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Channel

惠州认证资源

@cph993

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

29,905subscribers

-1,833 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-1001501545773
TypeChannel
Username@cph993
Description【修车老总】 @ca6688bot 【修车频道】 https://t.me/cph993 【修车老群】https://t.me/hjjg999 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 June 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live11 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/cph993

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 48% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@jipin88996/81511 Aug 2026, 07:11 UTC@cph993/1270 · this entry11 Aug 2026, 07:12 UTC1.00under a minute
@jipin88996/82511 Aug 2026, 14:53 UTC@cph993/1279 · this entry11 Aug 2026, 14:54 UTC1.00under a minute
@jipin88996/83221 Aug 2026, 05:08 UTC@cph993/1291 · this entry21 Aug 2026, 05:09 UTC1.00under a minute
@jipin88996/86511 Sept 2026, 08:27 UTC@cph993/1368 · this entry11 Sept 2026, 08:28 UTC1.00under a minute
@cph993/1390 · this entry24 Sept 2026, 10:36 UTC@jipin88996/88424 Sept 2026, 10:36 UTC1.00under a minute
@jipin88996/92614 Oct 2026, 13:04 UTC@cph993/1438 · this entry14 Oct 2026, 13:05 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@jipin8899623 (8/8 hand-verifiable sample passed)1.00under a minute@jipin88996 (14–9)
@jipin565517 (8/8 hand-verifiable sample passed)0.99under a minute@jipin5655 (9–8)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 23 of the 23 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 36 comparable posts for this entry, running 6 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 3 channels, the one whose matching posts we hold earliest is @cph993 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

28,54234,49831,52012 August 2026 — 31,738 subscribers12 August 2026 — 31,738 subscribers12 August 2026 — 31,616 subscribers14 August 2026 — 34,498 subscribers15 August 2026 — 33,653 subscribers16 August 2026 — 33,554 subscribers17 August 2026 — 33,502 subscribers18 August 2026 — 33,363 subscribers19 August 2026 — 33,307 subscribers21 August 2026 — 33,328 subscribers22 August 2026 — 33,210 subscribers24 August 2026 — 32,837 subscribers25 August 2026 — 32,758 subscribers26 August 2026 — 32,643 subscribers27 August 2026 — 32,468 subscribers28 August 2026 — 32,348 subscribers28 August 2026 — 32,139 subscribers29 August 2026 — 31,872 subscribers30 August 2026 — 31,748 subscribers1 September 2026 — 31,648 subscribers2 September 2026 — 31,487 subscribers4 September 2026 — 31,381 subscribers7 September 2026 — 31,217 subscribers10 September 2026 — 30,791 subscribers12 September 2026 — 30,311 subscribers14 September 2026 — 29,997 subscribers15 September 2026 — 29,858 subscribers17 September 2026 — 29,690 subscribers28 September 2026 — 29,972 subscribers5 October 2026 — 29,274 subscribers9 October 2026 — 30,638 subscribers13 October 2026 — 30,453 subscribers14 October 2026 — 30,242 subscribers15 October 2026 — 30,096 subscribers16 October 2026 — 30,017 subscribers17 October 2026 — 29,878 subscribers18 October 2026 — 29,789 subscribers19 October 2026 — 29,745 subscribers20 October 2026 — 29,725 subscribers21 October 2026 — 29,671 subscribers22 October 2026 — 29,610 subscribers24 October 2026 — 29,513 subscribers25 October 2026 — 29,385 subscribers26 October 2026 — 29,348 subscribers27 October 2026 — 29,244 subscribers28 October 2026 — 29,110 subscribers29 October 2026 — 29,027 subscribers30 October 2026 — 28,898 subscribers31 October 2026 — 28,707 subscribers1 November 2026 — 28,603 subscribers2 November 2026 — 28,542 subscribers3 November 2026 — 30,586 subscribers4 November 2026 — 30,490 subscribers5 November 2026 — 30,432 subscribers6 November 2026 — 30,386 subscribers7 November 2026 — 30,280 subscribers8 November 2026 — 30,050 subscribers9 November 2026 — 30,029 subscribers11 November 2026 — 29,905 subscribers29,90512 August 202611 November 2026
59 measurements spanning 92 days, net -1,833. 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 27,649–35,391 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
11 Nov 2026, 19:5929,905-124
9 Nov 2026, 22:3130,029-21
8 Nov 2026, 11:1130,050-230
7 Nov 2026, 03:1630,280-106
6 Nov 2026, 06:1730,386-46
5 Nov 2026, 08:1130,432-58
4 Nov 2026, 07:3930,490-96
3 Nov 2026, 06:1930,586+2,044
2 Nov 2026, 03:3628,542-61
1 Nov 2026, 02:3828,603-104
31 Oct 2026, 04:4028,707-191
30 Oct 2026, 04:5628,898-129
29 Oct 2026, 07:0529,027-83
28 Oct 2026, 05:2129,110-134
27 Oct 2026, 01:5629,244-104
26 Oct 2026, 02:0829,348-37
25 Oct 2026, 04:1129,385-128
24 Oct 2026, 01:0829,513-97
22 Oct 2026, 23:4629,610-61
21 Oct 2026, 22:4529,671first reading

