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Channel

杭州出击通告认证老师

@HZCJTGau

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

29,203subscribers

+9,293 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1002724579848
TypeChannel
Username@HZCJTGau
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live14 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/HZCJTGau

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 1 other registered channel. 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
@HZCJTGau/7531 · this entry12 Aug 2026, 08:00 UTC@HZCJTGel/357212 Aug 2026, 08:00 UTC1.00under a minute
@HZCJTGel/358116 Aug 2026, 08:00 UTC@HZCJTGau/7608 · this entry16 Aug 2026, 08:00 UTC1.00under a minute
@HZCJTGau/7718 · this entry26 Aug 2026, 02:10 UTC@HZCJTGel/360726 Aug 2026, 02:10 UTC1.00under a minute
@HZCJTGau/8274 · this entry16 Oct 2026, 17:55 UTC@HZCJTGel/372816 Oct 2026, 17:55 UTC1.00under a minute
@HZCJTGau/8275 · this entry16 Oct 2026, 17:56 UTC@HZCJTGel/372916 Oct 2026, 17:56 UTC1.00under a minute
@HZCJTGau/8323 · this entry23 Oct 2026, 15:00 UTC@HZCJTGel/373023 Oct 2026, 15:00 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
@HZCJTGel10 (8/8 hand-verifiable sample passed)1.00under a minuteeven

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. 4 of the 4 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 101 comparable posts for this entry, running 7 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).

Recorded under the key clone_mutual, last confirmed 14 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.

Growth

19,89229,20324,547.59 August 202614 November 2026
61 measurements spanning 97 days, net +9,293. 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 18,495–30,600 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
14 Nov 2026, 13:1629,203+406
11 Nov 2026, 11:0828,797+233
9 Nov 2026, 16:0928,564+177
8 Nov 2026, 09:4728,387+57
7 Nov 2026, 03:2128,330+135
6 Nov 2026, 04:0928,195+284
5 Nov 2026, 01:5727,911+223
4 Nov 2026, 00:3627,688+174
2 Nov 2026, 23:1827,514+293
1 Nov 2026, 21:0827,221+168
31 Oct 2026, 17:5627,053+198
30 Oct 2026, 16:2126,855+150
29 Oct 2026, 14:4426,705+230
28 Oct 2026, 12:0526,475+413
27 Oct 2026, 10:4026,062+39
26 Oct 2026, 11:4526,023+97
25 Oct 2026, 14:4625,926+76
24 Oct 2026, 11:2025,850+187
23 Oct 2026, 08:4025,663+180
22 Oct 2026, 10:0025,483first reading

Engagement

105 posts held, back to 7 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 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.21%
avg views ÷ 29,203 subscribers
Avg views / post
644
33 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
33
of 105 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 13 of 33 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 12 November 2026
Posts held105 (7 August 2026 – 12 November 2026)
Views total21,267
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 09:57 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
10m 46s
Average length
8s

Measured directly from 81 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

34 reactions across 29 posts, in 2 distinct kinds. The most used accounts for 88.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3088.2%
👍411.8%

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 39 of the 105 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 105 most recent posts we hold, published 7 August 2026 to 12 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: 1 of 33 posts held from the last 30 days (3.03%) 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).

12 Nov 2026, 13:18 UTC326 views0 reactionsread 14 November 2026
Forwarded from @CJGObotPhoto

本群正在进行发言幸运爆奖活动,别光潜水啦~现在发言可能“爆奖”哦!说不定下一位中奖的就是你,快来试试手气~ 奖品如下: 🎁 可儿 @h520hjj 30口令红包 └ 已抽0 剩余1 中奖率0.02% 🎁 可儿 @h520hjj 半价优惠劵 └ 已抽0 剩余1 中奖率0.02% 🎁 积分5 └ 已抽0 剩余50 中奖率1.02% 🎁 积分1 └ 已抽0 剩余300 中奖率6.13% 🎁 积分100 └ 已抽0 剩余2 中奖率0.04% 🎁 积分50 └ 已抽0 剩余5 中奖率0.1% 🎁 出击点1 └ 已抽0 剩余5 中奖率0.1% 🎁 积分10 └ 已抽0 剩余30 中奖率0.61% 🎫 参与条件: - 必须有用户名 - 从2026-11-13 00:00:00起发言数量不少于50 中奖人(0)

