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Channel

郑州茶楼报告榜

@zzclbg

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

31,797subscribers

+3,900 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003010952795
TypeChannel
Username@zzclbg
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/zzclbg

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 68% 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. This entry also forms a group of 2 channels linked by matching posts. 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
@GLL_A6/76510 Aug 2026, 13:43 UTC@zzclbg/3995 · this entry10 Aug 2026, 13:55 UTC0.9913 minutes
@zzclbg/5968 · this entry1 Nov 2026, 09:47 UTC@GLL_A6/11341 Nov 2026, 12:11 UTC0.992.4 hours
@zzclbg/6096 · this entry6 Nov 2026, 23:37 UTC@GLL_A6/11577 Nov 2026, 03:51 UTC0.994.2 hours
@GLL_A6/79216 Aug 2026, 00:16 UTC@zzclbg/4100 · this entry16 Aug 2026, 00:29 UTC0.9913 minutes
@GLL_A6/78515 Aug 2026, 07:49 UTC@zzclbg/4089 · this entry15 Aug 2026, 11:05 UTC0.993.3 hours
@zzclbg/4023 · this entry12 Aug 2026, 11:19 UTC@GLL_A6/77412 Aug 2026, 11:43 UTC0.9925 minutes
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
@GLL_A620 (8/8 hand-verifiable sample passed)0.9789 minutesthis entry (15–5)

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. 5 of the 5 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 782 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 2 channels, the one whose matching posts we hold earliest is @zzclbg — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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.

Growth

11,31231,82521,568.531,7978 August 202611 November 2026
61 measurements spanning 95 days, net +3,900. 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 8,235–34,902 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
11 Nov 2026, 22:0831,797-13
9 Nov 2026, 22:2131,810+6
8 Nov 2026, 16:5931,804-10
7 Nov 2026, 07:2631,814+5
6 Nov 2026, 08:3031,809+8
5 Nov 2026, 06:0631,801+14
3 Nov 2026, 10:1731,787+11
2 Nov 2026, 12:2831,776-11
1 Nov 2026, 13:3731,787-14
31 Oct 2026, 11:5931,801-24
30 Oct 2026, 12:0131,825+6,617
29 Oct 2026, 13:4125,208+13,183
28 Oct 2026, 14:4612,025+713
27 Oct 2026, 16:1111,312-89
26 Oct 2026, 14:1511,401-45
25 Oct 2026, 12:3611,446-9
24 Oct 2026, 15:0811,455-46
23 Oct 2026, 16:4811,501-26
22 Oct 2026, 18:2011,527-4
21 Oct 2026, 11:4711,531first reading

Engagement

808 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 84 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.68%
avg views ÷ 31,797 subscribers
Avg views / post
216
285 posts measured
Reaction rate
0.446%
reactions ÷ views · ER floor
Posts in window
285
of 808 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 59 of 285 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 held808 (6 August 2026 – 13 November 2026)
Views total61,641
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 15:54 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
≈3,630
Videos
≈27
Links
≈536

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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
7s
Average length
7s

Measured directly from 1 video 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

121 reactions across 87 posts, in 7 distinct kinds. The most used accounts for 42.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5142.1%
👍4940.5%
💩119.09%
🤮32.48%
🥰32.48%
👎21.65%
🔥21.65%

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 123 of the 808 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 121 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 808 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: 3 of 285 posts held from the last 30 days (1.05%) 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, 14:52 UTC≈1,080 viewsread 13 November 2026

