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Channel

苏州寻春报告

@xcbcjbg

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

22,987subscribers

+7,079 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002542125326
TypeChannel
Username@xcbcjbg
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/xcbcjbg

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 10 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
@xcbcjbg/2565 · this entry24 Aug 2026, 15:42 UTC@XMbmxc8888/21425 Aug 2026, 07:22 UTC0.9816 hours
@xcbcjbg/2515 · this entry17 Aug 2026, 06:50 UTC@XMbmxc8888/20417 Aug 2026, 07:12 UTC0.9822 minutes
@xcbcjbg/2568 · this entry25 Aug 2026, 15:01 UTC@XMbmxc8888/21526 Aug 2026, 06:53 UTC0.9816 hours
@xcbcjbg/2479 · this entry9 Aug 2026, 22:25 UTC@XMbmxc8888/19510 Aug 2026, 06:30 UTC0.988.1 hours
@xcbcjbg/2572 · this entry27 Aug 2026, 02:28 UTC@XMbmxc8888/21627 Aug 2026, 04:48 UTC0.972.3 hours
@xcbcjbg/2485 · this entry11 Aug 2026, 05:05 UTC@XMbmxc8888/19611 Aug 2026, 06:41 UTC0.941.6 hours
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
@XMbmxc88886 (6/6 hand-verifiable sample passed)0.975.2 hoursthis entry (6–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 351 comparable posts for this entry, running 4 August 2026 to 8 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_source, last confirmed 11 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

15,90822,98719,447.56 August 202614 November 2026
65 measurements spanning 99 days, net +7,079. 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 14,846–24,049 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
14 Nov 2026, 09:5922,987+68
11 Nov 2026, 09:5622,919+12
9 Nov 2026, 18:1922,907-5
8 Nov 2026, 11:0522,912+84
7 Nov 2026, 07:4722,828+10
6 Nov 2026, 09:2622,818+3
5 Nov 2026, 06:0522,815-1
4 Nov 2026, 07:0022,816-13
3 Nov 2026, 07:3622,829-6
2 Nov 2026, 10:1622,835+9
1 Nov 2026, 09:0922,826+10
31 Oct 2026, 10:3622,816-14
30 Oct 2026, 09:3822,830-6
29 Oct 2026, 09:0722,836+12
28 Oct 2026, 07:1422,824+25
27 Oct 2026, 09:1822,799+7
26 Oct 2026, 07:5822,792+17
25 Oct 2026, 06:4722,775+39
24 Oct 2026, 08:2722,736+10
23 Oct 2026, 08:3822,726first reading

Engagement

352 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.46%
avg views ÷ 22,987 subscribers
Avg views / post
795
57 posts measured
Reaction rate
2.74%
reactions ÷ views · ER floor
Posts in window
57
of 352 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 55 of 57 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 8 November 2026
Posts held352 (4 August 2026 – 8 November 2026)
Views total45,307
Reactions total1,236
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 14:45 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.

Reaction mix

6,190 reactions across 287 posts, in 52 distinct kinds. The most used accounts for 38.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,35138.0%
👍1,03416.7%
🔥72611.7%
🥰5679.16%
👏5378.68%
😁2333.76%
👀751.21%
💯570.921%
💋530.856%
🫡440.711%
🍾420.679%
😈420.679%
⚡410.662%
🐳400.646%
🙈400.646%
🍓260.42%
🦄250.404%
😍220.355%
🍌210.339%
🏆200.323%
32 further kinds1943.13%

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 297 of the 352 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 6,190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 352 most recent posts we hold, published 4 August 2026 to 8 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 57 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).

