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Channel

向往的业务频道

@cuishouyewu

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

126subscribers

-2 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-1002181006566
TypeChannel
Username@cuishouyewu
Created18 June 2024measured — dated from the channel’s first post
First recorded9 August 2026
Last confirmed live29 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/cuishouyewu

Growth

1261281277 August 2026 — 128 subscribers9 August 2026 — 128 subscribers29 August 2026 — 126 subscribers7 August 202629 August 2026
3 measurements spanning 22 days, net -2. 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 126–128 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 21:43126-2
9 Aug 2026, 01:45128no change
7 Aug 2026, 13:42128first reading

Engagement

14 posts held, back to 18 June 2024the 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
33.3%
avg views ÷ 126 subscribers
Avg views / post
42.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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 5 August 2026
Posts held14 (18 June 20245 August 2026)
Views total42
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 01:45 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

8 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 37.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍337.5%
225.0%
🔥225.0%
🤡112.5%

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 6 of the 14 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 18 June 2024 to 5 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

5 Aug 2026, 13:23 UTC42 viewsread 9 August 2026

邮政恢复正常,价格最低4.5不议价,+💰可插队

31 Jul 2026, 08:05 UTC110 viewsread 9 August 2026

正常业务: 三网名下号(厅版电信➕厅版联通➕厅版移动)5块不议价,200起接预存走表。数据异常(DL出货率不足50%)按照6块收费。(暂停) 厅版移动 7.5(暂停) 厅版DL 06 支持埋雷 邮政快递 4.5(必须提供手机号) 湖南🐔文字➕图 3.5 安徽🐔文字3.5可出双方父母价格翻倍。 实时微绑不去空02/去空03 本人只接预存出单,不议价,源头直出诚招代理共同进步,也欢迎有志之士一起合作共同富裕,不画饼不吃饼,包售后

11 Jul 2026, 10:27 UTC266 viewsread 9 August 2026

邮政(工号直出,出单率高是因为两个不同岗位的工号反复手工查,随意埋雷,不出假货,不掺假货各位放心)现在非常堵非常慢,现在发表大概需要5天左右才能回,因为纯手工,能等得起得就发,等不了的不要发,明天开始上了车就退不了。

9 Jun 2026, 11:29 UTC347 viewsread 9 August 2026
Photo

兄弟们,由于VB脚本更新,身份证号那一列第一排必须添加必须添加“ZJHM”否则识别不出来,模板给到大家

16 May 2026, 01:46 UTC482 viewsread 9 August 2026
File

邮政出单率70%-80%,邮政(工号直出,出单率高是因为两个不同岗位的工号反复查,随意埋雷,不出假货,不掺假货,各位放心)遇到纠纷不清可以给调档。价格依旧4块,请各位知悉。

3 Nov 2025, 16:30 UTC≈1,330 viewsread 9 August 2026
File

现在推出文字(详情看频道最上方)➕图版湖南户籍(优先文字版本出不来的出图片)出单率99%价格不变依旧3块,这个价格只针对老代理,不接新代理不议价!密码asd123456.

26 Jun 2025, 05:52 UTC≈1,980 viewsread 9 August 2026
File

安徽户籍模板,出单概率99%。发现忘记发模板怕你们不知道我有。现在发一下

21 Dec 2024, 08:13 UTC≈1,620 views1 reactionsread 9 August 2026
File

邮政快递带时间版本,质保三个月内,工号直出,随意埋雷,200单起接,包售后,支持全图调档。

1

6 Dec 2024, 10:33 UTC≈1,620 views2 reactionsread 9 August 2026
File

厅版三网 (厅版移动➕厅版电信➕厅版联通)百分百名下全号,预存出单,不收散单,不议价,支持埋雷,单表低于200不接。

🔥2

10 Oct 2024, 11:22 UTC≈2,090 views1 reactionsread 9 August 2026
File

安徽🐔文字版全家桶,男女双方父母全部出来,出单率30左右,稳得一批

1

8 Oct 2024, 08:24 UTC≈1,980 views1 reactionsread 9 August 2026
File

微信小程序绑定号(简称微绑),代理以后给客户介绍记得说全称,从我这里出的都包售后。无法保证出来的号码跟什么所谓的贷款预留号码一不一样,想要一个易主都没有的来我这走高价调三网,不接待白嫖党。

👍1

19 Jul 2024, 06:27 UTC≈2,200 views1 reactionsread 9 August 2026
File

厅版移动,带开卡日期,带开卡地区,也可以裸号看需求,随便埋雷,300个起出,假一免单,日出三万单。

🤡1

Showing the 12 most recent of 14 posts we hold for @cuishouyewu. 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.

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

“向往的业务频道” (@cuishouyewu), 126 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/cuishouyewu.

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.