【时间】:2026-11-13 【老师】:欣悦 【留名】:perone1 【人照】:9 【颜值】:9 【身材】:9.5 【服务】:10 【态度】:9.5 【环境】:9 【综合】:9.33 【过程】:终于等到欣悦老师回来了,上次约老师已经回家了。约好了下班就来了。老师遥控上楼,进门看到老师一身黑色情趣战袍,黑丝大长腿,人照也跟照片相差无几。纯纯御姐范啊。爱了爱了。 老师很热情,拉着我到沙发上休息,坐在沙发手也开始不老实的乱摸了。闲聊一会儿,交上水费,便开始进行。 脱光衣服 ,老师的大白奶子映入眼帘,忍不住上手摸了摸。又软又挺。一起去洗澡,老师很认真帮我洗干净,然后用奶推,一直蹭我后背,接着还有阴推,跨在我大腿上,一直剐蹭,我又忍不住伸手去摸。接着在二弟那里停留了良久。二弟已经受不了,邦邦硬。冲洗干净,接着又是水中萧,老师大口含住二弟,吞吞吐吐。卧槽,太爽了,这前戏真足啊。由于天冷不在浴室缠绵过久了,赶紧擦干出来。等老师出来服务,先…

13 Nov 2026, 13:05 UTC≈1,100 viewsread 13 November 2026

【时间】:2026-11-13 【老师】:韩冰冰 【留名】:AdrienneRothwell 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:不得不说,这是个被隐藏的宝藏女孩。 我先看照片就深深吸引了我,但妹纸评论区没有任何出击报告,我就半信半疑地过去了。 我直接去妹纸的附近某个地点等她,妹纸说5点下课就出来了。 电报上聊天妹纸显得非常高冷,心想着一会来看着不行我就直接撤了。 终于等到妹纸过来了,妹纸穿着浅粉的连衣裙和白色的上衣,像小仙女一样,还很热情,我心里想,这次肯定要干定她了。 我们一起上了楼,进了房间,果断决定做2P。 我先隔着衣服对妹纸一阵乱摸,然后我去洗了澡,完了就开始上课。妹纸用手握着二弟,嘴舔着我的胸,然后妹纸把套套到二弟上,开始吞吐,二弟被紧紧包裹的压力感觉很强。 然后妹纸开始女上,这简直就是最厉害的电动马达,也是我最爽的时刻,妹纸高频…

13 Nov 2026, 13:05 UTC≈1,100 viewsread 13 November 2026

【时间】:2026-11-13 【老师】:小九 【留名】:彩票哥5.0累计消费满2万送任意老师P 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:昨晚周四晚上临时起意去找的服务系老师,体验非常非常好。哈哈 九总老师口技确实惊人,舒服的不要不要的 九总绝技毒龙我这次放弃了。我感受到了传说中的表表准准 国标SIO9001国际认证的标准版 冰火吹,先冷后热,起飞 。服务系老师中 九总还非说我时间长,其实我也就几分钟,给人的情绪价值也拉满了 喜欢玩服务系的可以找9总

13 Nov 2026, 12:43 UTC≈1,190 viewsread 13 November 2026

【时间】:2026-11-13 【老师】:小柠檬 【留名】:中国银行行长 【人照】:9 【颜值】:10 【身材】:10 【服务】:9 【态度】:10 【环境】:10 【综合】:9.67 【过程】:不错的一位老师,颜值高,真人比照片更自然真实好看,身材也很顶,水多够反差够骚,做爱很主动投入,缺点是没有舌吻69、除此以外无短板,而且明显感觉无风尘感,穿着打扮用的山姆洗漱用品处处透着一种精致高级感。整体感觉宾至如归,二弟和内心都得到释放,还会再去。

13 Nov 2026, 12:43 UTC≈1,110 viewsread 13 November 2026
Photo

【时间】:2026-11-13 【老师】:朵朵 【留名】:还能成功上岸么 【人照】:7 【颜值】:7 【身材】:8 【服务】:7 【态度】:7 【环境】:8 【综合】:7.33 【过程】:引导上门,环境还行,年纪很小,嫩的出水,身材属于非常瘦的,可以抱起来草的那种,但是我试了一下失败了,核心力量不够啊。胸像个小馒头,乳头也不大软软的,下面毛也不是太多,非常嫩,嫩妹,没啥服务,而且说口腔溃疡了,就用舌头舔了舔龟头,没有口,所以我就狠狠扣了一会儿,两个指头进去会感觉非常紧,不会抗拒,但是感觉有点害羞所以放不开,带套开始,姿势都配合,换了好几个姿势,而且做爱感受非常真实,哼哼叽叽的,不像别的老师有演的叫的非常大声。