9 Nov 2026, 11:46 UTC678 viewsread 14 November 2026
Photo

📊 1条车评,综合评分8.42 好评 100% |人照 9 |服务 8 中评 0% |颜值 8.5 |态度 8.5 差评 0% |身材 8 |环境 8.5 —— 杭州出击通告上城认证老师 —— 【老师艺名】:#潼潼 【老师坐标】:#上城 【联系方式】:@TT7877 【频道链接】:@lc77766676 【课时费用】:800/1500 【老师标签】:#嫩妹系 #bbw #女友感 #皮肤白 #69 #嫩妹三件套 #鸳鸯浴 #制服 #舌吻 【验证方式】:#视频验证 【福利活动】:400P 1名 积分竞拍模式 【查看活动详情】 【点击查看群聊】

9 Nov 2026, 11:41 UTC540 viewsread 14 November 2026
Photo

📊 1条车评,综合评分7.83 好评 0% |人照 9 |服务 9 中评 100% |颜值 7 |态度 7 差评 0% |身材 8 |环境 7 —— 杭州出击通告上城认证老师 —— 【老师艺名】:#江小白 【老师坐标】:#上城 【联系方式】:@jiangxiaobai668 【频道链接】:@huihgfgt 【课时费用】:688/1200 【老师标签】:#嫩妹系 #服务系 #女友感 #模特 #莞式 #漫画身材 #大长腿 #半套 #AB面 #鸳鸯浴 #制服 #69 #舌吻 #毒龙 【验证方式】:#视频验证 #工兵验证 【福利活动】:400P 1名 发言爆奖模式 【查看活动详情】 【点击查看群聊】

9 Nov 2026, 11:24 UTC499 viewsread 14 November 2026
Photo

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 —— 杭州出击通告萧山认证老师 —— 【老师艺名】:#可儿 【老师坐标】:#余杭 【联系方式】:@h520hjj 【频道链接】:@h520hj 【课时费用】:500/900 【老师标签】:#御姐系 #服务系 #女友感 #莞式 #69 #冰火两重天 #花式吹箫 #制服 #鸳鸯浴 #AB面 【验证方式】:#视频验证 #工兵验证 【福利活动】:300P 1名 发言爆奖模式 【查看活动详情】 【点击查看群聊】

7 Nov 2026, 09:28 UTC741 views1 reactionsread 14 November 2026
Photo

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 —— 杭州出击通告西湖认证老师 —— 【老师艺名】:#依哆哆 【老师坐标】:#西湖 【联系方式】:@ylpfff 【频道链接】:https://t.me/annahangz1 【课时费用】:600/1200 【老师标签】:#嫩妹系 #服务系 #69 #舌吻 #制服 #鸳鸯浴 #嫩妹三件套 【验证方式】:#视频验证 #狼友认证 【福利活动】:待定 【查看活动详情】 【点击查看群聊】

❤1

7 Nov 2026, 08:13 UTC337 views0 reactionsread 9 November 2026
Photo

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 —— 杭州出击通告西湖认证老师 —— 【老师艺名】:#安娜 【老师坐标】:#西湖 【联系方式】:@annazaixc 【频道链接】:@annazaihang 【课时费用】:900/1600 【老师标签】:#御姐系 #颜值系 #女友感 #洋酒 #嫩妹三件套 #制服 #鸳鸯浴 #舌吻 #69 【验证方式】:#视频验证 #工兵验证 #狼友推荐 【福利活动】:待定 【查看活动详情】 【点击查看群聊】

6 Nov 2026, 13:10 UTC414 viewsread 9 November 2026
Photo

📊 6条车评,综合评分9.03 好评 100% |人照 9.17 |服务 9.3 中评 0% |颜值 8.5 |态度 9.77 差评 0% |身材 8.62 |环境 8.83 —— 杭州出击通告上城认证老师 —— 【老师艺名】:#馨儿 【老师坐标】:#上城 【联系方式】:@xiner9002 【频道链接】:@xiner4118 【课时费用】:800/1500 【老师标签】:#御姐系 #服务系 #魅魔 #漫画身材 #毒龙 #鸳鸯浴 #水中箫 #车震 #野战 #对镜啪 #小玩具 #无限火力 #可拍小视频 【验证方式】:#视频验证 【福利活动】:400P 1名 积分竞拍模式 【查看活动详情】 【点击查看群聊】

