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Channel

杭州认证资源

@cph997

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

31,408subscribers

-5,652 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1001588463322
TypeChannel
Username@cph997
Description核对本群管理名称的每一个字母和数字! 【修车老总】 @ca6688bot 【修车频道】 https://t.me/cph997 【修车老群】https://t.me/cph118877 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live5 November 2026
Measurements held55
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/cph997

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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

31,40840,06735,737.512 August 2026 — 37,060 subscribers12 August 2026 — 37,060 subscribers12 August 2026 — 37,074 subscribers14 August 2026 — 40,067 subscribers15 August 2026 — 39,359 subscribers16 August 2026 — 39,304 subscribers17 August 2026 — 39,276 subscribers18 August 2026 — 39,229 subscribers19 August 2026 — 39,210 subscribers20 August 2026 — 39,222 subscribers21 August 2026 — 39,185 subscribers23 August 2026 — 38,921 subscribers25 August 2026 — 38,729 subscribers26 August 2026 — 38,667 subscribers27 August 2026 — 38,627 subscribers28 August 2026 — 38,642 subscribers29 August 2026 — 38,545 subscribers30 August 2026 — 38,458 subscribers30 August 2026 — 38,389 subscribers31 August 2026 — 38,357 subscribers1 September 2026 — 38,325 subscribers2 September 2026 — 38,218 subscribers4 September 2026 — 38,095 subscribers7 September 2026 — 37,808 subscribers10 September 2026 — 37,283 subscribers12 September 2026 — 36,815 subscribers14 September 2026 — 36,321 subscribers15 September 2026 — 36,099 subscribers18 September 2026 — 35,756 subscribers1 October 2026 — 34,125 subscribers6 October 2026 — 33,459 subscribers10 October 2026 — 32,987 subscribers13 October 2026 — 32,813 subscribers15 October 2026 — 32,603 subscribers16 October 2026 — 32,536 subscribers17 October 2026 — 32,397 subscribers18 October 2026 — 32,388 subscribers19 October 2026 — 32,377 subscribers20 October 2026 — 32,321 subscribers21 October 2026 — 32,306 subscribers22 October 2026 — 32,247 subscribers23 October 2026 — 32,246 subscribers24 October 2026 — 32,094 subscribers25 October 2026 — 32,042 subscribers26 October 2026 — 32,001 subscribers26 October 2026 — 31,910 subscribers28 October 2026 — 31,901 subscribers29 October 2026 — 31,851 subscribers30 October 2026 — 31,736 subscribers31 October 2026 — 31,610 subscribers1 November 2026 — 31,547 subscribers2 November 2026 — 31,490 subscribers3 November 2026 — 31,511 subscribers4 November 2026 — 31,485 subscribers5 November 2026 — 31,408 subscribers12 August 20265 November 2026
55 measurements spanning 85 days, net -5,652. 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 30,109–41,366 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)SubscribersChange
5 Nov 2026, 04:3131,408-77
4 Nov 2026, 01:3031,485-26
3 Nov 2026, 03:3931,511+21
2 Nov 2026, 03:4831,490-57
1 Nov 2026, 01:4831,547-63
31 Oct 2026, 03:0531,610-126
30 Oct 2026, 00:2931,736-115
29 Oct 2026, 00:0131,851-50
28 Oct 2026, 00:4631,901-9
26 Oct 2026, 23:3631,910-91
26 Oct 2026, 03:0432,001-41
25 Oct 2026, 03:5532,042-52
24 Oct 2026, 04:5632,094-152
23 Oct 2026, 08:0532,246-1
22 Oct 2026, 10:5632,247-59
21 Oct 2026, 07:0432,306-15
20 Oct 2026, 04:2632,321-56
19 Oct 2026, 02:0032,377-11
18 Oct 2026, 02:5532,388-9
17 Oct 2026, 04:0732,397first reading

Engagement

54 posts held, back to 4 August 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 154 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.46%
avg views ÷ 31,408 subscribers
Avg views / post
1,720
18 posts measured
Reaction rate
0.028%
reactions ÷ views · ER floor
Posts in window
18
of 54 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 5 of 18 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 5 November 2026
Posts held54 (4 August 2026 – 5 November 2026)
Views total30,890
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:04 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

Photos
825
Videos
209
Links
72

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
4m 04s
Average length
8s

Measured directly from 32 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

16 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 93.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1593.8%
🔥16.25%

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 19 of the 54 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 16 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 4 August 2026 to 5 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: 0 of 18 posts held from the last 30 days (0%) 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).

5 Nov 2026, 11:06 UTC323 viewsread 5 November 2026
Photo

🟡昵称: NANA 🕐地区:#杭州嘉兴海宁桐乡 🤖双向:@hznana0bot 🚀电报:@hznana0 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 与你对视的时候很容易失神,你的眼眸太过动人,盛满情绪与温柔,短暂相望,就会被你的魅力所俘获。 🔰#点击下方查看详情⬇️