8 Nov 2026, 13:05 UTC101 viewsread 8 November 2026
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【时间】:2026-11-08 【老师】:软萌 【留名】:飞羽十三 【人照】:8 【颜值】:8 【身材】:8 【服务】:7 【课费】:6 【环境】:7 【综合】:7.6 【过程】:路上堵车满了点,只好加快进度,总体来说嫩妹一个,黄黑皮,比较瘦,但胸还可以,大概b+,下面还是挺紧的,有胸推,技术萌新,态度还行,尝鲜可以 【优点】:嫩 【缺点】:服务不多

8 Nov 2026, 12:43 UTC147 viewsread 8 November 2026
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【时间】:2026-11-08 【老师】:喜多多 【留名】:huafu 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【课费】:600 【环境】:9 【综合】:9.8 【过程】:遥控上楼,开门就见到甜甜的喜多多老师,人比照片还漂亮,坐到沙发就递水给我 聊了几句交完水费洗洗澡,洗的很体贴, 服务十分舒服。上床进入主题,脱了衣服的老师,两个大白兔一下子就吸引住了我的手,十分的柔软,有料。AB面服务都有做 课表的都有 口得很舒服 口了一会 怕顶不住了,立马带上tt,老师坐上来看着两个两个大灯在晃动手很自然的 老师还自觉的坐起来了,后入看着白白的屁股,里面也非常紧嫩,水很多,让人欲罢不能,拍拍屁股,老师就知道换个姿势,配合十分柔顺,抱着美人就无法释怀,十分舒服。 喜欢乖巧可人的可以直接冲 【优点】:熊大,服务好 【缺点】:无

8 Nov 2026, 09:54 UTC184 views3 reactionsread 8 November 2026
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【时间】:2026-11-08 【老师】:林小雪 【留名】:大鸡腿 【人照】:8 【颜值】:8 【身材】:8 【服务】:9 【课费】:5 【环境】:8 【综合】:8.2 【过程】:抽奖中了一张优惠券,便宜100块钱,遥控上楼,发现老师是那种很瘦的很瘦的人。一起洗澡,做了三四种姿势,最喜欢的是把老师抱着抱去扔到梳妆台上开干,美滋滋 【优点】:态度好,老师非常瘦,喜欢苗条的可以来 【缺点】:非常瘦

❤2😁1

8 Nov 2026, 09:12 UTC187 views7 reactionsread 8 November 2026

【时间】:2026-11-08 【老师】:昆山小乔 【留名】:LY 【人照】:7 【颜值】:8 【身材】:9 【服务】:10 【课费】:1500 【环境】:7 【综合】:8.2 【过程】:跟着指示来到酒店房间,老师为我开了门,态度很温柔,不过没有陪浴。老师的档案照片稍有差异,但真人是很耐看的,身材也很好,皮肤很细腻,胸不大但是挺拔,两条大长腿很诱人,可惜忘了告诉老师带上黑丝高跟😂 老师的口很不错,做爱的反馈很真实,态度也很好,不过老师确实是兼职出来的,花样稍微少一点。 【优点】:身材好,性格好,温柔体贴 【缺点】:服务类型不多;老师订的酒店房间比较小,当然安全性会比较好

🙈4🥰2❤1

8 Nov 2026, 07:58 UTC247 views8 reactionsread 8 November 2026
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【时间】:2026-11-08 【老师】:曦曦 【留名】:野谷生春 【人照】:8.5 【颜值】:8.5 【身材】:9.3 【服务】:9 【课费】:6 【环境】:9 【综合】:8.86 【过程】:人照八九分,身高很高170+,穿着秘书白衬衣灰色包臀裙加开档黑丝,踩着厚黑底拖鞋。 有培浴身材无敌,奶子水滴型白嫩,腿长匀称屁股也大,无纹身皮肤光滑。 有制服丝袜,服务舔胸舌头灵活,口活熟练+舔蛋深喉,给妹子吃下面的时候她怕痒舔几下受不了。 大长腿穿着丝袜制服,宛如岛国片子里的剧情演绎。 传教起手+侧入,后入,女上最后传教首尾,日感舒适,顶级炮架。 【优点】:胸大水滴形,制服丝袜多,口活好,姿势配合 【缺点】:无