2 Nov 2026, 18:11 UTC792 views1 reactionsread 9 November 2026
Photo

本群正在进行发言幸运爆奖活动,别光潜水啦~现在发言可能“爆奖”哦!说不定下一位中奖的就是你,快来试试手气~ 奖品如下: 🎁 杭州出击通告 30口令红包 └ 已抽0 剩余1 中奖率0.02% 🎁 小甜瓜 @Pennm88 半价优惠劵 └ 已抽0 剩余1 中奖率0.02% 🎁 积分5 └ 已抽0 剩余50 中奖率1.02% 🎁 积分1 └ 已抽0 剩余300 中奖率6.13% 🎁 积分100 └ 已抽0 剩余2 中奖率0.04% 🎁 积分50 └ 已抽0 剩余5 中奖率0.1% 🎁 出击点1 └ 已抽0 剩余5 中奖率0.1% 🎁 积分10 └ 已抽0 剩余30 中奖率0.61% 🎫 参与条件: - 必须有用户名 - 从2026-11-03 00:00:00起发言数量不少于50 中奖人(0)

❤1

1 Nov 2026, 14:31 UTC685 views1 reactionsread 9 November 2026
Photo

📊 7条车评,综合评分8.58 好评 83.3% |人照 8.33 |服务 8.3 中评 16.7% |颜值 8.3 |态度 8.83 差评 0% |身材 9.3 |环境 8.42 —— 杭州出击通告上城认证老师 —— 【老师艺名】:#小甜瓜 【老师坐标】:#上城 【联系方式】:@Pennm88 【频道链接】:@tiangua11221 【课时费用】:700/1300 【老师标签】:#御姐系 #服务系 #性价比 #魅魔 #水多 #漫画身材 #AB面 #鸳鸯浴 #深喉 #舌吻 #无限火力 【验证方式】:#视频验证 【福利活动】:400P 1名 发言爆奖模式 【查看活动详情】 【点击查看群聊】

👍1

1 Nov 2026, 14:18 UTC445 views2 reactionsread 6 November 2026
Photo

📊 7条车评,综合评分9.01 好评 100% |人照 8.71 |服务 9.36 中评 0% |颜值 8.57 |态度 9.51 差评 0% |身材 8.69 |环境 9.23 —— 杭州出击通告西湖认证老师 —— 【老师艺名】:#小野又野 【老师坐标】:#西湖 【联系方式】:@xye98888 【频道链接】:@ye98888 【课时费用】:600/1100 【老师标签】:#嫩妹系 #服务系 #69 #舌吻 #制服 #莞式 #鸳鸯浴 #水中箫 【验证方式】:#视频验证 #狼友推荐 【福利活动】:300P 1名 发言爆奖模式 【查看活动详情】 【点击查看群聊】

👍2

30 Oct 2026, 15:16 UTC565 views0 reactionsread 6 November 2026
Photo

📊 3条车评,综合评分9 好评 100% |人照 8.83 |服务 9.13 中评 0% |颜值 8.57 |态度 9.2 差评 0% |身材 8.9 |环境 9.37 —— 杭州出击通告拱墅认证老师 —— 【老师艺名】:#小奶龙 【老师坐标】:#拱墅 【联系方式】:@senailong 【频道链接】:@sesenailong 【课时费用】:1000/1800 【老师标签】:#嫩妹系 #颜值系 #服务系 #白虎 #69 #舌吻 #鸳鸯浴 #制服 #野战 #车震 #对镜啪 #可拍小视频 【验证方式】:#视频验证 【福利活动】:500P 1名 发言爆奖模式 【查看活动详情】 【点击查看群聊】

29 Oct 2026, 14:43 UTC687 views1 reactionsread 6 November 2026
Photo

📊 10条车评,综合评分9.19 好评 100% |人照 9.47 |服务 9 中评 0% |颜值 9.34 |态度 9.22 差评 0% |身材 9.11 |环境 9 —— 杭州出击通告拱墅认证老师 —— 【老师艺名】:#麦迪 【老师坐标】:#拱墅 【联系方式】:@xiaodangaommaidi 【频道链接】:@maidixiaodangao2 【课时费用】:1000/1800 【老师标签】:#嫩妹系 #颜值系 #服务系 #深喉 #舌吻 #制服 #鸳鸯浴 #水中箫 #小玩具 #剧情扮演 #车震 #对镜子啪 #可拍小视频 【验证方式】:#视频验证 【福利活动】:66口令红包 1名 积分竞拍模式 【查看活动详情】 【点击查看群聊】

❤1

Showing the 12 most recent of 105 posts we hold for @HZCJTGau. 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

@HZCJTGau 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
5 November 2026
Most recent edit
5 November 2026

Posts recorded as deleted after publishing

We recorded 11 posts on @HZCJTGau 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
24 August 2026
Most recent seen missing
2 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
3

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 6 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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“杭州出击通告认证老师” (@HZCJTGau), 29,203 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/HZCJTGau.

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.