5 Nov 2026, 08:58 UTC317 viewsread 5 November 2026
Photo

杭州全区 杭州全区 杭州全区 【全区95 98莞式全套海选会所】🌸私人定制spa私密会所 😇 海选 😇 油压 😇 莞式 😇 全套 😇 花式 🟢会所介绍 :海选模式 莞式服务, 环境豪华私密安全, 给您至尊享受的高端体验,可依您的喜好和需求为您做专属的私人项目定制。 更多剧本等你来解锁 主题房,制定角色,制定服装,满足你的所有幻想莞式36式 , 🛁皇帝共浴,💆菲式按摩,💪莞式抓龙, 👙制服诱惑, 👯‍♀️ 双人系列, ⛓️SM, 🍆情趣道具, ㊙️情景互动 全裸艳舞 😃 鸳鸯戏水😄 水磨推拿😄 口舌调情 😄 后口毒龙 😀胯下吞龙 😃手推胸推😄 足推臀推 😊 激情爱爱 😄 制服情趣😀 到店海选 😄【冰火双重天】😃 等三十多种项目。💒 🔥服务流程:皇帝共浴🛁指滑🫳🏻鼻息🗓舌尖漫游🥂-ab面骑士-💋柔式按摩放松-❤️花式调情雄起📞-水漫金山-🎯漫水吹箫💖-深情直入🥂🍀深喉😒…

4 Nov 2026, 07:59 UTC652 viewsread 5 November 2026
Photo

🟡昵称: 滨江 萧山95/98莞式多人🉑选 🕐地区:#滨江区 萧山区 🤖双向:@hz2023_bot 🚀电报:@hz142857 🔔频道: 频道点击浏览👀 🔴水费:95/400 98/700 🔴标签 #已验证上榜 🔰【格语 】 眼波流转之间万般风情,一个简单的眼神,就传递出丰富情绪,灵动的眼眸是你身上最亮眼的一处风景。 🔰#点击下方查看详情⬇️

3 Nov 2026, 08:30 UTC926 viewsread 5 November 2026
Photo

全国林妹高端外围【大⭕️圈】 #定金预约 本群已担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 学妹 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 没有玩过大圈的建议先点下方频道查看规则 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服 24小时接待联系即可

2 Nov 2026, 14:29 UTC≈1,090 viewsread 5 November 2026
Photo

圈界NO.1 🟡昵称:雯雯🌸 🕐地区:#拱墅 🤖双向: @wenwen618bot 🚀电报: @wenwen6183 🔔频道:点击预览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】静坐窗边的你,光影落在脸庞,一半明亮一半柔和,画面静谧唯美,这样的瞬间,美得让人久久难忘。 🔰#点击下方查看详情⬇️

1 Nov 2026, 13:25 UTC≈1,270 viewsread 5 November 2026
Photo

🟡昵称:陆小露 🕐地区:#拱墅区 🤖双向:@LLsxjqr01_bot 🚀电报:@LLll3678 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 认真聆听别人讲话的时候,神态柔和专注,眉眼温顺,这份美好的神态举止,让你的美丽又增添几分。 #老师狼友请看下方评论区⬇️

31 Oct 2026, 05:54 UTC≈1,570 views1 reactionsread 4 November 2026

最近有骗子冒充 骗老师 想盗号 大家注意上面图片是骗子, 下面是我唯一的号 唯一双向号 @ca6688bot 唯一TG号 @ca8866 @baccaratapp #如果有他人联系让你续费都是冒充,有人说你账号有问题都是盗号的,请注意骗子

❤1

30 Oct 2026, 14:02 UTC≈1,870 viewsread 4 November 2026
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🟡昵称:清纯甜妹慧慧🐰 🕐地区:#拱墅 🤖双向:@huihuijqr_bot 🚀电报:@huihui3316 🔔频道:点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 🔰#外出车费随意不超过100 🔰#点击下方查看详情⬇️ 🔰【评论区必看 】 ⬇️⬇️⬇️

30 Oct 2026, 07:20 UTC≈1,380 viewsread 2 November 2026
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圈界NO.1 🟡昵称:小小🕐地区:#上城 🤖双向:@Xxiaoxiaobb_bot 🚀电报:@Xxiaoxiao668 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 很多人追求模板化的漂亮,而你拥有专属于自己的辨识度,一眼就能记住,这才是最为难得的美丽。 🔰#点击下方查看详情⬇️

26 Oct 2026, 04:34 UTC≈2,230 views0 reactionsread 2 November 2026
Photo

圈界NO.1 🟡昵称:甜妹小O 🕐地区:#滨江 可外出 🤖双向:@xiaoxiaoo20bot 🚀电报:@xiaooo_20X 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 很多人追求模板化的漂亮,而你拥有专属于自己的辨识度,一眼就能记住,这才是最为难得的美丽。 🔰#点击下方查看详情⬇️

22 Oct 2026, 06:40 UTC≈2,540 viewsread 1 November 2026
Photo

🟡昵称:虾虾🐰 🕐地区:#拱墅 🤖双向:@Xiaa2_bot 🚀电报:@xiaxia66t1 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的高贵不在于衣着,而在于那份由内而外散发的修养。 🔰#点击下方查看详情⬇️

19 Oct 2026, 06:21 UTC≈2,780 views0 reactionsread 30 October 2026
Photo

🟡昵称: 三上悠雅 🕐地区:#滨江 🤖QQ:3962940995 🚀电报:@sanshangyouyaaa 🔔频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 认真聆听别人讲话的时候,神态柔和专注,眉眼温顺,这份美好的神态举止,让你的美丽又增添几分。 🔰#点击下方查看详情⬇️

Showing the 12 most recent of 54 posts we hold for @cph997. 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

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“杭州认证资源” (@cph997), 31,408 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cph997.

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.