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Channel

上海【藏精阁】

@SHCJG0

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

33,396subscribers

+2,422 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003610222968
TypeChannel
Username@SHCJG0
Description聊天抽奖群 @sh08866
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/SHCJG0

Topic

Adult — 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 83% 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
@SHCJG0/755 · this entry1 Sept 2026, 02:01 UTC@SHYLBD0/35821 Sept 2026, 02:01 UTC1.00under a minute
@SHYLBD0/37607 Sept 2026, 03:47 UTC@SHCJG0/788 · this entry7 Sept 2026, 03:48 UTC1.00under a minute
@SHYLBD0/423530 Sept 2026, 04:30 UTC@SHCJG0/901 · this entry30 Sept 2026, 04:30 UTC1.00under a minute
@SHCJG0/904 · this entry1 Oct 2026, 02:30 UTC@SHYLBD0/42371 Oct 2026, 02:30 UTC1.00under a minute
@SHYLBD0/455217 Oct 2026, 03:12 UTC@SHCJG0/952 · this entry17 Oct 2026, 03:12 UTC1.00under a minute
@SHCJG0/957 · this entry18 Oct 2026, 12:00 UTC@SHYLBD0/459118 Oct 2026, 12:00 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
@SHYLBD09 (7/8 hand-verifiable sample passed)1.00under a minute@SHYLBD0 (9–0)

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. 9 of the 9 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 332 comparable posts for this entry, running 3 August 2026 to 11 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_copy, last confirmed 12 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

29,27735,31632,296.533,3966 August 202612 November 2026
65 measurements spanning 97 days, net +2,422. 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 28,371–36,222 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 03:2133,396-606
10 Nov 2026, 06:0634,002-410
8 Nov 2026, 15:1034,412-365
7 Nov 2026, 09:0634,777-287
6 Nov 2026, 09:4935,064-252
5 Nov 2026, 06:5635,316+4,347
4 Nov 2026, 09:4730,969+292
3 Nov 2026, 11:5630,677-81
2 Nov 2026, 14:4430,758-107
1 Nov 2026, 12:1630,865-169
31 Oct 2026, 15:0031,034-473
30 Oct 2026, 15:3031,507-331
29 Oct 2026, 18:2831,838-260
28 Oct 2026, 15:5932,098-329
27 Oct 2026, 18:1632,427+1,786
26 Oct 2026, 18:1930,641-368
25 Oct 2026, 19:5931,009-73
24 Oct 2026, 23:0631,082-271
23 Oct 2026, 20:5631,353-188
22 Oct 2026, 19:0031,541first reading

Engagement

388 posts held, back to 3 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 171 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.965%
avg views ÷ 33,396 subscribers
Avg views / post
322
96 posts measured
Reaction rate
0.228%
reactions ÷ views · ER floor
Posts in window
98
of 388 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 15 of 96 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 11 November 2026
Posts held388 (3 August 2026 – 11 November 2026)
Views total30,954
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 11:11 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
109
Videos
2
Links
940

Lifetime counters from Telegram’s own channel header, read 12 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.

Reaction mix

43 reactions across 40 posts, in 3 distinct kinds. The most used accounts for 83.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3683.7%
👍614.0%
🥰12.33%

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 50 of the 388 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 388 most recent posts we hold, published 3 August 2026 to 11 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 98 posts held from the last 30 days (2.04%) 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).

11 Nov 2026, 10:35 UTC101 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:小龙女姑姑 📅 时间:2026-11-11 💓狼友:匿名 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:9 🔥 身材:8.5 🥰服务:9.5 🤝 态度:9.5 🏡 环境:9 💯 综合:9.08 ⭐ 详细过程 这次来上海出差,偶然一瞥看到了小龙女老师的照片,太合我的审美了!!直到见到老师的时候还是给了我很大的惊喜,人照居然有八九分相像,老师讲话温柔,声音好听,进门就给我递水,嘘寒问暖,有种回到家了女朋友在家的感觉!!胸部大大的,抱起来很舒服,皮肤滑滑的,摸起来太有手感了,中间休息的时候很擅长找话题聊天,相处起来一点不尴尬,也不催我,本来还有点紧张的,在小龙女老师的安抚下也放松了好多(人到中年不给力了),下身梆硬,自然是要动身,转而把老师压到,狠狠的释放了。 下次到时候会再来 📢上海修车协会 · 真实报告