13 Nov 2026, 12:43 UTC≈1,160 viewsread 13 November 2026
Photo

【时间】:2026-11-13 【老师】:小柠檬 【留名】:J儿有点长 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.83 【过程】:二刷了,小柠檬我的最爱,大眼睛细腰大屁股美女,身高适中又瘦又白。教室很暖和但是不好停车。这次包了两个小时,出货3次帝王般的享受,正面操后入操站着操坐着操抱着操各种姿势玩了个遍,两个小时酣畅淋漓,现在进入贤者模式了。推荐,好老师请狼友们温柔对待。

13 Nov 2026, 11:24 UTC≈1,130 views1 reactionsread 13 November 2026

【时间】:2026-11-13 【老师】:小静 【留名】:匿名 【人照】:9 【颜值】: 【身材】: 【服务】: 【态度】:10 【环境】:10 【综合】:9.67 【过程】:看到群里新来的小静,有哥们在群里夸。那还说啥呢?我去看看怎么个事。见到本人。真的是学生妹妹。简单了解。确实是刚下海。看一下口活。口活竟然有点水平。老是颜值在线。人照一致。身材可以的。一点微胖。真的不胖,我这人不说假话。华丽的词藻我就不说了。刚下海的嫩妹。通道真的是又滑又紧。太丝滑了吧。不像,有的像三室一厅。屁股真的大。后入撞击感十足。因为身材很好。正面传教士。紧紧贴在一起,不敢用力撞,怕出货。我慢慢磨,老师也不催,态度真的是超级好。是我吃的嫩妹里态度最好的。舔脖子,舌吻。随便弄。也不说痒。我直接猛吸她的嘴唇。双手抚摸脸颊。狠狠的舌吻。必须给我堵住呼吸。真的是有求必应。今天运气真好。

👍1

13 Nov 2026, 09:30 UTC≈1,160 views1 reactionsread 13 November 2026

【时间】:2026-11-13 【老师】:小静 【留名】:女为悦己者容 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:10 【环境】:9 【综合】:9.17 【过程】:人照九成近,可爱甜妹,身材匀称有致手感好,态度非常好,给你女友般的体验。小静真的是刚下海没几天, 小静刚上榜,我就看照片和视频,可爱甜妹的外表却又带些御姐的气质,果然是标准的东方美人,恬淡静雅不张扬,非常吸引我。最后也是找到机会,欣然规往。 老师课室选择的地铁口,安全又交通方便,在小静引导下顺利到达课室。 开门是一个甜美长相的妹妹,人照非常接近,五官标致好看,再配上一双灵动会笑的眼睛,秾纤得衷,修短合度,明眸善睐,靥辅承权,转眄流精,光润玉颜,含辞未吐,气若幽兰,世间真有如此美人? 她温柔打招呼,引我到沙发坐下,细细交谈,这时才缓过神来观察周围,课室环境很好,干净整洁,还有些植株装饰,显得更有生气。 洗浴过后,老师典雅的气质顿时一变,妩媚诱人。…

❤1

13 Nov 2026, 08:20 UTC≈1,160 viewsread 13 November 2026
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【时间】:2026-11-01 【老师】:知念 【留名】:肉丝美腿控复活版 【人照】:9 【颜值】:9 【身材】:8.5 【服务】:9 【态度】:9.5 【环境】:9.5 【综合】:9.08 【过程】:夯!约的知念的头课,到地方一看,小小的一只,人照一致,是那种越看越好看的,我挺吃她的颜的,之后陪洗,水中萧,老师用奶子蹭,用屁股蹭鸡巴,之后上床,老师的舔工数一数二的,还有舔脚,爽。口活猴朗朗上口,回味无穷。以后传教士插入。挺紧的,很适合123(让慢慢抽查,我的最爱),最后后入出货。还有最爽的事后萧。值得二刷

