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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

35,756subscribers

-1,304 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

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 live18 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 18 September 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 why it has no browse page of its own yet.

Growth

35,75640,06737,911.512 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 subscribers12 August 202618 September 2026
29 measurements spanning 37 days, net -1,304. 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 35,109–40,714 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
18 Sept 2026, 08:4035,756-343
15 Sept 2026, 23:1736,099-222
14 Sept 2026, 03:5736,321-494
12 Sept 2026, 12:1636,815-468
10 Sept 2026, 06:4137,283-525
7 Sept 2026, 00:2137,808-287
4 Sept 2026, 11:5838,095-123
2 Sept 2026, 22:2938,218-107
1 Sept 2026, 19:2638,325-32
31 Aug 2026, 22:3838,357-32
30 Aug 2026, 23:0238,389-69
30 Aug 2026, 02:0738,458-87
29 Aug 2026, 04:3738,545-97
28 Aug 2026, 07:3438,642+15
27 Aug 2026, 04:3538,627-40
26 Aug 2026, 05:0338,667-62
25 Aug 2026, 02:0838,729-192
23 Aug 2026, 13:0438,921-264
21 Aug 2026, 22:1939,185-37
20 Aug 2026, 20:2539,222first reading

Engagement

26 posts held, back to 4 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 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.69%
avg views ÷ 35,756 subscribers
Avg views / post
2,390
17 posts measured
Reaction rate
0.04%
reactions ÷ views · ER floor
Posts in window
17
of 26 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 4 of 17 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 18 September 2026
Posts held26 (4 August 202618 September 2026)
Views total40,640
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 13:07 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
718
Videos
179
Links
57

Lifetime counters from Telegram’s own channel header, read 20 September 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
2m 06s
Average length
8s

Measured directly from 15 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

6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
583.3%
🔥116.7%

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 9 of the 26 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 4 August 2026 to 18 September 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

18 Sept 2026, 05:49 UTC≈1,000 viewsread 20 September 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⬇️

14 Sept 2026, 10:06 UTC≈2,940 viewsread 20 September 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⬇️

12 Sept 2026, 06:57 UTC≈3,610 viewsread 20 September 2026
Photo

花名:# 娜娜 私聊:@a_baby88 详情:看课表 位置:#滨江 频道: 频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 月色洒落在你的身上,清辉勾勒柔和轮廓,褪去白日喧嚣,夜色之中的你,安静温婉,美得如梦似幻一般。 🔰#点击下方查看详情⬇️

11 Sept 2026, 13:51 UTC≈3,780 viewsread 20 September 2026
Photo

圈界NO.1 🟡昵称:暗香专业半套(95)spa 🕐地区:#拱墅 🤖双向:暂无 🚀电报:@anxiang12345 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 月色洒落在你的身上,清辉勾勒柔和轮廓,褪去白日喧嚣,夜色之中的你,安静温婉,美得如梦似幻一般。 🔰#点击下方查看详情⬇️

9 Sept 2026, 13:07 UTC≈1,260 viewsread 11 September 2026
Photo

全国林妹高端外围【大⭕️】 #定金预约 本群可担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 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 ♏️联系客服情妹: @lingmei888168 ♏️双向客服林妹: @wai998bot ♒️总频道: 频道点击浏览👀 #本群推荐信誉客服

8 Sept 2026, 10:24 UTC≈1,600 viewsread 11 September 2026
Photo

🟡昵称: 洋洋 🕐地区:#西湖 🤖双向:@Myangyang917bot 🚀电报:@Myangyang917 🔔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 🔰#点击下方查看详情⬇️ 🔰【评论区必看 】 ⬇️⬇️⬇️

7 Sept 2026, 14:26 UTC≈1,730 views1 reactionsread 11 September 2026
Photo

🟡昵称: 年糕 🕐地区:#余杭 🤖双向:暂无 🚀电报:@xiaomi0anan 🔔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⬇️

1

6 Sept 2026, 12:51 UTC≈1,980 viewsread 11 September 2026
Photo

🟡昵称: 初下海💛 七七💛杭州学妹 🕐地区:#杭州 市区 外出 🤖双向:@xiaoguanjia5y7_bot 🚀电报:@Nicole_820 🔔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 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

3 Sept 2026, 15:40 UTC≈2,430 viewsread 11 September 2026
Photo

圈界NO.1 🟡昵称:林初白 🕐地区:#上城 🤖双向:@Linchubaibot 🚀电报:@linchubai 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 沐浴晨光的你格外柔和,清晨的微光洒在脸上,褪去所有浮华,最本真的样貌,干净纯粹,直击人心。 🔰#点击下方查看详情⬇️

3 Sept 2026, 12:57 UTC≈1,510 viewsread 8 September 2026
Photo

🟡昵称: 困困不困 🕐地区:#拱墅,上门比较多 🤖双向:@Maybe02141_bot 🚀电报:@knkun2626 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的骨相生得十分优越,经得起细看,近处端详细节精致,远远望去整体气场强大,怎么看都挑不出缺憾。 🔰#点击下方查看详情⬇️

2 Sept 2026, 13:35 UTC≈1,920 viewsread 7 September 2026
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🟡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⬇️

30 Aug 2026, 11:41 UTC≈3,150 viewsread 7 September 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 你的好看不是尖锐夺目的艳丽,而是温润绵长,如同清茶回甘,越细细体会,越能够感受到其中的美好。 #老师狼友请看下方评论区⬇️

Showing the 12 most recent of 26 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“杭州认证资源” (@cph997), 35,756 subscribers as measured 18 September 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.