11 Nov 2026, 06:09 UTC109 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:沐沐 📅 时间:2026-11-11 💓狼友:戴 佬 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:10 🔥 身材:10 🥰服务:8 🤝 态度:8 🏡 环境:10 💯 综合:9.17 ⭐ 详细过程 中了心仪老师的工兵,赶紧约课。 老师gzs在陆家嘴高档小区,遥控上楼,进房间看到老师,大眼睛大胸大长腿,老师的硬件可谓惊艳姣好,房间也是感觉干净整洁。 寒暄过后洗洗干净,老师让我先爬下,服务背面,第一次龙筋有点紧张,但整个过程逐渐放松下来,老师双手细长温润弄得我又硬又舒服,换到正面四目相对看着老师M字大长腿和呼吸起伏的大蜜,于是变得更硬。老师整个理疗过程也是做满时间,然后开始放水,用了一点水磨油,然后用勾人的小眼神,骚话和大长腿一会儿就让我123了,整体是非常舒爽的过成。 推荐,会复刷,下次要多带几张来上大课。 📢上海修车协会 · 真实报告

10 Nov 2026, 14:13 UTC488 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:瑶瑶 📅 时间:2026-11-08 💓狼友:Alexander 1 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:9 🔥 身材:9.5 🥰服务:9 🤝 态度:9 🏡 环境:9.5 💯 综合:9.17 ⭐ 详细过程 一直挺喜欢bbw类型的老师 特意竞拍到了瑶瑶老师 见面ls和照片差不多 穿着性感小妈裙 个子很高高 化了很精致的妆很好看 迅速交完水费准备上课 老师一脱衣服身上白的发光 胸大腰细臀部更是丰满 身材曲线绝佳 看的小弟激动不已 快进到口活环节老师的口活一绝 舌吻也是一直亲大蟒蛇类型 舌钉给小兄弟做服务也是一绝 带好tt进入正戏就是一个俄罗斯大坐 女上榨得很舒服 没忍住在下面抱住大屁股一顿冲刺 屁股手感绝佳而且超级大臀肉超级饱满 后转到沙发后入 床边站立后入 后入大屁股实在是不得不品一环 老师特别白 屁股也非常壮观 视觉和体验感拉满 后面转到cjs体位 和交…

10 Nov 2026, 09:01 UTC117 viewsread 12 November 2026
Photo

Telegram 中文圈搜索引擎,积木 JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 🧩 积木:@jimu · @jimux · @jimuxx 👉 所有入口都能助力提升排名🚀

10 Nov 2026, 07:28 UTC120 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:沐沐 📅 时间:2026-11-10 💓狼友:Jesus 🏅 等级:👍 好评 📸 人照:10 🌸 颜值:9.5 🔥 身材:9 🥰服务:9 🤝 态度:9.5 🏡 环境:9.5 💯 综合:9.42 ⭐ 详细过程 群里有幸抽到了这个工兵,看到老师长相极具魅力,风情万种,抽到奖便提前1日和老师约好了时间。妹子很爽快的答应好了。 当天天气不错,不冷不热,微风徐徐,出发赶往妹子的根据地,是一个商务公寓,一层很多住户的那种,开车进入小区,开到了地下停车场,按照老师引导进了楼栋,有门禁,但是自动开启,不用敲门直接进了房间,房间是新装修的,是个loft很干净,妹子出现在了眼前,和照片一模一样的,我一丝没有犹豫的留下了我自己。终于见到了妹子本人,是个漂亮大方的嫩妹,老师先帮我放水,自己去洗了澡,洗完直接上床。从B面开始和老师说了一下平时劳损比较酸疼的地方,老师也帮忙一起按压了几下,还…

9 Nov 2026, 16:10 UTC129 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:小狸牙 📅 时间:2026-11-09 💓狼友:Jacob 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:9.5 🔥 身材:9 🥰服务:9.5 🤝 态度:9.5 🏡 环境:10 💯 综合:9.42 ⭐ 详细过程 得知新老师小狸牙搬到徐汇,离我不远,约了晚饭后去打卡. 徐汇宛平南路附近大型居民小区,进门一股暖意扑面而来,房间里地暖开着,老师穿着一身性感学生服,裙底没穿内裤露出白白嫩嫩的屁股在迎接我. 所谓饱暖思淫欲、见到妹子我一下就把持不住了,妹子有一半新疆血统,所以颜值和皮肤都非常好,身高162-165目测,一头靠在我胸口开始发嗲,整个身体贴着,我摸着她屁股然后胸她会微微颤抖. 此时此刻唯有激情舌吻才能应景,妹子舌头贼软. 下面牛牛把裤子都快撑破了,脱了衣服和妹子一起去洗白白,妹子认真洗的干净,搓牛子的时候不忘在马眼和龟头边缘揉揉,手法熟练,整个人都酥麻无比. 擦干…