13 Nov 2026, 08:19 UTC≈1,120 viewsread 13 November 2026
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【时间】:2026-11-04 【老师】:小婉 【留名】:欧皇- 欧様 【人照】:10 【颜值】:9 【身材】:9.5 【服务】:10 【态度】:10 【环境】:10 【综合】:9.75 【过程】:人至中年,早已熟稔分寸、懂得收敛,可看着身下姑娘娇喘的刹那,恍惚间一瞬跌回十八岁,心底骤然泛起的悸动,竟与多年前少年的心跳悄然重合,思绪早已沉进在那遥不可及的青春旧梦里。这般难得的光景,实在不忍任它匆匆流逝。 拿出手机,经过妹妹同意,记录下这一刻,留住此刻悸动。 进入主题:跟妹妹越好时间,带上冬天的第一杯奶茶,来到课室,开门看到妹妹内心就开始悸动,姑凉有点婴儿肥,小脸圆圆的,人照9分象,刚成年的一个小姑娘。声音糯糯的有点沙哑,懵懵懂懂,温柔又带着几分怯生生的稚气。老年人是真的把持不住,一起脱衣进了浴室。 姑凉陪洗的很认真正面反面冲干净,跟妹妹在水中拥吻,洗完妹妹一路小跑进了卧室,钻进被窝说着好冷,我赶紧过去把妹妹抱在怀里,上下其手帮妹…

13 Nov 2026, 08:19 UTC≈1,100 viewsread 13 November 2026
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【时间】:2026-11-07 【老师】:一梵 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:金风玉露一相逢,便胜却人间无数。关注一梵老师有一周时间了 偶然刷到老师的资料 可能对上眼缘了吧 冥冥中有一种执念一定要见下老师 这该死的缘分。终于等到周末闲下来 果断约课,教室很好找,老师发的位置很详细 按指引 地库停车非常方便。上楼老师已经留了门 推门进屋就惊艳了 身姿窈窕 亭亭玉立 容貌清丽 一眼动人 静静立在那里 如月下佳人。 一米七的个头一点儿不虚标,丰乳!肥臀!小蛮腰!大长腿!玉足! 一切的一切都是刚刚好,这哪是老师 这不是我的白月光么 她缓缓地向我走来 抿嘴一笑看我一眼 我便忘掉了生活教会我的所有原则 彻底沉沦…温存片刻 宽衣沐浴 一室氤氲 水声轻轻 暖雾朦胧 并肩而立 爱抚 接吻 缠绵 舌头和唾液交织在一起 肉棒和嫩穴的挑逗相惜 一…

13 Nov 2026, 08:19 UTC≈1,090 viewsread 13 November 2026

【时间】:2026-11-08 【老师】:温妮 【留名】:周星驰 【人照】:8 【颜值】:8 【身材】:7 【服务】:8 【态度】:8 【环境】:8 【综合】:7.83 【过程】:大家好我是周星驰,这一次是好久没有出击,提前好几天约的今天,过程就是我先车到老师小区老师说哪一栋楼我就去上楼时老师还没有去开课房就让我在9楼楼梯口等她等了一会就去课室进门先聊一会天抽一起抽一根烟让后就是洗澡到房间让后就开始舔胸填完就开始口口的差不多了就带上做老师的娇声很骚哈哈哈下面水也多哈哈没坚持几分钟就败下阵来出货穿衣走人

Showing the 12 most recent of 808 posts we hold for @zzclbg. 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

@zzclbg 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
29 August 2026
Most recent edit
29 August 2026

Posts recorded as deleted after publishing

We recorded 1 post on @zzclbg 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
13 November 2026
Most recent seen missing
13 November 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
1

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

“郑州茶楼报告榜” (@zzclbg), 31,797 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/zzclbg.

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.