Engagement

47 posts held, back to 6 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
6.22%
avg views ÷ 29,905 subscribers
Avg views / post
1,860
16 posts measured
Reaction rate
0.057%
reactions ÷ views · ER floor
Posts in window
16
of 47 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 8 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 13 November 2026
Posts held47 (6 August 2026 – 13 November 2026)
Views total29,780
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:53 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
456
Videos
173
Links
40

Lifetime counters from Telegram’s own channel header, read 13 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
3m 57s
Average length
8s

Measured directly from 29 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

27 reactions across 21 posts, in 3 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2177.8%
👍414.8%
😍27.41%

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 23 of the 47 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 6 August 2026 to 13 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: 2 of 16 posts held from the last 30 days (12.5%) 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).

13 Nov 2026, 12:23 UTC98 viewsread 13 November 2026
Video

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13 Nov 2026, 09:19 UTC146 views1 reactionsread 13 November 2026
Photo

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👍1

12 Nov 2026, 12:22 UTC318 views1 reactionsread 13 November 2026
Photo

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❤1

11 Nov 2026, 14:11 UTC383 viewsread 13 November 2026
Video

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10 Nov 2026, 12:41 UTC425 viewsread 13 November 2026
Photo

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7 Nov 2026, 08:40 UTC≈1,070 views1 reactionsread 13 November 2026
Photo

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👍1

5 Nov 2026, 16:22 UTC≈1,210 viewsread 13 November 2026
Photo

新店开业🥴🥴🥴 欢迎大哥们前来体验! 💎💎💎惠州惠城旗舰店💎💎💎 【推荐指数】:⭐️⭐️⭐️⭐️⭐️ 【技师年龄】:18-30岁 【特 色】:新店 基本都是00后 另有特色cosplay→ 性感女护士 麻辣女教师 等……根据个人偏好选择! 【出勤人数】:每天20+ 【优 点】:颜控也可秒选 技师妙龄,手法到位不偷钟少钟,服务体贴,有个调情环节非常到位,丝袜美腿互动,增加了诱惑与性感,其次胖子一个看不到,身材高挑腰部纤细,满足了广大群众的审美标准。 ‹ 情趣体验 免费提供各种丝袜制服› ‹ 先选人·再体验·后付款 › —————————————————— 咨询/预约部长: @LQ9621 ☎️ 1667 520 6662(同V) 福利活动交流群: @LQ962111 在岗技师相册: @LQ96211 私信限制🤖: @Liqun9621_bot —————————————————— ‹ 温馨…

4 Nov 2026, 11:22 UTC≈1,680 views1 reactionsread 13 November 2026
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🫤惠州高端😐😉😉旗舰店🫤 惠城独家真实高颜值T台海选😀😀 🍎🍎🍎🍎🍎 😶主打高颜值-服务一流-性价比高 #4推 #颜值 #推油 #海选 #SPA #河南岸 #麦地 #情景剧本 #惠州海选 #00后 全场💯00 03 05后 高颜值 全场不分牌😀😀😀 🔊🔊店内不定时行进 优惠·赠送 体验 新增情景剧本SPA 😅 Cosplay角色扮演😅 服务时间🤬😨分钟不限次 ⚠️最新推出大型优惠活动⚠️ 🚩:双飞只需➕🥰🥰🥰 🚩:三人同行优惠🥰🥰🥰 🚩:四人同行优惠🥰🥰🥰 🚩:五人同行优惠🥰🥰🥰 🚩:单人累计消费😀次 第😀次半价 📱 📱 📱 📱 📱 📱 📱 📱 📱 服务如下📱 吸皮过水🐨嫦娥之吻 🐨海底捞月 漫游毒龙 🐨蚂蚁上树 🐨高山流水 日式调情 🐨猴子偷桃🐨怀中抱月 鼻息 ❤️指划❤️胸划 ❤️乳交 ❤️毒龙❤️ 📱还可以射在妹子身上 满足哥哥们一切需求 …

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3 Nov 2026, 08:30 UTC≈1,880 viewsread 11 November 2026
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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

31 Oct 2026, 05:55 UTC≈2,550 views1 reactionsread 10 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

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29 Oct 2026, 11:14 UTC≈2,740 views1 reactionsread 7 November 2026
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🟡昵称: 如烟 🕐地区:#麦地 🤖双向:@byss676788bot 🚀电报: @ccby7788 🔔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⬇️

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26 Oct 2026, 07:35 UTC≈3,090 views2 reactionsread 5 November 2026
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🟡昵称:#婷婷 🕐地区:#惠东 🤖双向: 🚀电报:@Ting0805 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

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Showing the 12 most recent of 47 posts we hold for @cph993. 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.

Posts edited after publishing

@cph993 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
1 November 2026
Most recent edit
1 November 2026

Posts recorded as deleted after publishing

We recorded 1 post on @cph993 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
4 September 2026
Most recent seen missing
4 September 2026
Median time before seen missing
22 hours
Seen missing in the last 30 days
0

Mentions

Named by 2 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.

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

“惠州认证资源” (@cph993), 29,905 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/cph993.

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.