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Channel

翠兰(Cui Lan)-频道付费广告100U/条

@cuilan1

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

22,683subscribers

+434 since we began measuring on 14 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003956343252
TypeChannel
Username@cuilan1
CreatedBetween 1 April 2026 and 21 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live30 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/cuilan1

Growth

22,24922,73122,49014 August 2026 — 22,249 subscribers14 August 2026 — 22,249 subscribers15 August 2026 — 22,266 subscribers17 August 2026 — 22,277 subscribers18 August 2026 — 22,521 subscribers19 August 2026 — 22,600 subscribers20 August 2026 — 22,612 subscribers21 August 2026 — 22,619 subscribers22 August 2026 — 22,634 subscribers24 August 2026 — 22,719 subscribers25 August 2026 — 22,731 subscribers26 August 2026 — 22,710 subscribers27 August 2026 — 22,722 subscribers28 August 2026 — 22,714 subscribers29 August 2026 — 22,695 subscribers30 August 2026 — 22,683 subscribers22,68314 August 202630 August 2026
16 measurements spanning 16 days, net +434. 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 22,177–22,803 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 11:0422,683-12
29 Aug 2026, 12:3822,695-19
28 Aug 2026, 13:0822,714-8
27 Aug 2026, 16:1722,722+12
26 Aug 2026, 13:5422,710-21
25 Aug 2026, 10:4322,731+12
24 Aug 2026, 09:5422,719+85
22 Aug 2026, 18:4722,634+15
21 Aug 2026, 10:2722,619+7
20 Aug 2026, 08:2722,612+12
19 Aug 2026, 08:1222,600+79
18 Aug 2026, 09:1222,521+244
17 Aug 2026, 09:3322,277+11
15 Aug 2026, 20:2522,266+17
14 Aug 2026, 19:1522,249no change
14 Aug 2026, 19:0322,249first reading

Engagement

28 posts held, back to 21 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 31 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.5%
avg views ÷ 22,683 subscribers
Avg views / post
5,090
16 posts measured
Reaction rate
0.008%
reactions ÷ views · ER floor
Posts in window
16
of 28 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 2 of 16 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 30 August 2026
Posts held28 (21 July 202630 August 2026)
Views total81,500
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Aug 2026, 10:00 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 3 of the 28 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 21 July 2026 to 30 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

30 Aug 2026, 08:26 UTC≈3,890 viewsread 30 August 2026

👊👊👊👊 🥰专业假粉数据,全网的天花板 🥰 补量4, 下载12, 充值70, 二充本金+150 一条龙服务9 🥰真人真机,一机一ip 🥰24小时在线接单, 联系人: @Xxing16688 关注频道不迷路: https://t.me/Xxingjiafen 已发布供需次数2

28 Aug 2026, 11:05 UTC≈5,700 viewsread 30 August 2026

👊👊👊👊 🥰专业假粉数据,全网的天花板 🥰 补量4, 下载12, 充值70, 二充本金+150 一条龙服务9 🥰真人真机,一机一ip 🥰24小时在线接单, 联系人: @Xxing1688 关注频道不迷路: https://t.me/Xxingjiafen

27 Aug 2026, 04:32 UTC≈4,610 viewsread 30 August 2026

👊👊👊👊 正常开工😄粉中 收一切平台色粉 上码 上Q群 😃定😃全网一切👍👍😀上码上Q群 对接快😀😃😃 😀一切类型平台👍👍打码/打Q群 一切市面上可见的大中小平台均收 日收二十万量 每日大量位置 排单不墨迹 包含但不限于😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😃😀😀😃😀😃😀😃😀😃任何平台不限制 是色粉就来 见都没见过的平台也收 🤩🤩🤩🤩 😄😃😄😃😄😀😄😃😄 从事收粉行业已有八年之久 想拿着垃圾粉来要高价的自行斟酌好再报价避免被骂 出粉联系:✅ @lsdr888😀😀😀😃 https://t.me/+xclCB3XFICo0NjI0

21 Aug 2026, 06:15 UTC≈4,140 viewsread 30 August 2026

👊👊👊👊 天马补量所有渠道 扫码1.5 下载8 充值70 可24小时做炮台cpa下载量 可按OP数据图结算cpa下载🥰🥰 @anan_2023 已累计发布次数1

19 Aug 2026, 19:01 UTC≈4,960 viewsread 30 August 2026

👊👊👊👊 不限渠道姿势来冲! 不限渠道姿势来冲! 不限渠道姿势来冲! 👍👍👍👍👍👍 真粉无限包养! 数据好坏不论! 盘口清,叁木补粉! 盘口扣,叁木补粉! (24卡密)(2-2卡密) (12-4卡密)(隔夜卡密) 微信码 浏览器 q群 q群 码子 随来随开! 出粉请认识 叁木 @smu688 👍👍👍 防诈卡密? 你来就有? 已累计发布次数1

19 Aug 2026, 17:27 UTC≈5,230 viewsread 30 August 2026

👊👊👊👊 项目名称:收色粉 项目介绍:真粉包结 供应内容:单价置顶 价格: 联系人: @laoyao677 频道/群聊: 已累计发布次数1

17 Aug 2026, 21:08 UTC≈4,510 viewsread 30 August 2026

新开!翠兰66公群已上压500U(天下不及一人)

15 Aug 2026, 15:48 UTC≈5,000 viewsread 30 August 2026

👊👊👊👊 项目名称:盘口直收色粉上天马 项目介绍:高价收一切产值色粉上天码 价格:单价拉满 欢迎工作室对接 抖音自热V头转 浏览器转 公众号转 抖音热评 抖音协议点赞 抖音橱窗 抖音粉丝群,自热,点赞,热评,直播,语音厅 小红书全系列,Q站街,微站街 陌陌拉群,陌陌语音厅,陌陌动态 灵魂动态 探探动态 积木 楼凤 王者 无畏 金铲铲等游戏粉 带着完整记录跳槽的+2,千量再+1,统统包结算,有产值一切你说了算 一手工作室/靠谱中介来谈,单价置顶,新工作室也可来测 联系人:@DB1231122 频道: https://t.me/DB12311223344 已累计发布次数5

13 Aug 2026, 17:54 UTC≈3,630 viewsread 30 August 2026

👊👊👊👊 😍24小时上量 做数据😍 ⚡️⚡️⚡️专业的事情让专业的人干 😍数据全部真机精聊😍 下载图充值图全部留好 放心来 ip 不重复 上量4 下载12 首充70 2充本金+150 一条龙包过9 联系人: @qiqiqiqi77777777777 关注频道不迷路: https://t.me/qiqiqiqi777777777777 已累计发布次数1

11 Aug 2026, 14:58 UTC≈5,570 viewsread 30 August 2026

新开公群送专属8个协议号, 全天24小时在各大粉圈群里引流

8 Aug 2026, 11:37 UTC≈3,660 viewsread 30 August 2026

👊👊👊👊 项目名称 : 共赢集团-直营收贷款粉 UV量,UV贷款粉,UV大数据,UV截流,劫持,信息流贷款粉,贷超量,站点劫持贷款粉,租机,平台开户广告量。企微主体代接团队。 优 势:公群已上压 价格高,需求量大 对接方式/对接人:@ATan99 公群链接:https://t.me/+b67KCt-yHcs2NTk1 频道:https://t.me/GY889518 发布人:大探(收贷款粉) 已累计发布次数10

Showing the 12 most recent of 28 posts we hold for @cuilan1. 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.

Mentions

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

“翠兰(Cui Lan)-频道付费广告100U/条” (@cuilan1), 22,683 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/cuilan1.

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.