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Telegram profile photo for 成都 楚依依 天府三街

Channel

成都 楚依依 天府三街

@WHcuier

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,277subscribers

+1,147 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-1003479781782
TypeChannel
Username@WHcuier
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/WHcuier

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 57% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

4,9546,2775,615.56 August 2026 — 5,130 subscribers7 August 2026 — 5,114 subscribers11 August 2026 — 5,051 subscribers13 August 2026 — 5,092 subscribers16 August 2026 — 5,136 subscribers20 August 2026 — 4,954 subscribers24 August 2026 — 5,059 subscribers27 August 2026 — 5,188 subscribers30 August 2026 — 5,206 subscribers2 September 2026 — 5,228 subscribers7 September 2026 — 5,230 subscribers11 September 2026 — 5,131 subscribers14 September 2026 — 5,087 subscribers19 September 2026 — 5,045 subscribers29 September 2026 — 5,450 subscribers6 October 2026 — 5,470 subscribers12 October 2026 — 5,285 subscribers16 October 2026 — 5,224 subscribers19 October 2026 — 5,220 subscribers22 October 2026 — 5,575 subscribers25 October 2026 — 5,920 subscribers29 October 2026 — 5,977 subscribers1 November 2026 — 5,923 subscribers3 November 2026 — 5,953 subscribers6 November 2026 — 6,009 subscribers10 November 2026 — 6,277 subscribers6 August 202610 November 2026
26 measurements spanning 96 days, net +1,147. 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 4,756–6,475 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 20:376,277+268
6 Nov 2026, 21:146,009+56
3 Nov 2026, 21:265,953+30
1 Nov 2026, 01:415,923-54
29 Oct 2026, 06:005,977+57
25 Oct 2026, 20:555,920+345
22 Oct 2026, 13:045,575+355
19 Oct 2026, 04:565,220-4
16 Oct 2026, 02:105,224-61
12 Oct 2026, 20:105,285-185
6 Oct 2026, 08:165,470+20
29 Sept 2026, 01:185,450+405
19 Sept 2026, 13:145,045-42
14 Sept 2026, 18:225,087-44
11 Sept 2026, 15:195,131-99
7 Sept 2026, 04:415,230+2
2 Sept 2026, 18:185,228+22
30 Aug 2026, 08:055,206+18
27 Aug 2026, 14:375,188+129
24 Aug 2026, 04:535,059first reading

Engagement

51 posts held, back to 28 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.0%
avg views ÷ 6,277 subscribers
Avg views / post
1,750
22 posts measured
Reaction rate
0.068%
reactions ÷ views · ER floor
Posts in window
22
of 51 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 12 of 22 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 4 November 2026
Posts held51 (28 July 2026 – 4 November 2026)
Views total38,598
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:08 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
1m 35s
Average length
14s

Measured directly from 7 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.

Reaction mix

26 reactions across 19 posts, in 2 distinct kinds. The most used accounts for 96.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2596.2%
👍13.85%

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 22 of the 51 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 28 July 2026 to 4 November 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

Telegram’s own ‘edited’ marker: 8 of 22 posts held from the last 30 days (36.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 13:50 UTC170 viewsread 5 November 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🎰 楚依依发红包了兄弟们 ⚠️ 抽奖说明: 1.本次该奖品优惠券不可折现、不可转让、不可买卖;因炸号,退群,注销账号、恶意刷发言发送123字母、非正常聊天,找不到聊天记录等原因,超时未兑换等原的,不予兑奖! 2.本次活动优惠劵兑奖有效期为开奖后5天内,现金为开奖后2天内,逾期作废。 3·为避免小号、协议号、广告号,需有抽奖期间参与群对应任意车库中评论➕点赞,无评论不予兑奖 ⚠️ 如发现Ai机器人直接取消中奖资格不予兑奖,乱水群不兑奖。 🎅 联系领奖:@CHyya8 🙋 参与人数:482 💫 鸿运加成:47票 💎x 8 中奖名单如下: 1. 怪盗 💫 x 2 奖品:现金红包88 2. 捉急得很 💫 x 1 奖品:现金红包58 3. chill 💫 x 1 奖品:现金红包28 4. yeban 💫 x 1 奖品:现金红包28 5. 奇葩 奖品:100元优惠卷 6. 李娅 一 💫 x 1 …

3 Nov 2026, 00:46 UTC≈1,390 viewsread 5 November 2026
Video

天府三街楚依依:@CHyya8 今天有位置

1 Nov 2026, 01:13 UTC≈1,160 views1 reactionsread 5 November 2026
Photo

天府三街楚依依:@CHyya8

❤1

31 Oct 2026, 09:59 UTC≈1,160 views2 reactionsread 5 November 2026

【妹子花名】:楚依依 【妹子车牌】:@CHyya8 【验证留名】:大锤 【验证时间】:10.31 【所在位置】:天府三街 【修车水费】:6P 【是否代聊】:自聊 【身高身材】:165 【妹子年龄】: 23 【湿度紧度】: 紧 【颜值相似】: 9.5 【凶器罩杯】:C 【环境卫生】:温馨舒适 【服务内容】:69 舌吻 服务都有 【机车行为】:无 【优点缺点】:御姐 顺眼 【性价比】:9.8/ /满分10.0分 【推荐程度】:9.8分/满分10.0分; 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品) 【个人发挥】: 榜上发现这个楚老师好久了很对我胃口,约了挺久没约到,终于让我逮到个机会,长途跋涉来到教室,推开虚掩的门,一眼就看到了坐在沙发上的老师,身材很好,人照如一,实话说有的照片确实没有真人好看,楚拉着我坐到跟前聊了会天,就是来的有点赶热…

❤2

31 Oct 2026, 01:16 UTC≈1,520 viewsread 5 November 2026
Photo

哥哥们 今天可以约。天府三街楚依依:@CHyya8

30 Oct 2026, 00:50 UTC≈1,600 views2 reactionsread 5 November 2026
Photo

哥哥们 今天可以约。天府三街楚依依:@CHyya8

❤2

25 Oct 2026, 01:43 UTC≈3,330 views2 reactionsread 5 November 2026
Video

哥哥们 今天可以约。天府三街楚依依:@CHyya8

❤2

Showing the 12 most recent of 51 posts we hold for @WHcuier. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 8 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“成都 楚依依 天府三街” (@WHcuier), 6,277 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/WHcuier.

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.