💎橙橙茶馆” (@chenchenchaguan1), 5,134 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/chenchenchaguan1.

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.