🔥4👏2😁2

7 Nov 2026, 18:04 UTC561 views21 reactionsread 8 November 2026
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【时间】:2026-11-08 【老师】:舒颜 【留名】:好想中奖(戒赌上岸版) 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【课费】:工兵400 【环境】:10 【综合】:9.4 【过程】:看到福利频道上了舒颜老师的券 很符合我的审美 立马拿下 然后立马约课出门 又是下雨又是一路红灯 我在车上坐立难安。终于到了教室 一开门很是惊艳 高挑的身材 (净身高一米七)精致的脸庞 进门付了水费然后脱衣开始陪浴 老师身材很是纤细 唯一的缺点就是胸有点小 老师认真帮我清洗 我的手不老实的在老师身上游走 很滑很嫩 洗完后老师蹲下来给我水中萧 我滴妈! 这口技在苏州怕是没有对手!!!擦干来到房间开始服务 不得不说!会所头牌就是不一样,主动穿上我最爱的黑丝 在黑丝的衬托下 她那双美腿更加迷人AB面服务都超级棒 服务完后老师开始给我口 修长且灵活的舌头不断挑逗着我的牛牛 然后整根吞下 深喉 …

❤12👏7🔥2

7 Nov 2026, 14:46 UTC571 views22 reactionsread 8 November 2026
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【时间】:2026-11-07 【老师】:小丫头 【留名】:藤原吃豆腐 【人照】:9.1 【颜值】:9.3 【身材】:9.2 【服务】:9.2 【课费】:600 【环境】:9 【综合】:9.16 【过程】:榜单上突然看到新来的嫩妹老师,看了照片很心动,有点前女友的感觉,赶紧约了头课,想说一句老师真勤快开课真早,9点,哈哈,开门老师空调都开好了,暖和的一批,老师个照片比较像,只是不像照片那么高,哈哈哈,颜值还是不错的,婴儿肥,很可爱,聊了几句开始脱衣服,老师洗过了,所以我就自己洗了,洗完上床,嫩妹三件套,老师口的还不错,虽然有点生疏,新人还不错了,要了69,户型很好看,小小的蝴蝶,没有异味,毛毛特别少,接近白虎了,梆硬直接开干,女上起手,老师女上听卖力的,啪啪响,不过体力一会儿就没了,换我后入,老师骚话不断,嫩妹说骚话真不错,反差感爆棚,然后cjs九九一千下,给老师干的不行了,就手打了,看来还是不适合早课难出货,整体评价给到满意,…

😁12❤7👍2🍌1

7 Nov 2026, 13:21 UTC491 views19 reactionsread 8 November 2026
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【时间】:2026-11-07 【老师】:软萌 【留名】:秦见 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【课费】:600(本人工兵300) 【环境】:8.5 【综合】:9.3 【过程】:一眼对味,果断出击,小区楼内,方便安全!进门人照无差,绝对初入海嫩妹,颜值上成,怯生生的!热情招呼,宽衣全裸,瘦长身材,无一丝赘肉,双腿细长直,胸不大但又挺又圆又紧实,惊呼吃到完美身材嫩妹!小妹妹刚下海,服务不能苛求,嫩妹三件套,但贵在态度好,口得很认真!戴套开干,非常配合,自己捧腿叉开迎炮,强调一下苏的紧,相当紧,刺激强,而且耐桩配合! 【优点】:颜值高,身材好,绝对嫩妹,真的紧 【缺点】:完美无缺