9 Nov 2026, 15:41 UTC106 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:小六 📅 时间:2026-11-09 💓狼友:好想念 🏅 等级:👌 中评 📸 人照:8 🌸 颜值:8 🔥 身材:9 🥰服务:7 🤝 态度:7 🏡 环境:8 💯 综合:7.83 ⭐ 详细过程 遥控到小区,老师在一楼不用爬楼,进门一看老师1.65左右,右手手臂有纹身,身材很好,自己放水自己洗自己擦,进卧室老师三点口,口硬就带雨伞,老师先上起手,老师动了大概三五分钟,没力气了换cjs然后换了后入出货,洗完走人,全程没超过十句话!不过老师有要求基本都会照做!总结,年轻,身材好,态度有点敷衍,看个人喜欢吧,个人觉得压抑😅 📢上海修车协会 · 真实报告

9 Nov 2026, 15:41 UTC103 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:小九 📅 时间:2026-11-09 💓狼友:DD N 🏅 等级:👌 中评 📸 人照:7 🌸 颜值:8 🔥 身材:8 🥰服务:8 🤝 态度:8 🏡 环境:6 💯 综合:7.5 ⭐️ 详细过程 在一个金桥一个大楼里,保安会给你开门,很容易进去,进去以后发现人照不一致,但是长的还行。洗完澡就开始口了,老师口技不错,不一会就硬了,一开始本来想走一个火车便当,但是老师说他头晕,那就算了,传教士,后入,侧入,出货,后面洗澡就走了,总体来说老师人照不一致,但是起码是个嫩妹,喜欢嫩妹的可以冲。值得注意的是,环境不太好, 📢上海修车协会 · 真实报告

9 Nov 2026, 09:00 UTC111 views1 reactionsread 12 November 2026
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Telegram 中文圈搜索引擎,积木 JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 🧩 积木:@jimu · @jimux · @jimuxx 👉 所有入口都能助力提升排名🚀

👍1

9 Nov 2026, 08:23 UTC117 views1 reactionsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:小乔 📅 时间:2026-11-09 💓狼友:没 关系 🏅 等级:👍 好评 📸 人照:7.5 🌸 颜值:8.5 🔥 身材:8.5 🥰服务:8.5 🤝 态度:8.5 🏡 环境:8 💯 综合:8.25 ⭐ 详细过程 拍到了小乔半价,就约了第二天头课过去,到地方之后见到了成熟的小乔,和小乔聊会天,过一会去陪浴,之后进入房间开始服务,小乔口的技术不错,调情也是让人很喜欢,硬了之后戴套就是cjs和女上这两个姿势,叫声很诱人,女上没扛住就出来了。后面聊会天就走了,服务态度也非常不错啊。 📢上海修车协会 · 真实报告

👍1

8 Nov 2026, 11:57 UTC158 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:婷婷 📅 时间:2026-11-02 💓狼友:哈利路亚 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:9 🔥 身材:9 🥰服务:9 🤝 态度:9 🏡 环境:9 💯 综合:9 ⭐ 详细过程 中了老师的优惠,联系了一下,发现老师离我很近,中了很多次,一直错过没有去,这次必须过去感受一下,跟老师约好时间,老师跟照片一样,没有出现货不对板情况。老师房间很温馨,还一起洗澡,然后进房间服务,服务很到位,a 面 b面都有,老师口活是一级棒,我体验过的最佳也不为过。可能是太舒服了,然后带套开始,不出意外被123秒了。这个价格相当的实惠。性价比很高。 📢上海修车协会 · 真实报告

8 Nov 2026, 10:33 UTC125 viewsread 12 November 2026

🔥 上海修车协会 · 出击报告 🥰老师:金元宝 📅 时间:2026-11-07 💓狼友:哈利路亚 🏅 等级:👍 好评 📸 人照:9 🌸 颜值:9 🔥 身材:9 🥰服务:9 🤝 态度:9 🏡 环境:9 💯 综合:9 ⭐ 详细过程 中的老师的工兵,立马跟老师联系,周五没时间,跟老师约的周六,开门老师情趣装迎接,然后洗洗,老师口活挺好的,然后出击123结束,身体有点虚,多多锻炼,下次再战。 📢上海修车协会 · 真实报告

Showing the 12 most recent of 388 posts we hold for @SHCJG0. 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

@SHCJG0 edited 2 posts 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
31 August 2026
Most recent edit
17 October 2026

Forward network

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

“上海【藏精阁】” (@SHCJG0), 33,396 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/SHCJG0.

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.