❤12👍6🔥1

7 Nov 2026, 13:18 UTC437 views14 reactionsread 8 November 2026
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【时间】:2026-11-07 【老师】:软萌 【留名】:沉梦昂志5.0📛 【人照】:8.8 【颜值】:8.5 【身材】:8.5 【服务】:8.2 【课费】:600P 【环境】:8.6 【综合】:8.52 【过程】:看到新上榜的嫩妹——软萌。 名字软软的,照片也干净,内心那点跃跃欲试的念头没能按住,便直接约好时间,决定去见。 她的教室开在小区里,环境相对安全,车可以直接开进去。按指示上楼,第一眼见到她时,与频道照片差距不大,只是脸上的妆化得略白了些。她很客气,递来水和拖鞋,把我引进房间。闲聊片刻后,气氛渐渐放松,我们开始脱衣陪浴。 热水漫过身体,简单冲洗过后,一起上了床。 毕竟是刚开课的嫩妹,服务还带着几分生疏。她的双峰却相当出色——不算特别丰满,却有种细枝硕果的精致感,形状漂亮,手感也软。软萌没有亲和舌吻,又说这几天快要来亲戚,我也便没有做六九。我自己先抚慰到足够硬挺,戴上安全套,从后进入她。节奏不疾不徐,最后在她身体里释放。…

❤10👏3💯1

7 Nov 2026, 08:57 UTC487 views17 reactionsread 8 November 2026
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【时间】:2026-11-07 【老师】:皮皮 【留名】:匿名 【人照】:9.2 【颜值】:9.1 【身材】:9.5 【服务】:10 【课费】:700 【环境】:10 【综合】:9.56 【过程】:教室是高档公寓,女友感十足,见面就很喜欢!交完学费,寒暄了一会就去洗澡了。穿上制服带上眼镜很有感觉,喜欢反差感的极力推荐,口的很久,很舒服,深入浅出,从头到根部,如果加上魅惑的眼神无敌了,应该是刚做情绪方面给的不够,从床上到沙发上课表有的有求必应态度满分……写在最后舔🐻她怕痒 【优点】:女友感十足,身材好颜值高 【缺点】:无🐍啊,天塌了

❤12👏4😁1

7 Nov 2026, 02:57 UTC673 views25 reactionsread 8 November 2026
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【时间】:2026-11-06 【老师】:软萌 【留名】:浮生若梦为欢几何 【人照】:9.2 【颜值】:8.9 【身材】:9 【服务】:9 【课费】:300 【环境】:8.9 【综合】:9 【过程】:看到妹子上榜,看上眼了,直接拿下。姑苏著名某小区,开门人照有差别,照片精修过。本人也还不错,颜值中上,身材苗条,细枝硕果。皮肤一般,态度非常好,洗的也很耐心,上床指划,兄推都有,口了一会带套进入,各种姿势都配合,非常好,说话也很温柔,非常不错的小姑娘。 【优点】:嫩 【缺点】:小区位置一般

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6 Nov 2026, 10:34 UTC922 views28 reactionsread 8 November 2026

【验 证 人】: 大鹏(尘海涤心) 『推荐指数:⭐️⭐️⭐️⭐️⭐️ 【日 期】: 11 月 06 日 【美女昵称】:#96 【联系方式】: @baijinhan96 【所属频道】:公开榜 【地 区】: 园区 【上课花费】: 4 【口渴关怀】: 矿泉水 【人照相似】:9真人好看过照片 【服务内容】:全裸五推 【服务过程】: 96,一个几乎传说般的名字,我见她是带着一种追星的心态。本来想10月或许能见一次,结果她有段时间回家了,于是辗转到了秋凉。 距约见的时间提前了半小时,我跟着地图指引来到前台。一个漂亮的小姐姐正低头看手机,她穿一身灰色连衣裙,朴素的着装,勾勒她傲人的身材,前凸后翘,曲线饱满,玲珑的身材却有一对大胸,腰肢又极其的细瘦。脸模也是极其精致,几乎就是素颜,还能隐隐看到两颗美人痣在嘴唇上方。 “你好,我是线上预约了过来的。” “好的,你约了几号,可以先到房间休息。” “好,我约了9…

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Showing the 12 most recent of 352 posts we hold for @xcbcjbg. 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.

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

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.

“苏州寻春报告” (@xcbcjbg), 22,987 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/xcbcjbg.

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.